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Thursday, November 20, 2014


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Secure communication and authentication using Raspberry Pi

In this modern age, everything is getting digitized. Payments is one sector whose future lies in electronic forms. But the biggest problem of electronic forms of payment is security. It has to be ensured that all transactions are carried out in an encrypted manner and none of the data is being compromised whatsoever. Also payment terminals currently are expensive, especially for it to be adopted by vendors in the masses in developing countries. Thus this project aims in addressing both the aforementioned problems. It aims in creating a low cost payment terminal using Raspberry Pi, which can carry transactions securely by accepting both contact and contactless smart cards of various standards from the users.

Robotic arm control in space with color recognition using a Raspberry PI

Abstract:
In this paper a robotic arm control, with color recognition, implemented on a Raspberry PI, will be presented. The Raspberry PI is a small super computer which is suitable for almost any embedded project. To the Raspberry PI is connected a Logitech C270 web camera or a TP-LINK TL-SC3230 IP camera and a USB to serial dongle which does the communication task. The camera pair films the robotic arm and the USB to serial dongle controls the robotic arm. The color recognition is done with OpenCV installed on the Raspberry PI. The robotic arm has glued colored bottle stoppers on the joints which are recognized with color filtering. These joints are united with lines and other lines are drawn to be guide lines to some mathematical computations. Based on these lines a skeleton of the robotic arm is created, which is an info for the Raspberry PI about the position in space of the robotic arm. With further computations the robotic arm can be moved in the desired position.

Remote control of appliances based on Raspberry pi

Abstract:
This paper describes regarding device of domestic appliances depends on humanoid application supported raspberry pi. In initial stage Home automation has been recalled associated an application has been developed within the and stage that is focused on the humanoid method. Mobile devices area unit glorious in providing a programme in an an exceedingly home automation approach. And will be ready to communicate with a home automation network via associate internet however ineffectual to instantly be to bear with devices within the network, as these devices in all probability place into impact low power consumption protocols almost like ZigBee, Wi-Fi etc. During this paper focuosed on dominant home appliances through humanoid gismo utilizing Wi-Fi as communication protocol further more as raspberry pi as server system. Programme has created for the humanoid gismo that permits for the user to stay connected with the Raspberry pi. The Raspberry pi doubtless to be interfaced with a relay card that controls the house instrumentation going for walks in residence. The buyer communicates with the corresponding relay.

An Optimized and Fast Scheme for Real-Time Human Detection Using Raspberry Pi

Abstract:
Real-time human detection is a challenging task due to appearance variance, occlusion and rapidly changing content; therefore it requires efficient hardware and optimized software. This paper presents a real-time human detection scheme on a Raspberry Pi. An efficient algorithm for human detection is proposed by processing regions of interest (ROI) based upon foreground estimation. Different number of scales have been considered for computing Histogram of Oriented Gradients (HOG) features for the selected ROI. Support vector machine (SVM) is employed for classification of HOG feature vectors into detected and non-detected human regions. Detected human regions are further filtered by analyzing the area of overlapping regions. Considering the limited capabilities of Raspberry Pi, the proposed scheme is evaluated using six different testing schemes on Town Centre and CAVIAR datasets. Out of these six testing schemes, Single Window with two Scales (SW2S) processes 3 frames per second with acceptable less accuracy than the original HOG. The proposed algorithm is about 8 times faster than the original multi-scale HOG and recommended to be used for real-time human detection on a Raspberry Pi.

Video surveillance robot control using smartphone and Raspberry pi

Abstract:
This paper proposes a method for controlling a wireless robot for surveillance using an application built on Android platform. The Android application will open a web-page which has video screen for surveillance and buttons to control robot and camera. Android Smartphone and Raspberry pi board is connected to Wi-Fi. An Android Smartphone sends a wireless command which is received by Raspberry pi board and accordingly robot moves. The Video Streaming is done using MJPG streamer program that gets mjpeg data and sends it through a HTTP session. The Raspberry pi programming is done in python language. The experimental result shows that the video streamed up to 15 frames per second.

IoT based urban climate monitoring using Raspberry Pi

Abstract:
Internet of Things is the web of physical objects that contain the embedded technology which is helping to develop man to machine or machine to machine communication. This paper mainly propounds a stand-alone system which is providing a dynamic datasheet about the parameters of the city environment. The system is using low cost low power ARM based minicomputer that is Raspberry Pi. It can communicate through Local Area Network (LAN) or the external Wi-Fi module. Commands from user are processed at the Raspberry Pi using Python language. The data can be monitored with other terminal devices like Laptop, Smart Phone and Tablet which is endowed with the internet facility. This framework is giving access to real-time information about an urban environment which includes the parameters: temperature, humidity, pressure, CO and harmful air pollutants.

Design and implementation of reconfigurable virtual instruments using Raspberry Pi core

Abstract:
Virtual Instrument is a combination of hardware and software that allows the emulation of an instrument through a custom virtual console and a graphical user interface. A virtual instrument consists of a PC equipped with powerful application software, cost-effective hardware such as plug-in boards, which together perform the functions of traditional instruments. In a virtual instrument, it is the software which performs the actual process of measurement. Using virtual instruments one can design a customized instrument and automation setup that is user-defined instead of being limited by traditional fixed-function vendor-defined instruments. Virtual instruments are not efficient systems to handle time critical instrument tasks since they are run by a PC operating system which introduced substantial timing errors into the measurement. The Reconfigurable Virtual Instrument (RVI) system can be considered as a general purpose measurement instrument designed with reconfigurable hardware like FPGA connected to PC through a standard port. By designing a high level software application, one can select any specific instrument functionality from a library of instruments. The high level software application configures the RVI system to convert it into the selected instrument(s) with its associated console. By this technique, one can emulate multiple instrument functionalities like function generator, oscilloscope, multimeter, logic analyzer in a single hardware platform. In this paper, hardware realization of RVI is done using FPGA and Raspberry Pi core.

Experimental Validation of Encrypted Controller Implemented on Raspberry Pi

Abstract:
This study validates an encrypted controller using a practical networked control system implemented on Raspberry Pi with a dc motor. The encrypted controller is able to conceal not only the signals over communication links in the control systems but also the controller parameters. Experimental validation confirms that the signals and parameters inside the controller are concealed and that the processing related to the encrypted controller is done in realtime.

Using raspberry Pi and GSM survey on home automation

Abstract:
In Resent year Popularity of Home automation has been increasing due to low cost and simplicity through Smartphone and tablet connectivity. It is an automation of home or house hold activity. Raspberry Pi is a small computer, which was introduced in the year of 2012; it is currently a mainstream system subject to extensive availability that can be used in home automation. It is estimated that up to 2020 there will be near about 50 billon internet enable devices available. Home automation may contain centralize controller which control lightning in the house, HAVC(Heating, Ventilation and air conditioning), Security locks of gates, doors and other system to provide improve comfort, connivance security and energy efficiency. The aim of this Paper is to develop a home automation application using RPi and GSM. Programming has been developed in Python environment for RPi operation.

Trans receiving multimedia using Raspberry-Pi

Abstract:
Internet of things (IOT) can be considered as a combination of effective hardware and impressive software which results in smart objects which are able to communicate and interact among themselves. However, data flow accuracy between two movable devices is a growing problem. This paper proposes and implements two approaches: Discrete Cosine Transfer (DCT) and Inter-Process Communication (IPC) for maintaining stable communication. In our proposed approach, we use a movable semi-autonomous robot that travels to remote places in order to transmit and receive the information. The Receiving and transmitting process is handled using an IPC. The IPC is supported by using network layers that provide accurate interaction between multiple objects. DCT helps save bandwidth by compressing the technique when the IPC is initiating the communication process. The DCT involves in compressing the data and converting it into sin and cos signals. Our proposed approaches, DCT and IPC, are implemented using the Python platform. Our proposed approaches deployed on robots could improve accuracy and reduce bandwidth consumption that will help in military and coal mining applications.

Intelligent appliances controller using Raspberry Pi

Abstract:
Using the inexpensive Raspberry Pi to automate the tasks at home such as switching appliances on & off over Wi-Fi (Wireless Fidelity) or LAN(Local Area Network) using a personal computer or a mobile or a tablet through the browser. This can also be done by using the dedicated Android application. The conventional switch boards will be added with a touch screen or replaced with a touch screen to match the taste of the user's home decor. PIR (Passive Infrared Sensor) sensor will be used to detect human detection and automate the on and off functionality.

A data acquisition system based on Raspberry Pi: Design, construction and evaluation

Abstract:
This paper presents the construction of a low-cost data acquisition system (DAS) prototype based on Raspberry Pi-2 microcomputer. The prototype is designed to operate as a standalone system without the need for an additional personal computer (PC). It performs the data acquisition, online plotting and data logging, simultaneously. This is a general-purpose setup, as it is capable of reading any analog sensor giving output in the designed range, or through appropriate signal conditioning. The system is tested in a Mechanical laboratory by collecting data which are compared to a benchmark DAS. Statistical analyses are also performed on the acquired data. It is proved that both signals are identical with only minor differences.

Visual servo control law design using 2D vision approach, for a 3 DOF robotic system

Abstract:
This paper is framed in the area of mobile robotics and the use of new technologies. The developments were focused on the design and implementation of a visual servo control algorithm, with the control criterion of error evolution, taking the error as the differences between an image target and the image sensed by a camera mounted on a robotic platform. The robotic platform has three degrees of freedom (DOF) and was constructed by using the LEGO Mindstorms robotics kit. The robot movement control (mobile platform and camera) is performed using a single board computer (Raspberry Pi) mounted in the platform, this device computes the control law and process the images. Too, was developed an application for Android system that allows control the robot. It is also possible to watch the streaming video from the camera.

An IoT based patient monitoring system using raspberry Pi

Abstract:
In the recent development of, Internet of Things (IoT) makes all objects interconnected and it has been recognized as the next technical revolution. Some of the applications of Internet of Things are smart parking, smart home, smart city, smart environment, industrial places, agriculture fields and health monitoring process. One such application is in healthcare to monitor the patient health status Internet of Things makes medical equipments more efficient by allowing real time monitoring of patient health, in which sensor acquire data of patient's and reduces the human error. In Internet of Things patient's parameters get transmitted through medical devices via a gateway, where it is stored and analyzed. The significant challenges in the implementation of Internet of Things for healthcare applications is monitoring all patient's from various places. Thus Internet o Things in the medical field brings out the solution for effective patient monitoring at reduced cost and also reduces the trade-off between patient outcome and disease management. In this paper discuss about, monitoring patient's body temperature, respiration rate, heart beat and body movement using Raspberry Pi board.

A prototype of child monitoring system using motion and authentication with Raspberry Pi

Abstract:
A survey conducted by The United States Department of Health and Human Services (2014), reported that 3.6 million children are victims of child abuse that occurred in the country. In fact, not only in U.S, but child abuse also occurred in around the world, especially in areas with high children population. Monitoring systems became an important and popular in the era of technological development. It serves as a deterrent to violent crime and prevent burglary. In this research project, we focus on child monitoring system using motion and authentication with Raspberry Pi. We use Raspberry Pi microcomputer with evolutionary prototype method in order to monitor the children with video streaming media and motion detection. Moreover, this prototype can help parents to monitor children which can be accessed easily by online through the Web site with authentication feature. The results of this research project showed that the prototype system using Raspberry Pi microcomputer can provide a sense of security and assist parents in monitoring a child. Parents able to monitor their children with real-time video streaming media and motion detection. Once the motion is detected, this system will identify with red-box. To make it easier to use, the system can be accessed online through the Web that have authentication feature.

Industrial robotic automation with Raspberry PI using image processing

Abstract:
The aim of this paper is to present a system powered by a Raspberry PI and an industrial robotic arm, which can execute numerous task in a factory. The used robotic arm and imaging devices are industrial type, but the control system it's a simple development microprocessor board. The robotic arm it's the SCORBOT-ER III and the imagining devices are IP cameras. The goal it's to demonstrate that even complex industrial systems can be run with modest and small card-size pocket computing devices. Final scope is to prove, that with only one microchip, smart autonomous robotic systems, can be created.

Supersensors: Raspberry Pi Devices for Smart Campus Infrastructure

Abstract:
We describe an approach for developing a campus-wide sensor network using commodity single board computers. We sketch various use cases for environmental sensor data, for different university stakeholders. Our key premise is that supersensors -- sensors with significant compute capability -- enable more flexible data collection, processing and reaction. In this paper, we describe the initial prototype deployment of our supersensor system in a single department at the University of Glasgow.

Raspberry Pi controlled Traffic Density monitoring system

Abstract:
This paper explains a Raspberry Pi controlled Traffic Density monitoring system. Raspberry Pi is a single board computer which can be effectively used for multi-functionalities. Here is the one of the ways of using this for multiple purposes. It is used for traffic surveillance purpose where the traffic is continuously monitored and recorded. In addition to this, it is used for detecting the traffic density and gives the traffic report to the travelers. This traffic report is updated periodically and displayed on the screens installed at the public places. These screens can also be used for advertising purposes which is an additional advantage. Using Raspberry Pi one can manage the preference of advertising and displaying traffic report. This installation supports Government by making things digitalized. This also helps in avoiding usage of papers and plastic for advertising. It results in saving environment by reducing plastic usage and also by reducing the deforestation. This method is very cost effective.

Real-time emotion recognition from facial images using Raspberry Pi II

Abstract:
In present day technology human-machine interaction is growing in demand and machine needs to understand human gestures and emotions. If a machine can identify human emotions, it can understand human behavior better, thus improving the task efficiency. Emotions can understand by text, vocal, verbal and facial expressions. Facial expressions play big role in judging emotions of a person. It is found that limited work is done in field of real time emotion recognition using facial images. In this paper, we propose a method for real time emotion recognition from facial image. In the proposed method we use three steps face detection using Haar cascade, features extraction using Active shape Model(ASM), (26 facial points extracted) and Adaboost classifier for classification of five emotions anger, disgust, happiness, neutral and surprise. The novelty of our proposed method lies in the implementation of emotion recognition at real time on Raspberry Pi II and an average accuracy of 94% is achieved at real time. The Raspberry Pi II when mounted on a mobile robot can recognize emotions dynamically in real time under social/service environments where emotion recognition plays a major role.

People identification and counting system using raspberry Pi

Abstract:
The work in this paper focuses on an implementation of OpenCV in an embedded system like raspberry Pi to create a mini-standalone station for counting people. The key feature of AU-PiCC (Assumption University's raspberry Pi Customer Counter) is to count a number of interested people on target product in a pre-defined area along with a simple face identification to avoid counting duplicates. The experimental results show that this raspberry Pi-based system can be used as a simple people counter station

Cloud robotics in industry using Raspberry Pi

Abstract:
Cloud robotics is a field of robotics that attempts to invoke cloud technologies such as cloud computing, cloud storage, and other Internet technologies centered on the benefits of converged infrastructure and shared services for robotics. Our project is a cloud robot which is used in industrial and manufacturing environment. It works on a ROS platform. Here we use Raspberry Pi controller to control the various devices attached to it. For testing this implementation, Android phone, camera, DC motor, sensors and a Raspberry pi controller have been used. The movement of the robot is provided by DC motors and the direction is controlled from an android environment using Robot Operating System (ROS). The controller and the receiver end is connected by Wi-Fi. The data input from the gas, temperature and Infra Red sensors is given to the Raspberry Pi controller. A camera is used to provide visual input of the surrounding environment to the robot. The data obtained by the sensors and camera are processed by the controller and stored in cloud

IoT based data processing for automated industrial meter reader using Raspberry Pi

Abstract:
With the increasing importance of information processing in industries arises the need for efficient data logging systems that are compatible with existing measuring devices such as LCD and LED meters. This paper presents the framework for an Internet of Things (IoT) device as an automated industrial meter reader that uploads the collected numeral data to a cloud storage for centralized data processing. The implementation of the device is done using Raspberry Pi as the platform. The device follows a four-step process-Image Acquisition using Raspberry Pi camera module, Optical Character Recognition using feature extraction technique, Internet Upload Mechanism using Google Forms and Online Data Processing using Google Spreadsheet. The performance of the device and techniques for debugging are also discussed.

Monitoring and controlling of mobile robot via internet through raspberry Pi board

Abstract:
This paper presents the control of terrorist attack throughout the world by monitoring and controlling of mobile robot via internet through Raspberry pi board. The monitoring and controlling of robotic movements through wireless network by using a web browser and accessing a webpage. A camera is mounted on the robot to get better visibility of the objects. The programming language of the robot is based on the LINUX platform which will be interfaced with Raspberry Pi board. The PIR sensor detects a person or an object enters into a surveillance area and the smoke sensor detects the fire accidents by sensing the smoke level increase in the atmosphere. The output of the sensors can be indicated via alarm to the user. This mobile robot can be operated from everywhere in the world by using internet of things (IOT).

Combining Raspberry Pi and Arduino to form a low-cost, real-time autonomous vehicle platform

Abstract:
This paper presents a novel, low-cost autonomous vehicle platform based on the combination of a Raspberry Pi mini-computer, an Arduino micro-controller, and a Zumo track-driven robot chassis. The Arduino allows the control law to be executed at hard real-time intervals while the Raspberry Pi provides additional computing power, a web interface, and wireless data-streaming for control tuning and debugging. The efficacy of the platform in controls education is assessed after using the platform for demonstration purposes in a first course on feedback control. The entire system including the Raspberry Pi and Arduino Uno costs roughly $215.

Road sign recognition system on Raspberry Pi

Abstract:
Digital image processing, i.e. the use of computer systems to process pictures, has applications in many fields, including of medicine, space exploration, geology and oceanography and continues to increase in its applicability. The main objective of this paper is to demonstrate the ability of image processing algorithms on a small computing platform. Specifically we created a road sign recognition system based on an embedded system that reads and recognizes speed signs. The paper describes the characteristics of speed signs, requirements and difficulties behind implementing a real-time base system with embedded system, and how to deal with numbers using image processing techniques based on shape and dimension analysis. The paper also shows the techniques used for classification and recognition. Color analysis also plays a specifically important role in many other different applications for road sign detection, this paper points to many problems regarding stability of color detection due to daylight conditions, so absence of color model can led a better solution. In this project lightweight techniques were mainly used due to limitation of real- time based application and Raspberry Pi capabilities. Raspberry Pi is the main target for the implementation, as it provides an interface between sensors, database, and image processing results, while also performing functions to manipulate peripheral units (usb dongle, keyboard etc.).

Home automation system with android application

Abstract:
This work demonstrates a simple home automation system that allows the user to control home appliances through wireless. Lights, air conditioners, electronic doors and fans are among the appliances that can be used in this system. In this system, the controlling and monitoring the appliances can perform in two methods. The first method is through a web server meanwhile the second method is by using smartphone based on Android application. This web interface has framework known as Restful Api and function as to control Raspberry Pi gpio using an http request. Besides that, Android apps will exploit the services provided by Restful Api for controlling gpio of Raspberry Pi. Both the methods are using Restful Api but it is included in the web interface, whereas for Android we need to add our suitable functionalities. A desktop PC is used to run the server software. Rasberry Pi is used as the board controller to connected the appliances thru input and output port. The communication between the smartphone and the Raspberry Pi board is wireless.

Automated wireless flood warning system in remote areas

Abstract:
During a natural calamity, it is almost impossible to reach out to people and alert them. In order to reach out and communicate to more people during floods, an idea to create a safety device, which measures the water level in the water body and alerts people if the level crosses the set threshold level, is being developed. A sensor is placed in the water body at the threshold level. If the level increases and is about to reach the threshold level, the device (raspberry pi) in the control room is indicated by the sensor. This will help people in evacuating more efficiently even in crucial times. The device will be a vital tool as well as a ray of hope to the people in difficult times.

Development of an IoT-based visitor detection system

Abstract:
In this paper, we proposed an IoT-based visitor detection system. It uses an IR sensor to detect human body and two ultrasonic sensors to locate visitor servo motor under the position. When a visitor is detected it drives camera module to locate the visitor. Recoded video and sensor data are stored in the Database. Saved data can see via the PC and Smart device. We developed the system using Raspberry Pi2 and sensor modules to verify the concept. It can track the visitor moving route and minimize the blind spots of the camera. And sensor data and recoded video are checked internet possible all remote location.

A low-cost pavement image acquisition system

Abstract:
The paper presents an acquisition system, intended to be used for recording the images of the pavement in front of a vehicle and the geographic position where the images were taken. The main advantages of this system are: easy to deploy in a regular car, low-cost, easy to use acquisition and recording software. The system is based on a cheap and widespread board, Raspberry Pi. It can record images up to 8Mpix, at an average rate of 4 fps, or lower resolution at higher speeds. The position provided by a GPS receiver is also recorded. Supplementary, this system can support a glueless interface with a car vibration acquisition subsystem. The images and the vibration signals are useful for the inspection of the pavement. Alternative solutions (such as a smart phone or image recorders) are not suitable, as they can not record double camera images, nor do they record multiple vibration signals. The presented system was built and tested on real vehicles, in order to validate its properties.

A web-based IoT solution for monitoring data using MQTT protocol

Abstract:
In this paper, a web-based Internet of things solution aimed for monitoring, tracking and analyzing data in agriculture area is proposed. The purpose of the presented solution is to facilitate monitoring of different manufacturing process in mentioned area using IoT technologies. A real time data is achieved using broker-based publishing/subscribing Message Queue Telemetry Transport protocol which is briefly described. Using this protocol limitations resulting from constrained networks in rural areas are avoided. Collected data from sensors is shown and stored in web part of the information system. An architecture of the web application is described as a client-server three-tier architecture in which the graphical user interface (presentation layer), application functions and logic (application layer) and computer data storage (database layer) are developed and maintained as independent modules, on separate platforms. This type of implementation is developed by the manufacturers need for monitoring and tracking data. This architecture is based on future concrete implementation, at least in segments, in several agricultural facilities in Virovitica-Podravina County.

An intelligent flood monitoring system for Bangladesh using wireless sensor network

Abstract:
This paper presents a neuro-fuzzy controller based flood monitoring system using wireless sensor network. The distributed sensor nodes use IEEE 802.15.4 protocol, also called low rate wireless personal area network, to collect the sensor information such as water level data from the river, rainfall, wind speed and air pressure data from a selected site. In order to validate the proposed flood monitoring system, Chadpur, a flood prone district of Bangladesh, has been considered as selected site. The sensors information are sent to the distributed alert center via Arduino microcontroller and the XBee Transceivers. At the distributed alert center, XBee Transceiver and a Raspberry Pi microcomputer are used to generate flood alert based on sensor information and two decade flood data and these data are stored in a database. Sensor information are analyzed by the intelligent neuro-fuzzy controller used in Raspberry Pi microcomputer to announce the flood alerts. The wireless sensor network is connected as mesh topology which can send signals over far distance. The performance evaluation reveals that the proposed system accurately detect flood alert compared to the existing flood alert system.

Device for early diagnosis of Diabetic Autonomic Neuropathy

Abstract:
In this paper, a design is proposed of a Pupillometer, which comprises of a spectacle mounted Pi-NoIR Infrared Camera system to detect pupil dilation, constriction and saccades of the eyes of the patient. These parameters are tracked using IR Illuminators mounted on spectacle frame that will be interfaced to a Raspberry Pi 2 Development board. The Raspberry Pi 2 is programmed to map the visual acuity parameters. To achieve constriction and dilation, bright LEDs of White, Red, Green and Blue wavelengths are Turned ON and OFF respectively, at rapid rate, while the tracking is going on. The saccade velocity assessment is done by showing a rapidly moving pattern between 2 points. Thus, by obtaining these ranges for the patient and comparing them with a pre-calibrated diabetes proneness scale, the patient's proneness to diabetes and also an accurate measure of his/her Visual Acuity is obtained. A standard deviation of plus or minus five percent with respect to the database values of normal and diabetic patients is mapped and the proneness to Type 2 Diabetes is evaluated. This paper proposes a preventive diagnostics, cost effective and a prick free standalone modality for early diagnosis of Type 2 Diabetes. The Visual Acuity is proportional to the patient's proneness to Diabetic Autonomic Neuropathy which is a prime symptom of Type 2 Diabetes.

Real time iris based robot

Disability of movement has huge impact on the life of physically disabled people. Therefore there is need to develop a robot which can be controlled using iris movement. Presently iris controlled robotic systems exist in which iris movement detection is done using MATLAB. This paper proposes a system which aims to design a robot controlled by iris movement. The system is designed using Raspberry Pi and Pi Camera Module which make the system cost effective and stand alone. An Open Source Computer Vision is integrated on Raspberry Pi for real time image processing. A general purpose higher-level language, Python is used for programming the Raspberry Pi. The main aim of the system is to recognize iris from an image of eye and find the centroid of the iris. The centroid position is further used to operate the robot in various directions.

A design for wireless music control system using speech recognition

Abstract:
Speech is the most common form of human conversation. It is very essential for communication purpose. Speech recognition technology is considerably increasing and is coming into practice enabling innovative voice driven application. The communication among human computer interaction is called as human computer interface. Speech recognition systems can provide very efficient alternatives for existing systems where controlling a music player physically can be very inconvenient for old or physically challenged people. As the person may find it difficult to be near the music system always, the proposed system gives wireless speech recognition system to control the music player which is at certain distance.

Intelligent intrusion prevention system for households based on system-on-chip computer

Abstract:
Over the course of the last few decades, security systems have undergone radical overhauls and have transitioned into such sophisticated devices that some even completely shun any form of human interventions. In spite of its tremendous innovations, however, such setups have not yet made their way into homes and residences, partly owing to the fact that the equipment bear high price tags and lack user friendliness. This paper propositions a unique security system for residences that aims to solve the shortcomings of commercial alternatives. Basically, a Raspberry Pi 2 System-on-Chip (SoC) computer equipped with a camera module and placed outside the entrance of a house would attempt to identify would-be visitors by the means of image processing and voice identification. The system would spontaneously greet known faces with a friendly voice greeting and unlock the main door to allow them to enter the home. In case of unknown faces, the system would initiate a video call to the home's owner through a smartphone application and allow the owner to communicate with the unknown visitor. Upon receiving approval from the owner, the visitor's details would be entered into the system and the main door would be unlocked. If the owner denies access, he or she has the option to verbally ask the unknown visitor to leave or in extreme cases, press a button to call the police.

Pervasive monitoring of carbon monoxide and methane using air quality prediction

Abstract:
The first step towards pollution control is monitoring pollution. In this paper we present an innovative way of pollution monitoring in which any person can see the pollution content of a specific area where the sensors are installed and take measures to control the same. A prototype for monitoring few major gas pollutants like CO, CH4 along with the temperature variations in the surroundings has been implemented. The semiconductor gas sensors (MQ7, MQ4) were calibrated according to standard methods and interfaced with Raspberry Pi Model B+ using Python 2.7. The readings are displayed in real time and also recorded using an online analytics and data visualization tool, Plotly. This model can further be improved by adding more number of sensors to create a low cost and portable system for pollution monitoring.

Study of implementation of Voice Controlled Wheelchair

Abstract:
To improve the life of disabled people by use of automated tools, many scientists and organizations have been doing research on designing various products. One such intelligent product is the Voice Controlled Wheelchair. Many methods have been used to design it, each method uses a different hardware and hence providing specific functionalities. In this paper we examine few of the implemented methods and then propose a new model based on the concept of Artificial Intelligence which uses Raspberry Pi, for controlling the device, infrared and ultrasonic sensors for robust obstacle detection, USB microphone for voice input. Thus, enhancing the hardware used in previous models and at the same time achieving cost efficiency.

Online and offline electronic question and answer system: Quick question

Abstract:
Asian students with conservative behaviors tend to feel embarrassed and reluctant to ask questions in large classrooms. This paper proposed a mobile-compatible web-based question and answer application to address the aforementioned problem. This proposed web application is known as Quick Question (QQ). QQ is designed to allow students to post questions anonymously and rapidly during class hours. QQ can be accessed online from a web hosting server, or offline from a Raspberry Pi without Internet access. QQ can run on multiple platforms with different screen sizes and capable of serving 250 concurrent users while using the Raspberry Pi. QQ also includes a profanity filter that censor bad words with an accuracy of 86.11%. Furthermore, a term extraction and learning mechanism is implemented to help in grouping and sorting questions posted by students in a class.

Implementation of face detection and tracking on a low cost embedded system using fusion technique

Abstract:
This paper presents the fusion techniques for detecting and tracking the face. The proposed method combines the Viola-Jones method, the CamShift tracking, and the Kalman Filter tracking. The objective is to increase the face detection rate, while reduce the computation cost. The proposed method is implemented on a low cost embedded system based-on the Raspberry Pi module. The experimental results show that the average detection rate of 98.3% is achieved, and it is superior compared to the existing techniques. The proposed system achieves the frame rate of 7.09 fps in the real-time face detection.

IoT smart parking system for reducing green house gas emission

Abstract:
Rapid climate change results natural calamity and severe economic impact and threats to the life. Burning fossil fuels by the medium of transportation contributes 1/3 of portion in increasing greenhouse emission and leading to raise surface temperate. Commuters in and around the developed cities faces difficulties in finding parking lot due to lack of notification process and autonomous parking systems. This causes commuters to take multiple rounds trips to get the parking slot which causes burning additional fuel and ultimately producing excessive CO2 emission. This paper describes solution to smart parking system using Internet of Things (IoT) to override parking hazards and explains how does it helps to minimize emitting greenhouse gases. IoT enables smart parking system using the system of interconnected Raspberry Pi, Distance Sensor, Pi Camera devices together. This hardware reacts to one another collects data and transmits to cloud storage.

Device to device interaction analysis in IoT based Smart Traffic Management System

Abstract:
Device to Device Communication pattern is analyzed for IoT based Smart Traffic Management System in the paper. In this type of communication pattern there is no any human intervention in a system because of direct communication between the devices, hence it is completely automated. D2D Communication Patterns are in great demand in IoT sector where a Thing (Device) is controlled by Internet from any remote place by using another Device. Here in an experiment of Smart Traffic Management System the method to determine Traffic Density on a particular lane is discussed. Ultrasonic Sensors are employed as the data acquisition unit to collect the information regarding Traffic Density and Raspberry Pi is used as Control Unit for processing the data. The information regarding traffic density sensed is processed and transmitted to the users provided with Android Application, where the user get a notification about the traffic density in that particular lane and hence assist to take an alternate path.

Intelligent stereo camera mobile platform for indoor service robot research

Abstract:
Stereo vision is an active research topic in computer vision. Point Grey® Bumblebee® and digital single-lens reflex camera (DSLR) are normally found in the stereo vision research, they are robust but expensive. Open source electronic prototyping platforms such as Arduino and Raspberry Pi are interesting products, which allows students or researchers to custom made inexpensive experimental equipment for their research projects. This paper describes the intelligent stereo camera mobile platform developed in our research using Pi and camera modules and presents the concept of using inexpensive open source parts for robotic stereo vision research work in details.

Cost effective digitization of home appliances for home automation with low-power WiFi devices

Abstract:
The notion of a smart home with integrated sensors, actuators, wireless network and a graphical user interface is very enticing. This paper presents the design and implementation of reliable, flexible, secure and economical sensor network for transforming traditional home into a smart home. The heterogeneous sensor and actuator nodes based on wireless networking technologies are deployed in the home environment. These nodes communicate to a middleware which runs home automation server and which operates as broker to facilitate the MQTT connectivity protocol. The middleware facilitates controlling of wireless nodes over local as well as remote network. The proposed system is designed to be low cost and scalable to accommodate variety of devices to be controlled.

An intelligent visual line tracking system via quadrotor platform

Abstract:
This paper proposes a scheme using open source autopilot controller and on-board computer (i.e. Raspberry Pi 2) to realize vision tracking flight mission based on computer vision. System structure design, image processing and controller are introduced respectively. The proposed image processing algorithm can reduce computational work and also the well designed controller can realize line tracking. Experiment result based on DJI F450 quadrotor is provided to demonstrate the effectiveness of the proposed scheme.

Smart street light system based on image processing

Abstract:
This article presents streetlight system, the concept to boost energy efficiency of a city. Nowadays, people are too busy, and unable to find time even to switch OFF the lights whenever not required. The system works like, the street lights are changed to ON state in the evening before the sun sets and they are switched OFF next day morning after there is enough light on the roads. This paper gives the best solution for reducing the energy consumption. This system detect vehicle movement/human presence on highways to switch ON only a chunk of street lights ahead of it and to switch OFF the trailing lights in order to reduce consumption of energy. This is achieved by processing the image of approaching object and then sending control message to the street light block. Additional attractive features of the system using suitable sensors for detecting the failed street light and then sending an SMS to the control authority via GSM modem for appropriate action are also included.

Development of IoT based smart security and monitoring devices for agriculture

Agriculture sector being the backbone of the Indian economy deserves security. Security not in terms of resources only but also agricultural products needs security and protection at very initial stage, like protection from attacks of rodents or insects, in fields or grain stores. Such challenges should also be taken into consideration. Security systems which are being used now a days are not smart enough to provide real time notification after sensing the problem. The integration of traditional methodology with latest technologies as Internet of Things and Wireless Sensor Networks can lead to agricultural modernization. Keeping this scenario in our mind we have designed, tested and analyzed an 'Internet of Things' based device which is capable of analyzing the sensed information and then transmitting it to the user. This device can be controlled and monitored from remote location and it can be implemented in agricultural fields, grain stores and cold stores for security purpose. This paper is oriented to accentuate the methods to solve such problems like identification of rodents, threats to crops and delivering real time notification based on information analysis and processing without human intervention. In this device, mentioned sensors and electronic devices are integrated using Python scripts. Based on attempted test cases, we were able to achieve success in 84.8% test cases.

Structural model of passenger counting and public transport tracking system of smart city

Abstract:
The structure of passenger counting and public transport tracking system of smart city and structural model based on the method of complex discrete systems simulation Petri nets are developed in the article. Reachability graph of the system states that allows to investigate the dynamics of the system is given. The functioning of the implemented system of passenger traffic and public transport tracking were briefly described.

Open-source smart home modules Sign In or Purchase

Abstract:
The main aim of this paper is to provide open-source and open-hardware solution for home control automation systems. Final approach uses wireless communication, solar powered sensor array and simple scale-up system network and it is called HomeBeacon. System consists of one central station and multiple portable units providing the sensor array. As a control part, various action units can be implemented according to desired needs to nearby located units. HomeBeacon system is built to be energy efficient which is mainly represented by solar panels powering up each BeaconUnit and to be flexible where the aim is to provide the ability of simple scaling-up and adjustment of individual BeaconUnits to suite them for particular operation needs.

Low cost and portable patient monitoring system for e-Health services in Bangladesh

Abstract:
This paper proposes a low cost and portable patient monitoring system for e-Health services in Bangladesh. A raspberry pi microcomputer based system has been developed which can be used by paramedics for collecting different sensor data such as ECG signal, blood pressure signal, heart beat signal, Situation of Oxygen in Blood(SPO2), temperature and generating different signals from a patient and send these signals to specialist doctor who are in a centre or in a hospital. A web based application has been developed for both doctor and paramedics for efficient communicate with each other. It has been found that the system can be suitable for village health care centre of Bangladesh.

Cost effective digital signage system using low cost information device

Digital signage systems that include some computer devices are widely used for displaying some dynamic information, unlike wall ads that are unchanged for a certain period. At the replacement time of our university's digital signage system, we need to implement cost effective digital signage system. Therefore, we developed a brand-new style of the digital signage system using low-cost information device. In this demonstration, we introduce two prototype systems, 1) the signage display device, and 2) the central digital signage management system, which is now in implementing.

A wearable portable electronic travel aid for blind

There have been numerous accounts of research relating to navigation assistance using vision sensors for those who are visually impaired. The struggle now is to find a solution that is low-powered, easily portable, low-cost, and still effective, which could theoretically be used by visually impaired users in order to improve their quality of life. This paper presents the design and implementation of such a system. The architecture begins with an array of ultrasonic sensors to survey the scene. Following that, distance information is used to provide a variety of distinct audio cues via a Bluetooth headset to its user. Data processing is done on a Raspberry Pi, which acts as the link between the input and output devices. Tests demonstrate that the system is accurate within the threshold radius and functions as a navigational assistant

Multi-functional secured smart home

Abstract:
Enhancing the home security by remote control means is a cutting-edge research area in the domain of Internet of Things (IoT's). The necessity of security is increasing these days, ranging from thefts, burglary, accidents, LPG gas leakage and fire detection etc, which all are important aspects of a Home Security System. In this paper, a prototype Multi-Functional Secured Smart Home (SSH) model is developed. Generally a home security system uses signals in terms of alarm of intruder detection. However, the proposed Multi-Functional Secured Smart Home uses a mobile communication (GSM) based Home Security System, which helps to provide a better security to have systems that can be globally connected. In the proposed system a text message is sent, whenever an event from any sensor is detected, so that immediate actions could be taken by the home owner. The proposed SSH sends SMS using GSM-Module and mail through Raspberry Pi micro-controller. The prototype SSH based smart system also uses an Arduino micro-controller board for commands processing and control. The system uses GSM technology, which provides global access to the Smart Home Security System. The prototype SSH, developed at a low cost, can be used for converting existing homes into smart homes at relatively affordable cost and with convenience. The performance testing results of the prototype SSH are encouraging.

On-the-Fly Image Classification to Help Blind People

Abstract:
In this paper we present an affordable solution to help blind people navigate unknown environments. Our solution performs image classification on a Raspberry Pi and provides feedback to users by means of vibration motors to signal the presence of an obstacle in a given direction. The training phase is performed off-line, while the on-line phase can classify an image in 1.12 seconds on average. We provide an evaluation using several thousands images, showing that we can achieve a precision of 79% and a recall of 79%. All our code and the hardware design files are released open source.

An affordable cuff-less blood pressure estimation solution

Abstract:
This paper presents a cuff-less hypertension pre-screening device that non-invasively monitors the Blood Pressure (BP) and Heart Rate (HR) continuously. The proposed device simultaneously records two clinically significant and highly correlated biomedical signals, viz., Electrocardiogram (ECG) and Photoplethysmogram (PPG). The device provides a common data acquisition platform that can interface with PC/laptop, Smart phone/tablet and Raspberry-pi etc. The hardware stores and processes the recorded ECG and PPG in order to extract the real-time BP and HR using kernel regression approach. The BP and HR estimation error is measured in terms of normalized mean square error, Error Standard Deviation (ESD) and Mean Absolute Error (MAE), with respect to a clinically proven digital BP monitor (OMRON HBP1300). The computed error falls under the maximum standard allowable error mentioned by Association for the Advancement of Medical Instrumentation; MAE <; 5 mmHg and ESD <; 8mmHg. The results are validated using two-tailed dependent sample t-test also. The proposed device is a portable low-cost home and clinic bases solution for continuous health monitoring.

Real-time nonintrusive monitoring and detection of eye blinking in view of accident prevention

Abstract:
Driver fatigue is the major cause of accidents in the world. Detecting the drowsiness of the driver is the surest ways of measuring the driver fatigue. The purpose of this paper is to develop a drowsiness detection system. This system works by analyzing the eye movement of the driver and alerting the driver by activating the buzzer when he/she is drowsy. The system so implemented is a nonintrusive real-time monitoring system for eye detection. During monitoring, the system is able to decide whether the eyes were opened or closed. When the eyes were detected closed for too long, a signal was issued to warn the driver. In addition, the system also have an option for making vibration when drowsiness was detected. The aim is on improving the safety of the driver without being obtrusive. Visual cues were obtained through eye blink rate by using a camera, which typically characterize the level of alertness of a person. These were extracted in real-time and systematically joined to check the fatigue level of the driver. The system can monitor the driver's eyes to detect short periods of sleep lasting 3 to 4 seconds. The system implemented in this approach runs at 8-15 frames per second. The application was implemented using Open CV in Raspberry Pi environment with a single camera view. This system was used to detect the drowsiness of the driver and thereby reducing the road accidents.

EcoSensor: Monitoring environmental pollution using mobile sensors

Abstract:
Air pollution monitoring has become an essential requirement for cities worldwide. Currently, the most extended way to monitor air pollution is via fixed monitoring stations, which are expensive and hard to install. To solve this problem, we have developed EcoSensor, a solution to monitor air pollution through mobile sensors. It is deployed with off-the-shelf hardware such as Waspmote (based on the Arduino platform), low-end sensors, and Raspberry Pi devices.

Computer vision approach based speed limit assistant

Abstract:
In work, a real-time speed limit warning assistant system for drivers is presented. The proposed approach is able to produce optical and acoustic warnings by detecting speed limit signs simply processing captured images via a camera. The system developed can process by up to 7 frame per second on Raspberry Pi 2 single board computer.

A computationally low cost vision based tracking algorithm for human following robot

Abstract:
Recently, there has been an increasing interest in the field of human interactive robotics. Contrary to otherwise complex and resource hungry algorithms, we in this work have presented a computationally low cost algorithm for a human following robotic application. Instead of detecting the human, the algorithm makes use of a specific colour tag placed on the human subject which is detected by a camera mounted on the robot. Sensors including range sensor, magnetometer and optical encoders are utilized in tandem to assist the human following process. The method is tested on a custom built robotic platform running Raspberry pi minicomputer. We have performed and presented the results of several experiments for the evaluation of our method.

IoT enabled aquatic drone for environmental monitoring

Abstract:
The article describes a monitoring system based on Raspberry Pi platform and a multichannel sensing module associated with water quality and air quality measurement parameters. Thus the temperature, conductivity, relative humidity and gas concentration are measured as was as the underwater acoustic signals. The data is stored on the memory of the drone's computational platform, and synchronized with a remote server database. Advanced data processing algorithms were implemented on the server side. Additionally, a mobile application was developed to be used by people working in the field for data visualization and statistical analysis.

A Secure IoT-based Healthcare System with Body Sensor Networks

Abstract:
The ever-increasing advancement in communication technologies of modern smart objects brings with it a new era of application development for IoT (Internet of Things) based networks. In particular, owing to the contactless-ness nature and efficiency of data retrieval of mobile smart objects, such as wearable equipment or tailored bio-sensors, several innovative types of healthcare systems with body sensor networks (BSN) have been proposed. In this paper, we introduce a secure IoT-based healthcare system which operates through BSN architecture. To simultaneously achieve system efficiency and robustness of transmission within public IoT-based communication networks, we utilize robust crypto-primitives to construct two communication mechanisms for ensuring transmission confidentiality and providing entity authentication among smart objects, the local processing unit and the backend BSN server. Moreover, we realize the implementation of the proposed healthcare system with the Raspberry PI platform to demonstrate the practicability and feasibility of the presented mechanisms

Medical warehouse monitoring and control system using LabVIEW

Abstract:
This project is about building a monitoring and control system for medical warehouse to ensure the medicine in warehouse is maintained within acceptable temperature and humidity limits. A virtual instrument (VI) has been designed to provide graphical user interface (GUI) for monitoring and controlling the environment condition with a real time access. The functionality of the system was successfully developed using LabVIEW software. Data display and data logger using LabVIEW was performed well from sensor measurement. Arduino was used as the brain to control the input and output devices. Besides that, Raspberry Pi was used to provide a wireless bridge to Arduino which running in LabVIEW LINX program. The performance of the system was tested and met the specified requirements. This system is able to alert the user when the temperature and/or humidity is out of the specified range by giving a warning through LED display, e-mail and short message notification.

Smart sensor network for smart buildings

Abstract:
In the new age of technology, internet and ever-improving communications many trends and fields have been appearing, such as smart phones and their applications, internet of things, renewable energy sources and smart buildings. The latter utilizes a number of aspects from the former, as the size of the buildings keeps growing, the engineers and designers aim to reduce energy consumption and ecological footprint, make the building safer and more sustainable. This has stimulated the growth of the field of sensor networks. This paper discusses a smart sensor network which utilizes Power over Ethernet, P.o.E., supplied by a Cisco Catalyst 4507R+E switch and cloud computing to provide an easily scalable and adaptable system that would be able to adapt easily to a wide array of applications and fit the demands of new trends. The system was tested on Raspberry Pi and BeagleBone microcontroller boards as sensor hubs, and uses DigitalOcean as the cloud computing service of choice. The server in this implementation acts as a user interface, front end, and as the console unit, back end. The system has demonstrated to have fast communication times of below 200ms in a cross-continental setting and able to provide fast processing times of under 1s.