Raspberry pi 3 Projects

Abstract: Building a secure electronic voting system that offers the fairness and privacy of current voting schemes, while providing the transparency and flexibility offered by electronic systems has been a challenge for a long time. In this work-in-progress paper, we evaluate an application of blockchain as a service to implement distributed electronic voting systems. The paper proposes a novel electronic voting system based on blockchain that addresses some of the limitations in existing systems and evaluates some of the popular blockchain frameworks for the purpose of constructing a blockchain-based e-voting system. In particular, we evaluate the potential of distributed ledger technologies through the description of a case study; namely, the process of an election, and the implementation of a blockchainbased application, which improves the security and decreases the cost of hosting a nationwide election.(IEEE RESEARCH BASED PAPER AVAILABLE)

Abstract: Major part of recognising a person is face .with the help of image processing techniques we can exploit the characteristics apperances of a person. In the old approach method that is used in schools and colleges it is there that the professor calls the student name and then the attendance for the students marked. Here in paper want to deviate from the old approach and go with the new approach by using techniques that are there in image processing. In this paper we presenting spontaneous presence for students in classroom. At first classroom image has been in use and after that image is kept in data record .For the images that are stored in the database we apply system algorithm which includes steps such as, histogram classification, noise removal, face detection and face recognition methods. So by using these steps we detect the faces and then compare it with the database.The attendance gets marked automatically if the system recognizes the faces.(IEEE  RESEARCH BASED PAPER AVAILABLE)

Abstract: Nowadays, there are news of women harassment than their achievements. Women feel unsafe to travel alone at odd hours. There are many android applications that are developed for women safety. But it is not always possible to carry our mobile phones wherever we go or sometimes we forget to carry it. The proposed system is an attempt made to solve the problems of women safety.
The scope of the system is to develop a smart device which can help women in some emergency situations. The system is a smart wearable device which resembles a jacket. The device contains different modules such as GPS (Global Positioning System), GSM (Global System for Mobile communication), Camera, Buzzer, Shock Mechanism Circuit. The main objective of the system is to provide a reliable security system for a women when they are alone or feel unsafe. (IEEE RESEARCH BASED PAPER AVAILABLE)

Abstract: The future of Home Automation depends on Internet of things or IoT. Though the applications of IoT are diverse, the one that concerns the common man is how it can be used to make day to do life easier and faster. This is where Home Automation using IoT comes into the picture. This System presents the design and the development of a futuristic and very interactive Smart Mirror with artificial intelligence for the ambient home automation [6] and commercial uses in the organization also in public environments. This application collects the real-world machine data and displayed it to the user based on his / her requirements. The complete control of Smart Mirror is done by the Raspberry Pi module. This Smart Mirror is implemented using some of the peripheral devices like LCD Screen, microphone, speakers and two-way acrylic sheet to cover the LCD Screen and powered by the Raspberry Pi. The features of the Smart Mirror are weather of the city, latest news updates, date and time . We can interact with the Smart Mirror through the voice commands. (IEEE RESEARCH BASED PAPER AVAILABLE)

With the fast global climate change, many bridge structures are facing the nature disasters such as earthquakes and floods. The damage of bridges can cause the severe cost of human life and property. The heavy rain that comes causes the bridge scour and makes the damage or collapse for bridges. Since scour is one of the major causes for bridge failure, how to monitor the bridge scour becomes an important task. This project presents a real-time bridge scour monitoring system based on vibration sensors. And it will turn on the red led and buzzer will be on The experimental results show our sensor system can detect the bridge scour effectively with our proposed scour detection algorithm in real time.

Here we propose IOT based theft detection project using Raspberry Pi where we use image processing on live video to detect theft using motion and also highlight the area where motion occurred. This system secures offices/homes from theft by instantly detecting theft as well as allowing user to view the theft details thereby highlighting the theft details and saving the video in a usb drive. In this system we use a camera along with raspberry pi along with a circuit with LCD display IR for night vision and USB drive for storage. The system is powered y a 12V power supply. As soon as camera motion is detected in camera footage the system uses image processing to detect exact area of motion occurrence and highlights it accordingly. The system now transmits the images of the occurance over IOT to be viewed by user online. We here use IOT Gecko to develop the online system. Also it stores the footage in a USB drive for further reference. The user can now decode the data sent online using IOT Gecko IOT system to view the images of the motion occurance live remotely over internet. Thus the system provides an innovative approach to theft detection using IOT.

Here we propose a fully automated selfie booth system that does not need any manual button click to take and save selfies. Our system consists of raspberry pi based system with a camera as well as speaker and led’s interfaced through a PCB board to deliver this functionality. This is an innovative system that does not need users to click selfies, it automatically starts taking selfies and saves it in their pen drive using face recognition technique. We here use raspberry pi for fast processing in order to detect if any human faces are detected near the selfie booth, it then instructs the camera to start taking selfies at 2 seconds intervals until user is still standing in front of it. It allows user to attach a pen drive before starting image capture and saves all selfies in it. It is a very entertaining system for parties, events and other occasions to capture automatic selfies of visitors, guests and keep gathering memories of the event. We also use speaker sound effects along with led’s to indicate images capture and successful saving

ABSTRACT: India being a developing country its main aim is to provide basic common commodities on subsidy to poor families to meet their fundamental requirements. The existing public distribution system in Ration shops requires manual measurement of quantity and maintenance of record of transactions. Many problems are encountered by the existing system such as 1. Ration distribution to unauthenticated card holders 2. Card holders wasting time in queues for collecting ration for hours 3. Lots of malpractices such as hoarding, black marketing and overcharging 4. Human intervention in updating transactions and maintenance of records in ledger is difficult.
In this project, IOT based smart public distribution system proposes an automatic method of distribution of commodities to authenticated card holders. Also, the details of transactions made are maintained in a database. The users need to access to their account through the Smart phone by entering their ID and password. Once they are successfully logged in, they can view the stock availability. This system uses Raspberry-pi as controller and it is implemented with Minutiae extraction based fingerprint matching algorithm which efficiently works with greater accuracy score. Automatic distribution of commodities is achieved by using DC motors controlled directly by Raspberry pi to open and close the valves.(IEEE RESEARCH BASED PAPER AVAILABLE)