IEEE 2021-2022 : IEEE IOT Raspberry Pi Projects

IEEE IOT Raspberry Pi Projects (2019-2020)

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DHS Informatics provides academic projects based on IEEE IOT Raspberry Pi Projects with best and latest IEEE papers implementation. Below mentioned are the 2021-2022 best IEEE IOT Raspberry Pi Projects  for CSE, ECE, EEE and Mechanical engineering students. To download the abstracts of IOT domain project click here.

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Abstract: The proposed system is based on Raspberry Pi Single board computer system.    This system is designed to connect to any type of network such as GPRS, LAN, Wi-Fi for telemedicine. This system will serve as communication backbone for telemedicine implementation in rural India. Recently, remote healthcare systems have received increasing attention in the last decade, explaining why intelligent systems with physiology signal monitoring for e-health care are an emerging area of development. Therefore, this work adopts a system which includes continuous collection and evaluation of multiple vital signs, long-term healthcare, and a cellular connection to a medical center in emergency case and it transfers all acquired raw data by the internet in normal case. The proposed system can continuously acquire four different physiological signs, for example, ECG, SpO2, temperature, and blood pressure and further relayed them to an intelligent data analysis. The proposed system also has a friendly web-based interface for medical staff to observe immediate pulse signals for remote treatment. Once abnormal event happened or the request to real-time display vital signs is confirmed, all physiological signs will be immediately transmitted to remote medical server through both cellular networks and internet. Also data can be transmitted to a family member’s mobile phone or doctor’s phone through GPRS. A prototype of such system has been successfully developed and implemented, which will offer high standard of healthcare with a major reduction in cost for our society. By using this system doctors are easily communicate with high experience and forensic people.

 

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Abstract: An underwater remotely controlled vehicle is termed as an underwater rover as it is remotely controlled from the top of the host ship above the water surface. Now the working principle of an underwater rover is not similar to a remotely controlled car or drone. So, a steel cable is of great necessity for a proper connection between the user at the host ship and the underwater rover as this is a remotely controlled rover. There lies a great variety of its application, it can be used for getting the live video or still pictures of the underwater life and all the underwater activities to learn about the underwater life. It makes the job for divers, rescuers and gem collectors easier as the rover gives the pictures, live video and all the other relevant details necessary for having a proper knowledge about the underwater elements. The underwater rover engine can be built using many types but here we are going to discuss about Raspberry Pi controlled engine underwater rover; i.e; an ROV underwater rover using Raspberry Pi.

 

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Abstract: Software-defined networking (SDN) is rapidly transforming the networking ecosystem of cloud computing datacenters. However, replicating SDN enabled cloud infrastructures to conduct practical research in this domain requires a great deal of effort and capital expenditure. This article presents the CLOUDS-Pi platform, a small-scale cloud datacenter for doing research on software defined clouds. As part of it, Open v Switch is integrated with Raspberry-Pis, low-costembedded computers, to build up a network of OpenFlow switches. The article providestwo use cases and reports on validation and performance evaluation. It also discussesthe benefits and limitations of CLOUDS-Pi in particular and SDN in general.

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Abstract: In this paper, a Lorenz-like chaotic system was developed to encrypt the dorsal hand patterns on a microcomputer. First, the dorsal hand vein images were taken from the subjects via an infrared camera. These were subjected to two different processes called contrast enhancement and segmentation of vein regions. Second, the pre- and post-processed images were encrypted with a new encryption algorithm in the microcomputer environment. For the encryption process, random numbers were generated by the chaotic system. These random numbers were subjected to NIST-800-22 test which is the most widely accepted statistical test suite. The speeded up robust feature (SURF) matching algorithm was utilized in the initial condition sensitivity analysis of the encrypted images. The results of the analysis have shown that the proposed encryption algorithm can be used in identification and verification systems. The encrypted images were analyzed with histogram, correlation, entropy, pixel change rate (NPCR), initial condition sensitivity, data loss, and noise attacks which are frequently used for security analyses in the literature. In addition, the images were analyzed after noise attacks by means of peak signal-to-noise ratio (PSNR), mean square error (MSE), and the structural similarity index (SSIM) tests. It has been shown that the dorsal hand vein images can be used in identification systems safely with the help of the proposed method on microcomputers.

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Abstract: Technology is growing at an unexpectedly fast pace with the unveiling of the family friendly robots that play the role of a personal assistant at home. Man has already started interacting with computers and smartphones. It is anticipated that social robots shall replace these computers and smartphones in the near future. This work is delving into the design of one such social robot, which supports the above proposition. This paper discusses of an interactive personal assistant robot that is developed using the Raspberry Pi computing engine.

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Project CODE
TITLES
BASEPAPER
SYNOPSIS
LINKS
1.  IEEE :WiFi Enabled Home Security Surveillance System using Raspberry Pi and IoT Module Title Title Title
2.  IEEE :The Security of RFID Readers with IDS/IPS Solution Using Raspberry Pi Title Title Title
3.  IEEE :TEXT RECOGNITION AND FACE DETECTION AID FOR VISUALLY IMPAIRED PERSON USING RASPBERRY PI Title Title Title
4.  IEEE :TEACHING IMAGE AND VIDEO PROCESSING USING MIDDLE-SCHOOL MATHEMATICS AND THE RASPBERRY PI Title Title Title
5.  IEEE :Survey of Prototyping Solutions Utilizing Raspberry Pi Title Title Title
6.  IEEE :Spectrum Alerting System Based on Software Defined Radio and Raspberry Pi Title Title Title
7.  IEEE :Smart Home Garden Irrigation System Using Raspberry Pi Title Title Title
8.  IEEE:Smart Fridge Design using NodeMCU and Home Server based on Raspberry Pi 3 Title Title Title
9.  IEEE:Small Scale Mobile Energy Management System using Raspberry Pi and Python Title Title Title
10.  IEEE:Remote Monitoring System Development via Raspberry- Pi for Small Scale Standalone PV Plant Title Title Title
11.  IEEE:Real Time Emotion Detection From Speech Using Raspberry Pi 3 Title Title Title
12.  IEEE:Raspberry Pi based Real Time Tracking System Title Title Title
13.  IEEE:Raspberry Pi Driven Flow-Injection System for Electrochemical Continuous Monitoring Platforms Title Title Title
14.  IEEE:Raspberry Pi Based Vehicle Collision Avoidance System Title Title Title
15.  IEEE:Raspberry Pi based Single object tracking using Bayesian filter example Title Title Title
16.  IEEE:Raspberry PI Based Integrated Autonomous Vehicle Using LabVIEW Title Title Title
17.  IEEE:Raspberry Pi based Biometric Authentication Vehicle Door Locking System Title Title Title
18.  IEEE:Raspberry Pi based Smart Fire Management System employing Sensor based Automatic Water Sprinkler Title Title Title
19.  IEEE:Raspberry Pi and Computers-Based Face Detection and Recognition System Title Title Title
20.  IEEE:Health Monitoring System using Raspberry PI Title Title Title

DHS Informatics believes in students’ satisfaction, we first brief the students about the technologies and type of best IEEE IOT Raspberry Pi Projects and other domain projects. After complete concept explanation of the best IEEE IoT projects, students are allowed to choose more than one IEEE IOT Raspberry Pi Projects for functionality details. Even students can pick one project topic from IoT and another two from other domains like data mining, image process, information forensic, big data, android, data science, block chain etc.

We are the pioneer institute in Bangalore / Bengaluru; we are supporting project works for other institute all over India. We are the leading final year project centre in Bangalore / Bengaluru and having office in five different main locations Jayanagar, Yelahanka, Vijayanagar, RT Nagar & Indiranagar.

We allow the ECE, CSE, ISE, EEE, Mechanical final year students to use the lab and assist them in project development work; even we encourage students to get their own idea to develop their final year projects for their college submission.

In our process, we first train students on project related topics then students are entering into practical sessions. We have well equipped lab set-up, experienced faculties those who are working in our client projects and friendly student coordinator to assist the students in their college project works.

We appreciated by students for our latest and best IEEE IOT Raspberry Pi Projects & concepts on final year IEEE IOT Raspberry Pi Projects for ECE, EEE, CSE, ISE and Mechanical departments.

All our 2019-2020 BEST IEEE IOT Raspberry Pi Projects are implemented with real time concepts which are implemented using combination of following technologies Raspberry Pi, Embedded\ microcontroller kits, Android, Java, MATLAB, and NS2 with innovative ideas.

IEEE IOT Raspberry Pi Projects

The Raspberry Pi is a series of small single-board computers developed in the United Kingdom by the Raspberry Pi Foundation to promote the teaching of basic computer science in schools and in developing countries. The original model became far more popular than anticipated,selling outside its target market for uses such as robotics. It does not include peripherals (such as keyboards and mice) and cases. However, some accessories have been included in several official and unofficial bundles.

IEEE IOT Raspberry Pi Projects

The organisation behind the Raspberry Pi consists of two arms. The first two models were developed by the Raspberry Pi Foundation. After the Pi Model B was released, the Foundation set up Raspberry Pi Trading, with Eben Upton as CEO, to develop the third model, the B+. Raspberry Pi Trading is responsible for developing the technology while the Foundation is an educational charity to promote the teaching of basic computer science in schools and in developing countries.