On this page, there are 12 categories of Raspberry Pi projects which have Abstracts, IEEE Papers, Purchase links, and Demo videos given below of each project. This Raspberry Pi project list includes a variety of methods and technologies such as Robotic Operating System, Deep learning, Chatbots, Robotics, Electrical, Motor control, Machine Learning, Brain-Computer Interface., Computer vision, Tensorflow, Automotive, etc.
Voice Assistance for Visually Impaired People
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Abstract | IEEE Paper| BUY NOW
4 in One Voice Assistance device. a. Currency Recognition – This will be helpful for Blind people while doing Purchase. b. Object Recognition – This will be helpful to know the object or vehicle present in front of them. c. Voice assistance – This will be helpful for asking about the weather, General knowledge, Jokes, etc. d. YouTube support – This will be helpful to listen to music and any other educational audio from YouTube Video.
ROS based Autonomous Mobile Robot Navigation using 2D LIDAR using Raspberry Pi
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Abstract | IEEE Paper| PPT | BUY NOW
This is one of the Low-cost ROS bot, which has a simple structure that uses ROS (Robotic Operating System) software library of version ROS Kinetic booted with Raspberry Pi and also interfaced with RPLidar in the front top portion of the Bot. This low-cost turtle bot emerges with features like SLAM (Simultaneous Localization and Mapping), Path planning and Path Following. which has the capability to reach the destination automatically after its destination is fixed in the Map. For those applications, we are using Matlab’s Robotic Operating System Software package to communicate with ROS in the Raspberry Pi using ROS Network Configurations. It is similar for other ROS projects using Matlab with Raspberry Pi
Vision Module for Visually Impaired People using Raspberry Pi
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Abstract | IEEE Paper| PPT | BUY NOW
This will teach you to develop an application on deep learning, in hardware Raspberry Pi to recognize the object by using a pre-trained model MobileNet in real-time without any hardware acceleration.
Low-Cost IoT Surveillance System Using Neural Compute Stick 2
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Abstract | IEEE Paper | BUY NOW
In this experiment you will learn to use OpenVino, a toolkit helps to interface Intel Movidius Neural compute stick 2 with the Raspberry Pi to detect the multiple face with the high frame rate.
SLAM Robot using ROS & LIDAR with Raspberry pi
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Abstract | IEEE Paper |PPT | BUY NOW
This low-cost mapping bot emerges with features like SLAM (Simultaneous Localization and Mapping). which has the capability to form the Map of the environment using Lidar scans using Matlab’s Robotic Operating System Software package to communicate with ROS in the Raspberry Pi using ROS Network Configurations.
Real-time object recognition using Raspberry Pi with Neural Compute Stick 2
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Abstract | IEEE Paper | BUY NOW
Real-time object recognition is the most popular application, It is tested and every hardware including Jetson, Coral, etc. Which differs on every hardware based on the Frame rate. Since it requires more computational power to classify every object from the video frame. This project works on Raspberry pi, but performance is accelerated using Intel Neural Compute Stick 2 with the help of OpenVino to run the deep learning application in Raspberry Pi with a high frame rate.
Obstacle avoidance ROS Robot using Raspberry Pi
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Abstract | IEEE Paper |PPT | BUY NOW
In this proposed system, by using 360-degree lidar is used to map the environment with an obstacle. And by using the path planning algorithm robot chooses its own path to reach some destination point by avoiding the obstacle.
Raspberry Pi based voice assistance using Android app
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Abstract | IEEE Paper | BUY NOW
Features: Take Notes, Talking Tom, Email, Selfie on saying Cheese, Date and Time and Weather report. A virtual assistant is a well-known application, which includes all functionalities like cloud, IoT and some assisting actions. This project helps you to begin with virtual assistance using android mobile which is interfaced with the Raspberry Pi. Android mobile is used only for the mic interface so that you can give the voice commands through the Android mobile to the raspberry pi via Bluetooth.
A brain-controlled robotic car using Raspberry Pi with Mindwave Mobile / BrainSense
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Abstract | IEEE Paper | BUY NOW
This project allows you to control the Robotic car using your brain with the help of EEG Measuring device such as Mindwave Mobile, Mindwave Mobile 2 or BrainSense is interfaced with Raspberry Pi. This project works based on Eyeblinks.
Google assistance based chatbot using Raspberry Pi with Respeaker – DialogFlow
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Abstract | IEEE Paper | BUY NOW
This project allows you to work with IoT based google assistance using Raspberry Pi with the help of Respeaker 4 mic array, used to give voice commands from the distance. The system will be turned to a Mini Alexa & Echo
Brain-controlled Virtual Keyboard using Raspberry Pi with Mindwave mobile / Brainsense
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Abstract | IEEE Paper | BUY NOW
In this project, you will learn to work with EEG Device (Mindwave Mobile / Brainsense) with Raspberry pi to type the letters present in the virtual keyboard. This application is mainly for paralyzed people since they cannot move physically they can type the letters using a virtual keyboard.
Smart Irrigation System using Raspberry Pi
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Abstract | IEEE Paper | BUY NOW
In this project, you will learn to work with Raspberry pi to perform IoT based applications such as MQTT protocol to transmit data at low internet speed since MQTT is a lightweight protocol. Cloud application like Weather cloud to obtain data from weather clouds. At the same time intimation is sent through SMTP protocol, with message alert by capturing image of the field and attached to the mail.
Smart Traffic light management system based on vehicle density using Raspberry Pi
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Abstract | IEEE Paper | BUY NOW
This system is the autonomous Traffic signal system which changes the signal automatically based on the vehicle density using Computer vision on Raspberry Pi. It is intimated in the webserver of the electricity department when the power theft occurred, found by adding additional load consumes more power.
Smart Energy meter for power theft detection using Raspberry Pi
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Abstract | IEEE Paper | BUY NOW
In this system, Voltage and current transformer are designed and interfaced with the Raspberry pi, the system contains 2 Loads. It measures the current, Voltage & Power has been calculated. If someone turns the 2nd load that resembles the power theft, so that power obviously increases, if so it automatically shutdowns the complete supply and intimates the Electricity department that power theft has been occurred and also it posts in the electricity web server.
Drowsiness detection and alert system using Raspberry Pi
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Abstract | IEEE Paper | BUY NOW
In this project, Computer vision is used to do image processing with 68 Landmark predictor to detect and measures the distance enclosure of the eyes to detect the drowsiness by using USB Camera interfaced with the Raspberry Pi
Tesseract-OCR based Label reading using Raspberry Pi
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Abstract | IEEE Paper | BUY NOW
In this project, the Tesseract-OCR library is used to recognize the text present in the image. Here Mobile phone camera is used for capturing the image using the IPWebCam android app. Alternatively, the mobile camera can also be used to capture an image by using Raspberry Pi.
IoT Based Intelligent Traffic Management System using Raspberry Pi
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Abstract | IEEE Paper | BUY NOW
In this project, Traffic management and alerting system are done through IoT and computer vision, computer vision detects the vehicle which crosses the signal when it is red and by using USB Camera, the video has been captured and sent to the Traffic inspection department through SMTP protocol.
Environment monitoring system using LORA
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Abstract | IEEE Paper | BUY NOW
In this project, It contains 2 module that one is slave which is NodeMCU emerged with the number of environmental sensors and transmits the data through LORA, a long-range communication which can transmit up to 2 KM. In the Master side, Raspberry pi zero is used by having another LORA interfaced with it.
Water management system using Raspberry Pi
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Abstract | IEEE Paper | BUY NOW
In this project, system uses Raspberry Pi as the core for real-time water management system for Irrigation field, It works based on IoT, which obtains the data from the weather cloud to know the current weather of the current area, and opens the valve based on the weather and based on the moisture and level present in the irrigation field at morning and evening of every day.
Brain parameter data logger in Google sheet using Raspberry Pi with Mindwave mobile / Brainsesne
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Abstract | IEEE Paper | BUY NOW
In this project Brain parameters such as Attention, Meditation and 5 Bands of EEG such as Alpha, Beta, Gamma, Delta & Theta is measured from your brain and gets stored in the data logs of the Google sheets with the help of Raspberry and EEG measuring devices such as Brainsense or Mindwave Mobile
Real-time power management using Raspberry Pi
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Abstract | IEEE Paper | BUY NOW
This algorithm is based on time periods, which automates the power system on the basis of peak time and normal time. Which differs between heavy loads such as Air conditioner and low load such as Bulbs.
Real-time license plate Recognition using Raspberry Pi with OpenCV
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Abstract| IEEE Paper | BUY NOW
In this project, Raspberry Pi with a camera uses computer vision to perform image-based applications to recognize the License plate in real-time.
Path Following Robotic Car using ROS, Lidar with Raspberry pi
In this project, Raspberry Pi is used which the RPlidar is the interface. The operating system used is ROS booted in a 16GB SD card. This system also contains Arduino UNO to control the robotic car which has Bluetooth module interfaced with it. Simultaneous localization and mapping is done in Matlab by receiving Laser scan data from the ROS. Path planning is done by choosing the destination point in the map obtained in the Matlab. Based on the coordinates Matlab sends the command to Arduino via Bluetooth to control the car.
Categories of Raspberry Pi projects
- Raspberry Pi projects for Beginners with codes
- IoT Based Raspberry Pi projects
- OpenCV based Raspberry Pi projects
- Robotics projects using Raspberry Pi
- Electrical Projects using Raspberry Pi for EEE
- Brain-Computer Interface (BCI) projects using Raspberry Pi
- Deep learning projects using Raspberry Pi
- Machine Learning projects using Raspberry Pi
- Intel Movidius Neural compute stick projects with Raspberry Pi
- Natural Language Processing (NLP) with Raspberry Pi
- Chatbot in Raspberry Pi
- ROS with Raspberry Pi
- Raspberry Pi with Lidar
- Raspberry Pi with Matlab Hardware projects
- Artificial Intelligence using Raspberry Pi
Please check me the possibilities for AR with raspberry pi
thank you for this article.
Best collection of Raspberry pi projects and the way presented here is very nice and easy to understand..
Excellent collection of projects.most importantly the abstract and the reference helps to do the final projects on raspberry pi.
Good Collection of the projects and the videos are excellent..Best raspberry pi collections…
keep posting more concepts.
The collection is awesome ,ieee based raspberry projects are good.
i am working on car internal security system using raspberry pi,and i have some problems,relays are connected to GPIOs of raspberry pi and some time it work and other time is not working,as there any one which can help me out of this problem
Try Reinstall Wiring pi library and do Restart, can i have any screen shot of your code?
Thank you very much and I appreciate your efforts
Thank you for your comments.
you could also visit
https://www.www.pantechsolutions.net/raspberry-pi-projects
This was the best collection of raspberry pi projects for students.it has a very good collection of raspberry pi projects for various categories which could help different stream from engineering collges.it has collction for cse,ece and eee students.
Thank u rajan
Wow, categories are awesome. I got lot of ideas through ur blog. Thanksalot. waiting for ur update in deeplearning!
thank u