Technical Articles
2025-01-10

Exciting Raspberry Pi AI Kit Projects to Inspire Your Next Innovation

With the powerful AI accelerator module, the Raspberry Pi camera module and AI kit bring exciting possibilities for computer vision and machine learning. The versatility of the Raspberry Pi platform combined with its AI capabilities opens up a whole new world of possibilities for innovative smart projects. From creative experiments to practical applications like smart dispensing machines, makers are leveraging the potential of this kit to advance AI. In this feature, we will explore some outstanding projects that we hope will inspire you to start your own.

Peeper Pam Boss Detector
Provided by VEEB Projects
https://www.veeb.ch/projects/computer-vision-with-peeper-pam
AI computer vision can identify objects in real-time camera views. In this project, VEEB’s Martin Spendiff and Vanessa Bradley use it to detect people in the frame, so you can know if your boss is sneaking up behind you while sitting at your desk!
The project consists of two parts. The Raspberry Pi 5, equipped with a camera module and AI kit, not only performs image recognition but also acts as a web server. It wirelessly sends information to the ‘detector’ part using web sockets; the ‘detector’ part is a Raspberry Pi Pico W and a voltmeter, where the movement of the voltmeter needle indicates the AI’s confidence level in identifying the ID.
After getting the AI kit (“a great entry tool for computer vision”), the two created Peeper Pam in just three days. Martin says the biggest challenge was that they didn’t use a socket — which is much more efficient than having the Pico constantly asking the Raspberry Pi, “What do you see?” Martin says: “The Raspberry Pi does all the heavy lifting while the Pico just listens for a signal that says, ‘I saw something.'”
He points out that you can have the Raspberry Pi 5 perform both functions simultaneously, but having the two parts set up means you can place the camera in different positions to monitor areas you can’t see. Additionally, by adapting the code from the project GitHub repo, if you can get the AI to deter other objects, it can have many other applications. Martin says: “One thing we want to do is identify the pigeons on the windowsill.”
Monster AI Pi PC
By: Jeff Geerling
https://www.youtube.com/watch?v=oFNKfMCGiqE
Jeff Geerling doesn’t do things halfway; he built a monster-level AI Pi PC with eight neural processors using the Raspberry Pi AI Kit. In fact, the speed of 55 TOPS (trillions of operations per second) is faster than the latest AMD, Qualcomm, and Apple silicon processors!
The NPU chip (including the Hailo-8L from the AI Kit) connects to a large 12× PCIe slot card, which has a PEX 8619 switch that handles 16 PCI Express Gen 2 channels. The card is then installed on the Raspberry Pi 5 via the Pineboards uPCIty Lite HAT, which has an additional 12V PSU to provide the extra power needed for all these processors.
Jeff made some modifications to the firmware and drivers on the Raspberry Pi, finally getting it to work.
Car Detection and Tracking System
Provided by Naveen
https://www.hackster.io/naveenbskumar/car-detection-and-tracking-system-with-rpi-hailo-ai-kit-16ef44
As a proof of concept, Japanese manufacturer Naveen aims to implement an automated system for identifying and monitoring vehicles at toll booths to accurately count the number of vehicles entering and exiting.
With the extra processing power provided by the Raspberry Pi AI Kit, the project uses Edge Impulse computer vision technology to detect and count cars from the field of view of a wide-angle camera module. He says: “We chose a wide-angle lens because it captures a larger area,” “allowing the camera to monitor multiple lanes at once.” He also needed to train and test a YOLOv5 machine learning model. All details can be found on the project page linked above, which may be helpful for learning how to train a custom ML model for your own AI projects.
Safety Helmet Detection System
By: Shakhizat Nurgaliyev
https://www.hackster.io/shahizat/safety-helmet-detection-system-using-raspberry-pi-ai-kit-9bcd30
Wearing a safety helmet on construction sites is crucial; it can save your life. This computer vision project uses the Raspberry Pi AI Kit and an advanced YOLOv8 machine learning model to quickly and accurately identify objects in the camera view at an astonishing inference speed of 30fps.
The guide on the project page explains how to leverage the Raspberry Pi AI Kit for efficient AI inference to detect safety helmets. It includes detailed information on software installation and the model training process, for which the creator provides a link to a dataset containing 5000 images with bounding box annotations for helmets, persons, and heads.
Accelerating MediaPipe Models
By: Mario Bergeron
https://www.hackster.io/AlbertaBeef/accelerating-the-mediapipe-models-on-raspberry-pi-5-ai-kit-1698fe
Google’s MediaPipe is an open-source framework for building machine learning pipelines, particularly suitable for processing video and images.
After using MediaPipe on other platforms, Mario Bergeron decided to experiment with it on the Raspberry Pi AI Kit. On the project page (link above), he details the process, including using his Python demo application and providing options for detecting hands/palms, faces, or poses.
Mario’s test results show that the performance of the AI Kit’s Hailo-8L AI accelerator module is significantly better than running the reference TensorFlow Lite model alone on the Raspberry Pi 5: up to 5.8 times faster. When running three models for hand and landmark detection, the frame rate for detecting one hand was 26-28fps, while for two hands, it was 22-25fps.
The Raspberry Pi AI Kit can be purchased directly from Raspberry Pi distributors. Here’s how to order:
1. Inquire and order on the official website of Raspberry Pi distributors:
https://www.edatec.cn/cn
2. Send us a private message with your contact details to order directly.
3. Scan the QR code to add Engineer Yang for inquiries and purchases.

Exciting Raspberry Pi AI Kit Projects to Inspire Your Next Innovation

Exciting Raspberry Pi AI Kit Projects to Inspire Your Next Innovation
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Exciting Raspberry Pi AI Kit Projects to Inspire Your Next Innovation

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