Learn how to set up the Raspberry Pi AI Kit with the new Raspberry Pi 5. The kit allows you to explore machine learning and AI concepts using Python and TensorFlow.
Learn how to perform image classification on edge devices like the Raspberry Pi using TensorFlow Lite and Mobilenet V2 models.
A DIY project that uses a Raspberry Pi and computer vision to detect and notify about stray cat sightings, with an added feature to deter birds from approaching the cat food.
Track aircraft flying above you using a Raspberry Pi, RTL-SDR, and an LED matrix.
Detailed instructions and assembly guide for building the PiDP-10, a PDP-10 emulator built using a Raspberry Pi.
This article guides readers through running the latest YOLO v10 object detection model on different hardware, specifically on a Raspberry Pi 5, and a computer. The article discusses the importance of computer vision in ML applications, the versatility of YOLO, and the cross-platform code presented in the article.
The PiDP-10 is a modern reproduction of the PDP-10, powered by a Raspberry Pi and featuring a front panel with tons of LEDs and switches. It's designed for those who want to experience the computing power of the 1960s, but with a modern twist.
SQFMI Watchy, a hackable ePaper watch based on the ESP32.
Transferscope is a prototype device that blends human creativity with AI, allowing users to capture objects or concepts and seamlessly blend them onto any scene, creating new realities. The handheld device runs on a Raspberry Pi Zero 2, uses an edge detection algorithm for image processing, and a server for interpretation and output generation. Transferscope aims to encourage rethinking of everyday environments and objects and showcases the shift from genuine photography to synthetic image creation.
The article discusses why Raspberry Pi is ideal for AI projects due to its powerful official AI kit, portable form factor, and active open-source community. It highlights the Raspberry Pi's processing power, the creativity it allows, and the potential for tinkerers to experiment with various AI models.
