TonyPi AI humanoid robot brings Raspberry Pi 5 vision, voice control, and multimodal model integration to an 18-DOF education ...

Hardware-accelerated object detection for Raspberry Pi 5 using the AI HAT+ with Hailo-8 NPU. This project provides an inference pipeline for YOLOv11 (and related models) on video streams (MP4 and RTSP ...

Cutting corners: Raspberry Pi has introduced a new variant of its popular Raspberry Pi 5 single-board computer with 1GB of memory. The board comes at a premium price of $45, and you can blame the ...

The Raspberry Pi 500 (and 400) systems are versions of the Raspberry Pi built for people who use the Raspberry Pi as a general-purpose computer rather than a hobbyist appliance. Now the company is ...

The Starter Kit GenX320 is a power-efficient, event-based camera designed for the Raspberry Pi 5 that detects events with a latency of less than 150 μs, or the equivalent of about 10,000 FPS. The ...

Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...

The UNC2891 hacking group, also known as LightBasin, used a 4G-equipped Raspberry Pi hidden in a bank's network to bypass security defenses in a newly discovered attack. The single-board computer was ...

The system is optimized for Raspberry Pi and balances performance with accuracy by using adaptive processing rates based on detection state. zvision/ ├── config.yaml # Configuration file ├── main.py # ...

There's plenty of things to know before buying your first Raspberry Pi, between what model to buy and the equipment you need to actually run it. A Raspberry Pi can do some amazing things, and it's ...

Microsoft’s latest Phi4 LLM has 14 billion parameters that require about 11 GB of storage. Can you run it on a Raspberry Pi? Get serious. However, the Phi4-mini ...

In recent years, underwater object detection (UOD) has become a prominent research area in the computer vision community. However, existing UOD approaches are still vulnerable to underwater ...