This Frigate server monitors my home and, unlike cloud-based alternatives, protects my privacy ...

The privacy trade-off is worth every penny ...

Abstract: Most computer vision applications that use deep learning on constrained device come from the Internet of Things (IoT) or robotics fields, where low-quality cameras are used to capture input ...

Real-time monocular metric depth estimation + object detection with LLM scene analysis — a Raspberry Pi captures the scene, a MacBook (Apple Silicon) runs the heavy vision models, and a live web ...

What does this project do? A USB camera connected to a Raspberry Pi continuously captures frames. OpenCV encodes each frame as a JPEG and sends it to the CircuitDigest Cloud Face Detection API via ...

What happens when you give Claude a real robot body and let it control everything. This article highlights Saras 2.0, an AI ...

Ford rehired veteran engineers after AI quality systems fell short, showing why expert oversight still matters in high-stakes automation. If you can only read one tech story a day, this is it. We use ...

France’s OVHcloud bets on frontier AI as Europe seeks alternatives to US models The company says the cost of training frontier AI models has fallen sharply, but analysts say the bigger challenge may ...

Raspberry Pi Object Tracking Camera using MediaPipe In this project, we build a real-time object-tracking camera using Raspberry Pi and MediaPipe. The camera detects a selected object, calculates its ...

Delhi teen Mahi Malhani built TRASHbot, an AI robot that collects and sorts waste with accuracy, making cleanliness easy, ...

Central Repository of Model Asset Exchange project. This repository contains information about the available models, current project status, contribution guidelines and supporting assets. - CODAIT/max ...