A new airborne imaging approach can reliably detect unexploded weapons that lie in shallow coastal waters and remain an ...

These projects turn a Raspberry Pi into a practical home automation tool ...

Today's antipersonnel land mines are small and often have plastic casings that standard metal detectors cannot register.

It is a common sight at public parks, schools and housing complexes: waste scattered on the grass just a few feet away from ...

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

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 ...

What if a device could see the world the same way humans do, seeing objects, recognizing them, and understanding what they are in real time? Just like our eyes capture visuals and our brain instantly ...

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 ...

Abstract: Real-time object detection in images is one of the most important areas in computer vision and finds applications in several fields, such as security systems, protection, independent ...

We talk about all kinds of autonomous vehicles here at Hackaday, from aerial drones to rugged rovers. A little less common are the submarine builds, likely due to their technical complexity. That said ...

Raspberry Pi has released an AI Kit which is designed to work with the Raspberry Pi 5. Previous models of these tiny computers would have struggled to keep up with the processing power necessary for ...

Build practical Edge AI applications with Raspberry Pi, from basic concepts to object detection and robotics, using the AI HAT+ and Camera Module 3. Edge AI is bringing data processing directly onto ...