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 ...

Step 1: First, you need to make an account on the CircuitDigest Cloud. If you already have one, just go to the CircuitDigest ...

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

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 ...

Sixfab has launched the AI HAT+ for Raspberry Pi 5, a PCIe HAT+ based on the DEEPX DX-M1 AI accelerator, which we also found in the DEEPX DX-AIPlayer, Mini DX-M1 SoM, and ALPON X5. Unlike the M.2 ...

Raspberry Pi offers lots of different add-ons and HATs (Hardware Attached on Top) for their $50 computer, including a desktop kit, a Build HAT for connecting to Lego ...

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 ...

In this project, we build a real-time object-tracking camera using Raspberry Pi and MediaPipe. The camera detects a selected object, calculates its position in the video frame, and automatically moves ...

So you bought a Raspberry Pi. Then you used the former children’s project board to create a home server, or perhaps a functional robot. What’s next? Adding artificial intelligence, obviously. The ...