This chapter covers the process of transferring trained PyTorch models from a desktop environment to a Jetson Nano for deployment. It addresses the challenges and nuances involved during pre and ...

Abstract: This work presents a real-time driver drowsiness detection system deployed on a Raspberry Pi 5 using the YOLOv8 object detection model. The original PyTorch model was converted to the ...

Spiking neural networks (SNNs) and acoustic analysis are used in this real-time welding fault detection system. Implemented for Raspberry Pi using Python (PyTorch/SpikingJelly).

We are all familiar enough by now with the succession of boards that have come from Raspberry Pi in Cambridge over the years, ...

While the FPC connector on the Raspberry Pi 5 makes it possible to add hardware like PCIe NVMe adapters, a whole bunch of USB ...

Before the Raspberry Pi came out, one cheap and easy way to get GPIO on a computer with a real operating system was to ...

In winter, it’s important to ventilate living and working spaces regularly. Here’s how to make a homemade measuring station ...

Build a fast, private offline chatbot on Raspberry Pi 5 with the RLM AA50, 24 TOPS, and 8GB DDR4 to get instant voice replies ...

It's been living on GitHub for convenience. That's when I came across Gitea. This GitHub alternative offers the same feature ...

S, a low-power SoM, which is based on the Rockchip RV1126B (commercial) or RV1126BJ (industrial) SoC. Designed ...

Real‑time facial expression follower robot using YOLOv8‑face for detection and EfficientNet‑B0 for emotion classification, deployed on Raspberry Pi 5. The robot detects faces, classifies emotions, and ...