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).

This project implements a complete Edge Machine Learning + MLOps workflow for a Smart Farming system that runs fully offline. It includes: ...

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

Though it began just this year, the Pi Network already has more than 500,000 users, and it aims to be accessible to everyone with a smartphone. Nicolas Kokkalis Ph.D. ’13, Chengdiao Fan Ph.D. ’14, ...