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).

store the marked failed episodes, as i believe it can be used for neg… …ative cfg (from some paper named "learn from your failures", cite later) ...

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

IISc physicists discovered that Ramanujan’s classic π-formulas arise naturally in modern theories describing critical phenomena and black holes. The connection suggests his early mathematics may have ...