Abstract: Object detection is essential for safe autonomous driving systems. While cameras are the most commonly used modality, their performance degrades significantly under low-light or scattering ...
Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...
Abstract: Real-time monitoring for evaluating manual assembly work is essential for improving operator efficiency and product quality. Recent applications detect and prevent operator errors with ...
Uses SSD MobileNet v3 for real-time object detection. Displays detected objects with confidence scores. Uses OpenCV to process video frames from the webcam. Starts the webcam and captures video. Runs ...
2018/9/18 - update all of recent papers and make some diagram about history of object detection using deep learning. 2018/9/26 - update codes of papers. (official and unofficial) 2018/october - update ...