PPE DETECTION USING YOLOV3 AND DEEPSORT(HELMET)

The aim of the project is to utilize existing CCTV camera infrastructure to assist supervisors to monitor workers effectively by providing them with real time alerts. PPE Detection using YOLO and DeepSORT. YOLO (You Only Look Once) is a popular object detection algorithm that can detect and classify objects in an image or video stream in real time. DeepSORT (Deep Learning-based SORT) is a tracking algorithm that can track multiple objects over time in a video stream. By combining YOLO and DeepSORT, you can not only detect PPE in real time but also track the workers wearing the PPE. Implementing DeepSORT to track the workers wearing PPE and Integrating the YOLO and DeepSORT models with your existing CCTV camera infrastructure. By analyzing this YOLO and DeepSORT has the potential to significantly improve workplace safety by providing real-time alerts to supervisors when workers are not wearing PPE(helmet, goggle) .The result of this project is detecting the persons with proper PPE and without PPE.