About this document
Real-Time Vehicle Detection System by berhanuabel607 is a document available to read on EtoBox.
The document outlines a project focused on developing a Real-Time Vehicle and Pedestrian Detection System aimed at enhancing driving safety by automating hazard detection and proximity assessment. Utilizing the YOLOv9 model for object detection, the system processes live video feeds to identify vehicles and pedestrians, generating alerts when necessary. The project emphasizes the integration of various technologies, including Flask for backend processing and OpenCV for computer vision, while documenting the
- Author
- berhanuabel607
- Language
- EN