The document proposes a vehicle detection and tracking system using YOLO and DeepSort algorithms. It first discusses challenges in vehicle detection from video frames and reviews existing methods. The proposed system uses YOLO to detect vehicles in frames and DeepSort to track detected vehicles across frames. The system was tested on a dataset with results showing it can detect vehicles in complex traffic environments with potential for cloud-based processing. Future applications discussed include real-time traffic monitoring and intelligent parking management.