VEHICLE DETECTION, TRACKING, AND COUNTING SYSTEM BASED ON YOLOV4

Abstract

For today's 4.0 technology, people are always trying to develop technology in a self-operated way, especially in areas such as monitoring and management. Monitoring and management of traditional vehicles are one of the top concernstoday. Therefore, the thesis topic: "Vehicle detection, tracking and counting system based on YOLOv4" wishes to design a system that can solve a part of the above problem. Website is built by PHP language based on Visual Studio Code and Laravel Framework tools combined with MySQL database management system and Apache server, on the client-side using technologies such as HTML, CSS, JavaScript, Bootstrap ... to build the user interface. In addition, the system also uses the YOLO model to identify the type of vehicle and libraries such as OpenCV, matplotlib, NumPy,... support for drawing and displaying images.