This project implements multi-object detection and tracking for counting people and vehicles crossing designated zones. It leverages YOLOv5 for detecting six classes (pedestrians, bicycles, cars, motorcycles, buses, trucks) and DeepSORT for tracking detected objects across video frames. The system counts entries and exits separately by monitoring polygon regions and displays detection categories in real time.