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This repository provides Computer Vision-based Vehicle Counting, an intelligent system created using Python-based computer vision techniques. The project leverages YOLOv8 for accurate vehicle detection and Sort for tracking. By integrating deep learning principles, the system can identify and count vehicles within a specified environment. Developme
Vehicle counting and tracking at intersection modules and ReID pipeline with object detection - > image cropping -> object in cropped image re-identification in another image
🚗 DinjanAI's Vehicle In/Out Detection & Count Project utilizes AI, ML, and DL to accurately track and count vehicles entering and exiting designated areas in real-time. Ideal for parking lots, intersections, and toll booths, it offers seamless integration and customizable configurations. 🛣️👀
This repository contains the code for an IoT Traffic Surveillance System using a fog-computing architecture. The system uses an adaptive video encoding algorithm that switches the video encoding at specific intervals to reduce the required network bandwidth.
A computer vision and artificial intelligence project to detect and counting vehicles. This project is using YOLOV5 and Deep Sort Algorithm to perform object recognition and tracking realtime.