YOLOv8 Object Tracking and Counting using PyTorch, OpenCV and DeepSORT, deployed on Streamlit.

Tracking and counting persons

No description available

An AI-powered toll collection and vehicle counting system using YOLOv8 and DeepSort. It detects and tracks vehicles, identifies toll-line crossings, calculates fees by type, overlays real-time stats, and saves an annotated output video. Ideal for smart toll booths and intelligent traffic systems

Real-time multi-object detection, tracking, and counting using YOLOv8 and DeepSORT

Vehicles Detection, Tracking and Counting using YOLOv8 and DeepSort

Real-time object tracking and counting system using YOLOv8 for detection and DeepSORT for online tracking.

A high-performance computer vision system for detecting, tracking, and counting objects in video streams using YOLOv8 and DeepSORT algorithms.

FastAPI microservice for people tracking and counting using YOLOv8 + DeepSort. Supports video uploads and live cameras with real-time tracking, unique ID assignment, and accurate people counts.

The YOLOv8 model is used for real-time object detection in car image detection, identifying cars on images and videos. It includes preprocessing, object detection, object tracking with DeepSORT, and vehicle counting. This technology could increase traffic efficiency and improve safety measures.

An AI-powered toll collection and vehicle counting system using YOLOv8 and DeepSort. It detects and tracks vehicles, identifies toll-line crossings, calculates fees by type, overlays real-time stats, and saves an annotated output video. Ideal for smart toll booths and intelligent traffic systems.

This project is a real-time vehicle detection and tracking system using hybrid object detectors (YOLOv8 and Faster R-CNN) and DeepSORT for multi-object tracking. It processes video input, overlays bounding boxes and IDs, and logs vehicle count statistics. Designed for research and practical use in traffic analysis and smart surveillance.

🚦 AI-powered Smart Traffic Analytics using YOLOv8 + DeepSORT. Detects, tracks, and counts vehicles & people, estimates speed, classifies traffic density, and exports insights to CSV. A computer vision solution for smart cities, road safety, and traffic management.

An AI-powered footfall counter that uses YOLOv8 for object detection and DeepSORT for real-time tracking. It counts entries and exits of people across a defined line in video footage - perfect for analytics in malls, offices, and public spaces.

No description available

Object Detection & Tracking with YOLOv8 and DeepSORT

No description available

Tracking and counting persons by using DeepSort and YOLOv8

Real-time vehicle detection, tracking, and counting using YOLOv8 and DeepSORT.

Real-time object detection, tracking, and counting using YOLOv8 and DeepSORT/ByteTrack

Real-time object detection, counting, and tracking system using YOLOv8 and DeepSORT.

Real-time vehicle detection, tracking, counting, and speed estimation using YOLOv8 and DeepSORT

Vehicle detection, tracking and counting with YOLOv8 and DeepSORT using OpenCV library in Python.

🚗 Real-time vehicle detection, classification, and counting using YOLOv8 with DeepSORT tracking.

Traffic Flow Analysis using YOLOv8 & DeepSORT - Automated vehicle detection, tracking, and per-lane counting from video streams.

Real-time human counting system using YOLOv8 for detection, DeepSORT for tracking, and OpenCV for video processing

Object Tracking System using YOLOv8 + DeepSORT. Detects objects and tracks them across frames. Applications include counting people, monitoring traffic, and tracking players in sports. Built with YOLOv8, OpenCV, and DeepSORT for accurate real-time tracking.

real-time computer vision solution for automated vehicle counting and traffic flow analysis using YOLOv8 and DeepSORT tracking algorithms.

Real-time multi-object detection, tracking, and counting system using YOLOv8 and DeepSORT, with performance benchmarking and visual analytics dashboard.

A comprehensive vehicle detection and tracking system using YOLOv8 and multiple tracking algorithms (ByteTrack & DeepSORT) for real-time traffic monitoring and vehicle counting.