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AI VISION TRACKER

Real-Time Object Detection & Tracking System

System Offline

Loading detection model…

0

People

0

Cars

0

Buses

0

Trucks

0

2-Wheelers

0

Animals

0

Other

Analytics

Detection distribution

    Object count over time

    Unique objects
    0
    Avg. track time
    0.0s
    Most frequent
    —
    Max simultaneous
    0

    Object & Detection History

    Conf > 0%

    Tracked object log

    No matching tracks

    Detection events

    No events yet

    Live Statistics

    detecting…
    FPS0.0
    Current0
    Unique0
    Total det.0
    Persons0
    Vehicles0
    Frame0
    Proc. time0 ms
    Resolution—
    Confidence0.50

    Tracked Objects

    IDObjectConfXYWH
    No objects in frame

    Detection Settings

    0.50
    0.45
    30
    1
    off

    About this project

    This project demonstrates real-time computer vision using a COCO-pretrained neural detector and SORT-based multi-object tracking. The system processes video frames, identifies objects, assigns unique tracking IDs, visualizes their movement, and provides real-time analytics through an interactive dashboard.

    Developed as an Artificial Intelligence / Computer Vision Internship Project