SrujanPR/Vehicle-Detection-and-Counter-using-Yolo11
This project implements vehicle detection and counting using YOLOv11 and OpenCV. It processes a video file to track and count vehicles that cross a predefined red line, providing real-time visualizations of the detections and counts.
This project helps traffic engineers or urban planners automatically count vehicles in video footage. You provide a video file of traffic, and it processes each frame to detect vehicles and counts how many cross a specified line. The output is a new video file with overlaid visualizations of detected vehicles and their real-time counts, helping you analyze traffic flow.
No commits in the last 6 months.
Use this if you need to quickly get vehicle counts from existing traffic camera footage to understand traffic patterns or congestion.
Not ideal if you need to analyze live, real-time camera feeds directly or if you require advanced metrics like vehicle speed or detailed traffic flow reports.
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23
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5
Language
Python
License
MIT
Category
Last pushed
Jul 23, 2025
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