wasdac9/automatic-number-plate-recognition

Automatic Number Plate Recognition with YOLOv5 and PyTorch

37
/ 100
Emerging

This tool helps you automatically identify vehicle number plates from surveillance footage. You feed it images or video from CCTV cameras, and it outputs the same footage with bounding boxes drawn around detected number plates. It's designed for traffic management personnel, law enforcement, or security teams who need to monitor vehicles.

No commits in the last 6 months.

Use this if you need to quickly locate and highlight number plates in still images or video recordings from traffic cameras.

Not ideal if you need to actually read the characters on the number plates or if you don't have access to GPU hardware for processing video efficiently.

traffic-monitoring law-enforcement surveillance security-operations vehicle-tracking
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 6 / 25
Maturity 16 / 25
Community 15 / 25

How are scores calculated?

Stars

19

Forks

4

Language

Jupyter Notebook

License

MIT

Last pushed

Aug 01, 2022

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/computer-vision/wasdac9/automatic-number-plate-recognition"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.