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Artificial Intelligence · Major Project
Number Plate Recognition
ANPR for Indian plates with entry-exit logging and billing
3-4 weeks build
Overview
Automatic number plate recognition tuned for Indian plates, wrapped in a working parking system. Detection finds the plate, OCR reads it, a format validator corrects the characters OCR routinely confuses, and an entry-exit ledger computes parking duration and fees.
What makes it stand up
- 01Format-aware correction for the O/0 and I/1 confusions OCR makes
- 02Handles the single and double-row plate layouts used in India
- 03Entry and exit matching with duration-based billing
- 04Live camera or video-file input, plus a CCTV-style demo clip
- 05Accuracy breakdown by distance, angle and lighting
Module breakdown
- 01
Detection
Plate localisation with a tuned YOLO model.
- 02
OCR
Character recognition with a plate-format validator.
- 03
Ledger
Entry-exit matching, duration and fee calculation.
- 04
Dashboard
Live feed, recent reads and daily reports.
- 05
Reports
Occupancy, revenue and exception listings.
After this, you will be able to
- Explain why detection and recognition are two separate models
- Show the format validator fixing a real OCR mistake
- Give honest accuracy figures by lighting condition
Technology stack
- Python
- YOLOv8
- EasyOCR
- OpenCV
- FastAPI
- PostgreSQL
- Level
- Major Project
- Domain
- Artificial Intelligence
- Build time
- 3-4 weeks
- Difficulty
- Rating
- 4.8 / 5 · 174
You receive
- Complete, commented source code
- 60-90 page project report (IEEE format)
- Editable presentation deck
- Architecture, ER and UML diagrams
- Local setup and deployment guide
- Sample dataset or seed data
- Viva question bank with answers
- One 45-minute walkthrough call
- 30 days of doubt-clearing support