ML & AI

Number Plate Detection & Recognition

Real-time web application for automated number plate detection integrated with IP cameras to streamline car parking operations.

Role
ML Engineer
Duration
3 months
Client
National Center for Cyber Security (NCCS)

The Challenge

Manual car parking management was slow and error-prone. The facility needed an automated system that could detect and log vehicle number plates in real-time.

Approach & Solution

Built a real-time ANPR pipeline using OpenCV and deep learning for plate detection and OCR for character recognition. Integrated with IP cameras and built a Flask web dashboard.

Results & Impact

  • Real-time plate detection from live IP camera feeds
  • 95%+ recognition accuracy in controlled lighting conditions
  • Web dashboard with searchable plate history
  • Reduced parking check-in time from minutes to seconds

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