I will build license plate recognition anpr vehicle detection system with opencv
About this Gig
I build custom license plate recognition and ANPR systems that automatically detect vehicles, locate license plates, read plate numbers, and record vehicle events from camera footage.
A typical real-world project could be a parking facility where an entrance camera identifies approaching vehicles, reads their license plates, records the entry time, and sends the result to an access-control system. The same workflow can be adapted for security gates, warehouses, private facilities, toll areas, traffic monitoring, and vehicle management.
Features can include vehicle detection, license plate localization, OCR recognition, vehicle classification, multi-vehicle tracking, plate matching, entry and exit logging, timestamps, snapshots, blacklists/whitelists, parking monitoring, and RTSP/IP camera integration.
I can work with CCTV cameras, IP cameras, USB cameras, recorded videos, and live streams. The solution can be developed using Python, OpenCV, OCR, detection and tracking pipelines, with the processing workflow .
Please send your sample footage, camera specifications, plate format, and required workflow before ordering so I can recommend the right implementation.
APIs:
Microsoft Computer Vision AI
•
Azure Face API
Programming language:
Python
Tools:
OpenCV
•
TensorFlow
•
MLflow
Frameworks:
Scikit-learn
•
SimpleCV
•
Keras
•
PyTorch

