Engineered specifically for regional license layouts, this computer vision module accurately parses vehicle tracking frames from surveillance cameras, operating seamlessly in low-light environments or fast-moving highway scenarios.
Vehicle & Motorcycle Plate OCR
Iranian vehicle and motorcycle license plate recognition for access control, parking management, and intelligent traffic tracking systems
A high-performance Automatic Number Plate Recognition (ANPR) engine built on deep convolutional networks. It delivers reliable plate parsing, character isolation, and tracking under extreme conditions.
About Vehicle & Motorcycle Plate OCR
Core Uses
Automation of public, commercial, and private corporate parking structures
1
Traffic flow monitoring and vehicle access controls at municipal checkpoints
2
Automated identification of traffic infractions and citation logging
3
Real-time tracking and monitoring of logistical supply chain fleets
4
Key Features
Supports Iranian vehicle license plates
Supports Iranian motorcycle license plates
Extracts license plate text from images
Suitable for traffic control and parking management scenarios
Integrates with organizational systems
Available as a service for use in operational workflows
Can be enhanced based on real-world sample images from the customer’s environment
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