Fast Recognition
Plate reading and recognition in milliseconds
ANPR Technology
Manage your parking lot with AI-powered automatic plate recognition. Fast, reliable and uninterrupted service.
- Automatic Recognition
The basics
A plate recognition system (ANPR) is an image processing technology that automatically detects and recognizes vehicle license plates. Using AI and machine learning algorithms, it handles vehicle entries and exits automatically.
It minimizes human error at entries and exits, lowers operating costs and gives drivers a passage without waiting. With the Visiosoft plate recognition system, you can run your parking lot unmanned.
- DetectionThe plate area is located
- RecognitionThe characters are read
- LoggingThe passage is processed automatically
Features
Speed, accuracy and central management at entries and exits.
High Accuracy
Reliable results with over 99% accuracy
Night Vision
Uninterrupted 24/7 operation, day or night
Cloud-Based
Access from anywhere and central management
Data Analysis
Detailed reporting and business intelligence analytics
Mobile Access
Real-time tracking and management with the mobile app
Process
Four steps, from the moment the vehicle enters the camera’s view until the barrier opens.
Image
The camera watches vehicles approaching the entry and exit 24/7, day or night.
Plate detection
Image processing automatically detects the plate area within the frame.
Recognition
AI and machine learning algorithms read the plate within milliseconds.
Automatic passage
Entry and exit are processed automatically; the record goes to central management and reports.
FAQ
The most common questions about the plate recognition system.
A plate recognition system (ANPR) is an image processing technology that automatically detects and recognizes vehicle license plates. Using AI and machine learning algorithms, it handles vehicle entries and exits automatically.
The system delivers reliable results with over 99% accuracy. Proper camera configuration and correct on-site camera angles directly affect the result.
IR-assisted night vision, an anti-glare lens and correct on-site camera angles deliver high accuracy in low light. Optional dual-camera verification lowers the error margin further.
No. Thanks to the Edge Controller architecture, plate reading, barrier control and passage logs keep working in offline mode. When the connection returns, the accumulated data is synchronized to the central server automatically.
With an open-protocol approach, integration is supported with dry contact, RS485/TCP-IP, ONVIF and RTSP-based systems. Before installation, an inventory analysis is done and a compatibility report is prepared.
Demo
Ready to Get Started?
Contact us for a demo; let’s review the system together using your own scenarios.