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License Plate Recognition System
   
   
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GV License Plate Recognition
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Introduction

GV-LPR is a digital license plate recognition system that utilizes Neural Network Technology of artificial intelligence to identify vehicle license plates. It comprises a video capture card to acquire images, a software-based engine to recognize characters, a set of I/O modules to integrate with alarm and sensors, and a database to store images for event retrieval or analysis. 1, 2, 4, 6 and 8-lane real-time recognition are available.


Recognition
GV-LPR activates recognition process in two ways. One is by software video motion detection, which detects vehicles passing through the camera and illuminator zone. Second is by I/O activation, which the action triggers recognition and recording on I/O activation. For example, a GV-LPR may be connected to a sensor such as magnetic loop detector, overhead laser scanner, or infrared sensor. When these devices are triggered, the system starts the recognition and sends the output signals to trigger devices like gate controller. The system supports two view modes including Camera Overview and Picture-in-Picture with ease of monitoring.

Applications
Parking lot management
Traffic enforcement statistics
Enterprise entrance management
Border surveillance
Automatic toll collection enforcement
Stolen vehicle search


Key Features
High recognition rate: 99% (at best performance)
High recognition speed: < 0.2 second
Supports up to 8 I/O Trigger or 4 Motion Detection lanes
Supports Hardware Watchdog
Support image up to 720 x 480 (NTSC) / 720 x 576 (PAL) providing higher accuracy
Integrates with GV-series DVR to retrieve video footage by license plate number
Vehicle counter feature tracks number of vehicles remaining in the parking lot by counting vehicles entering and exiting the gate
Camera overview brings focuses on either the vehicle or the driver
License plate recognition database are processed and stored in Microsoft Access Database for easy and multiple applications
Multiple recognition technology is applied until a recognition result is reached
Alarms will be triggered when an unauthorized or unrecognizable vehicle is spotted
Picture-in-Picture window provides camera overview and the last recognized image
Video or AVI file is used as recognition input source
Digital watermark technology is applied to verify authenticity of video clips
Text overlay displays license plate numbers on recorded video image
Activates recognition by sensor triggers, video motion detection or Hot Key
Recognition result triggers I/O Relay or user-defined application
Recognizes and displays license plate image registered in database
Retrievable vehicle entry and exit records by license plate number
JPEG format support: Allows approximately 2 million JPEG images to be saved in a 160 GB HDD
Auto recycle for image storage and database backup
Recognition Database
Registered Plates Database
Event View

 
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