Reliable License Plate Recognition Solution

Deep-Learning

Deep-learning models
based on big image data

High Recognition Rate

High recognition rate of 95%-98%
on alphanumeric number plates

Real-Time Recognition   

Automatically license
plate recognition in real-time

Hands-Free Access

Effectively manage vehicle
entry and exit system

Day-and-Night

Reliable capture license plate
during day and night

Centralized Management

Comprehensive access
authorization and management

 All-In-One Parking Management

From access managing to payment

Depends on site to add external

white or IR light for clearer

license plate image for the recognition.

 

 

Enhanced Security With GV-ASManager

 Parking entry/exit management (White List, visitor, Unauthorized list)

 2-Factor authentication

 3D visual map interface

 Real-time notification with snapshot

 Result query and export report

 Centralized management

 

3D Visual map interface

 

 

 

Unauthorized list

 

 

Real-time vehicle plate recognition

GeoVision LPR solution is good for day/night scenario, for parking entrance or for open road. It identifies even under colored background (not only black/white), in various vehicle type including motorcycles .

 

2-Factor Authentication

Reduces the chances of fraud, data loss, or identity theft.

 Detect vehicle license plate numbers & UHF RFID automatically.

 4 authenticating mode:

Integrated with existing 3rd party system with SDK

 

 Parking Payment System 

Homeowners Association
Software for Communities 

 

Automated Vehicle
Weighing System at Gates 

 

Installation Tips

 The captured plate should be no less than 50 pixels in height

 

 Install the camera to the front of the vehicle (Recommended).

 

Product Showcase

 Deep Learning LPR Camera

No need dedicated server to run the LPR

GV-LPR2800-DL

 

 

GV-LPR2811-DL

 AI Smart VMS Max.8ch

Intel i7 7th~9th or higher/ RAM 16G (recommended)

 

 

UHF Reader

 GV-IOBOX4E

IO Box

GV-RU9003

License Plate Capture Series

GV-LPC IP CAM

 

 

GV-LPC IP CAM