Automatically recognizes and processes license plate areas and numbers by applying deep learning technology in photos and videos. It can be used in parking control, rental vehicle management, CCTV security, and automobile insurance fields.
Automatically recognizes and processes license plate areas and numbers by applying deep learning technology in photos and videos. It can be used in parking control, rental vehicle management, CCTV security, and automobile insurance fields.
License plate recognition
· Green, white, yellow, eco-friendly license plate recognition
Car number recognition
Region name · 17 regions (Seoul, Busan, Daejeon, etc.) · Horizontal and vertical area name Usage · Non-business use: 가, 나, 다, etc. 32 Korean characters · business use: 아, 바, 사, 자 · Delivery: 배 · rental car: 하, 허, 호 · military: 국, 공, 육, 해, 합 · Diplomatic and temporary: option Number division · First digit: 2 digits, 3 digits Vehicle serial number · Last digit: 4 digits
Providing deep network for the optimal license plate recognition
· Using a deep learning network for license plate photos captures in various environments · Minimize wrong detection by applying optimal threshold · 99% accuracy based on normal photos
Multi license plate recognition
· Multiple license plate recognition process within one image
Fast recognition speed
· High recognition speed using GPU with server version: less than 0.1 second · GPU: Graphics Processing Unit
License Plate Recognition Support Format
License plate recognition example
Europe LPR/ANPR
Singapore & Malaysia LPR/ANPR
OS
·Windows 10 Professional 64 bit or higher (When configuring high-end PC Workstation) ·Windows 2016/2019 Server Standard 64 bit or higher
Server specification
CPU version · Intel Xeon 2.3 Ghz 4-Core or higher · Memory: 16 GB or higher · HDD: 300 GB or higher GPU version · Intel Xeon 2.3 Ghz 4-Core or higher · Memory: 16GB or higher · HDD: 300 GB or higher · GPU: At least 6 GB of NVIDIA memory
Android
Android 8.x or higher
iOS
iOS 11.x or higher