ELID-ANPR Access Your Premises Effortlessly With Automatic Number Plate Recognition

PublishTime：2024-09-23

●It is time to take your access control system to the next level. With ELID’s latest automatic number plate recognition technology, you can now use your vehicle’s license plate number as your credential to gain access to your secured premises. ELID-ANPR does not just make driving in and out of your premises fast and convenient, it makes the actual process of gaining authorized access completely effortless. No more wasting time searching for your access card and rolling down your car windows to badge it. No more getting soaked while extending yourself trying to reach that entry/exit reader in heavy rain!
●What is ELID-ANPR?
■Automatic number plate recognition (ANPR) is a technology that uses optical character recognition (OCR) to recognize license plate numbers from captured images of the vehicle license plate. ELID-ANPR is a stand-alone Linux-based ANPR system with superior OCR performance, achieved by deploying state-of-the-art deep neural networks. It is meant to be installed and used at the edge – this eliminates the need for any PC or software installation. ELID-ANPR is equipped with a built in web-server, which allows the user to perform important functions like database management, adjusting settings and software updates through the web interface. It can also be directly managed from ELID’s access control softwares. The system is packaged with a powerful, dedicated IP camera that is specifically designed to be accessed by ELID-ANPR processing unit for obtaining crisp images of license plates.

Brand of Product：	ELID
Part#：	EV-200 More Part#
Product Category：	stand-alone Linux-based ANPR system More
Application：	More
Data Type：	Supplier and Product Introduction More
Safety & Environment Standards：	More
Operating Temperature：	Please see the document for details
Qualification Grade：	More
Qualification Approval：	More
Package：
Language：	English Chinese Chinese and English Japanese
Date of Creation：	2019/3/12
Version Number：
Data Encoding：
Data Size：	442 KB

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