Iran-Made System Scans, Reads Car License Plates Rapidly with 97% Accuracy
“The license plate reader or license plate recognition system (LPR) is an automatic process that takes a photo of the license plate and converts that image into numeric characters to identify the car and send information to the databases,” Aboulfazl Hosseini, a faculty member of Islamic Azad University’s West Tehran branch and the managing-director of the knowledge-based company, told ANA on the sidelines of Asr-e Omid event and exhibition in Karaj.
He explained that Automated Number Plate Readers (ANPR) are high-speed and computer-controlled camera systems that typically use image-to-text Optical Character Recognition (OCR) technology to read license plates at a much faster rate than human operators or cameras.
“The license plate reader software can be used in traffic and violation reports to the police, industry, personal security programs and to assess tolls on highways,” Hosseini said.
97.5% accuracy in recognition of license plate, a record of storing 400,000 license plates in the system memory, no need for high processors, easy and convenient use, reporting in Excel and PDF, web user panel (accessible in all browsers on the network), the ability to define the access level for different users, the ability to view the panel on mobile, the ability to automatically command the roadblock and the automatic door, etc. are among the features of the license plate recognition system, he added, noting that the software also records the date and time of entry and exit, having or not having a license, the direction of entry or exit, the name of the car owner, and the camera that stores the license plate.
The fourth edition of Asr-e Omid (Age of Hope) exhibition with a main focus on Artificial Intelligence (AI) and Internet of Things (IoT) was held on the campus of Islamic Azad University’s Karaj branch located near Tehran on October 14-17, 2023.
A large number of Iranian idea makers, young inventors, knowledge-based companies and leading scientific centers participated in the event to display their latest achievements.
4155/v
