Face Recognition Software Designed in Iran Based on Deep Learning
“Our knowledge-based company operates in the field of industrial and agricultural products; therefore, we have designed a software for facial recognition which identifies attendance and absence of employees and registers their entry and exit from the organizations,” Amir Rajabi Behjat, a faculty member of the computer science department of Islamic Azad University’s Rafsanjan branch, told ANA.
“Deep learning algorithms have been used in the development of this software which has higher accuracy and speed in face recognition. Compared to other devices, it does not have a fixed face recognition mode and can record the entry or exit of a person in motion and while moving. Also, it can recognize people with any facial expression while they are smiling or frowning or wearing a mask or glasses,” he added.
Noting that the software can recognize up to 20 people concurrently, Rajabi Behjat said, “This software is installed on the cellphone or system to enlist the received figures and display the information within a few seconds.”
Also, in March, a technological company in Iran had developed a smart system named ‘Hamyar Jame Herasat’ to recognize a certain individual’s face in the crowd.
“The integrated Iran-made smart software also enjoys the capability to recognize a person in the crowd, match a face with a face defined in the software with 100% accuracy with a possibility to define an unlimited number and recognize and identify multiple faces simultaneously,” Mehdi Nabavifard, one of the officials of the company, told ANA.
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