This is the first university in Vietnam to take attendance with face recognition, evasion is only in the past

Thang Long University is testing the smart attendance system for the first time in Vietnam, automatically recognizing students' faces to class.

Thang Long University in Hanoi, a school which is famous for its beautiful campus and modern learning facilities, has recently gained a new technological achievement that many people are surprised and excited about. .

Specifically, Thang Long University is testing the smart attendance system for the first time in Vietnam, automatically recognizing students' faces to class.

This is the first university in Vietnam to take attendance with face recognition, evasion is only in the past Picture 1This is the first university in Vietnam to take attendance with face recognition, evasion is only in the past Picture 1
Photo: Bui Tuan Anh - one of three students of Thang Long University participated in the project.

Face recognition technology is gradually gaining popularity in the world. In China, this technology is applied almost everywhere not only in schools.

Previously, the application of a modern system for attendance for students has appeared at other technology specialized schools in our country but most still need an intermediate app for each individual.

This is the first university in Vietnam to take attendance with face recognition, evasion is only in the past Picture 2This is the first university in Vietnam to take attendance with face recognition, evasion is only in the past Picture 2
The camera integrates the identification system, tracking gestures and information of all students in a class in China.

The face recognition technology of Thang Long University is called "TLnet" and is currently being implemented by a group of 1 instructor and 3 IT majors.

Mr. Thang, the teacher in charge, said that the application of attendance recognition technology aims to prevent student status, attendance and supervision of student behavior on the school in real time ( realtime).

Currently, the new test is only in the first stage and has only been applied on the classes of the Thang Long University's K31 news team, but TLnet has achieved positive signs, clearly differentiating the students in photos with accuracy and realtime capability reach 99.78%, can even reach 100% if some cases are removed.

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