College girls "brush face" can enter the dormitory strangers will enter the alarm

(Original title: Girls "brush their faces" into the dormitory to enter the strangers will alarm)


On May 15, a student of Beijing Normal University entered the apartment using face recognition access control. Beijing News reporter Peng Ziyang

When entering a dormitory, face recognition is required. When a stranger enters, it will call the police. Recently, a “face recognition system” appeared in a female student dormitory at Beijing Normal University. Students must enter the dorm after entering “brush face” recognition. In this regard, Beijing Normal University, said the face recognition system in Beijing college dormitory is still the first case, the current machine is only installed about half a month, the alarm function is still debugging.

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Colleges and universities to implement "brush face" into the female dormitory strangers will enter the alarm (Source: Netease users)

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Beijing Normal University’s female dormitories installed face recognition systems. The school called safety considerations. Related equipment has been in operation for two years in Sichuan University.

When entering a dormitory, face recognition is required. When a stranger enters, it will call the police. Recently, a “face recognition system” appeared in a female student dormitory at Beijing Normal University. Students must enter the dorm after entering “brush face” recognition. In this regard, Beijing Normal University, said the face recognition system in Beijing college dormitory is still the first case, the current machine is only installed about half a month, the alarm function is still debugging.

Make-up fat does not affect machine recognition

In the afternoon of May 15, the Beijing News reporter saw the undergraduate student dormitory of the Beijing Normal University’s “Learn from 13 Houses” downstairs. “The brush machine” had one inside and outside the dormitory door, and the machine was white and about 1.7 meters high. There is a student card scanner on the fuselage, and a numeric keypad with blue light. Standing in front of the "brush machine", you can clearly see the person's face on the screen after aiming at the camera.

The Beijing News reporter saw that a student entered the dormitory and stood in front of the machine. The student card was placed on the student card scanning area. Two face recognition windows appeared on the machine screen at the same time. After face recognition, the “brush machine” will make a “welcome home” and the dormitory door will open. When going out, students also need to brush the face in the door side to do the same operation to get out of the dorm.

According to passing students, there are three ways to use “brush the face machine”. Swipe the student’s card, enter the ID number, or shout out your name to the screen. With face recognition, you can open the dormitory door.

Some students in the “Learning 13” school thought that the appearance of “brushing the face machine” facilitated their access to the dormitory. A student told the Beijing News reporter, “It's very easy to brush my face. I didn’t use this hairstyle before. After cutting my hair and bangs, the machine can still be identified.” This classmate explained that because the camera was registered at the time of registration, From multiple angles, there are three-dimensional face modeling in the database, so makeup or not or fat or thin changes will not affect machine recognition.

However, some students encountered obstacles in “brushing their faces”. “The response is a bit slow, and sometimes you have to try two or three times. For various angles, it's not very convenient.” The classmate introduced that sometimes there will be some delay in face recognition when entering the door.

Outsiders will alarm when entering the system

Is it necessary to install a face recognition system in a university dormitory? The person in charge of the Beijing Normal University Dormitory Service Center introduced to the Beijing News reporter that the installation of the “face recognition” system was mainly aimed at strengthening the safety of the dormitory. “Before the conventional access control was used, it was impossible to prevent the entry of outsiders,” after installing the system. , Once there is a staff outside the dormitory to enter, the monitoring system installed inside the door will alarm.

According to briefings, the face recognition system is the first example of dormitory use in Beijing colleges and universities. Because the face of foreigners is not entered in the database, when entering the dormitory, the camera facing the entrance will record its facial features and have been entered in the database. Faces are compared. Once they are found in the database, they will be alerted. Relevant person in charge revealed that the "brush face" machine is only installed for about half a month, and the alarm function is still being debugged.

At present, Beijing Normal University only installs a "brush face machine". The first step is to "try to learn 13 homes" to conduct a pilot. "In the near future, nine other undergraduate female student dormitories will also install the machine." Responding to the delays reported by some students, relevant responsible persons stated that due to the current level of face recognition technology, delays are normal and the current recognition rate can reach 97%.

According to the manager of the “brush face machine” producer, the “wall-mounted face inspection machine” of Beijing Normal University should be the first case of a university in Beijing.

"Face recognition has two major influencing factors, one is outdoor lighting and the other is the use of posture." According to reports, the accuracy of face recognition is difficult to achieve 100%, and the light hits the human face to form an image transmission to the system. Each time the light is different, so the imaging will be different. In addition to lighting, the use of different angles of people can also affect the accuracy of recognition.

Manager Bi said that the machine has been in operation for 2 years in most of the buildings in Sichuan, and will be further covered in the Sichuan University dormitory.

Beijing News reporter Lu Tong intern Wang Yanyu

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