Guide: It is understood that Beijing Normal University will adopt a face recognition access control system, which has three recognition modes. The first is to perform face recognition after swiping the campus card. The second is to perform face recognition after shouting the name. When students don’t have a card or can’t get out of their hands, they can call their names to the machine, and the machine will perform voice recognition to compare faces and names. According to reports, the system can recognize 26 dialects. In addition, students can also enter the last four digits of the campus card password, and then compare the student's face and information.
On September 6th, in the student dormitory of Beijing Normal University, 2017 freshmen are collecting information in front of the face recognition system, in the future, students will "swipe their faces" in and out of the dormitory.
Recently, Beijing Normal University welcomed 2,626 undergraduates of 2017. The youngest is 14 years old and the oldest is 28 years old. It is understood that all dormitories of Beijing Normal University have installed a face recognition access control system this year, freshmen will collect their faces immediately upon registration, the student dormitories will start the era of "face-swiping".
The reporter learned from Beijing Normal University that this year there are 2,626 undergraduate freshmen at Beijing Normal University, of which the main force is the students born in 1999, accounting for 62%. The youngest was born in 2003 and is 14 years old this year. The oldest was born in 1989 and is 28 years old, there are 4 undergraduates over 25 years old. In addition, there are 772 boys among the freshmen of Beijing Normal University this year, accounting for 29.4%. There are 1,854 girls, accounting for 70.6%, and the male to female ratio is 3:7.
This year, the first batch of "post-00s" began to flood into university campuses. It is reported that there are 428 "post-00s" in Tsinghua University, accounting for 11.4% of the total number of "seven-character classes", the youngest freshman was born in May 2004, just over 13 years old, and is from Anhui Province. Peking University has 340 "post-00" freshmen this year, accounting for 12%, the youngest is a Beijing freshman born in May 2003, who has just turned 14 and entered Yuanpei College. Chen Shuyin, the youngest student at Zhejiang University, opened a journal, just after his 13th birthday. When the new students of Peking University registered, a new student born in 1998 laughed and said, "The one in 1998 is already very old."
Face recognition access control can understand 26 dialects
Yesterday Beijing Normal University freshmen registered with face-swiping. There are two face-swiping devices in front of the main building plaza, freshmen stand in front of the devices for two seconds and compare facial data to complete the registration.
This year the Beijing Normal University’s dormitories have fully started the era of “face-swiping”, and all dormitories have installed face recognition access control systems. Freshmen come to report and need to collect information on the face recognition access control machine before they can "pass off" and enter the dormitory.
In May of this year, the 13 dormitory building of Beijing Normal University took the lead in using the face recognition access control system for pilot projects. In mid-August, the school began to install face recognition access control systems in all dormitories.
It is understood that the face recognition access control system of Beijing Normal University has three recognition modes. The first is to perform face recognition after swiping the campus card. The second is to perform face recognition after shouting the name. When students don’t have a card or can’t get out of their hands, they can call their names to the machine, and the machine will perform voice recognition to compare faces and names. According to reports, the system can recognize 26 dialects. In addition, students can also enter the last four digits of the campus card password, and then compare the student's face and information.
