面部识别技术用于分析学生课堂表现

A high school in Hangzhou is using facial recognition technology to analyze the behavior of students in the classroom, and to keep a record of their attendance, reports Beijing News.

 

《新京报》报道，杭州一所高中利用面部识别技术分析课堂上学生的行为，并记录下他们的出勤率。
 

 

The "intelligent classroom behavior management system" used at Hangzhou No. 11 High School incorporates a facial recognition camera that scans the classroom every 30 seconds. The camera is designed to log six types of behaviors by the students: reading, writing, hand raising, standing up, listening to the teacher, and leaning on the desk. It also records the facial expressions of the students and logs whether they look happy, upset, angry, fearful or disgusted. The information collected by system is analyzed and reported to teachers so they can better supervise the performance of their students.

 

In response to concerns about student's privacy, Zhang Guanchao, the school's vice principal, explained that the system only collects and analyzes the results of the facial recognition analysis, and does not save the images themselves. He noted that privacy was considered in the design of the system, saying "Data collection and application focus on behavior management of the entire class rather than any individuals." He emphasized that the system is connected to a local server, not to a cloud server, in order to prevent unauthorized access to the data.