Core demands
With the development of offline training institutions, the number of students is increasing. How to more efficiently and systematically manage student attendance and class hours and carry out precise marketing through student data mining and analysis is the foundation and core of the operation of institutions.
Traditional student check-in mode:
1. Sign in at the front desk, which is inefficient and inconvenient for parents to know the class hours in time;
2. Students or parents sign in on the mobile phone through the public account, which is less proactive and difficult to manage;
3. Student card/membership card shall be used to sign in and deduct class hours, and problems such as forgetting to bring the card and losing the card shall be solved.
It is hoped that through the introduction of Baidu face recognition technology, the original model of student check-in and class hour management can be changed to improve work efficiency and realize systematic and intelligent operation of the organization.
Solution
The intelligent system independently developed by Hanchen has introduced Baidu face recognition technology. For students below K12, coaches can sign in, take photos of a single student or multiple students with mobile phones at any time, sign in records after identifying the student's identity, and retrieve student data for class hour deduction, which improves work efficiency, It has laid a data foundation for students' precision marketing in the later stage.
The use process of intelligent check-in system is as follows:
Step 1: Coach mobile terminal system page
Step 2: Face collection of single and multiple trainees
Step 3: Return the recognition result
Step 4: Successful sign in, deduction and relevant data statistics for student class hours
