Case study: Nguyễn Du Secondary School reduces 90% truancy thanks to Face ID gate

Face ID student attendance is a solution that integrates AI facial recognition cameras at school gates, automatically recording the real-time entry/exit times of each student. In Vietnam, this solution is being deployed at hundreds of schools from preschool to high school to combat truancy, optimize management, and connect with parents.

Customer Problems

Solution Deployed by Việt Đức Trí Group

Việt Đức Trí Group deployed a Face ID attendance system consisting of 4 Face ID time attendance terminals at the main gate and side gate, integrated with management software and an app for sending real-time notifications to parents.

1. Site survey: Measured student traffic through the gates (300-400 students during the 3-5 minute peak period), determined the installation locations for 4 Face ID terminals (2 main gates, 2 side gates).
2. Equipment installation: Used 4 long-range facial recognition terminals (recognition distance 1-3 meters) placed at a height of 1.5 meters, at a 30-degree angle to the direction of travel. Integrated additional barrier turnstiles to prevent passing without facial scanning.
3. Management software setup: Imported the list of 1,200 students + facial photos (3-5 photos per student from different angles). Set rules: mandatory attendance 2 times/day (morning entry, afternoon exit), real-time alerts if a student leaves during school hours.
4. Parent app integration: Each parent receives a notification via Zalo OA immediately when their child scans their face at the gate (including a photo). If the child hasn't arrived at school after 7:15 AM, the app automatically sends an alert.
5. Training and trial operation: 2 weeks running in parallel with manual attendance, adjusted the recognition threshold (from 85% to 92%) to reduce false negatives.

Achieved Results

"Before, I spent 20 minutes each morning taking attendance, and I also had to call parents when students were absent. Now I just open the app, view the report, and I know immediately how many students are absent in my class and who hasn't arrived yet. I use that time for professional work and student counseling. Parents also don't call to bother me anymore — they receive automatic notifications when their child enters the gate."

Lessons Learned and Application for Other Schools

Experience from this case shows: to successfully deploy Face ID student attendance, you need to prepare high-quality facial photos, choose long-range recognition devices, and integrate parent notifications from the start.

• Input photos determine 70% of success: Nguyen Du School had to retake photos for 30% of students because old photos were blurry or poorly lit. Recognition results improved immediately after updating the new photos.
• Choose equipment suitable for traffic volume: For schools with >500 students, long-range recognition devices (1-3 meters) and barrier turnstiles are needed to avoid congestion. Smaller schools can use standard wall-mounted terminals.
• Combining with a parent app is key: 80% of parents surveyed said real-time notifications were the main reason they supported the system. If it were only internal attendance, parental pressure would be lower.
• An adaptation period is needed: In the first week, 15-20% of students forgot to scan their faces or deliberately avoided it. After 2 weeks, this rate dropped below 5% thanks to teacher reminders and handling of violations.

For more reference on deployment in other models, see Case Study: XYZ Factory Reduces Time Theft by 70% with Face ID + Turnstile or 5 Effective Ways Face ID Prevents Time Theft for Industrial Park Factories in 2026.

Frequently Asked Questions

Yes. Current AI cameras support facial recognition with masks, with an accuracy of 85-92% (depending on the device). However, for optimal results, it is recommended that students remove their masks when scanning their faces. Some schools install additional thermal cameras to combine with health screening.

For a scale of 1,000 students (requiring 3-4 terminals + barrier turnstiles + software), the initial investment cost ranges from 80-150 million VND depending on the configuration. Monthly operating costs are about 2-3 million VND for maintenance and data storage. Compared to the savings in teacher time (estimated at 40-60 hours/month), the ROI is typically achieved within 6-8 months.

Data is encrypted and stored on the school's internal server, not shared with third parties. The system complies with Decree 13/2023/ND-CP on personal data protection. The school can delete student data after graduation upon request.

Yes. The open API allows integration with most popular educational management software in Vietnam (e.g., Vnedu, SMAS, EduCloud). Attendance data is synchronized automatically, so teachers do not need to enter data manually.

Face ID devices have a backup battery lasting 4-6 hours and a buffer memory storing 10,000 offline scans. When the network is restored, data is automatically synchronized. However, it is recommended to install a UPS for the entire system to ensure continuous operation.

Do you want to deploy a Face ID attendance solution for your school like the Nguyen Du Secondary School case? Contact Việt Đức Trí Group immediately via hotline 0935 295 337 or email [email protected] for free consultation and survey.