Leo Zhang
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School Face Recognition Attendance

Chunxiao Technology · 2020 – 2021

Role: Full-stack Engineer

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Smart face recognition attendance system for schools with real-time parent notifications. 99%+ recognition accuracy, sub-second response, liveness detection, deployed across multiple schools.

3+ schools deployed, <1s recognition, 99%+ accuracy, real-time parent notifications

Problem

Schools need touchless, automated attendance tracking that reliably identifies students and keeps parents informed.

Solution

Face recognition terminals with liveness detection, Spring Cloud backend, JPush for real-time parent notifications, attendance statistics dashboard, offline mode support.

Key Highlights

  • Developed face recognition attendance terminal and management system
  • Real-time attendance notifications pushed to parents
  • Liveness detection to prevent photo spoofing
  • Deployed across multiple schools with stable operation

Tech Stack

JavaKotlinPythonOpenCVFace RecognitionLiveness DetectionAndroid SDKSpring CloudJPushMySQLRedisMQTT

What I Learned

Liveness detection is essential to prevent spoofing in face recognition systems; real-time parent notification increases engagement; offline mode is critical for school network reliability.