ai-ml
Asistencia
Computer Vision Attendance System — YOLOv11, FaceNet, Node.js, MySQL
YOLOv11FaceNetOpenCVNode.jsMySQL
Feb 2025 – May 2025GitHub
Highlights
- Co-developed a real-time automated attendance system achieving 90%+ face recognition accuracy in varied lighting conditions using YOLOv11 (detection) and FaceNet (identity matching).
- Built a live video processing pipeline with OpenCV frame pre-processing (histogram equalization) to improve model confidence from ~60% to 90%+ under low-light conditions.
- Designed and implemented a RESTful Node.js + MySQL backend for attendance record management, supporting real-time writes from the video pipeline with sub-100ms API response times.