§ PLATE 03·COMPUTER VISION & BIOMETRIC AUTOMATION
CampusEye AI
A smart Face-ID based attendance system focusing on real-time edge recognition and reliability.
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FIGURE 03.1 · OPENCV PIPELINE WORKBENCHPYTHON 3 / EDGE VISION
System Architecture
CampusEye AI was built to solve the inefficiency of manual attendance tracking in educational institutions. Using OpenCV and Python, the system captures real-time video feeds and matches faces against a pre-registered database.
The core challenge was ensuring high accuracy under varying lighting conditions and preventing spoofing. The application utilizes a lightweight local database (SQLite) to log attendance timestamps efficiently without relying on constant cloud connectivity.
Tech Stack
PythonOpenCVFace Recognition APISQLiteNumPy