Abstract: This research presents the development and implementation of a Face Recognition-based Attendance Collection system designed to automate attendance processes in institutional settings.

Let's make a real-time Facial Landmark Detection using OpenCV, Python, and Mediapipe API. It detects 468 facial landmarks in real time. Facial Landmark Detection is used for AR (Augmented Reality) ...

“The system runs inside a Python virtual environment to ensure dependency stability, especially for facial recognition libraries like dlib and OpenCV.” This is a perfect technical justification.

Know the rules, then use them fast: Balances last 5 years; inactivity fees after 12 months; some states cash out small leftovers (e.g., CA $10) Buy low, sell smart: Warehouse clubs = easy 20% off; ...

A real-time face recognition attendance system built with Python, OpenCV, and Firebase. This intelligent system automatically detects and recognizes faces through a webcam, marks attendance in a cloud ...