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.

Recycling is fine, but when you can put an unused device back into service, that’s even better. Maybe you’re treating someone, or yourself, to a new iPad this ...

In this tutorial, we build an Advanced OCR AI Agent in Google Colab using EasyOCR, OpenCV, and Pillow, running fully offline with GPU acceleration. The agent includes a preprocessing pipeline with ...

Face-Attendance-System/ │-- dataset/ # Captured face images │-- trainer/ # Trained model files │-- Attendance.csv # Attendance log file │-- takeImage.py ...

Abstract: Attendance management is essential in institutions and workplaces but traditional methods like manual entries or biometric systems often face issues such as time consumption, errors, and ...