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.

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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 ...

As the backbone of modern energy systems, smart grids and digital substations promise efficiency and sustainability—but they also open the door to escalating cyberthreats. This article dives into a ...

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 ...

OpenCV includes movement detection. facial recognition, object tracking, contour processing and image segmentation. November 25, 2008 - Vision Components GmbH adapted OpenCV, the open source program ...