Abstract: This research presents the development and implementation of a Face Recognition-based Attendance Collection system designed to automate attendance processes in institutional settings.
“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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We may receive a commission on purchases made from links. So, you recently upgraded to the latest smart TV release and now have an old one to spare. Instead of letting it collect dust in the basement, ...
Modernizing the electric grid involves more than upgrading control systems with sophisticated software—it requires embedding sensors and automated controls across the entire system. It’s not only the ...
The U.S. Marine Corps has signed a contract with Palantir Technologies for the Maven Smart System data-centric command and control platform. The military service said MSS will serve as a key enabler ...
Monitoring employees at work is a standard practice at any organization, but where do we draw the line on workplace surveillance? AT&T is reigning in its attendance tracking system after the ...
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 ...
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