. Monitor ( Face Detection , Fire , Calling , Smoking ) Detection and Take Attendance

This project involves developing an intelligent monitoring system using computer vision to detect multiple activities such as face presence, fire, phone usage (calling), and smoking. The system is designed to enhance safety and automate attendance tracking in environments like classrooms or workplaces.

It utilizes deep learning models (e.g., YOLO, CNN-based detectors) to perform real-time detection from video streams. The face detection module is used for automatic attendance by recognizing and recording individuals as they appear.

The system provides real-time alerts for unsafe behaviors (like fire or smoking) and maintains attendance logs, making it a smart solution for monitoring and management.