AI Employee Monitoring Using Computer Vision

I built a Computer Vision system designed to monitor employee activity in an office environment using real-time object detection and tracking.

How It Works

The system tracks employees and assigns each person a unique ID.

It then analyzes their position and activity over time to determine different states:

• WORKING – the employee is actively working at their workstation.
• * ABSENT – the employee has left their workstation.
• * PHONE USAGE – the employee is using a smartphone instead of working.

For example, if an employee leaves their workstation, the system marks the corresponding employee as ABSENT.

If an employee remains at their workstation but starts using a smartphone, the system detects the activity and changes their status to PHONE USAGE.

Technologies Used

• Python
• * YOLO
• * OpenCV
• * Object Detection
• * Object Tracking
• * Behavioral Analysis

The project uses tracking IDs and spatial/temporal analysis rather than facial recognition.