AI Employee Monitoring & Attendance System
An academic computer vision system that uses IP camera feeds to detect employee presence, track time spent in the workplace, and generate attendance insights.
Project Overview
This academic project explored how computer vision can be used to automate workplace attendance and presence tracking. We developed a system that connects to IP camera feeds, detects employees within the monitored environment, and records their presence over time. The collected data is then used to calculate arrival times, departure times, and total time spent in the workplace, providing management with structured attendance insights.
Key Features
Technical Challenges
Maintaining detection accuracy under different lighting conditions
Handling changes in camera position, movement, and visibility
Tracking multiple people within the same camera feed
Calculating reliable presence duration from continuous video streams
Results & Impact
Project Info
Academic Project
Academic Year
1 developer
2021
Technologies Used
Project Gallery
