AI-Based Time And Attendance Tracking System With Facial Recognition

Service Category

Web-based application with real-time video monitoring using Yolo5s.

Background

The organization is a medium-sized IT company with approximately 450 employees. The company faced challenges in tracking employee attendance, managing time off requests, and ensuring the security of its facility. The company’s previous time and attendance tracking system relied on manual data entry through biometric machines, which was prone to errors and was time-consuming

Solution

The organization implemented an AI-based time and attendance tracking system with Facial Recognition technology to automate their attendance tracking process. The system utilized advanced algorithms to identify employees based on their facial features, eliminating the need for manual data entry. Employees were required to register their faces in the system, which took only a few seconds. Once registered, the system would recognize employees as they entered the workplace, and their attendance would automatically be recorded. The system also allowed employees to request time off and view their attendance records through a web app.

Result

The AI-based time and attendance tracking system with Facial Recognition technology had a significant impact on the organization. The system provided the following benefits:

Conclusion

The AI-based time and attendance tracking system streamlined their attendance tracking process, improved security, and enhanced employee productivity. As more organizations adopt AI based video analytics systems, we can expect to see an increase in efficiency and accuracy in the workplace.