Real-Time Face Recognition System for Attendance Management
In modern educational institutions and corporate organizations, attendance management is a critical component that directly impacts performance evaluation, security, and operational efficiency. Traditional methods, such as manual sign-ins or biometric systems using fingerprint scanners, are often time-consuming, error-prone, and susceptible to manipulation. To overcome these limitations, a Real-Time Face Recognition System for Attendance Management has emerged as an effective, contactless, and highly secure solution leveraging advancements in computer vision and artificial intelligence.
The Real-Time Face Recognition Attendance System is designed to automate the process of attendance tracking by identifying individuals through facial features. This system employs a live camera feed to capture facial images of people entering a room or a facility. Using deep learning models, the system detects and compares these faces with a pre-registered database to mark attendance. The entire process occurs in real-time, offering immediate recognition without the need for any manual intervention
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