Face Recognition Attendance System
Faster & Easier Record Keeping with Face Biometrics
Facial biometrics-based attendance that ensures accuracy and eliminates proxy attendances.
Zero Effort Attendance Tracking
Walk In – You’re Done!
Why Use Facia’s Attendance Solution?
Cost Effective
Facia’s advanced AI eliminates the need for manual procedures, reducing the cost of attendance management
Real-time Reporting
Employee attendance management in real-time enables administrators to actively evaluate staff productivity
Remote Access
Access attendance records remotely, making it easy to manage systems for companies with multiple offices
Frequently Asked Questions
A face recognition attendance system is a type of biometric system that uses face recognition technology to identify and verify an employee's identity. Facia uses a camera to capture an image of the employee's face, which is then compared to a database of known faces. If the face matches a face in the database, the system will record the employee's attendance.
Advantages: Accurate Efficient Convenient Secure Cost-effective Disadvantages: Privacy concerns Accuracy issues Cost
Yes, our system is GDPR compliant, and we take data privacy and security seriously. We encrypt all data and ensure that only authorised personnel can access it.
Facial recognition attendance offers benefits such as increased accuracy, efficient tracking, enhanced security, and reduced time fraud.
Yes, Facia can easily integrate with other attendance management systems, making it a flexible solution for companies of all sizes.
Face detection is concerned with locating faces in images or videos, while face recognition focuses on identifying and verifying individuals based on their facial features using a database of known faces.
Face verification and face identification are two distinct types of facial recognition technologies. In face verification, the system verifies if a given face image belongs to a specific individual. It employs a one-to-one matching method by comparing the face image with the claimed identity to determine the match. On the other hand, face identification involves identifying a person from a given face image. It employs a one-to-many matching method by searching a database of known faces to find a match with the person in the image. The key difference lies in the matching process: face verification focuses on confirming the identity of a specific individual, while face identification aims to identify the person from a larger pool of known faces.