NCheck Standard
by Neurotechnology Lab
Biometric Registration & Employee Time Attendance App - Neurotechnology Lab
| App Name | NCheck Standard |
|---|---|
| Developer | Neurotechnology Lab |
| Category | Business |
| Download Size | 372 MB |
| Latest Version | 5.2.12.522 |
| Average Rating | 0.00 |
| Rating Count | 0 |
| Google Play | Download |
| AppBrain | Download NCheck Standard Android app |
A highly accurate and reliable system built for the registration, management and attendance monitoring of personnel. NCheck Standard is an attendance app powered by biometric identification at its core (face, fingerprint, iris modalities).
Features and benefits:
• Multiple Biometrics - 3 biometric modalities are available - face, finger and iris
• Comprehensive reporting - reports include summary on working hours, overtime, vacation, sick leave and other relevant information all of which can be exported to the payroll system
• Location tracking - system can track the geographical location of a person’s place of check-in / check-out
• Liveness detection - before starting facial recognition, the system can validate that the check-in / check-out is being attempted by a real person
• Real-time face detection - system can detect the face of a person passing by without requiring to stop and wait while the camera takes a picture
• Multiple face detection - biometric attendance app system can detect and recognize faces of all the people seen in the picture
Recent changes:
Updated: Check-In Check-Out Shift selection logic.
Fixed: Event id data is not deleting once synchronized.
Fixed: Identification takes longer time in slow devices.
Features and benefits:
• Multiple Biometrics - 3 biometric modalities are available - face, finger and iris
• Comprehensive reporting - reports include summary on working hours, overtime, vacation, sick leave and other relevant information all of which can be exported to the payroll system
• Location tracking - system can track the geographical location of a person’s place of check-in / check-out
• Liveness detection - before starting facial recognition, the system can validate that the check-in / check-out is being attempted by a real person
• Real-time face detection - system can detect the face of a person passing by without requiring to stop and wait while the camera takes a picture
• Multiple face detection - biometric attendance app system can detect and recognize faces of all the people seen in the picture
Recent changes:
Updated: Check-In Check-Out Shift selection logic.
Fixed: Event id data is not deleting once synchronized.
Fixed: Identification takes longer time in slow devices.
