https://store-images.s-microsoft.com/image/apps.31003.930e53e2-e89f-4c73-9b54-32af8d68de09.3ac936c7-4771-46a6-918b-a9284249c996.5d5c2f7c-0481-4a57-81c2-09c51c80470e
Facial Recognition System for Attendance
M2P Solution Private Limited
Facial Recognition System for Attendance
M2P Solution Private Limited
Facial Recognition System for Attendance
M2P Solution Private Limited
FRS service makes it possible to record the attendance of an individual or a group
M2P - Syntizen is a one of its kind Facial recognition based attendance System, which has both Individual for staff and for Group Face attendance capturing capabilities. Using this system several of the following use cases can be seamlessly accomplished.
- Instantly capturing attendance of several students in a class for a teacher.
- Capturing individual and group staff attendance in a corporate/industry/school.
Some Key Features mentioned below:
- No dependency on internet for attendance marking.
- No additional hardware required as the system can run in any android/iOS device.
- The lead time taken to enrol an attendee is less than 5 seconds.
- Time taken to mark selfie-based attendance for Staff (1: N) is 2 seconds.
- Time taken to mark attendance of a class having 50 students in less than 2 minutes (N: N).
- Face Matching & Liveness check accuracy is 100%.
- Capability to perform period to period attendance marking.
- Contact less and safe, Attendance can also be marked from 4 feet distance.
- Provides a unique dashboard to each department, which can help in viewing attendance trends and taking administrative calls.
Más información
FRS Concept notehttps://store-images.s-microsoft.com/image/apps.39313.930e53e2-e89f-4c73-9b54-32af8d68de09.3ac936c7-4771-46a6-918b-a9284249c996.629caf4a-93f6-4ac0-9825-5cd11f4871f7
https://store-images.s-microsoft.com/image/apps.39313.930e53e2-e89f-4c73-9b54-32af8d68de09.3ac936c7-4771-46a6-918b-a9284249c996.629caf4a-93f6-4ac0-9825-5cd11f4871f7
https://store-images.s-microsoft.com/image/apps.55085.930e53e2-e89f-4c73-9b54-32af8d68de09.3ac936c7-4771-46a6-918b-a9284249c996.d365bd3e-cf3e-423c-8e39-65be2d4dcce3