AttendFy is a face recognition technology-based attendance marking and classroom activity monitoring solution for students, teachers, and other faculty members of an educational center. It is in-built with features like geolocation, passive liveness detection, and accurate timestamps, making it spoof-free and tamper-proof.
It works seamlessly through a regular smartphone, tablet, desktop, or laptop camera, removing the need for specialized biometric hardware. The AI-driven attendance marking and classroom activity monitoring app also offer the following capabilities:
Digital user onboarding with face recognition & passive liveness detection.
Specialized AI or source-based Identity document verification.
Easy integration with an existing platform or device.
A customizable dashboard with multi-level admin access.
Remote attendance marking with face recognition.
Live feed monitoring by designated admin on mobile app/web browser.
Online and offline compatibility - auto-updates upon internet connectivity.
Zero risk of duplication. Eliminates any risk of false ID.
Zero upfront cost and fast integration with a range of smart devices.
Error-free: Eliminates manual errors and time-consuming processes.
It works seamlessly through a regular smartphone, tablet, desktop, or laptop camera, removing the need for specialized biometric hardware. The AI-driven attendance marking and classroom activity monitoring app also offer the following capabilities:
Digital user onboarding with face recognition & passive liveness detection.
Specialized AI or source-based Identity document verification.
Easy integration with an existing platform or device.
A customizable dashboard with multi-level admin access.
Remote attendance marking with face recognition.
Live feed monitoring by designated admin on mobile app/web browser.
Online and offline compatibility - auto-updates upon internet connectivity.
Zero risk of duplication. Eliminates any risk of false ID.
Zero upfront cost and fast integration with a range of smart devices.
Error-free: Eliminates manual errors and time-consuming processes.
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