The system uses multiple identification methods including biometric fingerprint scanning, RFID card reading, and facial recognition.
Attendance data is securely stored in the cloud, allowing for easy access and real-time updates from anywhere.
Yes, the system sends automated SMS notifications for attendance records, employee logins, and system updates.
Yes, it features a simple interface designed for easy management, setup, and operation, suitable for both small and large businesses.
The system can register up to 5,000 faces, with an optional upgrade to 50,000 faces.
The WiFi Cloud Attendance System requires a DC12V power supply.
The face recognition accuracy is 99.70%, ensuring reliable identification.
Yes, it is versatile and suitable for offices, factories, schools, and other organizations needing accurate attendance tracking.
The system can operate locally, allowing attendance data to be recorded even without an internet connection, which will sync once the connection is restored.
Yes, the system supports external access control readers via Wiegand 26/34 input/output.
It utilizes multi-task cascaded convolutional neural network technology for dynamic face detection, tracking, and recognition.
The system can be installed in various ways including wall mount, desktop stand, and optional brackets for turnstiles or floor stands.
Yes, the system supports exporting Excel attendance reports via a USB disk.
The recognition speed is ≤0.2 seconds, and it supports single user and multi-user recognition (up to 5 users at the same time).
Yes, it includes alarm features for door open/close alerts, forced entry alerts, and time permission control.
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