Timetera AI Face Recognition Time Attendance & Door Access System TT52AI
The TT-52ai face recognition time attendance system is a cutting-edge AI face recognition time attendance terminal designed for small and medium-sized businesses. With its advanced AI face recognition time attendance technology, this device offers fast and accurate face recognition time attendance even in low-light environments and can detect faces even when the user is wearing a mask. Additionally, the user face recognition can store up to 5,000 records & 500,000 transaction records providing ample storage for growing businesses. The device features a large storage capacity and is equipped with an NPU processor for enhanced speed and performance. With its door access function and easy-to-use software, the TT-52ai face recognition time attendance offers a reliable and convenient solution for time and attendance management and access control.
Products Features:
- Our Face machines with developed face algorithm, fast and accurate identification, achieved the advanced level of face recognition.
 - AI dynamic cameras, can even do the identification at night time with mask on.
 - Reminder of on and off duty, and late in and early out.
 - Optical Dark Backlight Sensor.
 - WIFI Build in
 - Software / Cloud Version Attendance
 - AI Face, ID Cards, Password for Attendance
 - Photo & Video not recognized
 - Big color & Sensitive touch screen
 - Door Access Ready
 - Plug & Play
 - AI Camera able to verify with : Wear Glasses, Makeup, Mustache, Wear Mask, & Wear Hijab
 - Multiple Shift : YES
 - Change Shift : YES
 - Shift Available : Flexible Working Hours, Working time calculation, O.T time calculation & etc…
 

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BR                                21549                            
VN                                13132                            
US                                9533                            
IN                                4733                            
AR                                3235                            
MY                                2341                            
GB                                1780                            
CN                                1563                            
        
        