2MP IR Face Recognition Attendance Machine With Temperature
2MP IR Face Recognition Attendance Machine With Temperature
Pass Management Terminal Of Temperature Measurement And Face Recognition
Quick Details
| Processor | CPU | ARM Cortex A7 CPU,main frequency up to1GHz,computing power up to1.2Tops |
| Local Storage | EMMC 8G | |
| Interface | Network module | Support Ethernet, WIFI(WIFI) |
| Audio | Support 8R/2W speaker | |
| USB port | 1 USB OTG,１ USB HOST standard A port | |
| Serial communication interface | 1 RS232 serial port | |
| Relay output | 1 enabling signal output | |
| Wiegand | One Wiegand 26/34 output, one Wiegand 26/34 input | |
| Upgrade button | Support Uboot upgrade button | |
| Wired network port | 1 RJ45 Ethernet socket |
Product introduction:
DBFV-06T(Linux Type)Pass Management Module of Temperature Measurement & Face Recognition( Vertical),uses ARM Cortex-A7 CPU,equipped with industrial-class binocular camera, face living body recognition technology. Support face-with-mask recognition, built-in infrared thermal imaging module and IC card reader, and support ID card reader, fingerprint reader and other peripheral extensions. It can be applied to gate passages and attendance system to achieve safe and efficient access control for personnel.
Product Features
1) 8-inch IPS full-view LCD display screen.
2) Industrial-grade appearance, stable and reliable.
3) Supports 20,000 face database. The 1: 1 comparison recognition rate is more than 99.7%, the 1: N comparison recognition rate is more than 96.7%@0.1% FAR, and the live detection accuracy rate is 98.3%@1% FRR. Face recognition pass speed is less than 1 second.
4) Supports accurate face recognition and comparison while wearing a mask.
5) Using industrial-grade binocular wide dynamic camera, night infrared and dual LED fill light.
6) It adopts ARM Cortex-A7 CPU, neon light technology and integrated FPU, built-in convolutional neural network accelerator NPU, and the computing power is up to 1.2Tops.
Applications:
Applicable to communities, office buildings, schools, hotels, scenic spots, transportation hubs and other public service places.
Appearance and size
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