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OET-573B-HMQR-WR

7" face recognition terminal

  • Embedded Linux OS ensures stable and reliable operation.
  • Built-in QR code module, feature-rich and highly-integrated.
  • With UNV deep learning algorithm model, face recognition accuracy rate > 99%, false rate < 1%, fast face recognition speed (up to 0.2s).
  • Built-in deep learning chip allows local offline recognition, 50,000 face (1:N) capacity.
  • 2MP WDR camera with intelligent metering delivers high quality images in a variety of complex light conditions.
  • RGB+IR dual-camera liveness detection function effectively prevents spoofing of images or videos.
  • Integrated offline speech synthesis engine supports broadcasting person name after successful authentication and customizing various voice prompts.
  • With advertising mode support, user can customize the time to switch to the next picture or video and view playback time statistics.
  • Supports temperature measurement (an external temperature measurement module is required) and mask detection for pandemic prevention and control.
  • Supports door opening by face, card, password, QR code, etc.
  • Supports device management in the local interface and web interface, such as personnel entry, parameter configuration, and system maintenance.
  • Supports connecting to a security module via RS485 to prevent door opening by tampering the device.
  • Supports video collection and connecting VMS/NVR devices via ONVIF.
  • Built-in 16G EMMC front-end storage with capacity of 200,000 records, stable and reliable.
  • Alarm functions such as tamper protection, door open timeout, and authentication over times; supports connecting fire alarm devices to trigger the door to open in case of fire signal input.
  • Industrial-grade design presents a classy and elegant appearance.
  • Provides multiple full-fledged APIs to enable management ofpersonnel, records, configurations, etc. on third-party platforms.
SKU: 0235C68W Categories: ,
Description

Parameter

Description

Operating system

Linux

Face recognition accuracy rate

>99%

Face recognition time

200ms

Face capacity

50,000

Card capacity

50,000

Storage

16GB

Event capacity

200,000 events (without images); 50,000 events (with images)

Common authentication mode

Face allowlist (1:N)

Number allowlist (1:N)

Door opening mode

Face, password, QR code, card, or any combination of them

Communication mode

1×100Mbps Ethernet interface

Card support

Mifare card, USIM NFC card

Personnel management

Supports adding, updating and deleting face libraries and their members

Record management

Supports saving records locally and uploading records toa third-party platform in real time

Interface

Network port×1, Wiegand input×1, Wiegand output×1, RS485×1, alarm input×2, alarm output×1, door lock interface×1, door sensor interface×1, door button×1

Network

Two network modes:
1. Connects to a Wi-Fi
2. Provides a hotspot for other devices

Power

DC 12V±25% input

Touch screen

Size: 7-inch
Resolution: 600×1024

Camera

2MP RGB+IR dual-camera

Illumination

IR

Dimensions (L×W×H)

260.2mm × 110mm × 23.5mm

Mount method

Standard metal wall mount, supports bare installation and 86-box installation

Operating environment

-20°C to 60°C; <95%, non-condensing

Application scenario

Indoor/outdoor