User's Manual

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⚫ screen: 8 "IPS, 1200*1920
⚫ CPU: Quad Core A17.
⚫ Memory: 2GB.
⚫ Read only memory: 8GB EMMC.
⚫ Operating system: Android 7.1.2.
⚫ I / O port: USB (relay output) for the gate;.
⚫ Communication: wired or wireless network.
⚫ Power input: DC 12V.
⚫ Working temperature: 0 ℃ - 50 ℃ (for temperature measurement), - 10 ℃ - 50 ℃ (only for
face recognition).
⚫ Working humidity: < 90% RH.
⚫ Working environment: indoor, no wind, no direct sunlight.
⚫ Deployment mode: support offline operation, or managed by cloud platform and LAN
Platform; network management; installation free.
⚫ Working mode: identification mode, only temperature measurement mode, full open
identification mode.
◼ Identity recognition mode: after the face + body temperature pass, the door will
automatically open and pass, and the stranger will automatically alarm and record; after the
body temperature is judged successfully, enter the face recognition mode, and the stranger
will automatically recognize and upload, which is suitable for recognition and verification
scheme.
◼ Unique temperature measurement mode: face recognition only measures temperature and
records photos of the measurement personnel. It is suitable for large traffic scenarios.
◼ Full open recognition mode: full pass, automatic face recognition, temperature
measurement. Anyone passing the machine will record their face and body temperature. No
platform to use.
⚫ Installation mode: wall mounted, floor type (triangle support, square plate base support),
desktop, gate.
2. Instructions for use
⚫ The installation height range of 1.3-1.4 meters (from the ground to the top of the tablet);
⚫ Installation Angle, with an elevation Angle of 5-10 degrees, suitable for people of different heights;
⚫ The temperature measurement distance is in the range of 30-80 cm, the short person is close to the
point, the tall person is far away;