Facial recognition crowd management system (MV-FT02) User Manual (Ver A.
Catalog 1. PRODUCT OVERVIEW .......................................................................................................................................... 1 1.1. 1.2. PRODUCT INTRODUCTION ........................................................................................................................................... 1 PRODUCT CHARACTERISTICS ...................................................................................................................................... 1 2.
Product Overview 1. 1.1. Product Introduction Based on the infrared thermal imaging technology, the machine can do face recognition and collects human body temperature at the same time, and the captured pictures are uploaded to the management platform. After face recognition, the access control function can be turned on. High temperature warning threshold can be set.
⚫ 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.
⚫ For temperature measuring equipment, it is limited to indoor use (the ambient temperature is about 16~35℃), and sunlight should be avoided.If it is required to be used outdoors, it is necessary to ensure that the temperature measuring camera module of the temperature measuring equipment avoids light and rain, and the temperature measuring camera module is shielded and protected. ⚫ Do not touch or heat the temperature measuring camera module by hand.
3.2. The wiring diagram 12V AC Adapter DC 5.5*2. 5Plug Android Computer Gate Relay NO COM 3.3. Install the operating Step A: install the base (take out 3 bolts 1, plastic pad 2 and support column 3) and tighten them as shown in the figure above. Step B: adjust the height of the telescopic rod 5. After knob 4 loosens the screw, adjust the height of the telescopic rod to ensure that the total height of the support frame is 1.3-1.
4. Device local settings 4.1. Configure WiFi Use the mouse to configure the wireless network, click the bottom of the face recognition machine interface to return to the desktop, click desktop "^" , enter the interface, select "Settings", select "WiFi", select WiFi and enter the password, and then click "connect" to save the WiFi. The device will automatically get the IP address and connect to neteork , and then click the icon to enter the software.
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5. Use under management platform 5.1. Log in to the cloud platform 1. Open the browser, enter the cloud platform (http://120.196.129.210:18843/), and enter the corresponding account password to log in to the platform. (login temperature terminal software: payment account and password after installation) 5.2.
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6. Deployment scenario 6.1. Distance It is recommended to draw a yellow line on the ground, 0.3-1m away from the device. 6.2.
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FCC Warnning: This equipment has been tested and found to comply with the limits for a Class B digital device, pursuant to part 15 of the FCC Rules. These limits are designed to provide reasonable protection against harmful interference in a residential installation. This equipment generates, uses and can radiate radio frequency energy and, if not installed and used in accordance with the instructions, may cause harmful interference to radio communications.
