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Algorithm | Living Binocular | ||||
Size | 24cm*12.8cm*2.5cm | Screen | 8 inch | ||
Resolution | 1280 * 800 | Power supply | DC 12V ± 10% | ||
Operating system | Android 5.1 | Power consumption | 15 W | ||
CPU | High-performance 32-bit 4-core ARM chip | ||||
Dual cameras | USB 200W pixel wide dynamic, anti-backlight 1 / 3-inch image sensor, 4.2mm focal length, F2.4 aperture | ||||
Communication mode | TCPIP, support multiple deployment methods for public cloud, private cloud, LAN | ||||
Storage | Support storage of 10,000 face photos and 1 million recognition records | ||||
Output method | Support 232 serial port, switch value, Wiegand output, | ||||
Interface | 485 interface*1, 232 interface*2, USB*2, OTG*2, 232 interface*1, on/off*1,access switch*1, WG output*1, WG input*1, door button interface / fire interface | ||||






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