Face recognition machine

2.8One-inch face swipe card machine KT- FR001

Technical parameters

Processor: High-performance ARM processor

Operating system: Linux operating system

Card swiping module: 13.56MHz frequency band card recognition, supports ISO/IEC 14443 TypeA, supports optional 125KHz ID card recognition function

WiFi module: 2.4GHz/5GHz WiFi SoC chip, integrated IEEE 802.11a/b/g/n baseband and RF circuit, maximum downlink rate of 72.2Mbps

Ethernet: 100Mbps Ethernet port

Screen: 2.8-inch LCD screen

Touch: Capacitive touch

Recognition distance: 0.3~1.5 meters

Face angle: 30 degrees left and right, 30 degrees up and down

Recognition time: less than 0.5 seconds

Face capacity: 2000

Record capacity: 50000

Power input: DC12V/1A 

Network interface: 1 100M Ethernet port

Wiegand interface: 1 Wiegand output

Door sensor interface: 1 door sensor input

Door opening interface: 1 door opening input

Relay interface: 1 relay output

USB interface: 1 USB2.0 interface (type-C)

Camera: Binocular camera, visible light and near-infrared, supports living body detection

Effective pixels: 1 million effective pixels

Signal-to-noise ratio: ≥50db (AGC OFF)

Wide dynamic range: 100db, ISP algorithm partial exposure of face

Operating temperature: -10℃ to +50℃

Working humidity: 10% ~ 90% relative humidity, no condensation

Equipment power: 10W (MAX)

Protection level: IP42

Power supply: DC12V/1A

Product size: 86*86*17 (mm)

Features

Built-in domestic CPU

·Support binocular live body detection

·Working temperature: -10℃- +50℃

·Using LINUX operating system, the system is stable

·Mean running time between failures MTBF＞50000h

·Support wired network communication and WiFi communication functions

·The device supports binding to the smart access control and attendance management platform by default.

·The host has a built-in card swiping module to support the expansion of ID card swiping functions.

·The device has built-in three-color indicator lights to prompt based on the verification results.

·2.8-inch capacitive touch screen, no image smear or delay

·The device supports front-end touch screen and local login to backend management, query, and configuration of the device.

·Unique face recognition algorithm, accurately recognizes faces, face recognition time is less than 0.5s

·The device body is compact and exquisite, perfectly suitable for the entrance and exit application scenarios of offices and small conference rooms.

·Rich hardware interfaces (USB2.0, relay, door opening input, door sensor input, Wiegand output, etc.)