Face recognition machine

4.3inch people Face identify brush Card integrated machine KT- FR002

Technical parameters

Processor: Dual-Core ARM Cortex-A7, @1.0GHz

Operating system: Linux operating system

Storage: Support TF card storage (optional)

Camera: Binocular, 2.1 million effective pixels, 1920*1080

Imaging device: 1/2.8" Progressive Scan CMOS

Lens: 4.5mm

Card swiping module: optional, 13.56MHz, ID card serial number, Mifare, NFC

Wifi module: IEEE 802.11b/g/n standard, supports 2.4GHz frequency band, speed range 1Mbps-150Mbps

Touch screen: support, capacitive multi-touch screen

Speaker: standard, voice playback content can be customized

Recognition height: 1.2~2.2 meters, angle adjustable

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

Storage capacity: 60,000 snapshot records

Face capacity: 20,000

Power input: DC12V/2A

Network interface: 1 RJ45 10M/100M adaptive Ethernet port

Wiegand interface: 1 Wiegand interface output, 1 Wiegand interface input

Alarm interface: 1 fire alarm input, 1 alarm output

Door sensor interface: 1 door sensor interface input

Door opening interface: 1 door opening interface input

Doorbell interface: 1 doorbell interface output

Door lock interface: 1 door lock interface output

Communication interface: 1 RS485 communication interface

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

Effective pixels: 2.1 million effective pixels, 1920*1080

Minimum illumination: color 0.01Lux @F1.2 (ICR); black and white 0.001Lux @F1.2 (ICR)

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

Screen resolution: 480*272

Working temperature: -20℃ - +55℃

Working humidity: 0~90% relative humidity, no condensation

Equipment power: 10W (MAX)

Salt spray level: Rp6 or above

Antistatic: contact ±4KV, air ±8KV

Power supply: DC12V/2A

Protection level: IP42

Screen specifications: 4.3-inch capacitive multi-touch screen

Equipment size: 160 (length) * 88 (width) * 17 (thickness) mm

Features

Support binocular live body detection

Supports face tracking and exposure of people moving in strong backlight environments

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

Built-in domestic CPU

Using LINUX operating system, the system is stable 

Mean running time between failures MTBF＞50000h

Supports up to 20,000+ face comparison libraries and 60,000 recognition records

Working temperature: -20℃-55℃

Indoor IP42 waterproof and dustproof

Support anti-tamper alarm

Support microphone input audio and speaker output audio

Rich hardware interfaces (I/O, WG26, WG34, RJ45, door sensor, doorbell, door opening, alarm, RS485)

4.3-inch capacitive multi-touch screen, no image smear or delay