Face recognition machine

8inch face identify brush All-in-one card machine outdoor waterproof KT- FR010

Technical parameters

Processor: Dual-core ARM Cortex-A7 and RISC-V MCU

Operating system: Linux operating system

Storage: 1GB RAM + 8GB eMMC 

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

Imaging device: 1/2.8" Progressive Scan CMOS

Lens: 4.5mm focal length

WiFi module: 2.4GHz WiFi SoC chip, integrated IEEE 802.11b/g/n baseband and RF circuit, maximum 72.2Mbit/s physical layer rate

Card swiping module: 13.56MHz, supports Mifare S50, S70 cards, ultralinght cards, NTAG cards, DESFire D21, D41, D81, non-contact CPU cards

4G module (optional): supports LTE-FDD, LTE-TDD, DC-HSPA+, WCDMA, EDGE, GPRS and other network standards, with a maximum downlink rate of 160Mbps and a maximum uplink rate of 60Mbps

QR code module (optional): 640 (horizontal)

Touch screen module: capacitive multi-touch screen

Speaker: Voice playback content can be customized

Recognition height: 1.2~2.3 meters, angle adjustable

Recognition distance: 0.5~2.5 meters

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

Recognition time: less than 0.3 seconds

Identification record capacity: 80000

Face capacity: 30000

Power input: DC12V/2A

Network interface: 1 RJ45 10M/100M adaptive Ethernet port, customizable Gigabit network port

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

Alarm interface: 1-way fire alarm input

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

USB interface: 1 USB interface

Camera: Binocular camera, G+P 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)

Wide dynamic range: 120db, ISP algorithm partial exposure of face

Video encoding: H.265 Main Profile encoding/H.264 BP/MP/HP encoding/MJPEG encoding

Working temperature: -30℃ - 60℃

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

Equipment power: 20W(MAX)

Salt spray level: Rp6 or above

ESD: contact ±6KV, air ±8KV

Power supply: DC12V/2A

Protection level: IP66

Screen specifications: 8-inch high-definition IPS screen, resolution 1280*800

Equipment size: 242 (length) * 133 (width) * 22 (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 0.3s

Built-in domestic CPU

Using LINUX operating system, the system is stable

The H.265 encoding format video stream is directly connected to NVR and other storage devices through ONVIF protocol and GB28181 protocol.

Supports TF card expansion storage, pictures can be stored continuously for 1 year, videos can be stored continuously for 1 month or longer

Mean running time between failures MTBF＞50000h

Supports up to 100,000+ face comparison libraries and 90,000 recognition records

Rich interface protocols, supporting TCP/IP, UDP, RTP, RTSP, RTCP, HTTP, DNS, DDNS, DHCP, SMTP, UPNP, MQTT protocols under Windows/Linux and other platforms

Working temperature: -30℃-60℃

Ultra-thin body, exquisite industrial design

Support anti-tamper alarm

Supports front-end touch screen personnel registration, equipment configuration, and information query

Supports spliced ??structure to expand QR code reading, ID card reading, 4G communication, temperature measurement and other functions

Support microphone input audio and speaker output audio

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

8-inch IPS full-viewing HD display, no smearing or delay in images

Automatic gain and automatic white balance allow the true color of the image to be restored naturally

Built-in black light level sensor dedicated for video surveillance, more accurate low-light recognition

3D noise reduction and fog penetration technology make monitoring images under low illumination clearer and more detailed

Support partial blocking of video area

Support ROI encoding

Automatic white balance, manual white balance available

Support 2D noise reduction and 3D noise reduction

Supports video brightness, contrast, hue, saturation, and gamma adjustment

Support setting the maximum automatic exposure time

Supports face intelligent exposure and face intelligent enhancement settings