Face recognition machine

KeeperTek face recognition machine supports binocular liveness detection, recognizes faces quickly and accurately, is compatible with card swiping and QR code verification, adapts to complex light environments, is stable and reliable, and can be used for access control, attendance and identity verification.

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8-inch face recognition card swiping all-in-one machine ultra-thin KT-FR011.png

8-inch face recognition card swiping all-in-one machine ultra-thin KT-FR011

Release time: 2026-04-02
Number of views: 1111
Brand: KeeperTek
Origin: China
Product price: Contact us
Product details

8inch face identify brush Ultra-thin card all-in-one machine KT- FR011

Technical parameters

Processor: Domestic YiZhi chip, dual-core processor + 1G memory + 16G EMMC

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 focal length

WiFi module: 2.4GHz frequency band, IEEE802 b/g/n protocol; 5GHz frequency band, IEEE802 a/n/ac protocol

Card types that can be swiped: mifare one (M1), S50, S70, NTAG2xx and other 13.56MHz frequency band cards, TK, EM and other series 125KHz frequency band cards (IC/ID are supported)

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

Storage capacity: 160,000 snapshot records

Face capacity: 24,000

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, 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)

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: -20℃-55℃

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

Equipment power: 20W(MAX)

Salt spray level: Rp6 or above

Antistatic: contact ±6KV, air ±8KV

Power supply: DC12V/2A

Protection level: IP42

Screen specifications: 8-inch high-definition IPS screen

Equipment size: 215.22*130*18mm


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 local storage in TF card, with continuous storage of pictures for 1 year and videos for 1 month or longer (depending on the capacity of the optional TF card)

Mean running time between failures MTBF>50000h

Supports 24,000+ face comparison libraries and 160,000 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: -20℃-55℃

Support anti-tamper alarm

Supports docking voice and video cloud intercom

Support touch screen front-end management and configuration

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 code stream and I frame interval settings

Support partial blocking of video area

Support ROI encoding

Automatic white balance, manual white balance available

Support maximum exposure time setting

Support mobile phone monitoring settings

Support 2D noise reduction and 3D noise reduction

Supports recording schedule time period and upload method settings

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


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