7inch people Face recognition all-in-one machine KT- FR006
Processor: Dual-core ARM Cortex-A7
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: 6mm
Card swiping module (optional): 13.56MHz, supports Mifare S50, S70 cards, ultralinght cards, NTAG cards, DESFire D21, D41, D81, non-contact CPU cards
Wifi module (optional): 2.4GHz frequency band, IEEE802 b/g/n protocol; 5GHz frequency band, IEEE802 a/n/ac protocol
Speaker: standard, voice playback content can be customized
Recognition height: 1.2~2.2 meters, angle adjustable
Recognition distance: 0.5~1.5 meters, variable depending on the lens
Recognition time: less than 0.3 seconds
Recording capacity: 80,000 snapshot records
Face capacity: 30,000
Screen brightness: ≥400 cd/m2
Switching output: 1 switching output, other GPIO ports can be customized
Network interface: 1 RJ45 10M/100M adaptive Ethernet port, customizable Gigabit network port
Wiegand interface: 1 Wiegand interface input, 1 Wiegand interface output
USB interface: 1 USB interface as device
Communication interface: 1 RS485 interface
Camera: Binocular camera, 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
Web page configuration: supported
Device remote upgrade: supported
Deployment method: supports public network and LAN use
Working temperature: -30℃ - +60℃
Working humidity: 0~90% relative humidity, no condensation
Salt spray level: Rp6 or above
Antistatic: contact ±6KV, air ±8KV
Power supply: DC12V/2A
Anti-riot level: IK06
Protection level: IP66
Equipment power: 20W(MAX)
Equipment size: 240 (height) * 128 (width) * 28 (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
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 30,000+ face comparison libraries and 80,000 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℃
IP66 waterproof and dustproof
Rich hardware interfaces (I/O, WG26, WG34, RJ45, USB, RS485)
7-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
WhatsApp contact
Scan the QR code and add WeChat
Email contact
Telephone contact
More contact details