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AI Non-contact wrist temperature detection face recognition camera with mask terminal facial recognition attendance

  • Support human motion tracking exposure in strong backlight environment, support machine vision optical wide dynamic ≥80dB
  • Adopt Linux operating system for better system stability
  • Rich interface protocols, support SDK and HTTP protocols under multiple platforms such as Windows / Linux
  • 7-inch IPS HD display
  • IP34 rated dust and water resistant
  • MTBF> 50000 H
  • Support 22400 face comparison library and 100,000 face recognition records
  • Support one Wiegand input or Wiegand output
  • Supports fog through, 3D noise reduction, strong light suppression, electronic image stabilization, and has multiple white balance modes, suitable for various fields
  • Scene demand
  • Support electronic voice broadcast (normal human body temperature or super high alarm, face recognition verification results)
  • -15 ℃ to + 60 ℃ environment long-term stable work
Weight 30 kg
Dimensions 360 × 160 × 90 cm

New Optional Function

Card Access Control Function

In addition to face recognition to open the door, it supports the optional ID

card recognition function, and can also control the opening of the door.

WiFi Connection Function

The first use requires a network connection to enter the background settings, and then you can use WiFi connection.

AI Face Recognition Fever Screening Terminal
Far Distance, High-precision, Multi-person, Real-time, AI Detection
Fever alarm + mask detection
Face recognition contrast open the door
Attendance registration
Multi-language display and voice prompt

Face Recognition To Open The Door

Multiple door opening methods can be set, and company

employees can also open the door in comparison with the face database.

Please wear a mask

Mask detection mode, when you are not wearing a mask, you will be prompted to “wear a mask”

Face Attendance Registration

Compared with the face recognition of the face database,

it can be used for company employees to register and attend work.

 

Companies, schools, hospitals, etc.

Combining AI intelligence to achieve non-contact rapid detection of human body temperature,

Face recognition, ID recognition, access control, attendance, etc.

16GB Memory + 22400 Face Library

Face entry system, whitelist and blacklist can be set.

Those who have not entered will capture and save their profile pictures and temperature measurement results.

Imported From Germany Temperature Measurement Module

2 million effective pixels / HD resolution 1920*1080

Support PC CMS、Mobile APP

Real-time video preview output comparison information Background data viewing and management

 

Weight 30 kg
Dimensions 360 × 160 × 90 cm

Specifications

Specification download (LS-FR104-T)

Model LS-FR104-T
Hardware
Chipset Hi3516DV300
System Linux operation system
RAM 16G EMMC
Image sensor 1/2.7″ CMOS
Lens 6mm
Camera Parameters
Camera Binocular camera supports live detection
Effective pixel 2Mega pixel,1920*1080
Min. lux Color 0.01Lux @F1.2(ICR);B/W 0.001Lux @F1.2
SNR ≥50db(AGC OFF)
WDR ≥80db
Face Recognition
Height 1.2-2.2 M, angle adjustable
Distance 0.5-2 Meters
View angle  Vertical ±30 degree
Reco. Time <500ms
Function Support 22400 faces database and 100000 records
Temperature
Range 30-45(℃)
Measurement mode Non-contact wrist temperature measurement
Accuracy ±0.3(℃)
Distance ≤0.5M
Response time <300ms
Interface
Internet interface RJ45 10M/100M Ethernet
Weigand port Support input/output 26 and 34
Alarm output 1channel relay output
USB port 1USB port (Can be connected to ID identifier)
General
Power input DC 12V/3A
Power consumption 20W(MAX)
Working temperature -15℃~ +60℃
Humidity 5~90%, no condense
Dimension 154(W) * 89(H) *355.4(L)mm
Weight 2.1 kg
Column Aperture 33mm

Software download

download”sVMS2000″Software

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