vipimo
Duka
Chipset: Hi3516DV300
Mfumo: Android system
RAM: 16G EMMC
Image sensor: 1/2.7″ CMOS
Lens: 4.5mm
Camera Parameters
Kamera: 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
urefu: 1.2-2.2 M, angle adjustable
umbali: 0.5-2 Mita
View angle: Vertical ±40 degree
Reco.Time: <500ms
joto
Range: 30-45(℃)
Accuracy: ±0.1(℃)
umbali: 0.3-0.8m
Response time: <300ms
interface
Internet interface: RJ45 10M/100M Ethernet
Weigand port: Support input/output 26 na 34
Alarm output: 1 channel relay output
USB bandari: 1 USB bandari (Can be connected to ID identifier)
General
Power input: DC 12V/3A
matumizi ya nguvu: 20W(MAX)
Kazi joto: 0℃ ~ + 50 ℃
Unyevu: 5~ 90%, no condense
Vipimo: 123.5(W)84(H)361.3(L)mm
Uzito: 2.1KILO
Column aperture: 33mm
F-8081D model Accurate Infrared Thermal Imaging Temperature Detection Intelligent Face Recognition System is a multi-purpose human body temperature measurement device developed by Shenzhen Seabreeze SmartCard Co.,Ltd, Accurate Temperature Measurement + Face Verification + Mask Identify. The use of facial recognition and infrared temperature measurement, reduce human contact, reduce the spread of disease. Automatically register and record information, avoid manual operation, improve efficiency and reduce missing information. Support mid-range temperature measurement and real-time warning of high temperature. Support binocular live detection. Support electronic voice broadcast. It is very suitable for occasions with heavy traffic, such as sidewalks, residential areas, viwanda, shule, airports, docks, stations, mbuga pumbao, na kadhalika.
Vipengele
- Non-contact automatic body temperature detection, brush human face and perform high-precision infrared human temperature acquisition at the same time, fast and high effect
- Aina ya kipimo cha joto 30-45 (℃) Accuracy ± 0.3 (℃)
- Automatically identify unmasked personnel and provide real-time warning
- Support temperature data SDK and HTTP protocol docking
- Automatically register and record information, avoid manual operation, improve efficiency and reduce missing information
- Support mid-range temperature measurement and real-time warning of high temperature
- Support binocular live detection
- Unique face recognition algorithm to accurately recognize faces, face recognition time <500ms
- 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)
Fung
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