Shenzhen Fengzhaowei Technology Co.,Ltd

8 years of factory experience in alcohol testers; 3,000sqm workshop

Manufacturer from China
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2 Years
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Column Silvery Breath Alcohol Tester Wall Mount For Enterprise Government

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Shenzhen Fengzhaowei Technology Co.,Ltd
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City:shenzhen
Province/State:guangdong
Country/Region:china
Contact Person:MissYan
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Column Silvery Breath Alcohol Tester Wall Mount For Enterprise Government

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Brand Name :Fengzhaowei
Model Number :X70
Certification :CE/FCC/ROHS/PSE
Place of Origin :CHINA
MOQ :1
Price :To be discussed
Payment Terms :T/T
Supply Ability :2000 pcs per month
Delivery Time :2-35work days
Packaging Details :To be discussed
Name :Breath Alcohol Tester Wall Mount
Interface Type :MIPI
Device power consumption :≤16W
Installation method :Support wall mounted, seat mounted and column mounted installation coverage
Package size :2.5*17*12 cm
power supply :DC12V/2A
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Wall Hanging Or Column Silvery Wall Mounted Breathalyzer For Enterprise Government High Risk Enterprises Usage

Features

1. Support face recognition traffic verification.

2. Support alcohol detection and temperature test verification.

3. Support the black and white list, the blacklist can customize the setting prompt content

4. Provide a complete device data interface, which can be connected independently

Column Silvery Breath Alcohol Tester Wall Mount For Enterprise Government

Temperature measurement module parameters
Temperature measurement standard environmental temperature 0°C~35°C
Temperature measurement standard No wind, no sunlight, no heat source reflection interference environment
Effective temperature measurement distance 30cm~70cm
Temperature measurement accuracy Under the standard conditions, it can reach ±0.3

2.Software parameter
Category View Facepass 1.31 (720p input)
Detect the minimum face size 20 * 20 pixels
Recognize the minimum face size 50 * 50 pixels (recognition without living body)
80 * 80 pixels (recognition with living body)
Face recognition angle Under standard environment, 10000 person database: more than 99% @ 0.1% misidentification
recognition speed

Face detection time<25ms

Face detection and tracking time<1ms

Binocular living body<20ms

Feature extraction time<30ms

Time consuming for face search

(1:N)
<20ms (1W plate library)

<40ms (2W plate library)

<90ms (5W plate library)

<180ms (10W plate library)

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