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Home > products > Wall Mounted Breathalyzer > Face Recognition Wall Mounted Breathalyser Machine Silvery For Enterprise

Face Recognition Wall Mounted Breathalyser Machine Silvery For Enterprise

Product Details

Place of Origin: CHINA

Brand Name: Fengzhaowei

Certification: CE/FCC/ROHS/PSE

Model Number: X70

Payment & Shipping Terms

Minimum Order Quantity: 1

Price: To be discussed

Packaging Details: To be discussed

Delivery Time: 2-35work days

Payment Terms: T/T

Supply Ability: 2000 pcs per month

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Highlight:

Face Recognition Wall Mounted Breathalyser

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Wall Mounted Breathalyser Machine

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Silvery Wall Mounted Breathalyser

Name:
Wall Mounted Breathalyser Machine
Storage:
8G
Warranty:
1 Year
Weight:
1600g
Color:
Silvery
Sensor:
Fuel Cell Sensor
Name:
Wall Mounted Breathalyser Machine
Storage:
8G
Warranty:
1 Year
Weight:
1600g
Color:
Silvery
Sensor:
Fuel Cell Sensor
Face Recognition Wall Mounted Breathalyser Machine Silvery For Enterprise

Face recognition Silvery Wall Mounted Breathalyzer For Enterprise Government High Risk Enterprises Usage

 

Hardware
CPU:Dual core ARM 1.5G
NPU:1.2 Tops, support INT 8/INT 16
internal storage:1G
Storage:8G
operating system:Linux 4.4
display:8-inch IPS LCD, resolution: 800 * 1280
Appearance material:Aluminum alloy shell, tempered glass panel

 

Face Recognition Wall Mounted Breathalyser Machine Silvery For Enterprise 0

 

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)