How much does the multi-functional facial recognition alcohol detection key cabinet cost

XMR-07Facial recognition alcohol detection key cabinetProduct Features
1.1 Accurate temperature measurement! The temperature measurement accuracy of XMR-07 can reach ± 0.3 ℃; (Environmental requirements: Indoor temperature range of 15 ℃~35 ℃, no heat source impact, distance of 40~70cm)
1.2 Alcohol testing is accurate! The fuel cell type alcohol electrochemical sensor is used, and the product is calibrated before leaving the factory. It has the advantages of low power consumption, high precision, sensitivity, strong anti-interference ability, and good stability

1、 Product Features

1.1 Accurate temperature measurement! The temperature measurement accuracy of XMR-07 can reach ± 0.3 ℃; (Environmental requirements: Indoor temperature range of 15 ℃~35 ℃, no heat source impact, distance of 40~70cm)

1.2 Alcohol testing is accurate! The fuel cell type alcohol electrochemical sensor is used, and the product is calibrated before leaving the factory. It has advantages such as low power consumption, high precision, high sensitivity, strong anti-interference ability, and good stability.

1.3 Quick recognition! Accurate identification! XMR-07 has a built-in 1.2T NPU computing power and adopts the algorithm (Megvii FacePass). The entire process (tracking+binocular live+recognition) only takes 0.1 seconds, with an accuracy of over 99.9%;

1.4 Mask wearing recognition XMR-07 can recognize wearing masks/covering faces in large areas, achieving identity recognition without removing masks;

The XMR-07 can provide sound and light reminders or warnings to individuals who are not wearing masks or experiencing high temperatures through voice and screen communication, and upload data to the server;

1.6 Openness of underlying protocols, enabling integration with third-party platform XMR-07 to open up underlying protocols and third-party development companies, transmitting data to the government platform according to standards, and achieving joint prevention and control;

1.7 Following GB28181 and GA1400 standards, XMR-07 follows GB28181 and GA1400 to achieve national standard access to smart communities and smart parks;

Based on the Linux 4.4 system environment, it has the characteristics of high security, good stability, and high cost-effectiveness.

2、 Facial recognition algorithm

Category Megvii FacePass 1.3.1 (720P input)

Detect minimum face size of 20 * 20 pixels

Identify minimum face size of 50 * 50 pixels (without live recognition)

80 * 80 pixels (with live recognition)

Minimum face size for attribute recognition is 20 * 20 pixels

Facial recognition angle yaw angle yaw [-35 °~+35 °]

Pitch angle [-35 °~+35 °]

Roll angle [-35 °~+35 °]

Algorithmic facial database support

(Hardware cooperation required) Minimum facial database: 10W/Recommended facial database: 1W

Attack missed detection rate with a human pass rate of 99.5% for live recognition accuracy

Electronic screen 0%

Printing paper 0.24%

Copperplate paper 0.83%

Photo 0.43%

Non human mask 0.53%

Keying 0.34%

Under the standard environment of facial recognition accuracy, with a database of 10000 people:

Over 99% @ 0.1% misidentification

Recognition speed

(1: N) Face detection time<25ms<>

Face detection and tracking time<1ms<>

Bilateral live<20ms<>

Feature extraction time<30ms<>

Face search takes time

（1）<20ms（1w>

（2）<40ms（2w>

（3）<90ms（5w>

（4）<180ms（10w>

3、 Alcohol measurement indicators

Project indicators and parameters

Alcohol sensor type, electrochemical fuel cell type, response time ≤ 20S

measurement range
（1）0 ~0.2�C

（2）0 ~2.0‰BAC

（3）0 ~200mg/100ml

（4）0 ~2.0g/l

（5）0 ~1.00mg/l

Error in indication of alcohol gas concentration range C/(mg/l)

（1）C < 0.200±0.015mg/l

（2）0.200 ≤ C < 1.000±5%

（3）C ≥1.000±20%

Calibration cycle of 6 months or 1000 times (whichever comes first)

Working temperature range -5 ℃~45 ℃

Storage temperature range -20 ℃~50 ℃

Reference working environment conditions: temperature: 20 ℃~± 5 ℃, humidity:<80% RH,<>

Atmospheric pressure: 86kpa~106kpa

Communication method (DC3.0V) TTL serial communication

Blowing detection is available

Module power supply voltage DC 4~5.5V

4、 Facial recognition alcohol detection key cabinetSpecifications

hardware

CPU dual core ARM 1.5G

NPU1.2 Tops， Support INT 8/INT 16

1GB of memory

Storage 8GB

Operating System Linux 4.4

8-inch IPS LCD display screen, resolution: 800 * 1280

Appearance Material Sheet Metal Shell, Tempered Glass Display Panel

5、 Performance

Identify heights of 1.2-2.2 meters

Recognition distance 0.3-4 meters

Face angle of 30 degrees left and right, 30 degrees up and down

Recognition technology includes near-infrared liveness detection and embedded visible light facial recognition, suitable for most indoor and outdoor environments, and can quickly recognize while moving

Recognition speed facial detection tracking 20ms, full process recognition once less than 100ms

Status display voice broadcast

The facial database supports the most 10W base library, and it is recommended to use a 1W base library

Other identification methods include whether to wear a safety helmet, whether to wear a mask, and facial expression recognition

Main control board interface

Network interface: 1 RJ45 10/100M adaptive Ethernet port

Expansion interface: 1 USB interface, 1 TTL serial port, 1 RS232/485 serial port, 1 Wiegand channel, 1 relay

Light sensing signal support

Supplement light signal 1 channel supplement light signal output

Power interface DC 12V input

Binocular camera parameters

Dual camera B/W, HDR 2 million pixels, automatic burst light, automatic white balance, automatic backlight optimization

Sensor GC2093/GC2093

Frame rate black and white color 30 frames, no ghosting

Infrared lamp spectrum 650nm/850nm ± 10nm

Effective pixels 1920 * 1080 30fps/1920 * 1080 30fps

Lens 4.3MM D=70.3 ° H=63 ° V=38 °/4.3MM D=70.3 ° H=63 ° V=38 °

Pixel size 2.8um X 2.8um/2.8um X 2.8um

Aperture F2.0/F2.0

Signal to Noise Ratio 42.6dB/TDB

Wide dynamic range of 105dB/TDB

Interface type MIPI

Alcohol measurement module parameters

Type of alcohol sensor: electrochemical fuel cell type

measurement range
（1）0 ~0.2�C

（2）0 ~2.0‰BAC

（3）0 ~200mg/100ml

（4）0 ~2.0g/l

（5）0 ~1.00mg/l

Sensor accuracy 0.01mg/L

Printing function (optional) to print test results and facial images during testing

Temperature measurement module parameters

Temperature measurement standard: Environmental temperature range of 15 ℃~35 ℃

Temperature measurement standard conditions: no wind, no sunlight, no heat source reflection interference environment

Suggested calibration cycle every 1000 times

Fuel cell lifespan of 3 years

Conventional Parameters

The default key storage space for the key compartment is 20 compartments, and other key compartments can be customized in terms of quantity and size

Equipment operating temperature -10 ℃ -+55 ℃ (equipment operating temperature does not mean accurate temperature measurement)

Working humidity: 10-90% relative humidity, no condensation

Power supply DC12V/4A

Equipment power consumption ≤ 30W

Equipment size 600 * 500 * 120 mm (width * height * depth) (excluding wall bracket)

Net weight of equipment 15kg

Including packaging weight 25KG

Package dimensions

Installation method supports wall mounted and seat mounted installation

6、 Application scenarios

The device provides standard hardware protocols and offers free platform docking technical support.

Pre job alcohol detectors can be applied to many industries that require ensuring that employees do not drink alcohol before work, in order to ensure work safety and improve work efficiency. The following are some of the main industries where pre employment alcohol testers can be applied. Although it is not possible to list the exact 50 industries, here are some of the main and common areas:

Transportation industry:

Public transportation company

Subway system

taxi service

logistics company

railway system

airline

Freight services

Construction and Engineering Industry:

Construction Engineering Company

Civil engineering construction unit

Mechanical Engineering Company

Electrical Engineering Company

Pipeline Engineering Company