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7 inch flat face recognition all-in-one machine

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  product description:

  The face recognition series products use 3D facial image collection, and the infrared night vision probe is installed to enable effective face recognition even in the dark.

  3D collection accepts 45 degrees of left and right face rotation and 25 degrees up and down.

  It has passed more than 100,000 facial database tests for up to 2 years, and the algorithm has also been ranked in the forefront of the annual test of the University of San Jose in the United States.

  Embedded powerful CPU, with a main frequency of 630MHZ, can handle 1: 20000 in 0.4 second.

  It supports fingerprint + face mode.

  German TGG company did the industrial design , using magnesium alloy + PC advanced technology + mirror technology, face collection and comparison is like looking in the mirror, it supports 2.8 / 3.5 / 7 inch TFT.

  Features:

  Dynamic face recognition (5000-20000 face database);

  Fixed user face recognition to open the door;

  The visitor ID card opens the door;

  1 second recognition, automatic door opening within 1.5 meters, support offline dynamic face recognition;

We could not find any corresponding parameters, please add them to the properties table

  Parameters:

  Processor: RK3288, quad-core A17, clocked at 1.8GHz

  Pixel: 2 million, wide dynamic, anti-glare

  Memory: DDR3 2GB, maximum support 4GB

  Built-in memory: EMMC 8G, maximum support 128GB

  Display: 7-inch LCD display Screen resolution: 1024 * 600

  Dynamic recognition: Support 1: N comparison of 5000 ~ 20000 face library

  Face detection accuracy rate: ≥99.99% Face recognition accuracy rate: ≥99.7% Face recognition time: <400ms / person

  Identification range: identification distance: 0.5m ~ 2m; identification height: 1.2m ~ 2m

  Offline records: 100,000 offline records

  Infrared somatosensory: support strategy control of supplement lamp

  Algorithm: Support face detection, face tracking, quality evaluation, face comparison

  IO: 4 IO ports

  Serial port: 3 serial ports / UART (2 default TTL, 1 default TTL debug port)

  USB: 6 USB2.0 (one USB OTG)

  Power interface: DC 12V. 5A

  Network communication: single network port, WIFI

  Size: Subject to the actual size of each product

  Material: Aluminum alloy

  Working temperature: -20 ℃ ~ 70 ℃

  Working humidity: 10% ~ 90%

  Power consumption: 20W

  product advantages:

  (1) Industry-leading deep learning algorithm

  Living body detection algorithm to eliminate photo cheating

  Face detection takes about 30ms, the fastest is less than 10ms

  Face feature extraction and face library comparison takes less than 180ms

  Quality evaluation algorithm, time consuming <2ms

  Face recognition accuracy rate> 99.7%

  The combination of algorithm and chip, greatly improve chip power

  (2) Ten thousand level face database, millisecond level recognition

  Supports 1: N dynamic recognition of 5000 ~ 20000 local face database

  It can also be recognized when the network is disconnected, the opening time <1S

  (3) Anti-backlight to meet the needs of more than 90% of the scenes

  A dedicated camera for face recognition is used to greatly reduce the impact of backlighting on the face and ensure the quality of face collection

  (4) Excellent craftsmanship, durable; extremely simplified deployment, only 4 steps for installation operation

  Professional design team, using industrial-grade materials and aviation-level craftsmanship

  Simplified deployment and installation, complete application functions, and quickly complete the construction of small and medium-sized systems

  Support SDK secondary development

image/dqN1JYjdQ56ipwbZxaMUAQ
image/dqN1JYjdQ56ipwbZxaMUAQ

7 inch flat face recognition all-in-one machine

Retail price
0.0
Market price
0.0
Number of views:
1000
Product serial number
Quantity
-
+
Stock:
0
1
Description
Parameters
Technical Parameters
Product advantages
Project cases

  product description:

  The face recognition series products use 3D facial image collection, and the infrared night vision probe is installed to enable effective face recognition even in the dark.

  3D collection accepts 45 degrees of left and right face rotation and 25 degrees up and down.

  It has passed more than 100,000 facial database tests for up to 2 years, and the algorithm has also been ranked in the forefront of the annual test of the University of San Jose in the United States.

  Embedded powerful CPU, with a main frequency of 630MHZ, can handle 1: 20000 in 0.4 second.

  It supports fingerprint + face mode.

  German TGG company did the industrial design , using magnesium alloy + PC advanced technology + mirror technology, face collection and comparison is like looking in the mirror, it supports 2.8 / 3.5 / 7 inch TFT.

  Features:

  Dynamic face recognition (5000-20000 face database);

  Fixed user face recognition to open the door;

  The visitor ID card opens the door;

  1 second recognition, automatic door opening within 1.5 meters, support offline dynamic face recognition;

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We could not find any corresponding parameters, please add them to the properties table

  Parameters:

  Processor: RK3288, quad-core A17, clocked at 1.8GHz

  Pixel: 2 million, wide dynamic, anti-glare

  Memory: DDR3 2GB, maximum support 4GB

  Built-in memory: EMMC 8G, maximum support 128GB

  Display: 7-inch LCD display Screen resolution: 1024 * 600

  Dynamic recognition: Support 1: N comparison of 5000 ~ 20000 face library

  Face detection accuracy rate: ≥99.99% Face recognition accuracy rate: ≥99.7% Face recognition time: <400ms / person

  Identification range: identification distance: 0.5m ~ 2m; identification height: 1.2m ~ 2m

  Offline records: 100,000 offline records

  Infrared somatosensory: support strategy control of supplement lamp

  Algorithm: Support face detection, face tracking, quality evaluation, face comparison

  IO: 4 IO ports

  Serial port: 3 serial ports / UART (2 default TTL, 1 default TTL debug port)

  USB: 6 USB2.0 (one USB OTG)

  Power interface: DC 12V. 5A

  Network communication: single network port, WIFI

  Size: Subject to the actual size of each product

  Material: Aluminum alloy

  Working temperature: -20 ℃ ~ 70 ℃

  Working humidity: 10% ~ 90%

  Power consumption: 20W

  product advantages:

  (1) Industry-leading deep learning algorithm

  Living body detection algorithm to eliminate photo cheating

  Face detection takes about 30ms, the fastest is less than 10ms

  Face feature extraction and face library comparison takes less than 180ms

  Quality evaluation algorithm, time consuming <2ms

  Face recognition accuracy rate> 99.7%

  The combination of algorithm and chip, greatly improve chip power

  (2) Ten thousand level face database, millisecond level recognition

  Supports 1: N dynamic recognition of 5000 ~ 20000 local face database

  It can also be recognized when the network is disconnected, the opening time <1S

  (3) Anti-backlight to meet the needs of more than 90% of the scenes

  A dedicated camera for face recognition is used to greatly reduce the impact of backlighting on the face and ensure the quality of face collection

  (4) Excellent craftsmanship, durable; extremely simplified deployment, only 4 steps for installation operation

  Professional design team, using industrial-grade materials and aviation-level craftsmanship

  Simplified deployment and installation, complete application functions, and quickly complete the construction of small and medium-sized systems

  Support SDK secondary development

Add: Sewo Science and Technology Park, No. 231 Busha Road, Buji Street, Longgang District, Shenzhen

FAX: 0755-84278035

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