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    7 inch flat face recognition all-in-one machine
    Number of views:
    1000

    7 inch flat face recognition all-in-one machine

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    元
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    Number of views:
    1000
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    Product 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;

    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
    元
    Market price
    0.0
    元
    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;

    Scan the QR code to read on your phone
    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

    TEL： 0755-84272835

    FAX： 0755-84278035

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