TitleProduct

AI Face Recognition Monocular USB Camera

  • Price:

    Negotiable

  • minimum:

  • Total supply:

  • Delivery term:

    The date of payment from buyers deliver within days

  • seat:

    Shanghai

  • Validity to:

    Long-term effective

  • Last update:

    2020-12-17 22:54

  • Browse the number:

    150

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Company Profile

Deepano (Shanghai) Technology Co., Ltd.

By certification [File Integrity]

Contact:dipai2020(Mr.)  

Email:

Telephone:

Phone:

Area:Shanghai

Address:Shanghai

Website:http://www.deepano.com/ http://dipai2020.china-jinquan.com/

PRODUCT DETAILS

Function and specification


Function

Specification

Hardware & Interfaces

Supply voltage

DC 5V±200mV@2A,USB3.0 supply power or separately

Operating Temperature

-15°C~ 70°C

Storage temperature

-40°C~85°C

Communication interface

USB (The receiving end can be compatible with USB2.0 USB3.0)

Communication agreement

UVC agreement

Image

Image sensor

Support imx307 1080P@25fps MIPI input by default
Other sensors can be customized and extended: highest support: 4K@30fps MIPI input

Image output format

MJPEG supports: 1920*1080@25fps;1280*720 @25fps;640*360 @25fps;

Lens parameters

Default: focal length 4.4mm FOV 80° distortionless lens. (Optional other lenses)

Lens type

M12

ISP image processing

Support auto white balance, auto exposure
Support 3D noise reduction
Support automatic HDR (up to 120dB)
Support adjustment of brightness, contrast, saturation, maximum exposure time, etc.


Lens and housing configuration


Monocular UVC

Binocular UVC

Default lens parameters
(Optional other lenses)

Single focal length 4.4mm FOV 80°
F1.7 large aperture lens

Two focal length 4.4mm FOV 80°
F1.0 large aperture lens

Lens type

M12

M12

Shell shape

Shell size

Body: 43 x 43 x 15 mm
Lens: 15mm in diameter, 8mm in height

43 x 43 x 30 mm

Application scenarios

Face capture machine, smart shelf, smart billboard, smart POS machine accessories, large screen interactive machine

Except the functions of Monocular UVC, Binocular has live face recognition


Application scenarios

Scenarios

Image

Features

Specification

Large screen attendance system
(Business welcoming, conference sign-in, company internal)

 

● Support multiple sign-in

● Support face detection

● Support face recognition

● Can be used with a TV box to connect to a large-screen display, easy to install and remove

Face detection:

● Maximum distance: 6m(Test module FOV 90 degrees)

● Detection speed: 3ms

● Detection accuracy: FDDB data set: 99%

● Adaption angle: Side face deflection ±60 degrees left and right, vertical deflection ±60 degrees


Face recognition:

● Detection speed: 100ms

● Algorithm accuracy: Supports local face database of 30,000 people with an accuracy of 99.8%

Large screen interactive system
(AI interaction, attracting passenger flow)

 

● Support multi-person face detection

● Support multi-face age, gender, and attention time analysis

● Support front-end automatic identification of new and old customers

● Support special-shaped screen display, convenient for installation and disassembly of store shelves

● Can be used with a TV box to connect to a large-screen display, easy to install and remove

Face detection:

● Maximum distance: 2m (Test module FOV 90 degrees)

● Analysis speed: 10ms

● Adaption angle: Side face deflection ±30 degrees left and right, vertical deflection ±30 degrees

● Age bias: Plus or minus 5 years old

● Gender accuracy: 96%

Face recognition:

● Maximum distance: 2m (Test module FOV 90 degrees)

● Analysis speed: 10ms

Smart shelf
(Layout inspection, out of stock reminder, attention analysis)

 

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Smart billboard
 (Automatically push targeted advertising information based on customers' age, gender, and other information)

 

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http://www.deepano.com/