Raspberry Pi PCB Assembly Face Recognition Device Attend

Introducing our Raspberry Pi PCB Assembly Face Recognition Device Attend. We are a factory that specializes in manufacturing high-quality electronic products.

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  • Raspberry Pi PCB Assembly Face Recognition Device Attend
  • Raspberry Pi PCB Assembly Face Recognition Device Attend
  • Raspberry Pi PCB Assembly Face Recognition Device Attend
  • Raspberry Pi PCB Assembly Face Recognition Device Attend
  • Raspberry Pi PCB Assembly Face Recognition Device Attend
  • Raspberry Pi PCB Assembly Face Recognition Device Attend

PRODUCTS DETAILS

Basic Info.

Recognition Time
Less Than 1 Second
Recognition Distance
0.5~5 Meters
Operating System
Linux Operating System
Protocols
HTTP and Sdk
Processor
Sextuple Processor + 2g Memory
Face Angle
30 Degrees Left and Right, 30 Degrees up and Down
Face Capacity
More Than 65 000
Face Records
500000
Effective Pixels
2MP,1920*1080
Lens
6mm(Optional)
Sensor
1/2.8" Progressive Scan CMOS
Transport Package
Carton Packing
Specification
7 inch screen
Trademark
wellcam
Origin
China
HS Code
8543709990
Production Capacity
1000PCS/Day

Product Description

  Raspberry Pi PCB assembly face recognition device attend

Product Description

 

Features&Advantages

Support Real Time Human Body Detection .

Using Linux operating system, better system stability.

Face recognition algorithm to accurately recognize faces, face recognition time is less than 1s.

Support free switching 1:N/1:1 (IC card, QR code, ID card) recognition mode 1: N with 0.8s comparison efficiency.

Support for AD file playback.

Support PIR human body sensing wake-up function.

Support TF card storage, pictures are stored continuously for 1 year, video is stored continuously for 7 days.

Support 65000+ face matching library and 500,000 face recognition records.

Rich interface protocol, support SDK and HTTP protocol under various platforms such as Windows/Linux.

Support tracking of personnel movements under strong backlight conditions.

The host supports an external ID card reader (For Chinese ID card).

The host supports the Wiegand interface to connect with the personnel gate and the access control host, and acts as a face recognition reader.

 

  Specifications:

Hardware

 

Processor

Sextuple processor + 2G memory + 32G flash

Operating system

Linux Operating system

Storage

Support TF card storage

Camera module

U21R

Sensor

1/2.8" Progressive Scan CMOS

Lens

6mm(optional)

Performance

 

Recognition height

1.2~2.2 meters,Angle can be adjusted

Recognition distance

0.5~5 meters,depends on lens

Face angle

30 degrees left and right, 30 degrees up and down

Recognition time

Less than 1 second

Function

Support 500,000 capture library, real-time capture, support 65,000 list library

Product Images :
Raspberry Pi PCB Assembly Face Recognition Device AttendRaspberry Pi PCB Assembly Face Recognition Device AttendRaspberry Pi PCB Assembly Face Recognition Device AttendRaspberry Pi PCB Assembly Face Recognition Device Attend

Raspberry Pi PCB Assembly Face Recognition Device Attend Raspberry Pi PCB Assembly Face Recognition Device Attend Raspberry Pi PCB Assembly Face Recognition Device Attend Raspberry Pi PCB Assembly Face Recognition Device Attend Raspberry Pi PCB Assembly Face Recognition Device Attend Raspberry Pi PCB Assembly Face Recognition Device Attend
Company Information

Shenzhen Wellcam Co,Ltd being a branch company of Beward Co,Ltd in China (www.beward.ru) was established  in 2008 as a developer and manufacturer ,which is specialied  in ip video surveilance security camera products with stong and rich experienced R&D team for moren than 10 years in security fields.we protect our customers by manufacturing high-quality  and reliable products ,provide special products customization services .

Raspberry Pi PCB Assembly Face Recognition Device Attend

Our Service
 

1.  we can offer OEM&ODM services

2.  All software free provide , and technical support after-service

3.  long time warranty: 3 Years

4. 24 hours online service

Certification 
Raspberry Pi PCB Assembly Face Recognition Device Attend

 
 
 
 

 

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Contact us

Ms. Shara Kuang: Please feel free to give your inquiry in the form below We will reply you in 24 hours