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Face Recognition Camera Module
Created with Pixso. AI Face Recognition Camera

AI Face Recognition Camera

Brand Name: Shi Zun
Model Number: JP-FM226
MOQ: Negotiable
Price: Negotiable
Delivery Time: 10 working days
Payment Terms: T/T
Detail Information
Place of Origin:
China
Product Model:
FM223
Facial Recognition Algorithm:
Supports Deep Learning Infrared Facial Recognition Algorithm
Number Of Users (Facial Recognition):
100 Users
Facial Recognition Accuracy:
98.85%
False Acceptance Rate (Facial Recognition):
0.0001%
Recognition Angle (Facial Recognition):
Approximately ±20° (horizontal And Vertical). (Supports Multi-angle Facial Entry To Expand Recognition Range)
Recognition Distance (Facial Recognition):
30-110 Cm
Liveness Detection:
Supported
Liveness Detection False Acceptance Rate (LDAFAR):
≤1%
Liveness Detection False Rejection Rate (LPFRR):
≤1%
Video Function:
Supports USB Output Of Color Video In MJPEG Format
Communication Interface:
UART & USB
UART Baud Rate:
115200 (default)
Power Supply Voltage:
5.5V–9.0V
Shutdown Current:
0 μA
Operating Temperature:
-20°C To +60°C
Storage Temperature:
-30°C To +70°C
Relative Humidity:
10%–93% (non-condensing)
Packaging Details:
40mm * 15mm * 10.65mm
Supply Ability:
100+pcs+day
Highlight:

ESD Protection Face Recognition Module

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2million Face Recognition Module

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ESD Protection face detection module

Product Description

JP-FM223 Dual-Lens Camera Module with Facial Recognition Algorithm of 100 users Facial Recognition Accuracy 98.85%

 

JP-FM223 Dual-Lens Camera Module Features:

  1. The JP-FM223 module consists of a facial recognition algorithm board, a dual-lens 3D camera, and infrared/white LED lights.
  2. The JP-FM223 module is compact, energy-efficient, and delivers fast recognition.
  3. The JP-FM223 module enhances adaptability to ambient lighting and anti-spoofing capabilities while improving usability for people of varying heights and expanding recognition angles, significantly enhancing the user experience.
  4. The JP-FM223 is an all-in-one compact module integrated with a deep learning dynamic visible light facial recognition algorithm. Based on a financial-grade dual-lens 3D liveness detection algorithm, it features a dual-lens camera to perform liveness detection, facial capture, feature extraction/matching, and user data storage.

It communicates with third-party devices via UART/USB for data exchange and video transmission, enabling intelligent facial recognition for smart door locks. Additionally, it outputs video streams to support local or remote peephole functionality.

 

JP-FM223 Dual-Lens Camera Module Parameter:

Facial Recognition Algorithm:
Supports deep learning infrared facial recognition algorithm
Number of Users (Facial Recognition):
100 users
Facial Recognition Accuracy: 98.85%
False Acceptance Rate (Facial Recognition): 0.0001%
Recognition Angle (Facial Recognition):
Approximately ±20° (horizontal and vertical)
Recognition Distance (Facial Recognition):
30-110 cm
Video Function: Supports USB output of color video in MJPEG format
Communication Interface: UART & USB
UART Baud Rate:
115200 (default)
Power Supply Voltage: 5.5V–9.0V

AI Face Recognition CameraAI Face Recognition CameraAI Face Recognition Camera

 

 

Good price  online

Products Details

Created with Pixso. Home Created with Pixso. Products Created with Pixso.
Face Recognition Camera Module
Created with Pixso. AI Face Recognition Camera

AI Face Recognition Camera

Brand Name: Shi Zun
Model Number: JP-FM226
MOQ: Negotiable
Price: Negotiable
Packaging Details: 40mm * 15mm * 10.65mm
Payment Terms: T/T
Detail Information
Place of Origin:
China
Brand Name:
Shi Zun
Model Number:
JP-FM226
Product Model:
FM223
Facial Recognition Algorithm:
Supports Deep Learning Infrared Facial Recognition Algorithm
Number Of Users (Facial Recognition):
100 Users
Facial Recognition Accuracy:
98.85%
False Acceptance Rate (Facial Recognition):
0.0001%
Recognition Angle (Facial Recognition):
Approximately ±20° (horizontal And Vertical). (Supports Multi-angle Facial Entry To Expand Recognition Range)
Recognition Distance (Facial Recognition):
30-110 Cm
Liveness Detection:
Supported
Liveness Detection False Acceptance Rate (LDAFAR):
≤1%
Liveness Detection False Rejection Rate (LPFRR):
≤1%
Video Function:
Supports USB Output Of Color Video In MJPEG Format
Communication Interface:
UART & USB
UART Baud Rate:
115200 (default)
Power Supply Voltage:
5.5V–9.0V
Shutdown Current:
0 μA
Operating Temperature:
-20°C To +60°C
Storage Temperature:
-30°C To +70°C
Relative Humidity:
10%–93% (non-condensing)
Minimum Order Quantity:
Negotiable
Price:
Negotiable
Packaging Details:
40mm * 15mm * 10.65mm
Delivery Time:
10 working days
Payment Terms:
T/T
Supply Ability:
100+pcs+day
Highlight:

ESD Protection Face Recognition Module

,

2million Face Recognition Module

,

ESD Protection face detection module

Product Description

JP-FM223 Dual-Lens Camera Module with Facial Recognition Algorithm of 100 users Facial Recognition Accuracy 98.85%

 

JP-FM223 Dual-Lens Camera Module Features:

  1. The JP-FM223 module consists of a facial recognition algorithm board, a dual-lens 3D camera, and infrared/white LED lights.
  2. The JP-FM223 module is compact, energy-efficient, and delivers fast recognition.
  3. The JP-FM223 module enhances adaptability to ambient lighting and anti-spoofing capabilities while improving usability for people of varying heights and expanding recognition angles, significantly enhancing the user experience.
  4. The JP-FM223 is an all-in-one compact module integrated with a deep learning dynamic visible light facial recognition algorithm. Based on a financial-grade dual-lens 3D liveness detection algorithm, it features a dual-lens camera to perform liveness detection, facial capture, feature extraction/matching, and user data storage.

It communicates with third-party devices via UART/USB for data exchange and video transmission, enabling intelligent facial recognition for smart door locks. Additionally, it outputs video streams to support local or remote peephole functionality.

 

JP-FM223 Dual-Lens Camera Module Parameter:

Facial Recognition Algorithm:
Supports deep learning infrared facial recognition algorithm
Number of Users (Facial Recognition):
100 users
Facial Recognition Accuracy: 98.85%
False Acceptance Rate (Facial Recognition): 0.0001%
Recognition Angle (Facial Recognition):
Approximately ±20° (horizontal and vertical)
Recognition Distance (Facial Recognition):
30-110 cm
Video Function: Supports USB output of color video in MJPEG format
Communication Interface: UART & USB
UART Baud Rate:
115200 (default)
Power Supply Voltage: 5.5V–9.0V

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