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

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

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Brand Name : Shi Zun

Model Number : JP-FM223

Place of Origin : China

MOQ : Negotiable

Price : Negotiable

Supply Ability : 100+pcs+day

Delivery Time : 10 working days

Packaging Details : 40mm * 15mm * 10.65mm

Payment Terms : T/T

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)

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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

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

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


Product Tags:

ESD Protection Face Recognition Module

      

2million Face Recognition Module

      

ESD Protection face detection module

      
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