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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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Shenzhen Jupin Technology Co., Ltd.
City:shenzhen
Country/Region:china
Contact Person:MrLiao Shaoxiong
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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%

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