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JP308 3D Structured Light Camera Module Palmprint / Palm Vein Dual-Modal incorporating a high-performance ISP and AI module

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JP308 3D Structured Light Camera Module Palmprint / Palm Vein Dual-Modal incorporating a high-performance ISP and AI module

Brand Name : Shi Zun

Model Number : JP308

Place of Origin : China

MOQ : Negotiable

Price : Negotiable

Supply Ability : 100+pcs+day

Delivery Time : 10 working days

Packaging Details : 53.12mm x 53.12mm x 4.33mm

Payment Terms : T/T

Overall Dimensions : L53.12mm * W53.12mm * H14.33mm

Camera : RGB/IR

Communication Interface : USB TypeC (USB 2.0 Agreement)

Palm Scanning Working Distance : 5~15cm

QR Code Scanning Working Distance : 3~20cm, Supports for Simple QR Code

Operating Voltage : 5V~12V

Power Supply Current : >1.5A @5V

Module Power Consumption : Average 2.5W

ESD Level : Contact Discharge ±4KV, Air Discharge ±8KV

RE Level : Complies with GB 9254 CLASS B specifications

Palm Scanning Angle : Pitch angle ≤ 30°, roll angle ≤ 30°, horizontal rotation ≤ 360°

Palm Recognition Success Rate : 98%

Host Computing Power Requirements : ≥4*A17 @1.8GHz

Algorithm Deployment Method : Support for Local Deployment and Cloud Deployment

Image Processing : High-Performance ISP inside/ Palm AE inside

Security : Palmprint Feature Encryption

OTA Support : Support for USB Upgrade

Compatibility of the System : Support for Android 7/8/9/10; Support for Windows 10

Operating Temperature : -10℃~50℃

Relative Humidity : 0~95%

Illuminance : 0~50,000Lux( Module Not Exposed to Direct Sunlight)

Storage Temperature : -40℃~85℃

Storage Humidity : 10%~95%

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JP308 3D Structured Light Camera Module Palmprint / Palm Vein Dual-Modal incorporating a high-performance ISP and AI module

JP308 3D Structured Light Camera Module Introduction:

Veinshine 01 RGB&IR dual-modal palm scanner camera utilizes high-precision optical technology, incorporating a high-performance ISP and AI module. It features a unique software-based AE algorithm, enabling efficient palm detection and closed-loop
Palm AE under various lighting conditions, including low-light environments, to provide high-quality palm
print and palm vein images.

JP308 3D Structured Light Camera Module System Requirements:

  • Image algorithm processing is carried out inside the module
  • The upper computer needs to perform palmprint recognition algorithms, including liveness detection and feature extraction. It
    is recommended to have a system with computing power of at least Arm 4 * A17@1.8GHz

JP308 3D Structured Light Camera Module Features:

  1. Palmprint / Palm Vein Dual-Modal
  2. Polarized light system
  3. RGB / IR aligned
  4. Palm AE inside
  5. Customized Lighting Interaction System
  6. Large Field of View (FOV), 5~15cm Palm Scanning Working Distance

JP308 3D Structured Light Camera Module Applicabilities:

  • Palm ID and access control
  • Subway turnstiles
  • Retail payments

JP308 3D Structured Light Camera Module Parameter:

Camera:
RGB/IR
Communication Interface: USB TypeC (USB 2.0 Agreement)
Operating Voltage: 5V~12V
Module Power Consumption: Average 2.5W
Palm Recognition Success Rate: 98%
Host Computing Power Requirements: ≥4*A17 @1.8GHz
Algorithm Deployment Method: Support for Local Deployment and Cloud Deployment
OTA Support: Support for USB Upgrade
Compatibility of the System: Support for Android 7/8/9/10; Support for Windows 10
Working Temperature: -10℃~50℃

JP308 3D Structured Light Camera Module Palmprint / Palm Vein Dual-Modal incorporating a high-performance ISP and AI moduleJP308 3D Structured Light Camera Module Palmprint / Palm Vein Dual-Modal incorporating a high-performance ISP and AI moduleJP308 3D Structured Light Camera Module Palmprint / Palm Vein Dual-Modal incorporating a high-performance ISP and AI moduleJP308 3D Structured Light Camera Module Palmprint / Palm Vein Dual-Modal incorporating a high-performance ISP and AI module

JP308 3D Structured Light Camera Module Palmprint / Palm Vein Dual-Modal incorporating a high-performance ISP and AI module


Product Tags:

AEC face recognition module

      

face recognition module 2million

      
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