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Palm Print and Palm Vein Recognition

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Shenzhen Jupin Technology Co., Ltd.

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Palm Print and Palm Vein Recognition

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

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

Security : Palmprint Feature Encryption

Camera : RGB/IR

OTA Support : Support for USB Upgrade

Power Supply Current : >1.5A @5V

Palm Recognition Success Rate : 98%

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

Operating Voltage : 5V~12V

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

Module Power Consumption : Average 2.5W

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

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

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

Payment Terms : T/T

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

Model Number : JP308

Place of Origin : China

MOQ : Negotiable

Price : Negotiable

Supply Ability : 200+/day

Delivery Time : 5-8 work days

Algorithm Deployment Method : Support for Local Deployment and Cloud Deployment

Operating Temperature : -10℃~50℃

Communication Interface : USB TypeC (USB 2.0 Agreement)

Palm Scanning Working Distance : 5~15cm

Relative Humidity : 0~95%

RE Level : Complies with GB 9254 CLASS B specifications

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:

Palmprint / Palm Vein Dual-Modal
Polarized light system
RGB / IR aligned
Palm AE inside
Customized Lighting Interaction System
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
Working Temperature:	-10℃~50℃

Palm Print and Palm Vein Recognition

Product Tags:

AEC face recognition module

face recognition module 2million

Palm Print and Palm Vein Recognition Images

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