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

Categories	Face Recognition Camera 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 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 Windows 10
Working Temperature:	-10℃~50℃

Product Tags:

AEC face recognition module

face recognition module 2million

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

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