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Palm Print Recognition Mainboard with 4K Output WiFi 2.4G and Ethernet 10M/100M for Secure Biometric Verification
  • Palm Print Recognition Mainboard with 4K Output WiFi 2.4G and Ethernet 10M/100M for Secure Biometric Verification
  • Palm Print Recognition Mainboard with 4K Output WiFi 2.4G and Ethernet 10M/100M for Secure Biometric Verification
  • Palm Print Recognition Mainboard with 4K Output WiFi 2.4G and Ethernet 10M/100M for Secure Biometric Verification
  • Palm Print Recognition Mainboard with 4K Output WiFi 2.4G and Ethernet 10M/100M for Secure Biometric Verification
  • Palm Print Recognition Mainboard with 4K Output WiFi 2.4G and Ethernet 10M/100M for Secure Biometric Verification
  • Palm Print Recognition Mainboard with 4K Output WiFi 2.4G and Ethernet 10M/100M for Secure Biometric Verification

Palm Print Recognition Mainboard with 4K Output WiFi 2.4G and Ethernet 10M/100M for Secure Biometric Verification

Place of Origin Shenzhen
Brand Name YNH
Certification UL
Model Number 962
Product Details
LCD Output:
HDMI :1 , Support 1080P, 4K Output
Dimension:
103.02 * 64 *1.6mm
RTC Real Time Clock:
The Battery Supports Time Memory For 3 Years And Supports Timed Power On And Off
Network Support:
Ethernet 10M/100M;WiFi 2.4G ( Default ), Bluetooth 5.0; Optional 2.4G+5G Dual-band Wifi6 Module
DDR:
Standard 2G (4G / 8G Optional) LPDDR 4
Decoding Resolution:
Support Up To 4K
USB Interface:
4: 3 USB 2.0 -HOST, 1 USB 2.0 _OTG
System Upgrade:
Support USB Cable / U Disk / Network Upgrade
Highlight: 

4K Output Palm Print Recognition Mainboard

,

WiFi 2.4G Palm Scan Verification Module

,

Ethernet 10M/100M Fingerprint Identification Board

Payment & Shipping Terms
Minimum Order Quantity
100
Price
60~80 USD
Packaging Details
100pcs per box
Delivery Time
5-8days
Payment Terms
T/T
Product Description

Product Description:

The Palm Print Recognition Mainboard is an advanced and highly reliable Palm Scan Verification Module designed for cutting-edge biometric identification systems. This mainboard integrates state-of-the-art technology to deliver fast, accurate, and secure palm print recognition, making it an ideal solution for access control, attendance systems, and identity verification in various industries. Equipped with robust hardware and versatile software compatibility, this Palm Scan Verification Module ensures seamless integration and exceptional performance in diverse application scenarios.

One of the standout features of this Palm Scan Verification Module is its flexible storage options. It comes standard with 8GB of EMMC storage, with optional upgrades available at 16GB, 32GB, 64GB, or even 128GB to meet different data storage and processing needs. This scalable storage capacity allows the device to handle large databases of biometric templates and user information efficiently, ensuring smooth operation even in high-demand environments.

In terms of memory, the mainboard is equipped with a standard 2GB DDR LPDDR4 RAM, which can be optionally upgraded to 4GB or 8GB depending on the performance requirements. The use of LPDDR4 technology not only provides fast data access speeds but also contributes to lower power consumption, enhancing the overall efficiency and responsiveness of the Palm Scan Verification Module. This ensures quick processing of palm print data and reduces latency in verification tasks.

Connectivity and compatibility are critical for any biometric system, and this Palm Scan Verification Module excels in supporting Wiegand protocol. It supports both Wiegand 26 and Wiegand 34 adaptive transmission formats, making it highly adaptable to various security and access control systems currently in use. This broad support allows for straightforward integration with existing infrastructure, reducing installation complexity and enabling seamless communication between devices.

For image acquisition, the mainboard supports a MIPI binocular camera interface, allowing it to connect with advanced MIPI binocular cameras. This feature enhances the accuracy and reliability of palm print detection by capturing detailed and high-resolution palm images from multiple angles. The binocular camera capability also improves the system's ability to differentiate between genuine and fake palm prints, thereby enhancing security and reducing false acceptance rates.

The Palm Print Recognition Mainboard offers exceptional versatility in operating system options, catering to different development environments and user preferences. It supports Android 11.0, Ubuntu 20.04, and Debian 10.0, all running on the stable and widely adopted Linux 4.19 kernel. This multi-OS compatibility allows developers and integrators to choose the most suitable platform for their applications, whether it be a user-friendly Android interface or a powerful Linux-based system for more complex deployments.

In summary, this Palm Scan Verification Module is a comprehensive and flexible solution engineered to meet the demands of modern biometric systems. Its combination of scalable EMMC storage, upgradeable LPDDR4 memory, Wiegand protocol support, MIPI binocular camera compatibility, and diverse operating system options makes it an excellent choice for developers seeking a reliable and efficient palm print recognition mainboard. Whether for security, attendance tracking, or identity verification, this module delivers exceptional accuracy, speed, and integration capabilities, ensuring a superior user experience and robust security performance.

 

Features:

  • Product Name: Palm Print Recognition Mainboard
  • Supports Palm Scan Verification Module for accurate palm print authentication
  • Palm-reading Recognition Motherboard designed for secure and efficient biometric verification
  • Speaker Output: Supports Single Channel 4Ω/3W speaker
  • Operating System Options: Android 11.0, Ubuntu 20.04, Debian 10.0 (Kernel is Linux 4.19)
  • LCD Output: HDMI x1, supports 1080P and 4K output resolutions
  • Network Support: Ethernet 10M/100M, WiFi 2.4G (default), Bluetooth 5.0
  • Optional Network Upgrade: 2.4G+5G Dual-band WiFi 6 Module available
  • Decoding Resolution: Supports up to 4K for high-quality image processing
  • Ideal for integration with Palm Scan Verification Module systems
 

Technical Parameters:

Dimension 103.02 * 64 * 1.6 mm
Network Support Ethernet 10M/100M; WiFi 2.4G (Default), Bluetooth 5.0; Optional 2.4G+5G Dual-band Wifi6 Module
Speaker Output Support Single Channel 4R/3W Speaker
RTC Real Time Clock The Battery Supports Time Memory For 3 Years And Supports Timed Power On And Off
Operating System Android 11.0 / Ubuntu 20.04 / Debian 10.0 (Kernel Is Linux 4.19)
Wiegand Support Support Wiegand 26 / 34 Adaptive Transmission
Decoding Resolution Support Up To 4K
CPU RK3568, Quad-core, 2.0 GHz
Serial Port 5: 4 TTL, 1 232 (485 Optional)
USB Interface 4: 3 USB 2.0 -HOST, 1 USB 2.0 _OTG

Applications:

The YNH 962 Palmprint Scanning Control Board is a cutting-edge biometric recognition solution designed for various application occasions and scenarios. Originating from Shenzhen and certified with UL standards, this Palm Imprint Recognition Circuit Board combines advanced technology with reliability, making it ideal for secure access control, attendance systems, and identity verification in corporate offices, government buildings, and high-security facilities.

Equipped with standard 2G DDR memory (with optional upgrades to 4G or 8G LPDDR4) and EMMC storage options ranging from 8G to 128G, the YNH 962 model ensures smooth processing and storage of biometric data. Its support for Wiegand 26/34 adaptive transmission provides seamless integration with existing security infrastructures, making it a versatile Fingerprint Identification Board for various security setups.

This Palmprint Scanning Control Board supports a MIPI binocular camera, enhancing the accuracy and speed of palmprint recognition. The inclusion of HDMI output supporting 1080P and 4K resolutions allows for clear and detailed display of biometric data and system interfaces, suitable for monitoring stations and user interaction terminals. Packaging is efficient with 100 pieces per box, aligning well with bulk installations and large-scale deployment projects.

Typical application scenarios include secure entry systems in corporate headquarters, hospitals, and educational institutions, where fast and reliable biometric authentication is essential. The Palm Imprint Recognition Circuit Board is also highly suitable for time and attendance tracking in factories and warehouses, ensuring that only authorized personnel can access restricted areas. Additionally, the Fingerprint Identification Board can be employed in smart home security systems, enhancing convenience and safety for residents.

With a minimum order quantity of 100 units and a competitive price range of 60 to 80 USD per piece, the YNH 962 model offers an excellent cost-performance ratio for system integrators and security solution providers. Delivery times are prompt, typically between 5 to 8 days, with payment terms via T/T, facilitating efficient procurement and project planning. Overall, the YNH 962 Palmprint Scanning Control Board is a reliable, high-performance choice for diverse biometric recognition applications.

 

Customization:

Introducing the YNH 962 Palm Print Recognition Mainboard, a high-performance Palm Scan Verification Module designed for advanced biometric applications. Manufactured in Shenzhen and certified by UL, this Fingerprint Identification Board ensures reliable and secure palm scan verification with support for decoding resolutions up to 4K.

Our Palm Scan Verification Module supports Wiegand 26 / 34 adaptive transmission, making it compatible with a variety of security systems. Network connectivity is versatile, featuring Ethernet 10M/100M, WiFi 2.4G by default, Bluetooth 5.0, and an optional 2.4G+5G dual-band Wifi6 module for enhanced communication capabilities.

With compact dimensions of 103.02 * 64 * 1.6mm, the board integrates a single channel 4R/3W speaker output, providing audio feedback for user interactions. The product is packaged with 100 pieces per box, ensuring efficient shipping and inventory management.

Available at a competitive price range of 60 to 80 USD, the YNH 962 requires a minimum order quantity of 100 units. Delivery is prompt within 5 to 8 days, with payment terms on T/T basis to facilitate smooth transactions.

Choose the YNH 962 Palm Scan Verification Module and Fingerprint Identification Board for cutting-edge biometric solutions that combine precision, connectivity, and ease of integration.

 

Support and Services:

Our Palm Print Recognition Mainboard product is designed to deliver high-performance biometric identification with reliable accuracy and fast processing speeds. For optimal operation, ensure that the mainboard is installed in a compatible environment with stable power supply and proper ventilation.

Technical support is available to assist with installation, configuration, and troubleshooting. Our support team can guide you through firmware updates, software integration, and hardware compatibility to maximize the functionality of your palm print recognition system.

We provide comprehensive services including system calibration, maintenance guidance, and performance optimization to ensure long-term reliability. Detailed user manuals and technical documentation are available to help you understand the system capabilities and maintenance procedures.

In case of hardware issues, we offer diagnostic assistance to identify and resolve faults promptly. Replacement parts and repair services are provided under warranty terms to minimize downtime and maintain system efficiency.

For software-related inquiries, support includes assistance with SDK usage, API integration, and customization to fit specific application needs. We also offer training sessions and resources to help users and developers make the most of the palm print recognition technology.

Our commitment is to provide continuous support and updates to enhance the product’s performance and security, ensuring your biometric identification system remains robust and dependable.

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Rooms 801-802, 8th Floor, Building A, Huizhi R&D Center, Xixiang Subdistrict, Bao'an District, Shenzhen, Guangdong Province, China
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