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Brand Name : YNH
Model Number : 962
Place of Origin : Shenzhen
Certification : UL
MOQ : 100
Price : 60~80 USD
Packaging Details : 100pcs per box
Delivery Time : 5-8days
Payment Terms : T/T
MIPI Camera : 1, Supports MIPI Binocular Camera
System Upgrade : Support USB Cable / U Disk / Network Upgrade
Decoding resolution : Support Up To 4K
Speaker output : Support Single Channel 4R/3W Speaker
Serial Port : 5: 4 TTL, 1 232 (485 Optional)
RTC Real Time Clock : The Battery Supports Time Memory For 3 Years And Supports Timed Power On And Off
LCD Output : HDMI :1 , Support 1080P, 4K Output
USB interface : 4: 3 USB 2.0 -HOST, 1 USB 2.0 _OTG
The Palm Print Recognition Mainboard is an advanced and versatile Palmprint Scanning Control Board designed to deliver high-performance biometric identification solutions. Equipped with a powerful RK3568 quad-core CPU running at 2.0 GHz, this mainboard ensures fast and accurate processing of biometric data, making it ideal for various security and identification applications. The integration of this cutting-edge processor allows the system to handle complex algorithms and large data sets efficiently, providing a seamless user experience in palmprint recognition and fingerprint identification tasks.
This Palm Scan Verification Module operates on multiple robust operating systems, including Android 11.0, Ubuntu 20.04, and Debian 10.0, all based on the Linux 4.19 kernel. The availability of these operating systems offers flexibility to developers and system integrators, enabling them to customize and optimize the board for specific application needs. Whether you require a user-friendly Android interface or a stable Linux environment, this mainboard supports a wide range of software ecosystems to suit your project requirements.
One of the standout features of this Fingerprint Identification Board is its support for multiple system upgrade methods. Users can easily update the firmware and software via USB cable, U disk, or through network upgrade options. This versatility in system upgrading ensures that the device remains up-to-date with the latest security patches and feature enhancements, minimizing downtime and maintenance efforts. Network upgrade capability also enables remote management, which is crucial for large-scale deployments in enterprise environments.
In terms of connectivity, the Palm Print Recognition Mainboard is equipped with comprehensive network support. It includes Ethernet capabilities with 10M/100M speeds, ensuring reliable wired network connections for stable data transmission. For wireless communication, the board comes with built-in WiFi operating at 2.4 GHz by default, along with Bluetooth 5.0 support for enhanced device pairing and peripheral connectivity. Additionally, there is an optional module available that supports dual-band WiFi 6 (2.4G+5G), providing faster data rates, reduced latency, and improved network efficiency for modern wireless environments.
The decoding resolution of this Palm Scan Verification Module supports up to 4K, allowing for ultra-high-definition image processing and recognition accuracy. This high resolution is critical in biometric scanning applications where precise image capture and analysis significantly affect the reliability of identification. The ability to decode at 4K resolution ensures that even the finest details of a palmprint or fingerprint are captured and processed accurately, reducing false positives and enhancing overall security performance.
Designed with a focus on integration and performance, this Palmprint Scanning Control Board is suitable for a wide range of applications including access control, attendance systems, security verification, and identity management. Its combination of a powerful RK3568 CPU, multi-OS support, flexible upgrade options, robust network connectivity, and high-resolution decoding capabilities make it a comprehensive solution for modern biometric authentication needs.
In summary, the Palm Print Recognition Mainboard stands out as a reliable and efficient Palm Scan Verification Module and Fingerprint Identification Board that meets the demands of contemporary biometric security systems. Its high processing power, flexible operating system support, multiple upgrade pathways, advanced network features, and superior image decoding resolution collectively deliver a state-of-the-art platform for secure and accurate biometric identification.
| DDR | Standard 2G (4G / 8G Optional) LPDDR 4 |
| Operating System | Android 11.0 / Ubuntu 20.04 / Debian 10.0 (Kernel is Linux 4.19) |
| Speaker Output | Support Single Channel 4Ω/3W Speaker |
| Serial Port | 5: 4 TTL, 1 RS232 (RS485 Optional) |
| Wiegand Support | Support Wiegand 26 / 34 Adaptive Transmission |
| Dimension | 103.02 × 64 × 1.6 mm |
| USB Interface | 4: 3 USB 2.0 HOST, 1 USB 2.0 OTG |
| System Upgrade | Support USB Cable / U Disk / Network Upgrade |
| CPU | RK3568, Quad-core, 2.0 GHz |
| EMMC | EMMC 8G (16G/32G/64G/128G Optional) |
The YNH Palm Print Recognition Mainboard, model number 962, is a cutting-edge biometric identification solution originating from Shenzhen. This advanced Palm Scan Verification Module is designed to deliver highly accurate and reliable palm print recognition performance, making it ideal for a variety of application occasions and scenarios.
One of the primary application scenarios for this Palm Imprint Recognition Circuit Board is in secure access control systems. The board’s support for fingerprint identification combined with palm print recognition enables multi-modal biometric verification, enhancing security for corporate offices, government buildings, and sensitive facilities. With UL certification ensuring high standards of safety and quality, the YNH 962 is well-suited for integration into door entry systems, turnstiles, and secure gateways.
In addition to physical access control, the Fingerprint Identification Board is perfect for attendance management systems in workplaces, schools, and healthcare institutions. Its fast and accurate verification capability reduces bottlenecks during peak entry times. The board supports MIPI binocular camera input for enhanced image capture, and its decoding resolution supports up to 4K, ensuring precise palm print data acquisition for reliable recognition.
The YNH 962 also excels in banking and financial services environments, where secure customer verification is crucial. The Palm Scan Verification Module can be integrated into ATM machines, self-service kiosks, and other automated banking terminals to provide contactless, hygienic authentication that reduces fraud risk.
For smart homes and IoT applications, this Palm Print Recognition Mainboard offers versatile network connectivity options including Ethernet 10M/100M, WiFi 2.4G as default, optional Bluetooth 5.0, and even 2.4G+5G dual-band WiFi6 modules. Such connectivity ensures seamless integration with home automation systems and mobile app controls. System upgrades can be conveniently performed via USB cable, U disk, or over the network, providing flexibility and ease of maintenance.
Packaging details include 100 pieces per box, with a minimum order quantity of 100 units, priced between 60 to 80 USD each. Delivery time is typically 5-8 days, with payment terms based on T/T. The board comes equipped with EMMC 8G storage, with options for 16G, 32G, 64G, and 128G, catering to various data storage requirements.
Overall, the YNH 962 Palm Imprint Recognition Circuit Board is an ideal biometric solution for industries requiring high security, accuracy, and versatile deployment options, making it a valuable component in modern identity verification systems worldwide.
The YNH 962 Palm Print Recognition Mainboard is a high-performance Palm Scan Verification Module designed to meet diverse biometric authentication needs. Manufactured in Shenzhen and certified by UL, this Palm-reading Recognition Motherboard features a powerful RK3568 Quad-core 2.0 GHz CPU, ensuring reliable and efficient processing.
Equipped with multiple USB interfaces, including 3 USB 2.0 HOST ports and 1 USB 2.0 OTG port, the Palmprint Scanning Control Board supports seamless connectivity. It runs on versatile operating systems such as Android 11.0, Ubuntu 20.04, and Debian 10.0 with Linux 4.19 kernel, providing flexibility for various applications.
System upgrades are straightforward via USB Cable, U Disk, or network upgrade options, enhancing long-term usability. Network support includes Ethernet 10M/100M, default 2.4G WiFi, Bluetooth 5.0, and optional 2.4G+5G Dual-band Wifi6 modules, ensuring robust and fast communication capabilities.
With a minimum order quantity of 100 units, priced between 60 to 80 USD each, the product is packaged conveniently with 100 pieces per box. Delivery is prompt within 5-8 days, and payment terms are flexible via T/T.
Choose the YNH 962 Palm Print Recognition Mainboard for a reliable Palm Scan Verification Module, Palm-reading Recognition Motherboard, and Palmprint Scanning Control Board that combine advanced technology with efficient delivery and customization services.
Our Palm Print Recognition Mainboard product comes with comprehensive technical support and services to ensure optimal performance and customer satisfaction. We provide detailed user manuals and installation guides to help you set up and operate the mainboard efficiently.
Technical support is available to assist with troubleshooting, firmware updates, and configuration adjustments. Our support team is dedicated to resolving any issues you may encounter and providing expert advice on integration and usage.
We also offer regular software updates to enhance functionality and security. Maintenance services are available to keep your mainboard running smoothly over time.
For developers, we provide SDKs and API documentation to facilitate custom application development and seamless integration with existing systems.
Our commitment is to deliver reliable and responsive support to help you maximize the benefits of the Palm Print Recognition Mainboard in your biometric security solutions.
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Bluetooth 5.0 Palm Print Recognition Mainboard with 4K Decoding Resolution and RK3568 Quad-core 2.0 GHz CPU Images |