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2.0 GHz Processor Face Recognition Motherboard Support 4R3W Speakers RTC Real Time Clock Battery Memory 3 Years Timed Power On Off
  • 2.0 GHz Processor Face Recognition Motherboard Support 4R3W Speakers RTC Real Time Clock Battery Memory 3 Years Timed Power On Off
  • 2.0 GHz Processor Face Recognition Motherboard Support 4R3W Speakers RTC Real Time Clock Battery Memory 3 Years Timed Power On Off
  • 2.0 GHz Processor Face Recognition Motherboard Support 4R3W Speakers RTC Real Time Clock Battery Memory 3 Years Timed Power On Off
  • 2.0 GHz Processor Face Recognition Motherboard Support 4R3W Speakers RTC Real Time Clock Battery Memory 3 Years Timed Power On Off
  • 2.0 GHz Processor Face Recognition Motherboard Support 4R3W Speakers RTC Real Time Clock Battery Memory 3 Years Timed Power On Off
  • 2.0 GHz Processor Face Recognition Motherboard Support 4R3W Speakers RTC Real Time Clock Battery Memory 3 Years Timed Power On Off

2.0 GHz Processor Face Recognition Motherboard Support 4R3W Speakers RTC Real Time Clock Battery Memory 3 Years Timed Power On Off

Place of Origin Shenzhen
Brand Name YNH
Certification UL
Model Number 362
Product Details
Security:
Facial Recognition Technology
DDR:
1G DDR 4
Processor:
RK3568 , Quad-core, 2.0 GHz
Network Support:
Ethernet 100M;Default WiFi -2.4G ( 2.4G And 5G Dual-band WiFi6 Optional )
Dimensions:
103.01 * 64 *1.6 Mm
Operating System:
Linux - 4.19
USB Interface:
5 : 4 USB2.0 - HOST , 1 USB2.0- OTG
EMMC:
EMMC 8G
Highlight: 

2.0 GHz face recognition motherboard

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face recognition motherboard with RTC

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motherboard with timed power on off

Payment & Shipping Terms
Minimum Order Quantity
100
Price
50~70 USD
Packaging Details
100pcs per box
Delivery Time
15 days
Payment Terms
T/T
Supply Ability
5000 pcs per month
Product Description

Product Description:

The Face Recognition Motherboard is a cutting-edge Facial Scanning Logic Board designed to deliver high-performance biometric identification capabilities for a wide range of applications. At its core, this advanced Biometric Identification Circuit Board is powered by the RK3568 processor, a robust quad-core CPU running at 2.0 GHz, ensuring fast and efficient facial identification processing. The integration of this powerful Facial Identification Processing Unit enables seamless and accurate recognition, making it an ideal solution for security systems, access control, attendance tracking, and other identity verification needs.

Networking capabilities are a critical aspect of this Facial Scanning Logic Board. By default, it supports Ethernet 100M connectivity, providing reliable wired network communication for stable and secure data transmission. Additionally, the motherboard comes with built-in 2.4G WiFi support, ensuring easy wireless integration. For users seeking enhanced wireless performance, there is also an optional upgrade to dual-band WiFi6, supporting both 2.4G and 5G frequencies. This optional WiFi6 feature offers faster data rates, lower latency, and improved network efficiency—essential for real-time facial recognition applications where speed and accuracy matter most.

Connectivity extends beyond networking with a total of five USB interfaces embedded on the board. Four of these are USB 2.0 HOST ports, allowing multiple peripherals such as cameras, sensors, and external storage devices to be connected simultaneously. The fifth is a USB 2.0 OTG (On-The-Go) port, providing flexible connectivity options for device communication and data transfer. This versatile USB configuration supports the diverse hardware requirements needed for comprehensive facial identification systems, making the motherboard adaptable to various deployment scenarios.

The Face Recognition Motherboard operates on a robust Linux 4.19 operating system, a reliable and stable platform that supports extensive development and customization. Linux’s open-source nature allows developers to tailor the software environment to specific facial recognition algorithms and system requirements, optimizing performance and security. Furthermore, the system upgrade process is streamlined and user-friendly; upgrades can be performed easily via USB cable or U disk, ensuring that the Facial Identification Processing Unit can stay up-to-date with the latest software enhancements, security patches, and feature improvements without hassle.

This Facial Scanning Logic Board stands out due to its combination of powerful processing, versatile connectivity, and network flexibility. Its quad-core RK3568 processor is specifically chosen for its ability to handle complex facial recognition computations efficiently, reducing latency and increasing throughput. The dual-band WiFi6 option ensures that wireless connections are not a bottleneck in system performance, while the Ethernet 100M port offers a dependable wired alternative. The inclusion of multiple USB ports enhances the board’s compatibility with a wide range of peripheral devices, making it highly adaptable for integration into existing biometric systems or for developing new, innovative facial recognition solutions.

In summary, this Face Recognition Motherboard is an all-encompassing Facial Identification Processing Unit designed to meet the rigorous demands of modern biometric identification systems. Its advanced hardware architecture, combined with flexible networking options and a reliable Linux operating system, provides a solid foundation for developing precise and efficient facial recognition applications. Whether deployed in security checkpoints, smart buildings, or automated attendance systems, this Biometric Identification Circuit Board offers the performance, connectivity, and upgradeability necessary to deliver consistent and accurate facial recognition results in real-world environments.

 

Features:

  • Product Name: Face Recognition Motherboard
  • Biometric Identification Circuit Board with advanced Facial Recognition Technology
  • EMMC Storage: 8G EMMC for reliable data handling
  • Memory: 1G DDR 4 for efficient performance
  • Speaker Output: Supports 4R/3W Speakers for clear audio
  • Security: Enhanced security with Facial Scanning Logic Board integration
  • Warranty: 1 Year Limited Warranty for peace of mind
  • Facial Recognition Motherboard designed for accurate and fast biometric identification
 

Technical Parameters:

Warranty 1 Year Limited Warranty
USB Interface 5 : 4 USB2.0 - HOST, 1 USB2.0 - OTG
Security Facial Recognition Technology
Speaker Output Support 4R/3W Speakers
RTC Real Time Clock The Battery Supports Time Memory For 3 Years And Supports Timed Power On And Off
CPU RV1109 Dual-core ARM Cortex-A7 And RISC-V MCU
System Upgrade Support USB Cable / U Disk Upgrade
MIPI Camera Dual MIPI Cameras
Dimensions 103.01 * 64 * 1.6 mm
EMMC EMMC 8G
 

Applications:

The YNH 362 Facial Recognition Motherboard is a cutting-edge Biometric Identification Circuit Board designed to meet the growing demands for secure and efficient identity verification across various industries. Originating from Shenzhen and backed by UL certification, this advanced Facial Scanning Logic Board offers reliable performance and robust security features, making it an ideal solution for diverse application occasions and scenarios.

In corporate environments, the YNH 362 Facial Recognition Motherboard streamlines employee attendance and access control systems. Its facial recognition technology ensures that only authorized personnel gain entry, enhancing workplace security while simplifying the check-in process. The motherboard’s compatibility with Linux 4.19 operating system and its USB interface—featuring 5 USB2.0 HOST ports and 1 USB2.0 OTG port—allow seamless integration with existing hardware setups such as door controllers and time attendance devices.

Educational institutions benefit significantly from deploying this Facial Scanning Logic Board, as it provides a non-intrusive method for student identification and campus access management. By employing the YNH 362, schools can prevent unauthorized access, manage library checkouts, and monitor attendance with high accuracy. The support for 4R/3W speakers also enables audio feedback during the recognition process, enhancing user experience.

In healthcare settings, the Facial Recognition Motherboard plays a critical role in patient identification and secure access to sensitive areas. The embedded EMMC 8G storage ensures quick data processing and storage capabilities, enabling healthcare providers to maintain accurate records and uphold patient privacy standards effectively. The USB interface facilitates connection to various medical devices, expanding its utility in hospital management systems.

Retail and hospitality sectors can leverage the Biometric Identification Circuit Board to personalize customer experiences and enhance security. Integrating the YNH 362 with point-of-sale systems or hotel check-in kiosks allows for quick facial recognition, reducing wait times and improving service efficiency. The motherboard’s high supply ability of 5000 pcs per month and competitive pricing between 50 to 70 USD make it an economical choice for large-scale deployments.

Additionally, the product’s packaging of 100 pieces per box and a delivery time of 15 days ensure timely fulfillment of bulk orders, with flexible payment terms via T/T. Whether implemented in smart home systems, government facilities, or transportation hubs, the YNH 362 Facial Recognition Motherboard stands out as a reliable and versatile tool for secure biometric identification, delivering accuracy and convenience in every application scenario.

 

Customization:

YNH presents the Face Recognition Motherboard, model number 362, a high-performance Facial Identification Processing Unit designed for advanced biometric applications. Originating from Shenzhen and certified by UL, this Biometric Identification Circuit Board ensures reliability and quality for your security needs.

Equipped with a powerful RK3568 quad-core 2.0 GHz processor and an RV1109 dual-core ARM Cortex-A7 with RISC-V MCU, this Biometric Identification Circuit Board delivers fast and accurate facial recognition performance. It supports Ethernet 100M and comes with default 2.4G WiFi, with an option for 2.4G and 5G dual-band WiFi6, ensuring seamless network connectivity.

The motherboard supports 4R/3W speaker output and features an RTC real-time clock with a battery that maintains time memory for up to 3 years, enabling timed power on and off functionality. Packaged with 100 pieces per box, the minimum order quantity is 100 units, with a supply ability of 5000 pcs per month.

Priced between 50 to 70 USD, the delivery time is approximately 15 days. Payment terms are T/T, making this an excellent choice for businesses seeking efficient and customizable biometric identification solutions.

 

Support and Services:

Our Face Recognition Motherboard product is designed to provide advanced facial recognition capabilities with high accuracy and reliability. For optimal performance, please ensure that the motherboard is installed in a compatible system and that the latest firmware and drivers are used.

Technical support is available to assist with installation, configuration, and troubleshooting. Our support team can help diagnose issues related to hardware compatibility, software integration, and network connectivity.

We offer comprehensive services including firmware updates, software upgrades, and system optimization to ensure your face recognition system operates efficiently. Regular updates are recommended to maintain security and improve functionality.

For maintenance, it is advised to keep the motherboard clean and free from dust. Avoid exposure to extreme temperatures and humidity to prolong the lifespan of the device.

In case of hardware malfunction, please refer to the warranty terms and conditions for repair or replacement options. Our service center is equipped to handle repairs and provide technical consultations.

We also provide integration support for various platforms and applications to help you customize the face recognition system according to your specific needs.

Contact Us at Any Time

86-13824384697
Rooms 801-802, 8th Floor, Building A, Huizhi R&D Center, Xixiang Subdistrict, Bao'an District, Shenzhen, Guangdong Province, China
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