Edge computing, as a new-type architecture that decentralizes computing power to the terminal, is widely empowering Internet of Things (IoT) applications in various industries, significantly enhancing the real-time performance and reliability of systems. In the typical scenario of access control systems, traditional solutions struggle to meet the requirements of high concurrency, high real-time performance, and high security in modern access scenarios due to limited local computing power, high network latency, and excessive reliance on the cloud. An intelligent access control system integrated with edge computing technology can greatly improve the response speed and system stability by completing identity verification and data processing on-site. It has become an important direction for industry upgrading.

1. Demand Upgrade Spurs Technological Innovation

As users' requirements for access management experience continue to increase, access control systems are no longer limited to traditional card-swiping and password verification. They are gradually evolving towards a more intelligent, flexible, and efficient direction. Here, list three main upgrade directions:

• (1) Intelligent identity recognition: If users expect seamless access, the system needs to support AI capabilities such as face recognition and voice interaction to enhance convenience while ensuring security;
• (2) System expansion and customization capabilities: Diverse requirements for the functions of access control systems are put forward in multiple business scenarios. Therefore, access control systems should have good scalability and be able to flexibly connect to various functional modules;
• (3) Fast-response experience: During peak hours in public places, the access control system must complete identity verification in a very short time to avoid delays and recognition errors.

2. RK3568 SoM Empowers Intelligent Access Control

To address the new challenges brought by new requirements, Forlinx Embedded recommends using the FET3568-C SoM as the main control solution for the edge-computing-based intelligent access control system. This platform has many advantages that can specifically improve the overall performance of the access control system:

(1) Powerful computing power for smooth AI inference:

The Forlinx Embedded FET3568-C SoM is equipped with the Rockchip RK3568 high-performance processor, which adopts a quad-core Cortex-A55 architecture with a maximum main frequency of 2.0GHz and has a built-in independent NPU with a computing power of 1TOPS; It can smoothly support edge AI applications such as lightweight face recognition and voice recognition, meeting the dual needs of real-time performance and accuracy of intelligent access control.

(2) Rich interfaces for flexible expansion:

The Forlinx Embedded FET3568-C SoM provides rich interfaces such as USB 3.0, GPIO, UART, I2C, and SPI, which can be widely connected to various recognition modules (such as face, fingerprint, iris, etc.) and sensor devices, facilitating system customization and secondary development by customers to meet the functional integration requirements of different scenarios;

(3) Large-memory configuration to ensure multi-task response:

The FET3568-C SoM has an on-board LPDDR4x running memory with a maximum option of 8GB and a storage option of 64GB eMMC, ensuring that the system can efficiently process multiple video streams and concurrent recognition tasks, greatly improving the recognition speed and system fluency and avoiding response delays caused by insufficient memory;

(4) Diverse system support:

In addition to the above-mentioned hardware advantages, Forlinx Embedded has also adapted multiple operating systems such as Linux, Android 11, Ubuntu, Debian 11, Linux-RT, and OpenHarmony for the FET3568-C SoM and ensured their stable operation through multiple tests to meet the needs of different users in different fields and scenarios;

3. Conclusion

The Forlinx Embedded FET3568-C SoM provides efficient and reliable edge-computing underlying support for intelligent access control systems with its powerful computing power, rich interface resources, and flexible large-memory configuration. This solution not only significantly improves the identity recognition rate and system response ability, meeting the requirements of intelligent expansion in multiple scenarios, but also effectively enhances data security and system stability through local processing, helping the access control system achieve a key upgrade from "access management" to "intelligent perception".