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Solution of Edge Computing Access Control Screen Based on FET3568-C SoM

forlinx-embeddedforlinx embedded wrote 03/13/2024 at 02:30 • 2 min read • Like

Edge Computing Access Screen is designed to provide an edge computing-based solution for access control systems. It can realize face recognition, data processing, fingerprint recognition and other functions, and improve the security and convenience of the access control system. In terms of application scenarios, intelligent monitoring and access control system is an important part of intelligent building security. The application of edge computing technology can increase the monitoring effect and response speed, avoid the security risks in the process of data transmission, and protect the privacy of users. Edge computing devices can process authentication faster and improve the response speed and security of access control systems.

Solution of Edge Computing Access Control Screen Based on FET3568-C system on module

Hardware requirements for edge computing access control screen

(1) Processor

Select a high-performance and low-power embedded processor, the processor itself needs to come with arithmetic power to meet the needs of edge computing.

(2) Memory

Configure appropriate memory and flash for system and application data.

(3) Interface

Provide necessary interfaces between the carrier board and other devices, such as GPIO, UART, I2C, SPI, etc.

(4) Communication module

Support Wi-Fi or 4G to facilitate data transmission with the cloud platform.

(5) Sensor

Integrate multiple sensors, such as face recognition, fingerprint recognition, and RF card reader.

Edge Computing Access Control Screen Design

Solution of Edge Computing Access Control Screen Based on FET3568-C system on module

The FET3568-C SoM is recommended to be used as the hardware platform of edge computing access control screen. The system on module has a quad-core ARM Cortex-A55 processor with a main frequency of 2.0 GHz, and its own NPU has a computing power of 1TOPS, which can meet the needs of lightweight edge computing tasks.

Originally published at www.forlinx.net.

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