Cheap SoM Can Support Facial Recognition, Other Apps

China-based MYIR (Make Your Idea Real) has announced a new, inexpensive System-on-Module that can be used to support facial recognition, among other applications. The MYC-LR3568 is built around the Rockchip RK3568 system-on-chip, featuring four Arm Cortex-A55 cores, a Mali-G52 graphics processor, and a neural coprocessor capable of up to 1 tera-operation per second (TOPS) for machine learning and artificial intelligence tasks.

The Mali-G52 graphics processor allows the module to display high-quality images and video smoothly. The neural coprocessor, which can perform up to 1 trillion operations per second, is especially significant because it enables the module to run advanced artificial intelligence and machine learning programs directly on the device. This means it can quickly and efficiently perform tasks like facial recognition without needing to rely on external servers, making it faster and more secure.

The MYC-LR3568 supports Linux and Debian operating systems, making it versatile for various uses such as IoT gateways, NVR storage, industrial control, human-machine interfaces (HMI), cloud terminals, and central vehicle controllers. This means the MYC-LR3568 can run on stable and widely-used operating systems, enabling reliable and efficient facial recognition in a variety of applications, from security systems to smart devices.

MYIR offers a development board to complement the module, which includes mini-DisplayPort, HDMI, two USB 3.0 ports, dual gigabit Ethernet, MIPI CSI and DSI, LVDS, microSD and M.2 storage, and GPIO pins. It also adds Wi-Fi and Bluetooth connectivity, enhancing its versatility and ease of use for developers.

The MYC-LR3568 is priced at $65, with a cost-reduced version featuring the Rockchip RK3568B2 available for $43. The accompanying development board is available for $139 or $99 with the RK3568B2, providing an affordable option for those looking to develop and deploy advanced, AI-powered applications.

Source: Hackster

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July 16, 2024 – by Ali Nassar-Smith

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