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TI's Edge AI Processor Improves Accessibility and Cuts Power Consumption by Half

Google 우선 소스Published2022.06.03 10:29



Sitara™ AM62 Meets Form Factor Requirements and Enables Smart Design

The launch of a processor that increases accessibility to edge AI and cuts power consumption in half is expected to enable smart designs that can be applied anywhere while meeting future form factor requirements.

TI Korea (CEO Joong-seo Park) announced on the 3rd that it has recently launched the Sitara™ AM62 processor, which marks another milestone in the company's history of high-density processors.

This new processor helps extend edge AI processing to next-generation applications.
The product's low-power design makes it suitable for dual-screen displays and small human-machine interface (HMI) applications.

Next-generation HMIs offer new ways to interact with machines, such as using gesture recognition to command machines in noisy factories or controlling them wirelessly using smartphones or tablets.

In particular, by adding edge AI capabilities such as machine vision, analytics, and predictive maintenance to HMI applications, we are realizing a next-level HMI that goes beyond a simple interface and enables human-machine interaction.

The AM62 processor provides low-power analytics capabilities to edge devices, with power consumption as low as 7mW in suspension mode and no need for thermal design concerns. This gives engineers the flexibility to apply these capabilities in size-constrained applications or industrial environments.

The AM62 processor starts at less than $5 per unit and supports edge AI capabilities such as object detection and recognition along with basic camera-based image processing, enabling cost-effective analytics on HMI devices.

Additionally, the AM62 processor supports dual-screen full HD displays and supports a variety of operating systems, including Mainline Linux® and Android™, as well as both wired and wireless connectivity interfaces.

When used in industrial applications, the AM62 processor can reduce power consumption by up to 50% compared to competing devices.

This is enough to power AA battery-based applications for over 1,000 hours, and is made possible by simplifying the power architecture.
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