ONE Tech Launches World’s First Edge AI That Integrates and Builds AI Models Directly on MCUs

10
ONE Tech , a global leader in Edge AI technology, today announced the launch of the MicroAI ™ Atom Software Development Kit (SDK), now publicly available through the ONE Tech Developer Portal .

AI-powered solution enables users to build machine learning model directly on billions of compute-limited devices.

ONE Tech , a global leader in Edge AI technology, today announced the launch of the MicroAI ™ Atom Software Development Kit (SDK), now publicly available through the ONE Tech Developer Portal . This SDK download allows users to implement ONE Tech’s machine learning platform, MicroAI ™ Atom, directly on the device’s Microcontroller Unit (MCU).

The MicroAI ™ Atom SDK brings intelligence to the end point – the data source, thereby accelerating the development and adoption of machine learning models, while reducing the overall cost of deploying IT-based solutions. ‘IA.

The MicroAI ™ Atom SDK enables use cases for a variety of assets, including the following:

  • Connected devices (IoT devices, phones, handhelds)
  • Industrial equipment (robotic arms, welders, handling equipment, motors)
  • Public service infrastructure (smart meters, transformers, water treatment plants)
  • Household appliances (washing machines, dryers, refrigerators)
  • Automotive (vehicles, heavy equipment)

In a manufacturing use case, for example, it is particularly critical to build intelligence into manufacturing facilities; however, the existing methods require an overhaul of the equipment, which implies an expensive proposition. With the MicroAI ™ Atom SDK, these capabilities are available in a low compute microcontroller, enabling existing hardware to support machine learning and predictive maintenance of these facilities quickly and affordably.

Read MoreOvercoming Barriers to Edge Computing Adoption and Deployment

“This SDK for MicroAI ™ Atom is one-of-a-kind and dramatically improves time to market as it manages asset performance and predictive maintenance use cases, while reducing overall cost. deployment through the elimination of expensive hardware otherwise required to evaluate and develop the model, ”said Yasser Khan, CEO of ONE Tech. “In addition to developing this technology, our team of engineers created the framework that provides asset intelligence to developers around the world. “