Imagimob’s Edge AI Solutions Now Support AURIX™ Family
Imagimob, an Infineon Technologies AG company, has enhanced its automotive machine learning portfolio by integrating machine learning capabilities into Infineon’s Automotive ASIL-D complaint MCUs like AURIX™ TC3x and AURIX TC4x. “The integration of secured and dependable AI capabilities into microcontroller families is crucial for advancing autonomous driving applications in the automotive industry,” said Thomas Boehm, Senior Vice President Microcontroller at Infineon. “We are proud that our AURIX microcontrollers are now supported by Imagimob Studio, making them accessible to developers worldwide. This highlights our role as a leading innovator in the industry.”
“With the integration of AURIX into our Imagimob Studio, we are bringing full machine learning (ML) compatibility and capabilities to the automotive sector,” said Alexander Samuelsson, CTO of Imagimob. “This means that all the use cases we support with our platform are now also available for Infineon’s AURIX microcontrollers.”
With Imagimob Studio, developers can now create robust ML models for the Edge and deploy them onto Infineon’s proven AURIX MCUs. The process starts with creating machine learning models in Imagimob Studio. Once the AI model is complete, users can select to deploy on the MCUs directly within the platform. They are then guided through steps on how to deploy the code seamlessly, simplifying the implementation of machine learning on MCUs and enabling the creation of sophisticated ML models. In addition, Imagimob Studio offers a sample project for siren detection, demonstrating model creation and deployment. By using the code example, users can also learn how to create acoustic models with AURIX MCUs and a microphone shield. Furthermore, Imagimob has developed new regression models that can be used to calculate remaining battery power, health status, and usage time.
