Edge Machine Learning

TinyML brings machine learning to low-power IoT devices and lets them transform raw sensor data into meaningful insights in real time. With TinyML, running ML on the edge lets you process sensor data on the device and put intelligence at the IoT edge while avoiding privacy and latency issues caused by sending data to the cloud. With key ML partnerships, Infineon makes tool flow and inference model development easy for anyone, even people just getting started.  

Build your own model with ModusToolbox™ ML

Building and deploying ML for embedded devices has many challenges including optimizing trained ML models for embedded devices, validating model performance, and generating model code and libraries. ModusToolbox™ ML lets you rapidly evaluate and deploy ML applications on low-power edge devices. With configurators, tools, code examples, and supporting libraries it lets you evaluate and benchmark pre-trained ML models created from frameworks like TensorFlow, Keras, and PyTorch.

Train your own model

Building your own AI models can be a complex and expensive effort that can be difficult for anyone to take on. Infineon has worked with key ML partners to provide developers a seamless process for things like recognizing patterns in sensor data, wake word detection, training ML models, and deploying realtime inferencing models. Each of these partners Cyberon | Edge Impulse | SensiML let you quickly deploy models with seamless integration with ModusToolbox™. 

Predictive maintenance

ML presents the promise of detecting upcoming system failures for crucial HVAC elements such as filters, compressors, motors, and fans. With the XENSIV™ predictive maintenance evaluation kit you can start evaluating sensor-based condition monitoring and predictive maintenance use cases for HVAC. We have created a demo using the kit that shows Infineon sensors and edge ML from our partner MicroAI to detect anomalies and infer predictions on impending failures. 

Download our whole IoT solutions brochure to have all information available in one document

In this guide you will find: 

  • System-level references
  • Examples of critical leading technologies in the IoT space
  • Brief on Infineon’s software development tool
  • Snapshot of Infineon’s product portfolio

How to get the guide:

  1. Login/Register to MyInfineon
  2. Download the brochure here