Overview
Description
MicroAI AtomML™ brings big infrastructure intelligence down into a single piece of equipment or device. AtomML deploys directly onto Renesas RA-based assets and enables the training of machine learning models directly on the MCU. Furthermore, AtomML trains and runs within the MCU environment, reducing the amount of data that needs to leave the device, providing a more efficient method for performing asset health analytics while simultaneously enhancing security oversight.
Image
Features
- Detect and respond to performance issues by analyzing behavior in real-time
- Optimize the maintenance schedule to eliminate unnecessary machine servicing
- Identify and remediate critical issues faster
- No need for data science for deployment – MicroAI AtomML™ automatically forms the ML models
- Detect abnormal network behavior in real-time
- Agnostic to sensor data input, enabling a wide-array of AI-powered use cases
- Predictive analytics to foresee and prevent unwanted variability
- Increase hardware reliability and productivity
Comparison
Applications
- IoT/IIoT, Smart Factory, Embedded AI
- Asset Management/Connectivity, Asset Performance Optimization, Predictive Maintenance
- Security, Endpoint Threat Detection, Workflow Automation