Issue link: https://resources.mouser.com/i/1499313
26 BRINGING INTELLIGENCE TO THE EDGE • Advanced signal processing: Reality AI automatically searches a wide range of signal-processing transforms to create a custom, optimized feature transform. • MCU/MPU edge nodes: Reality AI runs on almost every MCU and microprocessor (MPU) core available from Renesas, with new ones added constantly. Reality AI also supports Renesas Motor Control boards. • Data visualization: The platform offers a user-friendly interface that allows businesses to visualize their data in real time. This can be useful for monitoring operations and identifying trends or issues as they occur. Applications of Reality AI The Reality AI platform has a wide range of applications in numerous industries, including industrial automation; heating, ventilation, and air conditioning (HVAC); and automotive. The following are just a few examples of how the platform could be used: • Industrial anomaly detection: Through a hardware and software solution for equipment monitoring and end-of-line testing for quality control, users can deploy an edge node with one or more included sensors and begin monitoring production equipment for unusual or anomalous functions. • HVAC and refrigeration systems: By combining ML and edge processing and using data such as vibration and electrical signals, this application can potentially predict a wide array of anomalies, faults, and operating conditions. • Automotive sound recognition: By analyzing audio data, the solution can detect and localize potential hazards (e.g., emergency vehicles, motorcycles) that may be hidden from view from line-of-sight sensors. • Predictive maintenance: By analyzing sensor data from industrial machines, the platform can identify potential issues before they occur. This can prevent costly downtime and repairs and increase the lifespan of the machines.