Total Phase

How can I2C and SPI data be used to train AI models for edge devices?

Using I2C/SPI protocol analyzers, like our Beagle I2C/SPI Protocol Analyzer or the Promira Serial Platform with Analysis Applications, developers can capture real-time bus traffic from sensors, memory devices, and power management ICs, then use that data to train AI models for anomaly detection, predictive maintenance, and real-time monitoring at the edge.

In this application note, we explore:

• Capturing and exporting I2C/SPI datasets
• Training AI models on “normal” system behavior
• Deploying models onto edge devices for real-time inference

Learn more:

I2C/SPI Data Capture for AI Edge Devices Capture I2C & SPI data with Total Phase I2C/SPI protocol analyzers to train AI models and deploy edge AI for real-time monitoring and anomaly detection.