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AI ML at The Edge Concepts

The demo shows how AI and machine learning at the edge can analyze device and environmental data in real time. It highlights three concepts: anomaly detection, generative AI interaction and pattern classification. An example use case is detecting EV charging cable theft, supported by the eIQ tool chain for data preparation, validation and deployment.

Learn more about NXP's AI/Machine Learning.

Key Highlights

Highlights the growing use of AI and machine learning at the edge
Shows how low-latency data enables real-time device insights
Demonstrates anomaly detection to identify devices operating outside normal parameters
Uses generative AI as an interface for operators, installers and maintenance engineers
Classifies large data sets to detect patterns such as EV charging cable theft

Resources

Artificial Intelligence
AI/ML Demo based on i.MX 93 Applications Processor
Agentic AI and the Enablement of the Autonomous Edge

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