Industrial Control

Revolutionize Industrial Control by Deploying Anomaly Detection Models in PLCs

Revolutionize Industrial Control

by Deploying Anomaly Detection Models in PLCs

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Watch On-Demand: Transform Your Industrial Control Systems with Edge AI

In today's competitive industrial landscape, predictive maintenance and real-time monitoring are no longer optional features, they are fundamental requirements for ensuring optimal performance and minimal downtime. While AI and ML technologies continue to evolve beyond buzzwords, the integration of intelligent anomaly detection into hardened industrial control systems is now a proven reality.

This comprehensive webinar demonstrates how cutting-edge technologies from Arduino®, Edge Impulse, and Blues seamlessly integrate to revolutionize PLC-based anomaly detection capabilities.

Key Technologies

Arduino's Opta® PLC

The Arduino® Opta® brings the renowned simplicity and versatility of the Arduino® ecosystem directly into demanding industrial environments. Built on the robust STM32 H7 microcontroller, this powerful micro PLC delivers significant processing power at a fraction of traditional PLC costs, making it an ideal platform for deploying advanced Edge AI solutions in industrial control applications.

Edge Impulse

Edge Impulse provides a revolutionary platform for developing, deploying, and optimizing AI models specifically designed for edge devices. Learn how to train and implement sophisticated ML models for anomaly detection that analyze industrial data directly on your Opta® PLC, maximizing operational efficiency while minimizing unexpected equipment failures and costly downtime.

Blues Wireless Connectivity

Discover how Blues' innovative Wireless for PLC expansion module enables robust, secure cellular connectivity for your anomaly detection systems. This solution allows your PLC to maintain constant communication with cloud-based monitoring platforms, ensuring reliable industrial control regardless of location and eliminating dependence on potentially unreliable local Wi-Fi networks.

What You'll Learn About Industrial Control

Real-Time Anomaly Detection:

  • Deploy machine learning models directly on PLCs for instant anomaly detection
  • Analyze critical parameters like temperature, sound, and vibration in real-time
  • Achieve detection speeds as fast as 19 milliseconds for immediate industrial control responses

Advanced Industrial Control Integration:

  • Understand how modern PLCs can run sophisticated AI models locally
  • Learn to reduce latency and improve response times in industrial control systems
  • Implement bi-directional communication between edge devices and cloud platforms

Practical Industrial Control Applications:

  • Transform raw industrial data into actionable insights for better control decisions
  • Create responsive, efficient, and reliable industrial automation systems
  • Implement secure, private connectivity solutions for sensitive industrial control data

The Future of Industrial Control Systems

This webinar recording provides essential insights for engineers, system integrators, and industrial professionals looking to modernize their infrastructure with proven AI and connectivity technologies.

Ready to revolutionize your industrial systems? Watch the webinar recording to discover how these integrated technologies can transform your operations and provide the competitive edge your business needs in today's demanding industrial landscape.

Learn how wireless connectivity can further enhance PLC based anomaly detection for seamless cloud integration and actionable insights

Our Speakers

Rob Laur
TJ Van Toll
David Tischler
Eoin Jordan
Francesca Gentile

The opinions expressed in this presentation, in the included slides, and in transcripts are solely those of the presenters and not necessarily those of Blues.
Blues does not guarantee the accuracy or reliability of the information provided herein.