Revolutionize Industrial Control by Deploying Anomaly Detection Models in PLCs

About the Webinar

In today's industrial landscape, predictive maintenance and real-time monitoring are no longer just competitive advantages — they are essential in ensuring optimal performance and minimal downtime. While AI and ML may still feel like buzzwords in this space where hardened systems driven by PLCs rule, transforming raw data into actionable insights is now a reality (if you know where to start!).

In this presentation, discover how technologies from Arduino® , Edge Impulse, and Blues can seamlessly blend to revolutionize PLC-based anomaly detection.

• Arduino's Opta® PLC: Arduino® Opta® brings the simplicity and versatility of the Arduino® ecosystem into industrial environments. Learn how this powerful micro PLC, designed for flexibility and ease of integration, is an ideal platform for deploying Edge AI solutions.
• Edge Impulse for Machine Learning: Edge Impulse provides a cutting-edge platform for developing, deploying, and optimizing AI models on edge devices. Understand how to train and implement ML models specifically designed for anomaly detection on industrial data directly on your Opta® PLC, maximizing operational efficiency and minimizing unforeseen breakdowns.
• Blues for Wireless Connectivity: Explore how Blues' Wireless for PLC Expansion enables seamless, secure cellular connectivity, allowing your Opta® PLC to communicate with your cloud-based monitoring systems, regardless of location and without the hassle of local Wi-Fi.

By combining the power of the Arduino® Opta® PLC, intelligent anomaly detection of Edge Impulse, and the robust wireless connectivity solutions from Blues, you'll gain a comprehensive understanding of how to create a responsive, efficient, and reliable industrial automation system.

Register to watch on demand.