Matthew Goethel

In high-risk, asset-intensive environments, early detection of faults and anomalies is critical to maintaining uptime, reducing risk, and optimizing performance. This workshop explores how AI-powered visual inspection technologies are transforming traditional inspection methods. By combining deep learning, edge computing, and real-time image analysis, organizations can move from reactive maintenance to predictive, data-driven decision-making.

• Use real-time image and video analytics to detect early signs of wear, corrosion, or misalignment, reducing unplanned downtime and maintenance costs
• Leverage edge AI to monitor infrastructure remotely and at scale, with instant alerts and automated fault classification, especially valuable in hard-to-access or hazardous environments
• Replace manual inspections with automated, high-frequency analysis that supports faster, more accurate operational decisions
• Explore how visual AI compares and complements other technologies like natural language processing, robotics, and drone-based inspections, each with unique strengths and limitations
• Integrate visual insights into existing workflows and control systems, while addressing challenges like data overload, system integration, and workforce readiness
• Prioritize opportunities, select the right tools, and scale adoption across your operations 

Join us for a dynamic round of innovative AI applications! Each session, lasting 10 minutes, will showcase cutting-edge innovations designed to enhance visibility, productivity, and efficiency. Don't miss this opportunity to explore the latest advancements and see how they can transform your operations.