Case Study: Improving the Reliability of the Assembly Line Using AI-Powered Compute Vision Technology

Case Study: Improving the Reliability of the Assembly Line Using AI-Powered Compute Vision Technology

This IDC Perspective explores how Skoda Auto leverages AI-based technology to increase the availability and reliability of its assembly line conveyors. Skoda deploys a solution called Magic Eye that uses compute vision technology to collect, monitor, and analyze equipment data, identify vulnerabilities, and evaluate different breakdown scenarios before they create a problem. This report provides readers with a view of the company's business decision-making process and a description of the technology involved."In a continuous production flow environment, such as the assembly line of an automobile manufacturer, there is constant pressure to ensure asset availability and reliability. Unplanned disruptions can negatively impact the entire production chain, resulting in costly downtime and possible delay of the final product delivery date. One of the most effective ways to tackle such a challenge is to deploy AI-powered compute vision technology coupled with a simple and intuitive UX. Such a solution represents a powerful tool for everyday use on the factory shop floor." — Associate Vice President Jan Burian, Future of Operations Europe, Manufacturing Insights EMEA

Please Note: Extended description available upon request.