Eigen Machine Vision is a suite of software tools and engineering services that helps manufacturers in both discrete and continuous manufacturing unlock the value of image data to better manage product and process variability across their machines, lines, and factories. It features Intel®-powered, OpenVINO™- optimized Edge devices that ingest image data from camera sensors and process data from machines and PLCs. Data is enhanced, standardized, and correlated to create a digital twin of each monitored part. These digital records are then used to create machine learning models that are pushed back to the Edge devices enabling real-time prediction of process and quality drift. When deployed across multiple machines and lines, the standardized data allows for advanced analytics and insights, providing consistent metrics and the ability to drive broader continuous improvement. Eigen Machine Vision is a modular platform. As a complete solution, it gives manufacturers, integrators, and automation solution providers a scalable product and process intelligence platform. Deployed separately, the tools and services can upgrade existing machine vision systems that enable enterprise-wide digital transformation and automation. Manufacturers that have deployed Eigen Machine Vision are mitigating the risk of defects, reducing waste and equipment downtime, and realizing hundreds of thousands of dollars in savings per line annually. While it has been designed for deployment across various manufacturing applications, Eigen has developed several application-specific solutions: Eigen Vision for Plastics; Eigen Vision for Metal Parts; Eigen Vision for Paint; Eigen Vision for Textiles, and Eigen Vision for Paper. Additional information about these solutions and specific case studies are available in the collaterals attached to this solution overview.