Machine Vision is transforming industrial inspection by enabling automated, data-driven evaluation of assets across manufacturing and instrastructure sectors. This talk explores the machine vision innovation pipeline--from compiling meaningful datasets and developing robust algorithms to deploying interoperable, real-world solutions. Emphasis will be placed on how inspection results can inform industrial asset life-cycle management when integrated with standardized frameworks, cloud computing, and industrial IoT platforms. This talk will also discuss how machine vision data feeds into digital twins for real-time monitoring, predictive maintenance, and system optimization.