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As the price of machine vision hardware becomes more affordable, many manufacturers are seeking to leverage digital image data to achieve a variety of analytics and automation goals.

This presentation will discuss trends, advancements and considerations for effectively implementing color, thermal, 3D and polarized imaging to intelligently capture a variety of visual and non-visual product and process characteristics. Algorithms for calculating advanced image features and combining these features to predict key metrics will also be discussed.

Examples across a variety of industries will be provided to illustrate real-time monitoring and soft-sensor quality prediction accomplished through machine vision.