AI-Enabled Computer Vision for Real-Time Adaptive Quality Inspection

In many cases, manufacturers still must rely on human inspection methods and non-destructive tests due to limitations of automated methods in detecting and diagnosing complex defects. To keep the competitive edge, manufacturers need to be able to mitigate quality issues in real-time to avoid defects that result in costly rework operations or scrapped parts.

About the Project

MxD is excited to release a Request for Proposal (RFP) to fund the development and demonstration of a solution that leverages artificial intelligence (AI) and computer vision technologies to achieve real-time, in-situ adaptive quality inspection. In many cases, manufacturers still must rely on human inspection methods and non-destructive tests due to limitations of automated methods in detecting and diagnosing complex defects. To keep the competitive edge, manufacturers need to be able to mitigate quality issues in real-time to avoid defects that result in costly rework operations or scrapped parts. Manufacturers often lack the infrastructure, tools, and cultural acceptance needed to adopt AI-enabled computer vision technologies for quality inspection.

RFP responses are due on or before
Thursday, June 25, 2020, 5:00 p.m. CT

If you are interested in viewing presentations from the Pitch Session for this RFP, please email projects@mxdusa.org.

Download the RFP

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