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 11, 2020, 5:00 p.m. CT

Please join MxD's community for a virtual proposal concept pitch session. The purpose of the Pitch Session is to enable individuals and organizations that have already begun to form teams the chance to share a snapshot of their solution to the 20-02 RFP and receive preliminary feedback from the MxD community. In addition, this will be an excellent teaming opportunity for individuals and groups that identify synergies between their pitches.

Individuals who wish to attend must register online. In addition, individuals or teams who wish to share a pitch, must email projects@mxdusa.org. See the PPK Overview for detailed instructions.

Sign up to present by Thursday, March 26, 2020, 5:00 p.m. CT

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