“Object Detection and Dataset Labeling Using Colors of Manufactured Objects,” a Presentation from BASF

Ian Childers, Head of Technology for Functional Coatings—Object Recognition at BASF, presents the “Object Detection and Dataset Labeling Using Colors of Manufactured Objects” tutorial at the May 2021 Embedded Vision Summit.

This talk introduces a new method for object detection for consumer goods and other applications based on measuring an object’s illumination invariant fluorescent chroma. Chroma is a measure of the colorfulness of an object relative to a similarly illuminated white object. Reflective chroma changes with the illumination, making it a poor choice for object detection in different environments. Fluorescent chroma, however, is nearly illumination invariant, making it an ideal input for object detection algorithms if the fluoresced light can be separated from the reflected light.

Childers describes simple designs of illuminators, cameras, and filters to achieve that separation, and shows the classification accuracy of the system to be 95-100% under different lighting conditions using the nearest neighbors algorithm with neighborhood component analysis. BASF has designed hundreds of unique colors and coatings for consumer goods and other items that can be used in this application and the system has many advantages compared to CNN object detection systems, as it does not require extensive training sets or an unoccluded view of the object.

See here for a PDF of the slides.

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