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http://dx.doi.org/10.6109/jkiice.2020.24.10.1280

Vision-based Food Shape Recognition and Its Positioning for Automated Production of Custom Cakes  

Oh, Jang-Sub (Department of Electronic Engineering, Korea National University of Transportation)
Lee, Jaesung (Department of Electronic Engineering, Korea National University of Transportation)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.24, no.10, 2020 , pp. 1280-1287 More about this Journal
Abstract
This paper proposes a vision-based food recognition method for automated production of custom cakes. A small camera module mounted on a food art printer recognizes objects' shape and estimates their center points through image processing. Through the perspective transformation, the top-view image is obtained from the original image taken at an oblique position. The line and circular hough transformations are applied to recognize square and circular shapes respectively. In addition, the center of gravity of each figure are accurately detected in units of pixels. The test results show that the shape recognition rate is more than 98.75% under 180 ~ 250 lux of light and the positioning error rate is less than 0.87% under 50 ~ 120 lux. These values sufficiently meet the needs of the corresponding market. In addition, the processing delay is also less than 0.5 seconds per frame, so the proposed algorithm is suitable for commercial purpose.
Keywords
Food printer; Accurate positioning; Image processing; Embedded system;
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Times Cited By KSCI : 2  (Citation Analysis)
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