Hass avocado classification by color and volume using a Kinect sensor

Gustavo Andres Moreno H.; Manuel G. Forero; Felipe Gómez A.; Mauricio Ramírez N.

doi:10.1117/12.2529843

6 September 2019 Hass avocado classification by color and volume using a Kinect sensor

Gustavo Andres Moreno H., Manuel G. Forero, Felipe Gómez A., Mauricio Ramírez N.

Proceedings Volume 11137, Applications of Digital Image Processing XLII; 111371P (2019) https://doi.org/10.1117/12.2529843
Event: SPIE Optical Engineering + Applications, 2019, San Diego, California, United States

Abstract

In this article an automatic Hass avocado grading system is introduced. The equipment consists of a conveyor belt and an artificial vision system. The color classification was made by determining a color scale according to agricultural standards. From the depth image, the Z coordinate of the points was obtained and a function that represents the shape of the avocado was constructed. It was used to calculate the volume of the avocado. Fifty avocados were classified (one avocado per second). The volume found was validated by the immersion of the avocados in water and correlating the displacement with the estimated dimension.

Conference Presentation

Citation Download Citation

Gustavo Andres Moreno H., Manuel G. Forero, Felipe Gómez A., and Mauricio Ramírez N. "Hass avocado classification by color and volume using a Kinect sensor", Proc. SPIE 11137, Applications of Digital Image Processing XLII, 111371P (6 September 2019); https://doi.org/10.1117/12.2529843

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