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Proceedings Paper

Development of video technology to analyze dynamics of inertia-based apple orientation
Author(s): Alan M. Lefcourt; Priya Narayanan; Uri Tasch; Rouben Rostamian; Moon S. Kim; Yud-Ren Chen
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Paper Abstract

Development of machine vision systems to examine fruit for quality and contamination problems has been stalled due to lack of an inexpensive, fast, method for appropriately orienting fruit for imaging. We recently discovered that apples could be oriented based-on inertial properties. Apples were rolled down a ramp consisting of two parallel rails. When sufficient angular velocity was achieved, the apples moved to a configuration where the stem/calyx axis was perpendicular to the direction of travel. This discovery provides a potential basis for development of a commercially-viable orientation system. However, many question remain concerning the underlying dynamic principles that govern this phenomenon. An imaging system and software were constructed to allow detailed observation of the orientation process. Sequential 640×480 monochrome images are acquired at 60 fps and 1/500 sec exposure. The software finds the center of the apple in each image as well as the vertical movement of the track at a selected coordinate. Early tests revealed that the compliance of the track played a significant role in the orientation process. These data will be used to compare results from empirical tests with predictions of dynamic models.

Paper Details

Date Published: 23 October 2006
PDF: 7 pages
Proc. SPIE 6381, Optics for Natural Resources, Agriculture, and Foods, 63810Q (23 October 2006); doi: 10.1117/12.687039
Show Author Affiliations
Alan M. Lefcourt, USDA Agricultural Research Service (United States)
Priya Narayanan, Univ. of Maryland, Baltimore County (United States)
Uri Tasch, Univ. of Maryland, Baltimore County (United States)
Rouben Rostamian, Univ. of Maryland, Baltimore County (United States)
Moon S. Kim, USDA Agricultural Research Service (United States)
Yud-Ren Chen, USDA Agricultural Research Service (United States)


Published in SPIE Proceedings Vol. 6381:
Optics for Natural Resources, Agriculture, and Foods
Yud-Ren Chen; George E. Meyer; Shu-I Tu, Editor(s)

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