This paper proposes a vision-based online fruit and vegetable inspection system. This system consists of two parts: the online detection of fruits and vegetables and the online weighing measurement of fruits and vegetables. Online detection system can detect the species of fruits and vegetables, and through the database to get the unit price of fruits and vegetables. The image processing includes image pre-processing, filtering, background removal, noise filtering and hole filling for recognition, and analysis of blocks. The weight of the fruits and vegetables is obtained by gravity sensor. Prices of fruits and vegetables can be displayed in real time in order to achieve the goal of unattended retail. This study built an online fruits and vegetables detection system which may be accelerated in the future for commercial uses.
CITATION STYLE
Zhou, H., Chen, X., Wang, X., & Wang, L. (2018). Design of fruits and vegetables online inspection system based on vision. In Journal of Physics: Conference Series (Vol. 1074). Institute of Physics Publishing. https://doi.org/10.1088/1742-6596/1074/1/012160
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