Computer vision system for egg volume prediction using backpropagation neural network

Siswantoro, Joko and Hilman, M.Y. and Widiasri, Monica (2017) Computer vision system for egg volume prediction using backpropagation neural network. In: International Conference on Informatics, Technology and Engineering 2017 (InCITE 2017), 24-25 August 2017, Bali.

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Abstract

Volume is one of considered aspects in egg sorting process. A rapid and accurate volume measurement method is needed to develop an egg sorting system. Computer vision system (CVS) provides a promising solution for volume measurement problem. Artificial neural network (ANN) has been used to predict the volume of egg in several CVSs. However, volume prediction from ANN could have less accuracy due to inappropriate input features or inappropriate ANN structure. This paper proposes a CVS for predicting the volume of egg using ANN. The CVS acquired an image of egg from top view and then processed the image to extract its 1D and 2 D size features. The features were used as input for ANN in predicting the volume of egg. The experiment results show that the proposed CSV can predict the volume of egg with a good accuracy and less computation time.

Item Type: Conference or Workshop Item (Paper)
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Engineering > Department of Informatic
Depositing User: Joko Siswantoro
Date Deposited: 29 Nov 2017 01:37
Last Modified: 29 Nov 2017 01:37
URI: http://repository.ubaya.ac.id/id/eprint/31234

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