Computer vision system for egg volume prediction using backpropagation neural network

International Conference on Informatics, Technology and Engineering 2017

计算机科学

Siswantoro, J.^1 ; Hilman, M.Y.^1 ; Widiasri, M.^1

Department of Informatics Engineering, University of Surabaya, Raya Kalirungkut, Surabaya

60293, Indonesia^1

关键词: Back propagation neural networks;    Computation time;    Computer vision system;    Egg sorting system;    Input features;    Measurement problems;    Sorting process;    Volume predictions;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/245/1/012002/pdf
DOI  :  10.1088/1757-899X/245/1/012002

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

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.