An automatic sorting system for unwashed eggs using deep learning

Volume: 283, Pages: 110036 - 110036
Published: Oct 1, 2020
Abstract
Egg quality and safety are significant concerns of consumers and modern food industries. This study proposes a novel and precise assessment of egg sorting using a deep convolutional neural network (CNN), which is a state-of-the-art computer vision method to perform classification tasks. To classify unwashed egg images, VGG16 architecture was modified by a global average pooling layer, dense layers, a batch normalization layer, and a dropout...
Paper Details
Title
An automatic sorting system for unwashed eggs using deep learning
Published Date
Oct 1, 2020
Volume
283
Pages
110036 - 110036
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