Product Identification System Design Based on Deep Learning

Muhammet Rasit Cesur, Elif Cesur, Ismail Hakki Cedimoglu, Orhan Torkul, Alper Okuyan


Product identification approach has become a crucial issue for the inventory monitoring process. Because of the enhanced product spectrum and many shipment points, it is quite likely to send incorrect orders to the customer erroneously. With the help of this proposed model, particular troubles during product shipment could be solved. In this study, it is aimed to not only delivery right product to the right consumers but also ensures Kanban system inside the facility by performing product identification procedure. Within the scope of this study, a technology - industry integrated system has been designed by using convolutional neural network architecture.

Keywords: Convolutional Neural Network, Deep Learning, Product Identification

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ISSN (online) 2422-8702