Sorting of Objects Using Image Processing

Autor:	Prajakta Lonkar, Meenakshi Uikey, Amit Maurya, Prashast Yadav, Sachin Kayande
Rok vydání:	2020
Předmět:	Computer science business.industry Feature extraction Process (computing) Sorting ComputerApplications_COMPUTERSINOTHERSYSTEMS Image processing Conveyor belt Object (computer science) Object detection Pneumatic cylinder Computer vision Artificial intelligence business
Zdroj:	2020 IEEE International Conference for Innovation in Technology (INOCON).
DOI:	10.1109/inocon50539.2020.9298360
Popis:	Sorting is a regular process for many industries and small businesses. The paper proposes a low-cost automated system using Deep Learning, Raspberry Pi 3 module B, and a conveyor belt system for sorting of various day to day products. Object sorting is done based on their features. The physical implementation includes a conveyor belt and a pneumatic piston, which is controlled by the Raspberry Pi for the sorting of the object. TensorFlow, with some libraries and methods, is used for the detection of the object.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::c6208871da7227d641ffe8aa986abdbe https://doi.org/10.1109/inocon50539.2020.9298360 Zobrazit plný text záznamu