Autors: Hristov, V. D., Slavov, D. V., Damyanov, I. S., Mladenov, G. D.
Title: Machine Learning for Automation of Warehouse Activities
Keywords: machine learning, machine vision, raspberry pi, semantic seg

Abstract: This paper presents machine learning approaches for automation of activities in warehouses. Integrating machine learning in supply chain management can help automate a number of mundane tasks and allow enterprises to focus on more strategic and impactful business activities. The various machine learning models presented are designed to work with low-cost hardware. The models were studied with different sizes of the input data and the most appropriate ones were selected according to set criteria. Their ability to run on Raspberry Pi single-board computer has been explored and performance characteristics in inference mode have been experimentally established.



    International Conference on Energy Efficiency and Agricultural Engineering (EE&AE), 2022, Bulgaria,

    Цитирания (Citation/s):
    1. Adrian Gomez Alvarez, Luis Carlos Méndez-González, Luis Rodríguez-Picón, Ivan Perez Olguin, Control de un Almacén Automatizado por Medio de Python y con una Interfaz Gráfica, Academia Journals Morelia 2023, Morelia, Michoacán, México, Vol. 15, No. 4, 2023, SSN online 1946-5351 - 2023 - от чужди автори в чужди издания, неиндексирани в Scopus или Web of Science

    Вид: постер/презентация в международен форум, публикация в реферирано издание, индексирана в Scopus