Use este identificador para citar ou linkar para este item: https://hdl.handle.net/20.500.12394/10289
Título: Design of an Automated Machine that Projects Ultraviolet Rays for the Safety of Food Products for Supermarkets
Autor(es): Chamorro Quijano, Sario Angel
Figueroa Bados, Jhon Stalin
Cruz Esteban, Dominick Marco
Coaquira Rojo, Carlos Alberto
Moggiano, Nabilt
Palavras-chave: Mecatrónica
Control de procesos
Compañías
Editor: Universidad Continental
Data do documento: 2021
metadata.dc.date.available: 16-Nov-2021
Citação: Chamorro, S., Figueroa, J., Cruz, D. (y otros 2) (2021). Design of an Automated Machine that Projects Ultraviolet Rays for the Safety of Food Products for Supermarkets. Proceedings - 2021 10th International Conference on Industrial Technology and Management, ICITM 2021, 1(1), 1-13. http://dx.doi.org/10.1109/ICITM52822.2021.00036
metadata.dc.identifier.doi: http://dx.doi.org/10.1109/ICITM52822.2021.00036
Resumo: This research presents the design and control of a machine for use in shopping centers and markets, which has been designed using mechatronic systems and artificial intelligence. In this research, a control is established for each moment of use, thus being more autonomous and efficient. The development of the project shows that the action of a reconnaissance camera with artificial intelligence before the disinfection chamber and mechanized pivoting arms at the outlet improves the autonomy of the machine. Also, a control panel was added that regulates the selection and control process in case of inconveniences; In addition, the type C UV disinfection chamber is covered with ABS polymer to prevent the rays from going outside. From the above, the mechatronic system implemented will improve the quality and disinfection time of the products in supermarkets.
metadata.dc.description.note: El texto completo de este trabajo no está disponible en el Repositorio Institucional - Continental por restricciones de la casa editorial donde ha sido publicado.
metadata.dc.relation: Proceedings - 2021 10th International Conference on Industrial Technology and Management, ICITM 2021
Extension: p. 1-13
metadata.dc.rights.accessRights: Restringido
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