Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12394/7565
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dc.contributor.authorAuccahuasi Aiquipa, Wilver-
dc.contributor.authorFlores, Edward-
dc.contributor.authorSernaque, Fernando-
dc.contributor.authorFuentes, Alfonso-
dc.contributor.authorCueva, Juanita-
dc.contributor.authorOré Núñez, Elizabeth-
dc.date.accessioned2020-07-03T21:41:32Z-
dc.date.available2020-07-03T21:41:32Z-
dc.date.created2020-
dc.date.issued2019-10-01-
dc.identifier.citationAuccahuasi, W., Flores, E., Sernaque, F., Fuentes, A., Cueva, J., Oré, E. (2019). Integrated Low-Cost Platform for the Capture, Processing, Analysis and Control in Real Time of Signals and Images. ACM International Conference Proceeding Series, 1(1), 35-39. https://doi. 10.1145/3365245.3365249es_ES
dc.identifier.urihttps://hdl.handle.net/20.500.12394/7565-
dc.description.abstractIn the development of projects where hardware and software components are included, electronic components such as sensors, actuators, control mechanisms, artificial vision equipment are used, these require a base platform to be inserted, most of these components require different mechanisms to be used, such as connectors and interfaces, which determines the implementation of a complex system made up of different technologies and communication protocols, added to this problem is the different energy requirements so the system ends up performing a high energy consumption, the proposal presented is the use of the NVIDIA Jetson TK1 development platform, which is equipped with many alternatives to connect a series of sensors and actuators, cameras and other devices, as well as a powerful processing unit graph GPU from where you can perform image processing ny video in the same platform, managing to reduce the size of the solution with a considerable saving in energy consumption, likewise if the solution considers time as a critical factor, it also presents the configuration of being able to work through a time system real, managing to be able to control the access time to the resources of the system and to the devices connected to the development platform. The platform is composed of an ARM Cortex-A15 CPU, an NVIDIA Kepler GPU equipped with 192 CUDA cores, RS232 serial port, UART, GPIO, i2c, as main features.es_ES
dc.formatapplication/pdfes_ES
dc.format.extentp. 35-39es_ES
dc.language.isoenges_ES
dc.publisherUniversidad Continentales_ES
dc.relationhttps://dl.acm.org/icps?AllProceedings=Integrated+Low-Cost+Platform+for+the+Capture%2C+Processing%2C+Analysis+and+Control+in+Real+Time+of+Signals+and+Imageses_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/es_ES
dc.sourceUniversidad Continentales_ES
dc.sourceRepositorio Institucional - Continentales_ES
dc.subjectProcesamientoes_ES
dc.subjectTiempo reales_ES
dc.subjectSensoreses_ES
dc.subjectInterfazes_ES
dc.titleIntegrated Low-Cost Platform for the Capture, Processing, Analysis and Control in Real Time of Signals and Imageses_ES
dc.title.alternativePlataforma integrada de bajo costo para la captura, procesamiento, análisis y control en tiempo real de señales e imágeneses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.licenseAttribution 4.0 International (CC BY 4.0)es_ES
dc.rights.accessRightsAcceso abiertoes_ES
dc.identifier.journalACM International Conference Proceeding Serieses_ES
dc.identifier.doi10.1145/3365245.3365249es_ES
Appears in Collections:Artículos Científicos

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