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Enfoque UTE

versión On-line ISSN 1390-6542versión impresa ISSN 1390-9363

Resumen

ALVEAR-PUERTAS, Vanessa; ROSERO-MONTALVO, Paul; PELUFFO-ORDONEZ, Diego  y  PIJAL-ROJAS, José. Internet of Things and Artificial Vision, Performance and Applications: Literature Review. Enfoque UTE [online]. 2017, vol.8, suppl.1, pp.244-256. ISSN 1390-6542.  https://doi.org/10.29019/enfoqueute.v8n1.121.

Internet of Things (or also known as IoT) is one of the technologies most named today because of the ability it envisages to connect all kinds of devices to the Internet. If to the potentialities of IoT we add another technology of high impact as It is the Artificial Vision we have a wide field of innovative applications, where the processing of images and video in real time allow the visualization of large amounts of data on the Internet. The main applications developed with IoT and Artificial Vision can be implemented in education, medicine, intelligent buildings, surveillance systems of people and vehicles, among others. This type of applications improves the quality of life of users, however, for their development an infrastructure is required that allows the convergence of different protocols and devices, but in a special way that can handle the different phases of the acquisition of images. In this work, a review of the beginnings, concepts, technologies and applications related to the Artificial Vision with the Internet of Things has been carried out to be able to understand in a precise way the impact of its application in daily life.

Palabras clave : IoT: IoT applications: artificial vision..

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