Internet of Things and Artificial Vision, Performance and Applications: Literature Review

  • Vanessa Alvear-Puertas Universidad Técnica del Norte
  • Paul Rosero-Montalvo Universidad Técnica del Norte
  • Diego Peluffo-Ordóñez Universidad Técnica del Norte
  • José Pijal-Rojas Instituto Tecnológico Superior 17 de Julio
Keywords: IoT, IoT applications, artificial vision

Abstract

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.

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References

Akkaya, K., Guvenc, I., Aygun, R., & Pala , N. (2015). IoT-based occupancy monitoring techniques for energy-efficient smart buildings. Wireless Communications and Networking Conference Workshops (WCNCW), 2015 IEEE, (págs. 58-63). New Orleans, LA.
Álvarez, M. (2014). Análisis, diseño e implementación de un sistema de control de ingreso de vehículos basado en visión artificial. Cuenca.
Alvear, V. (2016). Sistema de Monitoreo Facial que brinde estimadores de desconcentración del estudiante universitario dentro del aula de clase a escala de laboratorio.
Ansari, A. N., Sedky, M., Sedky, M., & Tyagi, A. (2015). An Internet of things approach for motion detection using Raspberry Pi. Proceedings of 2015 International Conference on Intelligent Computing and Internet of Things, ICIT 2015, (págs. 131-134).
B. Fabian and O. Gunther. (2007). “Distributed ons and its impact on privacy,. IEEE International Conference, 1223–1228.
Bagula, D. A. (2013). INTERNET OF THE THINGS (IoT):An introduction to wireless sensor. ISAT Laboratory, University of Cape Town, South Africa , 43. Obtenido de http://wireless.ictp.it/school_2013/Lectures/Internet-of-the-Things-Middleware-Introduction-ICTP-March2013-latest.pdf
Baroffio, L., Bondi, L., Cesana, M., Redondi , A., & Tagliasacchi, M. (2015). A Visual Sensor Network for Parking Lot Occupancy Detection in Smart Cities. Internet of Things (WF-IoT), 2015 IEEE 2nd World Forum on, (págs. 745 - 750). Milan.
Bradski, G., & Kaebler, A. (2008). Learning OpenCV. Cambridge: O’Reilly Media, Inc.
Cárdenas, M., & Lerena, O. (2012). Automatizacion de un sistema de centrado de componentes utilizando visión artificial. Cuenca: UPS.
Chen, S., Xu, H., Liu, D., Hu, B., & Wang, H. (2014). A Vision of IoT: Applications, Challenges, and Opportunities With China Perspective. IEEE Internet of Things Journal, 349-359.
CISCO. (2013). Education and the Internet of Everything. Cisco Consulting Services and Cisco EMEAR Education Team, 1-15.
Culjak, I., & Abram, D. (2012). A brief introduction to OpenCV. MIPRO, 1725-1730.
D. Guinard, V. T. (2010). Interacting with the soa-based internet of things: Discovery, query, selection, and on-demand provisioning of web services. Services Computing, IEEE, 223 - 235 .
Department of Electrical and Electronic Engineering - University of Cagliari. (2015). The Virtual Object the Internet of Things. IEEE Communications Surveys & Tutorials, 1-12.
García, M. E. (2009). Diseño e implementación de una herramienta de detección facial. México.
I. F. Akyildiz, J. X. (2007). “A survey of mobility management in next-generation all-ip-based wireless systems. Wireless Communications, IEEE,, 16 -28.
ITU. (2005). ITU.ORG. Obtenido de http://www.itu.int/osg/spu/publications/internetofthings/
ITU. (2012). ITU. Obtenido de http://www.itu.int/osg/spu/publications/internetofthings/
Jaffey, T. (febrero de 2014). Eclipse, Retrieved from MQTT and CoAP, IoT Protocols. Obtenido de http://eclipse.org/community/eclipse_newsletter/2014/february/article2.php
Matuska, S., Hudec, R., & Miroslav, B. (2012). The Comparison of CPU Time Consumption for Image Procession Algorithm in Matlab and OpenCV. IEEE, 75 - 78.
Michele Nitti, V. P. (2015). The Virtual Object as a Major Element of the Internet of Things: a Survey. IEEE, 1-12.
Paci , F., Brunelli, D., & Benini, L. (2014). 0, 1, 2, many — A classroom occupancy monitoring system for smart public buildings. Design and Architectures for Signal and Image Processing (DASIP), 2014 Conference on, (págs. 1-6). Madrid.
Posada, M. G. (2015). Diseño de Prototipo de Recogida Automatizada de Bolos Mediante Brazo Robótico y Visión Artificial. Oviedo.
Shah, M. (1997). Fundamentals of Computer Vision. Orlando: University of Central Florida.
Sobrado, E. (2009). Sistema de visión artificial para el reconocimiento y manipulación de objetos utilizando un brazo robótico. Lima: Pontificia Universidad Católica de Perú.
Somayya Madakam, R. R. (Enero de 2015). Internet of Things (IoT): A Literature. Obtenido de http://file.scirp.org/pdf/JCC_2015052516013923.pdf
Vélez, J., Moreno, A., Sánchez, A., & Sánchez, J. (2003). Visión por Computador. Universidad Rey Juan Carlos.
Zanella, A., Bui, N., Castellani, A., Vangelista, L., & Zorzi, M. (2014). Internet of Things for Smart Cities. IEEE INTERNET OF THINGS JOURNAL, 22-32.
Published
2017-02-24
How to Cite
Alvear-Puertas, V., Rosero-Montalvo, P., Peluffo-Ordóñez, D., & Pijal-Rojas, J. (2017). Internet of Things and Artificial Vision, Performance and Applications: Literature Review. Enfoque UTE, 8(1), pp. 244 - 256. https://doi.org/https://doi.org/10.29019/enfoqueute.v8n1.121
Section
General Engineering