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Year 2016, Special Issue (2016), 12 - 15, 01.12.2016
https://doi.org/10.18100/ijamec.271034

Abstract

References

  • [1] (2016) The Element14 ommunity website. [Online]. Available: https://www.element14.com/community/community/raspberry-pi/raspberrypi2
  • [2] (2016) The Raspberry Pi Foundations website. [Online]. Available: https://www.raspberrypi.org/products/raspberry-pi-2-model-b/
  • [3] Michal Kochláň, Michal Hodoň, Lukáš Čechovič, Ján Kapitulík and Matúš Jurečka, “WSN for traffic monitoring using Raspberry Pi board,” Computer Science and Information Systems Conference, pp. 1023-1026, Sept. 2014.
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  • [9] (2016) The Raspberry Pi Foundations website. [Online]. Available: https://www.raspberrypi.org/products/pi-noir-camera/
  • [10] (2016) W3Schools website. [Online]. Available: http://www.w3schools.com/

Video and Sensor Data Stream With Web Socket on Raspberry Pi 3

Year 2016, Special Issue (2016), 12 - 15, 01.12.2016
https://doi.org/10.18100/ijamec.271034

Abstract

Internet of Things
(IOT) and communication between machines (M2M), has emerged as an important
concept in conjunction with the use of Internet technology in embedded systems.
Thus, programmable remote control and the need for people with
microcontrollers, it becomes possible to use the system are minimized. Given
this device's web server hardware capabilities, also allows the use of
technologies such as web sockets. In this study, a mini computer featuring
Raspberry Pi 3 moving images, temperature and pir motion data received,
transmitting in real time with clients via the web browser and the ability to
monitor the place where you have displayed to clients at the same time is
designed as a system. The goal of this system, image processing and artificial intelligence
methods using a remote place / region to create a hardware and software
infrastructure for monitoring or monitoring. The target for the operating
system that offers performance from the device with the use of minimal
resources, non-graphical interface and development environment ARM-supported
Debian Linux as the Node.js installation is preferred. Socket servers and HTTP
server software made by users of a particular program without the need for
mobile phone environment is installed the device in any environment with a
computer or web browser to monitor in real-time, data retrieval, and has
obtained the ability to check. Created this is the system to be monitored
spaces regardless of the number of users, thanks to the web connector
technology in the software encoded on the device in real time without requiring
an additional operation in the browser monitoring displays alerts (voice, text,
etc.) situation can be produced.



References

  • [1] (2016) The Element14 ommunity website. [Online]. Available: https://www.element14.com/community/community/raspberry-pi/raspberrypi2
  • [2] (2016) The Raspberry Pi Foundations website. [Online]. Available: https://www.raspberrypi.org/products/raspberry-pi-2-model-b/
  • [3] Michal Kochláň, Michal Hodoň, Lukáš Čechovič, Ján Kapitulík and Matúš Jurečka, “WSN for traffic monitoring using Raspberry Pi board,” Computer Science and Information Systems Conference, pp. 1023-1026, Sept. 2014.
  • [4] M. Narender and M. Vijayalakshmi, "Raspberry Pi based advanced scheduled home automation system through E-mail," Computational Intelligence and Computing Research (ICCIC), 2014 IEEE International Conference on, Coimbatore, 2014, pp. 1-4.
  • [5] (2016) Node Js Developer Platform website. [Online]. Avilable: https://wiki.debian.org/WhyDebian
  • [6] (2016) DebianWiki website. [Online]. Avilable: https://nodejs.org/en/about/
  • [7] (2016) High Scalability website. [Online]. Avilable: http://highscalability.com/blog/2012/10/4/linkedin-moved-from-rails-to-node-27-servers-cut-and-up-to-2.html
  • [8] Malte Ubl and Eiji Kitamura. (2010) The Html5rocks website. [Online]. Avilable: http://www.html5rocks.com/en/tutorials/websockets/basics/
  • [9] (2016) The Raspberry Pi Foundations website. [Online]. Available: https://www.raspberrypi.org/products/pi-noir-camera/
  • [10] (2016) W3Schools website. [Online]. Available: http://www.w3schools.com/
There are 10 citations in total.

Details

Subjects Engineering
Journal Section Research Article
Authors

Osman Demirci

Gökhan Kayhan This is me

Publication Date December 1, 2016
Published in Issue Year 2016 Special Issue (2016)

Cite

APA Demirci, O., & Kayhan, G. (2016). Video and Sensor Data Stream With Web Socket on Raspberry Pi 3. International Journal of Applied Mathematics Electronics and Computers(Special Issue-1), 12-15. https://doi.org/10.18100/ijamec.271034
AMA Demirci O, Kayhan G. Video and Sensor Data Stream With Web Socket on Raspberry Pi 3. International Journal of Applied Mathematics Electronics and Computers. December 2016;(Special Issue-1):12-15. doi:10.18100/ijamec.271034
Chicago Demirci, Osman, and Gökhan Kayhan. “Video and Sensor Data Stream With Web Socket on Raspberry Pi 3”. International Journal of Applied Mathematics Electronics and Computers, no. Special Issue-1 (December 2016): 12-15. https://doi.org/10.18100/ijamec.271034.
EndNote Demirci O, Kayhan G (December 1, 2016) Video and Sensor Data Stream With Web Socket on Raspberry Pi 3. International Journal of Applied Mathematics Electronics and Computers Special Issue-1 12–15.
IEEE O. Demirci and G. Kayhan, “Video and Sensor Data Stream With Web Socket on Raspberry Pi 3”, International Journal of Applied Mathematics Electronics and Computers, no. Special Issue-1, pp. 12–15, December 2016, doi: 10.18100/ijamec.271034.
ISNAD Demirci, Osman - Kayhan, Gökhan. “Video and Sensor Data Stream With Web Socket on Raspberry Pi 3”. International Journal of Applied Mathematics Electronics and Computers Special Issue-1 (December 2016), 12-15. https://doi.org/10.18100/ijamec.271034.
JAMA Demirci O, Kayhan G. Video and Sensor Data Stream With Web Socket on Raspberry Pi 3. International Journal of Applied Mathematics Electronics and Computers. 2016;:12–15.
MLA Demirci, Osman and Gökhan Kayhan. “Video and Sensor Data Stream With Web Socket on Raspberry Pi 3”. International Journal of Applied Mathematics Electronics and Computers, no. Special Issue-1, 2016, pp. 12-15, doi:10.18100/ijamec.271034.
Vancouver Demirci O, Kayhan G. Video and Sensor Data Stream With Web Socket on Raspberry Pi 3. International Journal of Applied Mathematics Electronics and Computers. 2016(Special Issue-1):12-5.