Sensor-free automation of buildings to conserve the light energy without sacrifice in the visual comfort through image processing techniques

S. Shanmuga Raja*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Automating the buildings leads to efficient operation especially in office workspaces. In buildings, automation is d one mostly on HVAC systems and Lighting systems. Lighting Systems is one area where energy can be conserved. Understanding this many lighting control techniques have been developed for providing automation in Lighting systems. There are many difficulties faced in the automating the buildings, like number of sensors increases with increase in building area, transmitting information and centralized control. The main aim of this paper is automating the lighting systems in the office building to conserve and control light energy without sacrificing the visual comfort through image processing with the help of cameras used for surveillance systems. An added advantage is that we can save the cost of investment in the sensors.

Original languageEnglish
Title of host publicationIEEE International Conference on Power, Control, Signals and Instrumentation Engineering, ICPCSI 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages715-718
Number of pages4
ISBN (Electronic)9781538608135
DOIs
Publication statusPublished - 20-06-2018
Externally publishedYes
Event2017 IEEE International Conference on Power, Control, Signals and Instrumentation Engineering, ICPCSI 2017 - Chennai, India
Duration: 21-09-201722-09-2017

Publication series

NameIEEE International Conference on Power, Control, Signals and Instrumentation Engineering, ICPCSI 2017

Conference

Conference2017 IEEE International Conference on Power, Control, Signals and Instrumentation Engineering, ICPCSI 2017
Country/TerritoryIndia
CityChennai
Period21-09-1722-09-17

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Signal Processing
  • Energy Engineering and Power Technology
  • Control and Optimization
  • Instrumentation

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