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Computer vision System for Public Illumination Management
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 175 - Number 31 |
| Year of Publication: 2020 |
| Authors: Peterson Belan, Anderson S. Vanin, Edward Netzer |
10.5120/ijca2020920869
|
Peterson Belan, Anderson S. Vanin, Edward Netzer . Computer vision System for Public Illumination Management. International Journal of Computer Applications. 175, 31 ( Nov 2020), 45-50. DOI=10.5120/ijca2020920869
Abstract
The present work proposes the management of street lighting through a computer vision approach, for which algorithms are used to detect pedestrians. The current scenario of demand for electricity, has rates that constantly increase, due to taxes, urban expansion, among others. Therefore, it is extremely important to look for alternative ways to minimize costs. One of the segments to be explored with great economic potential is the management of street lighting, in recent times changes have been taking place in this area, where governments are replacing sodium vapor lighting by LEDs lamps, which are already capable of dramatically reduce energy consumption. In this context, computer vision systems can help to reduce this consumption even further, controlling the power of these LED lamps according to the flow of people on the road. The computer vision system proposed in this work was implemented in C ++ using the OpenCV library, applied in a Raspberry Pi 3. It was also used the Fuzzy Logic to calculate the power that the LEDs must be adjusted due to the number of people on the road as well as the ambient lighting. For the execution of the validation tests of this proposal, images were acquired on public roads with pedestrians, as well as simulations of these environments were carried out, thus being possible to test all the proposed possibilities. With the real application of this project, it is possible to observe a savings of approximately 44% in the consumption of public lighting, this compared to the use of LED lighting.
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