The development of technologies associated with energy efficiency and use in lighting systems, arise as problems in the application of smart devices in different places such as: houses, buildings, industries, companies and public and private institutions. The objective of the study was to validate the instrument and the information obtained on the use of intelligent devices such as automatic control in a lighting system and its improvement in energy efficiency in the public sector. As a research methodology, a field study was conducted, based on a survey applied to 231 employees (bosses and workers) who work in 17 public institutions located in 6 cantons of the province of Manabí, Republic of Ecuador. To validate this instrument, an exploratory and confirmatory factorial analysis of the data obtained was carried out. As a result of the principal component analysis, a factor transformation matrix (0.870) was obtained and the reliability analysis was obtained (0.880) in relation to the reagents that describe three dimensions established in knowledge, application and technology management. It is concluded that the factor analysis applied through the KMO test, Bartlett's sphericity and Cronbach's alpha coefficient, with a correlation range ≥ 0.5 between reactants was feasible, which allows to certify the reliability and validity applied in this instrument.
Technological evolution through computer tools has given rise to tasks of impossible recognition for an ordinary man, but at the same time favorable for the safety of people. Deep learning is considered a tool that uses images and video to detect and interpret real-world scenes. Therefore, it is necessary to validate the application of an algorithm with different cameras for the recognition of people, being a contribution to surveillance in domestic environments and of companies. In this research, an algorithm is presented that, through a camera, allows to detect the image of a person. The objective of this research is to validate the process in the recognition of the image with four cameras through the application of the improved algorithm Viola-Jones. The validation was carried out through a mathematical analysis, which allowed us to base the recognition of the image using four different cameras. As a result of the study, an effective and functional validation was obtained, about the results achieved with the application of the algorithm, using the four cameras and effective in the speed-based recognition concerning the different tests performed on the capture and recognition of each image, reducing the recognition time and optimizing the software and hardware used.
This research has the objective to validate the effectiveness in the execution of the algorithm based on the detection of the image of a person, applied as a control in a lighting device, for better surveillance and energy efficiency in domestic and business areas. For the methodology was used the analysis of the data obtained in various video surveillance cameras with the algorithm integration. We considered, that the parameters such as the distance concerning the capture speed and its effectiveness in turning on and off a lighting device when detecting the image of a person are positive, false-positive, false-negative and negative were considered. concerning the data obtained, the results determined 99.5% of the image detection is positive. This is validated using the SPSS through the descriptive analysis, the analysis of the coefficient v. of Cramer (1) and the contingency coefficient (0.707).
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