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Validation of the Algorithm in the Detection of the Image of a Person Based on the Control of a Lighting Device.

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Title: Validation of the Algorithm in the Detection of the Image of a Person Based on the Control of a Lighting Device.
Authors: Garcia-Quilachamin, Washington1 profegarcia501@gmail.com, Sanchez Cano, Julieta Evangelina2 julieta.san2009@ujed.mx, Concepción, Luzmila Pro3 lproc2003@hotmail.com, Mantuano, Evelyn Santana4
Source: International Journal of Online & Biomedical Engineering. 2020, Vol. 16 Issue 9, p105-122. 18p.
Subjects: Algorithms, Video surveillance, Camcorders, Energy consumption, Data analysis, Image
Abstract: 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 true-positive, false-positive, false-negative and true-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, Cramer's v (1) and the contingency coefficient (0.707). It is concluded that the descriptive analysis applied through the contingency coefficient and Cramer's v, allows validating the efficiency and effectiveness of the algorithm applied in a control on and off of a lighting device. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Online & Biomedical Engineering is the property of International Journal of Online Engineering and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Online+%26+Biomedical+Engineering%22">International Journal of Online & Biomedical Engineering</searchLink>. 2020, Vol. 16 Issue 9, p105-122. 18p.
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  Data: <searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Video+surveillance%22">Video surveillance</searchLink><br /><searchLink fieldCode="DE" term="%22Camcorders%22">Camcorders</searchLink><br /><searchLink fieldCode="DE" term="%22Energy+consumption%22">Energy consumption</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis%22">Data analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Image%22">Image</searchLink>
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  Data: 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 true-positive, false-positive, false-negative and true-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, Cramer's v (1) and the contingency coefficient (0.707). It is concluded that the descriptive analysis applied through the contingency coefficient and Cramer's v, allows validating the efficiency and effectiveness of the algorithm applied in a control on and off of a lighting device. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Data: <i>Copyright of International Journal of Online & Biomedical Engineering is the property of International Journal of Online Engineering and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=145148587
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        Value: 10.3991/ijoe.v16i09.12933
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      – Code: eng
        Text: English
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        PageCount: 18
        StartPage: 105
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      – SubjectFull: Algorithms
        Type: general
      – SubjectFull: Video surveillance
        Type: general
      – SubjectFull: Camcorders
        Type: general
      – SubjectFull: Energy consumption
        Type: general
      – SubjectFull: Data analysis
        Type: general
      – SubjectFull: Image
        Type: general
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      – TitleFull: Validation of the Algorithm in the Detection of the Image of a Person Based on the Control of a Lighting Device.
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            NameFull: Sanchez Cano, Julieta Evangelina
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            NameFull: Concepción, Luzmila Pro
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            NameFull: Mantuano, Evelyn Santana
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            – D: 01
              M: 09
              Text: 2020
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              Y: 2020
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            – TitleFull: International Journal of Online & Biomedical Engineering
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