Diseño e implementación de un prototipo de sistema de seguridad inteligente, para el centro I2TEC de la UNL.
This degree work comprehensively explains each of the necessary phases for embedding an intelligent and active security system, which uses artificial vision and image processing techniques to detect the presence of possible intruders in a predetermined area of interest. For this purpose, we used the...
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| Format: | bachelorThesis |
| Sprache: | spa |
| Veröffentlicht: |
2023
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| Schlagworte: | |
| Online Zugang: | https://dspace.unl.edu.ec/jspui/handle/123456789/27655 |
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Tag hinzufügen | Zusammenfassung: | This degree work comprehensively explains each of the necessary phases for embedding an intelligent and active security system, which uses artificial vision and image processing techniques to detect the presence of possible intruders in a predetermined area of interest. For this purpose, we used the Computer Vision library called OpenCV, which allows to integrate the system in an efficient and effective way. To gather information about people's needs and preferences, we conducted a survey to assess their knowledge about security systems and identify their choices. In this way, we obtained valuable information for the design of the prototype. In the development of the prototype, we placed emphasis on maintaining a cost-effectiveness ratio to ensure that the system is accessible to people who do not have any other type of security system or for those who require alternatives with technology superior to CCTV, electric fences, among others, to do so, we started with the review of the theoretical concepts that serve as a basis in the construction of the prototype, we identified the most vulnerable points of the implementation site, from this we investigated and offered multiple alternatives of software (and/or hardware) the programming languages used are Python, HTML, PHP and CSS. In the source code we applied multiple conditions for activation, lighting control and decision making. If we comply the pre-established criteria, we trigger an immediate alert via email; simultaneously, we upload the images to a server and load the date time data to a database; this allows the monitoring of incidents from a web application. Furthermore, we activated an audible alarm. And we save the images in the Firebase cloud as an additional backup. Keywords: OpenCV, Active security system, Artificial vision, Image processing, Lighting control, Web application, Databases |
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