Platform Prototype for Surveilling Rural Properties Using Cloud Computing and Surveillance Drones

Introduction: The article derives from the research “Alarm monitoring system based on unmanned aerial vehicles” conducted at Universidad Pedagógica y Tecnológica de Colombia in 2016. It shows the construction phases of an electronic alarm monitoring platform prototype using cloud computing, supporte...

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Autores:
Segura Cuervo, Maycol Alexander
Mesa Lara, Jairo Alonso
Tipo de recurso:
Article of journal
Fecha de publicación:
2018
Institución:
Universidad Cooperativa de Colombia
Repositorio:
Repositorio UCC
Idioma:
spa
OAI Identifier:
oai:repository.ucc.edu.co:20.500.12494/9433
Acceso en línea:
https://revistas.ucc.edu.co/index.php/in/article/view/2160
https://hdl.handle.net/20.500.12494/9433
Palabra clave:
Rights
openAccess
License
Copyright (c) 2017 Journal of Engineering and Education
Description
Summary:Introduction: The article derives from the research “Alarm monitoring system based on unmanned aerial vehicles” conducted at Universidad Pedagógica y Tecnológica de Colombia in 2016. It shows the construction phases of an electronic alarm monitoring platform prototype using cloud computing, supported by surveillance drones.Aim: To improve response times in the surveillance of rural properties upon a warning signal of possible theft by quickly collecting external evidence captured in photos and videos.Methods: We identified how the monitoring service is provided in Colombia and then five modules were designed and implemented: intrusion, reception, management, monitoring and surveillance.Results: Once an intrusion variable was altered and detected by the sensors, the alarm system transmitted the warning signal through ip/gprs communication to the signal receiver in the cloud, which translates the message and directs it to the management software responsible for sending the flight plan and geographic coordinates required for onsite drone surveillance.Conclusion: Response times on drone surveillance could be calculated with favorable results for the monitoring service, and the management software was developed.Originality: We obtained a platform with innovative elements associated with the integration of drones and cloud computing.Limitations: Colombian regulations on drones restrict unmanned flights.