Generation of Surveillance Networked Nodes for Oil Pipelines’ Theft

  IJRES-book-cover  International Journal of Recent Engineering Science (IJRES)          
  
© 2021 by IJRES Journal
Volume-8 Issue-5
Year of Publication : 2021
Authors : Rahmon Ariyo Badru, Azeez Ajani Waheed, Oluseye Ayobami Akinmoluwa, Olaniyi Ralph Obayemi
DOI : 10.14445/23497157/IJRES-V8I5P104

How to Cite?

Rahmon Ariyo Badru, Azeez Ajani Waheed, Oluseye Ayobami Akinmoluwa, Olaniyi Ralph Obayemi, "Soil Investigation of a Collapsed Building Site in Jos, Nigeria," International Journal of Recent Engineering Science, vol. 8, no. 5, pp. 21-26, 2023. Crossref, https://doi.org/10.14445/23497157/IJRES-V8I5P104

Abstract
Despite the use of military task forces and some old detection systems along oil pipelines, sabotage is on the rise, especially in developing countries. This has led to various socio-economic losses and damage to the ecosystem via oil spills. To solve this problem, the research study generated low-cost surveillance networked nodes for oil pipelines theft via real-time monitoring and reporting. The prototype was simulated along the Lagos-Ilorin pipeline (259km) divided into nodes (26m apart interfaced to a central webserver) based on field view computation of the prototype device (resolution 4618 × 3465 pixels). The model software was developed using a web application, tunneling server, and mobile app. The mobile app at each node sends detected faces using feature detection and tracking via Constrained Local Models Algorithm (CLMA), each image having a unique I.D and location, which will be forwarded to a surveillance email. These images were transmitted immediately (1-2 seconds) and uploaded on the webserver. An email of this report was generated and forwarded to the admin indicating human activity on the pipeline infrastructure. The prototype was evaluated using the manual software non-functional Black Box Testing having a response time of 90%, 80% stability, and 90% reliability.

Keywords
Node, Oil, Pipeline, Prototype, Server, Surveillance.

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