Development of a Smart Surveillance System for Vandals' Detection and Tracking on Petroleum Pipelines

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@article{1710090,
      author = {Agoha Stephen Chukwuma, Felix K. Opara, O. C. Nosiri, A. O. Akande, G. Inny-Mfon Joshua; C. K. Oguzie},
      title = {Development of a Smart Surveillance System for Vandals' Detection and Tracking on Petroleum Pipelines},
      journal = {Iconic Research And Engineering Journals},
      year = {2025},
      volume = {9},
      number = {2},
      pages = {681-694},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1710090.pdf},
      abstract = {Crude oil production is extremely important in the global economy. Effective management and control of that product is extremely important. The indecent acts of vandalism are increasing, notable the southern part of Nigeria, with thousands of barrels of crude oil lost due to these vandals when transporting its products. This paper presents an intelligent surveillance pipeline with the ability to recognize real-time intrusions to monitor and attract attention for emergency responses. The Method used consists of a motion detection system, ultrasonic and vibration sensors, warning systems, and a web application control panel. The development was simulated using Proteus software and programmed with MPLAB-IDE. The design consists of an Arduino UNO Atmega Microcontroller as the main controller, a PIR sensor camera for image detection and snap snapping, and a PIR sensor camera, an RFID reader/card for authentication, and also integrated with an IoT system which also is connected to the internet allowing it send and record images with the Network Video Recorder (NVR), a buzzer as an alarm and a web application control panel that could be accessed over the Wi-Fi to manage the system. The system test worked as expected using a variety of scenarios, including user authentication, intruders, or false authentication. The surveillance camera also operates at night and automatically switches to the infrared sensor. Focused on the body near the sensory device, blurring the background to recognize facial features. This enhances the overall security by providing a comprehensive view of the perimeter and enabling rapid detection of intrusions.},
      keywords = {RFID, NVR, MPLAB IDE, ESP32, PIR, CCTV, IoT, HDI},
      month = {August},
  }