DEVELOPMENT AND IMPLEMENTATION OF A COMPUTER VISION-BASED POTHOLE DETECTOR USING INFRARED CAMERA

Authors

  • Arowolo, M.O.,

    Federal University Oye Ekiti, Nigeria

  • Adaralode, C.I.

  • Ogundigba, H.B

    Federal University Oye Ekiti, Nigeria

DOI:
https://doi.org/10.51459/futajeet.2023.17.2.586
Keywords:
pothole detection, infrared camera, warning system
Abstract

Potholes are a significant road hazard and can lead to accidents and vehicle damage. Detecting potholes in real time and alerting drivers can help mitigate this risk. The study presents the methodology for creating a pothole detection system. This includes details about the computer vision algorithms employed, the use of infrared cameras to enhance detection in varying lighting conditions, and the overall system architecture. The study involved collecting a diverse dataset of road images or videos, both with and without potholes, for training and testing the computer vision model. Data preprocessing and augmentation techniques were also used to reduce processing time by rescaling the images. The system was designed to serve as a warning system for drivers. It includes real-time alerts, such as visual indicators within the vehicle or audible alarms, to notify drivers of potential potholes ahead. The study's success was measured by its accuracy in correctly detecting potholes. The metrics used included training, validation accuracy, and loss. The system achieved a training accuracy of 95%, a validation accuracy of 83%, and a loss function of 0.4531 indicating that the distance between the true class and the prediction is tolerable. Overall, this study contributes to the development of a proactive and efficient approach to address the persistent issue of potholes. By harnessing advanced techniques, data analysis techniques, and real-time monitoring capabilities, the pothole detector offers an innovative solution for improved public safety.

Author Biographies
  1. Arowolo, M.O., , Federal University Oye Ekiti, Nigeria

    Department of Mechatronics Engineering

  2. Ogundigba, H.B, Federal University Oye Ekiti, Nigeria

    Department of Mechatronics Engineering

References

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Cover Image
Published
2023-11-30
Issue
Vol. 17 No. 2 (2023): FUTA Journal of Engineering and Engineering Technology
Section
Articles
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How to Cite

DEVELOPMENT AND IMPLEMENTATION OF A COMPUTER VISION-BASED POTHOLE DETECTOR USING INFRARED CAMERA. (2023). FUTA JOURNAL OF ENGINEERING AND ENGINEERING TECHNOLOGY, 17(2), 67-73. https://doi.org/10.51459/futajeet.2023.17.2.586

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