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Secure UAV-Based System to Detect Small Boats Using Neural Networks

Author

Listed:
  • Moisés Lodeiro-Santiago
  • Pino Caballero-Gil
  • Ricardo Aguasca-Colomo
  • Cándido Caballero-Gil

Abstract

This work presents a system to detect small boats (pateras) to help tackle the problem of this type of perilous immigration. The proposal makes extensive use of emerging technologies like Unmanned Aerial Vehicles (UAV) combined with a top-performing algorithm from the field of artificial intelligence known as Deep Learning through Convolutional Neural Networks. The use of this algorithm improves current detection systems based on image processing through the application of filters thanks to the fact that the network learns to distinguish the aforementioned objects through patterns without depending on where they are located. The main result of the proposal has been a classifier that works in real time, allowing the detection of pateras and people (who may need to be rescued), kilometres away from the coast. This could be very useful for Search and Rescue teams in order to plan a rescue before an emergency occurs. Given the high sensitivity of the managed information, the proposed system includes cryptographic protocols to protect the security of communications.

Suggested Citation

  • Moisés Lodeiro-Santiago & Pino Caballero-Gil & Ricardo Aguasca-Colomo & Cándido Caballero-Gil, 2019. "Secure UAV-Based System to Detect Small Boats Using Neural Networks," Complexity, Hindawi, vol. 2019, pages 1-11, January.
    • Handle: RePEc:hin:complx:7206096
    DOI: 10.1155/2019/7206096
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    References listed on IDEAS

    as
    1. Víctor San Juan & Matilde Santos & José Manuel Andújar, 2018. "Intelligent UAV Map Generation and Discrete Path Planning for Search and Rescue Operations," Complexity, Hindawi, vol. 2018, pages 1-17, April.
    2. Andre Esteva & Brett Kuprel & Roberto A. Novoa & Justin Ko & Susan M. Swetter & Helen M. Blau & Sebastian Thrun, 2017. "Dermatologist-level classification of skin cancer with deep neural networks," Nature, Nature, vol. 542(7639), pages 115-118, February.
    3. C. S. Chin & JianTing Si & A. S. Clare & Maode Ma, 2017. "Intelligent Image Recognition System for Marine Fouling Using Softmax Transfer Learning and Deep Convolutional Neural Networks," Complexity, Hindawi, vol. 2017, pages 1-9, October.
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