Secure UAV-Based System to Detect Small Boats Using Neural Networks
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 intelligenc...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2019-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2019/7206096 |
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| _version_ | 1832551369688481792 |
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| author | Moisés Lodeiro-Santiago Pino Caballero-Gil Ricardo Aguasca-Colomo Cándido Caballero-Gil |
| author_facet | Moisés Lodeiro-Santiago Pino Caballero-Gil Ricardo Aguasca-Colomo Cándido Caballero-Gil |
| author_sort | Moisés Lodeiro-Santiago |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-06e56f9caab941e28f76aa4ee01a36a0 |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2019-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-06e56f9caab941e28f76aa4ee01a36a02025-02-03T06:01:34ZengWileyComplexity1076-27871099-05262019-01-01201910.1155/2019/72060967206096Secure UAV-Based System to Detect Small Boats Using Neural NetworksMoisés Lodeiro-Santiago0Pino Caballero-Gil1Ricardo Aguasca-Colomo2Cándido Caballero-Gil3Departamento de Ingeniería Informática y de Sistemas, Universidad de La Laguna, Tenerife 38200, SpainDepartamento de Ingeniería Informática y de Sistemas, Universidad de La Laguna, Tenerife 38200, SpainInstituto Universitario SIANI-Edificio Central del Parque Cientfico y Tecnológico, Campus Universitario de Tafira, 35017 Las Palmas de Gran Canaria, SpainDepartamento de Ingeniería Informática y de Sistemas, Universidad de La Laguna, Tenerife 38200, SpainThis 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.http://dx.doi.org/10.1155/2019/7206096 |
| spellingShingle | Moisés Lodeiro-Santiago Pino Caballero-Gil Ricardo Aguasca-Colomo Cándido Caballero-Gil Secure UAV-Based System to Detect Small Boats Using Neural Networks Complexity |
| title | Secure UAV-Based System to Detect Small Boats Using Neural Networks |
| title_full | Secure UAV-Based System to Detect Small Boats Using Neural Networks |
| title_fullStr | Secure UAV-Based System to Detect Small Boats Using Neural Networks |
| title_full_unstemmed | Secure UAV-Based System to Detect Small Boats Using Neural Networks |
| title_short | Secure UAV-Based System to Detect Small Boats Using Neural Networks |
| title_sort | secure uav based system to detect small boats using neural networks |
| url | http://dx.doi.org/10.1155/2019/7206096 |
| work_keys_str_mv | AT moiseslodeirosantiago secureuavbasedsystemtodetectsmallboatsusingneuralnetworks AT pinocaballerogil secureuavbasedsystemtodetectsmallboatsusingneuralnetworks AT ricardoaguascacolomo secureuavbasedsystemtodetectsmallboatsusingneuralnetworks AT candidocaballerogil secureuavbasedsystemtodetectsmallboatsusingneuralnetworks |