Detection of illegal airstrips in digital images using artificial intelligence techniques
DOI:
https://doi.org/10.18667/cienciaypoderaereo.758Keywords:
Deep learning, object detection, artificial intelligence, runwaysAbstract
Ecuador is considered a transit country for drug trafficking and smuggling activities; Being a current problem on the northern and coastal border of the national territory, unauthorized airstrips are used for these illegal activities where substances subject to control, money, weapons, ammunition and explosives are transported.
The research will be based on designing and developing a methodology for use through artificial intelligence techniques, for the analysis and processing of the images that will be obtained from the reconnaissance missions carried out by the Ecuadorian Air Force planes. For the recognition of clandestine tracks, the object detection method based on deep learning Yolo and segmentation techniques will be used.
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