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Proceedings Paper

Using crowd sourcing to combat potentially illegal or dangerous UAV operations
Author(s): Brooke T. Tapsall
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Paper Abstract

The UAV (Unmanned Aerial Vehicles) industry is growing exponentially at a pace that policy makers, individual countries and law enforcement agencies are finding difficult to keep up. The UAV market is large, as such the amount of UAVs being operated in potentially dangerous situations is prevalent and rapidly increasing. Media is continually reporting ‘near-miss’ incidents between UAVs and commercial aircraft, UAV breaching security in sensitive areas or invading public privacy.

One major challenge for law enforcement agencies is gaining tangible evidence against potentially dangerous or illegal UAV operators due to the rapidity with which UAV operators are able to enter, fly and exit a scene before authorities can arrive or before they can be located.

DroneALERT, an application available via the Airport-UAV.com website, allows users to capture potentially dangerous or illegal UAV activity using their mobile device as it the incident is occurring. A short online DroneALERT Incident Report (DIR) is produced, emailed to the user and the Airport-UAV.com custodians. The DIR can be used to aid authorities in their investigations. The DIR contains details such as images and videos, location, time, date of the incident, drone model, its distance and height.

By analysing information from the DIR, photos or video, there is a high potential for law enforcement authorities to use this evidence to identify the type of UAV used, triangulate the location of the potential dangerous UAV and operator, create a timeline of events, potential areas of operator exit and to determine the legalities breached. All provides crucial evidence for identifying and prosecuting a UAV operator.

Paper Details

Date Published: 21 October 2016
PDF: 6 pages
Proc. SPIE 9986, Unmanned/Unattended Sensors and Sensor Networks XII, 998605 (21 October 2016); doi: 10.1117/12.2240655
Show Author Affiliations
Brooke T. Tapsall, Atlas GICS Ltd. (United Kingdom)


Published in SPIE Proceedings Vol. 9986:
Unmanned/Unattended Sensors and Sensor Networks XII
Edward M. Carapezza; Panos G. Datskos; Christos Tsamis, Editor(s)

Video Presentation

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