Police tasks related with law enforcement and citizen protection have gained a very useful asset in drones. Crowded demonstrations, large sporting events, or summer festivals are typical situations when aerial surveillance is necessary. The eyes in the sky are moving from the use of manned helicopters to drones due to costs, environmental impact, and discretion, resulting in local, regional, and national police forces possessing specific units equipped with drones. In this paper, we describe an artificial intelligence solution developed for the Castelldefels local police (Barcelona, Spain) to enhance the capabilities of drones used for the surveillance of large events. In particular, we propose a novel methodology for the efficient integration of deep learning algorithms in drone avionics. This integration improves the capabilities of the drone for tasks related with capacity control. These tasks have been very relevant during the pandemic and beyond. Controlling the number of persons in an open area is crucial when the expected crowd might exceed the capacity of the area and put humans in danger. The new methodology proposes an efficient and accurate execution of deep learning algorithms, which are usually highly demanding for computation resources. Results show that the state-of-the-art artificial intelligence models are too slow when utilised in the drone standard equipment. These models lose accuracy when images are taken at altitudes above 30 m. With our new methodology, these two drawbacks can be overcome and results with good accuracy ( 96 % correct segmentation and between 20 % and 35 % mean average proportional error) can be obtained in less than 20 s.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Enhancing Drones for Law Enforcement and Capacity Monitoring at Open Large Events


    Beteiligte:
    Pablo Royo (Autor:in) / Àlex Asenjo (Autor:in) / Juan Trujillo (Autor:in) / Ender Çetin (Autor:in) / Cristina Barrado (Autor:in)


    Erscheinungsdatum :

    2022




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt




    Traffic violation enforcement system using drones

    JO JUN MO | Europäisches Patentamt | 2019

    Freier Zugriff

    Les drones, bientôt open source

    Online Contents | 2012


    Enforcement of violation of agricultural land law using drones aerial photographing

    NO SU MIN | Europäisches Patentamt | 2020

    Freier Zugriff

    PERIMETER MONITORING USING AUTONOMOUS DRONES

    BRYSON DONALD L / KLINE ERIC V / RAKSHIT SARBAJIT K | Europäisches Patentamt | 2017

    Freier Zugriff

    Railway infrastructure monitoring by drones

    Flammini, Francesco / Pragliola, Concetta / Smarra, Giovanni | IEEE | 2016