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.


    Access

    Download


    Export, share and cite



    Title :

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


    Contributors:
    Pablo Royo (author) / Àlex Asenjo (author) / Juan Trujillo (author) / Ender Çetin (author) / Cristina Barrado (author)


    Publication date :

    2022




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown




    Traffic violation enforcement system using drones

    JO JUN MO | European Patent Office | 2019

    Free access

    Les drones, bientôt open source

    Online Contents | 2012



    unmanned traffic enforcement system for enhancing accuracy of enforcement

    PARK SUNG KEE / JEONG IN TAEK | European Patent Office | 2024

    Free access

    PERIMETER MONITORING USING AUTONOMOUS DRONES

    BRYSON DONALD L / KLINE ERIC V / RAKSHIT SARBAJIT K | European Patent Office | 2017

    Free access