Revolutionizing industries with aerial vehicles using mobile for surveillance is the proposed title of this paper. The availability of drones has created several opportunities, particularly in the areas of agriculture, transportation, and security. This study is a follow-up to the creation of a drone controlled by Wi-Fi-based UAV and advanced image processing. To provide simple and seamless control, a mobile application has been released. Drone-taken photos and videos can also be processed and studied right away. Increasing the degree of autonomous vehicle operations, improving the accuracy of picture identification/analysis algorithms, and ensuring continuous communication between the drone and the control software are perhaps the key objectives of this work. The image processing component aims to take into account sophisticated improvements such as terrain analysis, object detection, and anomaly detection, which are crucial, particularly in the context of security surveillance. Ensuring steady and long-range connectivity while taking certain environmental elements into account can be critical. Enhancing the image processing technique to run smoothly on the off-board drone's hardware constraints is also a crucial step. However, integrating hardware and software continues to be a major challenge in the implementation of a dependable, high-accuracy, real-time analog-to-digital conversion system. The purpose of this research is to develop novel ways for improving UAV systems by integrating tough control systems with complicated image analysis capabilities. Keeping the aforementioned limits in mind, the purpose of this work is to improve understanding of how to create more self-sufficient and adaptive drones that can contribute to a broader range of professions or do more specific activities with minimal human interaction.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Revolutionizing Industries with Aerial Vehicle Using Mobile for Surveillance


    Beteiligte:
    V, Surendar (Autor:in) / S, Raghavendran P (Autor:in) / T, Poojitha P (Autor:in) / S, Shivali (Autor:in) / G, Sakthivel (Autor:in) / M, Lokesh (Autor:in)


    Erscheinungsdatum :

    10.07.2024


    Format / Umfang :

    735515 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    SURVEILLANCE WITH AN UNMANNED AERIAL VEHICLE

    NEWMAN STEPHEN D / NEWMAN DAVID L | Europäisches Patentamt | 2019

    Freier Zugriff

    SURVEILLANCE WITH AN UNMANNED AERIAL VEHICLE

    NEWMAN STEPHEN D / NEWMAN DAVID L | Europäisches Patentamt | 2020

    Freier Zugriff

    PERPETUAL UNMANNED AERIAL VEHICLE SURVEILLANCE

    PICKETT SETH | Europäisches Patentamt | 2020

    Freier Zugriff

    Unmanned aerial vehicle for coastal surveillance

    CHOI MYUNG JIN / ROH JAE SANG / KIM DONG EON et al. | Europäisches Patentamt | 2024

    Freier Zugriff

    Revolutionizing Military Surveillance: Advanced Deep Learning Techniques for Aircraft Detection

    Sampath, Patchigolla / Haseeb, Shaik / Jaideep, Are et al. | IEEE | 2023