This project aims to benefit the aviation industry by using machine learning techniques, specifically the You Only Look Once (YOLO) algorithm, to detect potential obstacles in real-time during flight. The system uses high-resolution cameras installed in the airports to provide pilots with advance warning of most potential threats, of birds, before they become a danger. This approach significantly reduces the risk of accidents and enhances the safety of air travel. The system's successful implementation can revolutionize the aviation industry, setting new standards in flight safety.


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    Title :

    A Machine Learning based approach to Detect Birds over and around the Runway before they Strike the Aircrafts


    Contributors:


    Publication date :

    2023-07-29


    Size :

    652949 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English