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    Towards autonomous drones guidance using computer vision

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    Poster (657.3Kb)
    Date
    2022
    Author
    Alam, Harris
    Romeu, Thomas
    Alabsi, Mohammed
    Franco-Garcia, Michael
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    Abstract
    Abstract
    Ever since their inception, drones have been integrated into many different industries due to their maneuverability, ease of use and precision. From the military to even agriculture drones have been growing in their use cases. One area where drones can be utilized but are not is in search and rescue applications. Our goal was to build a drone that would fly through a racing drone gate at high speeds and detect those gates using an Artificial intelligence. This would simulate a drone flying into a building where it would be able to sweep and notify first responders of a possible victim in a building.
    Description
    Department of Mechanical Engineering
    Rights
    File access restricted due to FERPA regulations
    URI
    http://dr.tcnj.edu/handle/2900/4111
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    • MUSE (Mentored Undergraduate Summer Experience)

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