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Investigating The Impact Of Distance On Object Detection Accuracy in Unmanned Aerial Vehicle Systems Using MobileNetV3
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  • Mallikarjun Bhusnoor ,
  • Jyoti Patel ,
  • Akshara Mehta ,
  • Sandeep Sainkar ,
  • Dhrumil Patel ,
  • Ninad Mehendale
Mallikarjun Bhusnoor
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Jyoti Patel
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Akshara Mehta
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Sandeep Sainkar
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Dhrumil Patel
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Ninad Mehendale
Somaiya Vidyavihar University

Corresponding Author:[email protected]

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This study investigates the feasibility of using Raspberry Pi-equipped Unmanned Aerial Vehicles (UAVs) for object detection. The research focuses on analyzing the impact of the distance between the UAV and the target person on the accuracy of object detection. Experimental results reveal a decrease in detection accuracy as the distance between the UAV and the target person increases, emphasizing the critical role of distance in efficient object detection systems. By combining drones, Raspberry Pi, and machine learning algorithms, this research showcases the potential of advanced object detection systems. The findings contribute to the growing application of UAV technology by refining and optimizing UAV-based object detection systems.