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Efficient resource management in UAVs for Visual Assistance

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Document pages: 7 pages

Abstract: There is an increased interest in the use of Unmanned Aerial Vehicles (UAVs)for agriculture, military, disaster management and aerial photography aroundthe world. UAVs are scalable, flexible and are useful in various environmentswhere direct human intervention is difficult. In general, the use of UAVs withcameras mounted to them has increased in number due to their wide range ofapplications in real life scenarios. With the advent of deep learning models incomputer vision many models have shown great success in visual tasks. But mostof evaluation models are done on high end CPUs and GPUs. One of majorchallenges in using UAVs for Visual Assistance tasks in real time is managingthe memory usage and power consumption of the these tasks which arecomputationally intensive and are difficult to be performed on low endprocessor board of the UAV. This projects describes a novel method to optimizethe general image processing tasks like object tracking and object detectionfor UAV hardware in real time scenarios without affecting the flight time andnot tampering the latency and accuracy of these models.

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