Journal of the Semiconductor & Display Technology (반도체디스플레이기술학회지)

The Korean Society Of Semiconductor & Display Technology (한국반도체디스플레이기술학회)
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Implementation of GPU Acceleration of Object Detection Application with Drone Video

드론 영상 대상 물체 검출 어플리케이션의 GPU가속 구현

  • 박시현 (성균관대학교 교과교육학과) ;
  • 박천수 (성균관대학교 컴퓨터교육과)
  • Received : 2021.09.02
  • Accepted : 2021.09.16
  • Published : 2021.09.30
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Abstract

With the development of the industry, the use of drones in specific mission flight is being actively studied. These drones fly a specified path and perform repetitive tasks. if the drone system will detect objects in real time, the performance of these mission flight will increase. In this paper, we implement object detection system and mount GPU acceleration to maximize the efficiency of limited device resources with drone video using Tensorflow Lite which enables in-device inference from a mobile device and Mobile SDK of DJI, a drone manufacture. For performance comparison, the average processing time per frame was measured when object detection was performed using only the CPU and when object detection was performed using the CPU and GPU at the same time.

Keywords

References

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