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ÇѱÛÁ¦¸ñ(Korean Title) ºÐ»êó¸® ȯ°æ¿¡¼­ÀÇ ´ÙÁß Ä«¸Þ¶ó ¹°Ã¼ÀÎ½Ä ½Ã½ºÅÛ ±¸Çö
¿µ¹®Á¦¸ñ(English Title) Implementation of a Distributed Multi-Camera Object Recognition System
ÀúÀÚ(Author) Á¤¿ø±Ù   ±èÁ¾¹è   ÃÖ¼·   WonGeun Jung   JongBae Kim   Seop Choi   ±èµ¿±Ô   ±è¿øÅ   ȲÇöÇÏ   À̱ÔÁß   ÀÌÇõÀç   Donggyu Kim   Wontae Kim   Hyunha Hwang   Kyujoong Lee   Hyuk-Jae Lee  
¿ø¹®¼ö·Ïó(Citation) VOL 45 NO. 01 PP. 2240 ~ 2241 (2022. 06)
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(Korean Abstract)
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(English Abstract)
It is difficult to implement the distributed multicamera object recognition system due to the limited computing resource of edge devices and network conditions. This paper includes specification of the implemented system, with the solutions to the problems raised during implementation. By utilizing TensorRT, edge selection and network latency hiding, our model achieved 20 FPS speed and 77% accuracy, which is 1.52x faster in terms of FPS and 18% improvement of accuracy, compared with the baseline model.
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