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        Road Damage Detection and Classification based on Multi-level Feature Pyramids

        ( Junru Yin ),( Jiantao Qu ),( Wei Huang ),( Qiqiang Chen ) 한국인터넷정보학회 2021 KSII Transactions on Internet and Information Syst Vol.15 No.2

        Road damage detection is important for road maintenance. With the development of deep learning, more and more road damage detection methods have been proposed, such as Fast R-CNN, Faster R-CNN, Mask R-CNN and RetinaNet. However, because shallow and deep layers cannot be extracted at the same time, the existing methods do not perform well in detecting objects with fewer samples. In addition, these methods cannot obtain a highly accurate detecting bounding box. This paper presents a Multi-level Feature Pyramids method based on M2det. Because the feature layer has multi-scale and multi-level architecture, the feature layer containing more information and obvious features can be extracted. Moreover, an attention mechanism is used to improve the accuracy of local boundary boxes in the dataset. Experimental results show that the proposed method is better than the current state-of-the-art methods.

      • Design and implementation of smart bartender system based on Arduino UNO

        Wang Junkai,Zhang Jiaxuan,Zhou Xuyun,Cui Shuyu,Huang Junru,Qiu Ziehen,Feng Zunhao,In Soo Lee 한국정보기술학회 2021 Proceedings of KIIT Conference Vol.2021 No.11

        본 발명품은 Arduino UNO를 사용하여 설계한 바텐딩 제어 시스템을 채용한 것으로서 주요 기능은 전자밸브와 펌프의 공동 작동을 통해 모든 음료의 토핑 재료를 정확하게 추출하여 혼합하여 생산하며, 수출 상단에는 LED와 음향을 장착하여 시각 및 청각 효과를 더욱 좋게 하였으며, 바텐더의 도움 없이도 가정에서 사용할 수 있다. With the development of intelligent electronic technology, newly smart machine technology comes true. This paper mainly use Arduino UNO to design a control system of the current blender, the main function of the system is to accurately control the ingredient of each drink through the peristaltic pump control circuit and relay circuit, the wine is modulated by the mixing mechanism, For better visual and acoustic effects, LED and sound are added above the reclaiming port. Through the order system to select drinks without the intervention of the staff, the equipment is in the state of no sales.

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