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Shao-Kuo Tai, Christine Dewi, Rung-Ching Chen, Yan-Ting Liu, Xiaoyi Jiang and Hui Yu
In the area of traffic sign detection (TSD) methods, deep learning has been implemented and achieves outstanding performance. The detection of a traffic sign, as it has a dual function in monitoring and directing the driver, is a big concern for driver s...
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Yue Li, Xueting Zhang and Zhangyi Shen
Due to the strain on land resources, marine energy development is expanding, in which the submarine cable occupies an important position. Therefore, periodic inspections of submarine cables are required. Submarine cable inspection is typically performed ...
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Longhui Yu, Yuhai Pu, Honglei Cen, Jingbin Li, Shuangyin Liu, Jing Nie, Jianbing Ge, Linze Lv, Yali Li, Yalei Xu, Jianjun Guo, Hangxing Zhao and Kang Wang
We propose a lightweight neural network-based method to detect the estrus behavior of ewes. Our suggested method is mainly proposed to solve the problem of not being able to detect ewe estrus behavior in a timely and accurate manner in large-scale meat s...
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Shih-Sian Guo, Kuo-Hua Lee, Liyun Chang, Chin-Dar Tseng, Sin-Jhe Sie, Guang-Zhi Lin, Jih-Yi Chen, Yi-Hsin Yeh, Yu-Jie Huang and Tsair-Fwu Lee
We developed a set of automatic temperature measurements and a monitoring platform for dairy cattle. This system resolves the need for the ranch staff to regularly measure the body temperature of dairy cattle.
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Chuanyang Liu, Yiquan Wu, Jingjing Liu, Zuo Sun and Huajie Xu
Insulator fault detection is one of the essential tasks for high-voltage transmission lines? intelligent inspection. In this study, a modified model based on You Only Look Once (YOLO) is proposed for detecting insulator faults in aerial images with a com...
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Lun-Chi Chen, Ruey-Kai Sheu, Wen-Yi Peng, Jyh-Horng Wu and Chien-Hao Tseng
Street lighting is a fundamental aspect of security systems in homes, industrial facilities, and public places. To detect parking lot occupancy in outdoor environments, street light control plays a crucial role in smart surveillance applications that can...
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Baobao Liu, Heying Wang, Zifan Cao, Yu Wang, Lu Tao, Jingjing Yang and Kaibing Zhang
Defect detection holds significant importance in improving the overall quality of fabric manufacturing. To improve the effectiveness and accuracy of fabric defect detection, we propose the PRC-Light YOLO model for fabric defect detection and establish a ...
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Christine Dewi, Rung-Ching Chen, Yong-Cun Zhuang, Xiaoyi Jiang and Hui Yu
In recent years, there have been significant advances in deep learning and road marking recognition due to machine learning and artificial intelligence. Despite significant progress, it often relies heavily on unrepresentative datasets and limited situat...
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Rao Cheng, Xiaowei He, Zhonglong Zheng and Zhentao Wang
In the practical application scenarios of safety helmet detection, the lightweight algorithm You Only Look Once (YOLO) v3-tiny is easy to be deployed in embedded devices because its number of parameters is small. However, its detection accuracy is relati...
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