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College of Mathematics and Informatics, South China Agricultural University,Guangzhou,China, School of Biomedical Engineering, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230026, China, Center for Medical Imaging, Robotics, Analytic Computing & Learning (MIRACLE), Suzhou Institute for Advanced Research, University of Science and Technology of China, Suzhou, Jiangsu, 215123, China, National Key Laboratory of Intelligent Collaborative Computing, University of Electronic Science and Technology of China, Chengdu, 610097, China, Soochow University. Correspond to: mengfanqing33@gmail.com
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A vision-language fusion approach substantially improves mechanical water meter reading accuracy by resolving ambiguous digit transitions that stump traditional vision models.