{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,26]],"date-time":"2026-03-26T04:41:59Z","timestamp":1774500119450,"version":"3.50.1"},"reference-count":28,"publisher":"Springer Science and Business Media LLC","issue":"7","license":[{"start":{"date-parts":[[2025,1,3]],"date-time":"2025-01-03T00:00:00Z","timestamp":1735862400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,3]],"date-time":"2025-01-03T00:00:00Z","timestamp":1735862400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Comput & Applic"],"published-print":{"date-parts":[[2025,3]]},"DOI":"10.1007\/s00521-024-10682-5","type":"journal-article","created":{"date-parts":[[2025,1,3]],"date-time":"2025-01-03T09:24:47Z","timestamp":1735896287000},"page":"5369-5379","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["A robust pointer meter reading method for inspection robots in real industrial scenarios"],"prefix":"10.1007","volume":"37","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8921-8238","authenticated-orcid":false,"given":"Zhiqing","family":"Huang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuchao","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yanxin","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chenguang","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,1,3]]},"reference":[{"issue":"5","key":"10682_CR1","doi-asserted-by":"publisher","first-page":"2562","DOI":"10.3390\/s23052562","volume":"23","author":"D Liu","year":"2023","unstructured":"Liu D, Deng C, Zhang H, Li J, Shi B (2023) Adaptive reflection detection and control strategy of pointer meters based on yolov5s. Sensors 23(5):2562. https:\/\/doi.org\/10.3390\/s23052562","journal-title":"Sensors"},{"key":"10682_CR2","doi-asserted-by":"publisher","unstructured":"Jinzhuo M, Hongjian Z, Chenghua T, Pei J, Cong G, Xiaoqing C, Yiran G (2023) Research on two-step pointer meter recognition method based on yolov7. In: 2023 IEEE 5th international conference on civil aviation safety and information technology (ICCASIT), pp. 1264\u20131270 https:\/\/doi.org\/10.1109\/ICCASIT58768.2023.10351567","DOI":"10.1109\/ICCASIT58768.2023.10351567"},{"key":"10682_CR3","doi-asserted-by":"publisher","unstructured":"Zhang X, Dang X, Lv Q, Liu S (2020) A pointer meter recognition algorithm based on deep learning. In: 2020 3rd international conference on advanced electronic materials, computers and software engineering (AEMCSE), pp. 283\u2013287 https:\/\/doi.org\/10.1109\/AEMCSE50948.2020.00068","DOI":"10.1109\/AEMCSE50948.2020.00068"},{"key":"10682_CR4","doi-asserted-by":"publisher","first-page":"3573","DOI":"10.1109\/ACCESS.2022.3229874","volume":"11","author":"S Wu","year":"2023","unstructured":"Wu S, Zhang S, Jing X (2023) An industrial meter detection method based on lightweight yolox-calite. IEEE Access 11:3573\u20133583. https:\/\/doi.org\/10.1109\/ACCESS.2022.3229874","journal-title":"IEEE Access"},{"key":"10682_CR5","doi-asserted-by":"publisher","unstructured":"Han X, Zhang Y, Gao W (2021) A pointer meter recognition method based on image processing. In: Proceedings of the 2020 4th international conference on electronic information technology and computer engineering. EITCE \u201920 573\u2013578. Association for computing machinery, New York, NY, USA https:\/\/doi.org\/10.1145\/3443467.3443818","DOI":"10.1145\/3443467.3443818"},{"issue":"1","key":"10682_CR6","doi-asserted-by":"publisher","DOI":"10.1088\/1742-6596\/2189\/1\/012027","volume":"2189","author":"Z Liu","year":"2022","unstructured":"Liu Z, Huang H, Wang N, Cao Y, Zeng L, Zhang J, Zhang C (2022) A pointer meter reading recognition method based on improved orb algorithm for substation inspection robot. J Phys: Conf Ser 2189(1):012027. https:\/\/doi.org\/10.1088\/1742-6596\/2189\/1\/012027","journal-title":"J Phys: Conf Ser"},{"issue":"10","key":"10682_CR7","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6501\/ace3e8","volume":"34","author":"W Ge","year":"2023","unstructured":"Ge W, Yu X, Hu X, Wang X (2023) An optimized design of the pointer meter image enhancement and automatic reading system in low illumination environment. Meas Sci Technol 34(10):105907","journal-title":"Meas Sci Technol"},{"key":"10682_CR8","doi-asserted-by":"publisher","unstructured":"Ni T, Miao H, Wang L, Ni S, Huang, L (2020) Multi-meter intelligent detection and recognition method under complex background. In: 2020 39th Chinese control conference (CCC), pp. 7135\u20137141 . https:\/\/doi.org\/10.23919\/CCC50068.2020.9189383","DOI":"10.23919\/CCC50068.2020.9189383"},{"key":"10682_CR9","doi-asserted-by":"publisher","unstructured":"Kang L, Li H, Zheng H, Li X (2021) Research on automatic recognition algorithm of pointer meter based on machine vision. In: 2021 6th international conference on intelligent computing and signal processing (ICSP), pp. 265\u2013268 https:\/\/doi.org\/10.1109\/ICSP51882.2021.9408740","DOI":"10.1109\/ICSP51882.2021.9408740"},{"key":"10682_CR10","doi-asserted-by":"crossref","unstructured":"Li G, Tang B, Li B, Luo X, Liang Y (2020) Image recognition system of pointer meter in substation. In: 2020 IEEE 22nd international conference on high performance computing and communications, pp. 1241\u20131245","DOI":"10.1109\/HPCC-SmartCity-DSS50907.2020.00160"},{"key":"10682_CR11","doi-asserted-by":"crossref","unstructured":"Gao J, Guo L, Lv Y, Wu Q, Mu D (2018) Research on algorithm of pointer instrument recognition and reading based on the location of the rotation center of the pointer. In: 2018 IEEE international conference on mechatronics and automation (ICMA), pp. 1405\u20131410","DOI":"10.1109\/ICMA.2018.8484420"},{"key":"10682_CR12","doi-asserted-by":"publisher","first-page":"90","DOI":"10.1016\/j.neucom.2020.01.032","volume":"388","author":"L Zuo","year":"2020","unstructured":"Zuo L, He P, Zhang C, Zhang Z (2020) A robust approach to reading recognition of pointer meters based on improved mask-rcnn. Neurocomputing 388:90\u2013101. https:\/\/doi.org\/10.1016\/j.neucom.2020.01.032","journal-title":"Neurocomputing"},{"issue":"2","key":"10682_CR13","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6501\/ac9ad4","volume":"34","author":"D Ji","year":"2023","unstructured":"Ji D, Zhang W, Zhao Q, Yang W (2023) Correction and pointer reading recognition of circular pointer meter. Meas Sci Technol 34(2):025406","journal-title":"Meas Sci Technol"},{"issue":"4","key":"10682_CR14","first-page":"218","volume":"42","author":"S Zhang","year":"2022","unstructured":"Zhang S, Wan J, Wang H, Guan M, Yang B, Li F (2022) Convolutional neural network based on attention mechanism for reading recognition of pointer-type meter images. Dianli Zidonghua Shebei\/Electric Power Autom Equips 42(4):218\u2013224","journal-title":"Dianli Zidonghua Shebei\/Electric Power Autom Equips"},{"key":"10682_CR15","doi-asserted-by":"publisher","unstructured":"Zhang T, Tian Z, Wang Y (2022) Electricity meter detection and recognition algorithm based on mixed feature perception neural network and classification fitting pointer. In: 2022 IEEE 5th international electrical and energy conference (CIEEC), pp. 2109\u20132114 https:\/\/doi.org\/10.1109\/CIEEC54735.2022.9846320","DOI":"10.1109\/CIEEC54735.2022.9846320"},{"issue":"20","key":"10682_CR16","doi-asserted-by":"publisher","first-page":"5946","DOI":"10.3390\/s20205946","volume":"20","author":"Z Li","year":"2020","unstructured":"Li Z, Zhou Y, Sheng Q, Chen K, Huang J (2020) A high-robust automatic reading algorithm of pointer meters based on text detection. Sensors 20(20):5946","journal-title":"Sensors"},{"issue":"5","key":"10682_CR17","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6501\/ac4079","volume":"33","author":"D Zhou","year":"2022","unstructured":"Zhou D, Yang Y, Zhu J, Wang K (2022) Intelligent reading recognition method of a pointer meter based on deep learning in a real environment. Meas Sci Technol 33(5):055021. https:\/\/doi.org\/10.1088\/1361-6501\/ac4079","journal-title":"Meas Sci Technol"},{"key":"10682_CR18","doi-asserted-by":"crossref","unstructured":"Shao L, Chen Y, Xu X, Sun W, Liu H (2021) Research on recognition of pointer meter based on improved east algorithm. In: 2021 IEEE international conference on mechatronics and automation (ICMA), pp. 287\u2013292","DOI":"10.1109\/ICMA52036.2021.9512802"},{"key":"10682_CR19","doi-asserted-by":"publisher","unstructured":"Qin X, Li N, Weng C, Su D, Li M (2022) Simple attention module based speaker verification with iterative noisy label detection. In: ICASSP 2022 - 2022 ieee international conference on acoustics, speech and signal processing (ICASSP), pp. 6722\u20136726 https:\/\/doi.org\/10.1109\/ICASSP43922.2022.9746294","DOI":"10.1109\/ICASSP43922.2022.9746294"},{"key":"10682_CR20","unstructured":"Liu S, Huang D, Wang Y (2019) Learning spatial fusion for single-shot object detection"},{"key":"10682_CR21","doi-asserted-by":"publisher","unstructured":"Xie X, Cheng G, Wang J, Yao X, Han J (2021) Oriented r-cnn for object detection. In: 2021 IEEE\/CVF international conference on computer vision (ICCV) pp. 3500\u20133509 https:\/\/doi.org\/10.1109\/ICCV48922.2021.00350","DOI":"10.1109\/ICCV48922.2021.00350"},{"key":"10682_CR22","doi-asserted-by":"publisher","unstructured":"Girshick R (2015) Fast r-cnn. In: 2015 IEEE international conference on computer vision (ICCV), pp. 1440\u20131448 https:\/\/doi.org\/10.1109\/ICCV.2015.169","DOI":"10.1109\/ICCV.2015.169"},{"key":"10682_CR23","doi-asserted-by":"publisher","unstructured":"Zhou Y, Yang X, Zhang G, Wang J, Liu Y, Hou L, Jiang X, Liu X, Yan J, Lyu C, Zhang W, Chen K (2022) Mmrotate: a rotated object detection benchmark using pytorch. Association for computing machinery, New York, NY, USA https:\/\/doi.org\/10.1145\/3503161.3548541","DOI":"10.1145\/3503161.3548541"},{"issue":"1","key":"10682_CR24","doi-asserted-by":"publisher","first-page":"919","DOI":"10.1109\/TPAMI.2022.3155612","volume":"45","author":"M Liao","year":"2022","unstructured":"Liao M, Zou Z, Wan Z, Yao C, Bai X (2022) Real-time scene text detection with differentiable binarization and adaptive scale fusion. IEEE Trans Pattern Anal Mach Intell 45(1):919\u2013931","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"10682_CR25","first-page":"8610","volume-title":"Show, attend and read: a simple and strong baseline for irregular text recognition","author":"H Li","year":"2019","unstructured":"Li H, Wang P, Shen C, Zhang G (2019) Show, attend and read: a simple and strong baseline for irregular text recognition. Honolulu, HI, United states, pp 8610\u20138617"},{"key":"10682_CR26","unstructured":"Moniz J, Pal C (2016) Convolutional Residual Memory Networks"},{"key":"10682_CR27","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2019.107333","volume":"152","author":"Y Liu","year":"2020","unstructured":"Liu Y, Liu J, Ke Y (2020) A detection and recognition system of pointer meters in substations based on computer vision. Measurement 152:107333. https:\/\/doi.org\/10.1016\/j.measurement.2019.107333","journal-title":"Measurement"},{"key":"10682_CR28","doi-asserted-by":"publisher","unstructured":"Dai Y, Huang W, Zhang D, Dai G (2022) Research and application of pointer meter reading algorithm based on attention u2-net. In: 2022 IEEE 2nd international conference on data science and computer application (ICDSCA) pp. 129\u2013133 . https:\/\/doi.org\/10.1109\/ICDSCA56264.2022.9987814","DOI":"10.1109\/ICDSCA56264.2022.9987814"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-024-10682-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00521-024-10682-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-024-10682-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,28]],"date-time":"2025-02-28T16:24:09Z","timestamp":1740759849000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00521-024-10682-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,1,3]]},"references-count":28,"journal-issue":{"issue":"7","published-print":{"date-parts":[[2025,3]]}},"alternative-id":["10682"],"URL":"https:\/\/doi.org\/10.1007\/s00521-024-10682-5","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,1,3]]},"assertion":[{"value":"2 June 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"7 October 2024","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 January 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they have no Conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}