An artificial intelligence algorithm-based house drawing recognition system for earthquake risk survey

Zhanling Fu; Chunli Zhang; Wuping Gao; Chengguo Yan

doi:10.1117/12.2682280

26 May 2023 An artificial intelligence algorithm-based house drawing recognition system for earthquake risk survey

Zhanling Fu, Chunli Zhang, Wuping Gao, Chengguo Yan

Proceedings Volume 12700, International Conference on Electronic Information Engineering and Data Processing (EIEDP 2023); 127002R (2023) https://doi.org/10.1117/12.2682280
Event: International Conference on Electronic Information Engineering and Data Processing (EIEDP 2023), 2023, Nanchang, China

Abstract

Considering the major problems in the earthquake risk survey, the study aims at researching, designing, and building a house drawing recognition system for the earthquake risk survey. Focusing on Optical Character Recognition technology (OCR), together with artificial intelligence algorithms such as text detection based on Differentiable Binarization (DBNet) algorithm, CRNN+CTC algorithm-based image recognition, and image segmentation with K-means algorithm, this paper elaborates on the operation process, technology selection, system design, and application effect of the system. The system shows positive effects on the collection, calibration, and output of census data, which improves the efficiency and quality of earthquake risk surveys.

Citation Download Citation

Zhanling Fu, Chunli Zhang, Wuping Gao, and Chengguo Yan "An artificial intelligence algorithm-based house drawing recognition system for earthquake risk survey", Proc. SPIE 12700, International Conference on Electronic Information Engineering and Data Processing (EIEDP 2023), 127002R (26 May 2023); https://doi.org/10.1117/12.2682280

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