Automated Extraction from Aerospace Engineering Diagrams Using Computer Vision Techniques

Aerospace engineering design and manufacturing greatly rely on accurate and efficient plane wing diagram data extraction. This paper introduces an innovative technique for automating the process using state-of-the-art computer vision approaches. Cutting edge image processing technologies extract vital technical metrics from these schematics. Experimental results demonstrate this methodology extracts information approximately four times faster than human input and with considerably higher precision. Improved design workflows and dependable engineering results are encouraged by such a feature. Collectively, these initiatives moreover offer insight into how computer vision may revive outdated methods in aeronautical engineering. Streamlined yet trustworthy design processes and results are made possible through such automated and precise data extraction from schematics. Meanwhile, revived methods hold potential to re-energize the field and ensure continued advancement.

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Publication Details

Published
2024-10-04
DOI
https://doi.org/10.1109/i4c62240.2024.10748426
Citations
1
Primary Topic
Manufacturing Process and Optimization
Type
article
Field-Weighted Citation Impact
0.35
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article

Automated Extraction from Aerospace Engineering Diagrams Using Computer Vision Techniques

Hemanth Bysani, Shreya Manepalli, Ashutosh Karanam
1 citations
Manufacturing Process and Optimization
0.35
article

Automated Extraction from Aerospace Engineering Diagrams Using Computer Vision Techniques

Hemanth Bysani, Shreya Manepalli, Ashutosh Karanam
article en
1 citations

Abstract

Aerospace engineering design and manufacturing greatly rely on accurate and efficient plane wing diagram data extraction. This paper introduces an innovative technique for automating the process using state-of-the-art computer vision approaches. Cutting edge image processing technologies extract vital technical metrics from these schematics. Experimental results demonstrate this methodology extracts information approximately four times faster than human input and with considerably higher precision. Improved design workflows and dependable engineering results are encouraged by such a feature. Collectively, these initiatives moreover offer insight into how computer vision may revive outdated methods in aeronautical engineering. Streamlined yet trustworthy design processes and results are made possible through such automated and precise data extraction from schematics. Meanwhile, revived methods hold potential to re-energize the field and ensure continued advancement.

PES University (IN), Birla Institute of Technology and Science, Pilani (IN), Amrita Vishwa Vidyapeetham (IN)
Openalex Percentile: Top 34%
Manufacturing Process and Optimization
0.35
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