Design and implementation of an automated PDF drawing statistics tool based on Python

Jing Li; Peizhang Wang; Lu Jia; Run Mao; Qian Li; Yongle He; Yi Sun; Pinwang Zhao

doi:10.1117/12.3003927

11 October 2023 Design and implementation of an automated PDF drawing statistics tool based on Python

Jing Li, Peizhang Wang, Lu Jia, Run Mao, Qian Li, Yongle He, Yi Sun, Pinwang Zhao

Proceedings Volume 12800, Sixth International Conference on Computer Information Science and Application Technology (CISAT 2023); 128006R (2023) https://doi.org/10.1117/12.3003927
Event: 6th International Conference on Computer Information Science and Application Technology (CISAT 2023), 2023, Hangzhou, China

Abstract

In the research institute's scientific design work, designers need to perform the task of statistical analysis for PDF drawings, including determining the dimension and number of pages of the PDF drawings, as well as calculating the equivalent amount of A4 pages. This process is tedious, time-consuming, and error prone. To solve this problem, this paper proposes the design and implementation of an automated PDF drawing statistical tool based on Python. The tool interacts with designers through a Graphical User Interface (GUI), enabling fast and accurate statistical analysis of all PDF drawings within a selected path. This significantly improves efficiency, reduces workload, and eliminates human errors.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jing Li, Peizhang Wang, Lu Jia, Run Mao, Qian Li, Yongle He, Yi Sun, and Pinwang Zhao "Design and implementation of an automated PDF drawing statistics tool based on Python", Proc. SPIE 12800, Sixth International Conference on Computer Information Science and Application Technology (CISAT 2023), 128006R (11 October 2023); https://doi.org/10.1117/12.3003927

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