## 5 Conclusions
\begin{table}
\begin{tabular}{c c c c c c c c} \hline \hline
**Source** & **Year** & **Title** & **Engineering** & **Process Step** & **Learning** & **Dataset** \\  & & & **Domain** & & & & **Technique** & \\ \hline
[195] & 1999 & Automated CAD conversion with the Machine Drawing Understanding System: concepts, algorithms, and performance & mechanical & detection & without Learning & own \\
[194] & 1999 & Automatic extraction of manufacturable features from CADD models using syntactic & mechanical & detection + contextualization & without Learning & own \\
[196] & 1999 & pattern recognition techniques & mechanical & detection & without Learning & own \\
[197] & 1999 & Dimension sets detection in technical drawings & mechanical & detection & without Learning & own \\
[198] & 1999 & A complete swarm of the intelligent interpretation of engineering drawings & mechanical & detection & with Learning & own \\
[199] & 2000 & Symbol and character recognition: application to engineering drawings & mechanical & detection & with Learning & own \\
[200] & 2000 & Engineering Drawing Database Retrieval Using Statistical Pattern Spotting Techniques & mechanical & detection & with Learning & own \\
[201] & 2001 & Intelligent swarm detection of production data from CADD models & mechanical & detection & without Learning & own \\
[202] & 2004 & Strategy for Line Drawing Understanding & mechanical & detection & without Learning & own \\
[203] & 2004 & A new order object names in drawing & mechanical & detection & without Learning & own \\
[204] & 2006 & Information extraction from scanned engineering drawings & mechanical & detection + contextualization & without Learning & own \\
[205] & 2010 & An infentent extraction of the panel in engineering drawings and automatic generation & mechanical & detection + contextualization & without Learning & own \\
[206] & 2011 & System engineering drawings to engineering drawings: Visual recognition and applications & mechanical & detection & with Learning & synthetic \\
[207] & 2016 & Dimensional Arrow Detection from CAD Drawing & mechanical & detection & without Learning & own \\
[201] & 2017 & Over-based Optical Recognition for Engineering Drawing & mechanical & detection & with Learning & own \\
[201] & 2019 & Detection of Philips Engineering Drawing using Genetic Algorithm & mechanical & preprocessing & without Learning & open source \\
[202] & Extraction of dimension requirements from engineering drawings for supporting quality & mechanical & detection & with Learning & own \\
[203] & 2021 & An Automated Engineering Assistant Learning Parsers for Technical Drawings & mechanical & detection & with Learning & own \\
[204] & 2022 & Data Augmentation of Engineering Drawings for Data-Driven Component Segmentation & mechanical & detection & with Learning & synthetic \\
[205] & 2022 & AI-Based Engineering and Production Drawing Information Extraction & mechanical & detection & with Learning & synthetic \\
[206] & 2022 & Unsupervised and hybrid vectorization techniques for 3D reconstruction of engineering & mechanical & detection + contextualization & with Learning & own \\
[207] & 2023 & Graph neural network-enabled manufacturing method classification from engineering & mechanical & detection + contextualization & with Learning & own \\
[208] & 2024 & An Approach to Engineering Drawing Optimization: Title Block Detection and Processing & mechanical & detection + contextualization & with Learning & own \\
[209] & 2023 & AI-Based Method for Frame Detection in Engineering Drawings & mechanical & detection & with Learning & own \\
[210] & 2023 & Component segmentation of engineering drawings using Graph Convolutional Networks & mechanical & detection + contextualization & with Learning & own \\
[211] & 2024 & Information Extraction for Mechanical Engineering Drawings-A-Digital Image & mechanical & detection & with Learning & own \\
[212] & 2025 & Processing and Deep Learning-driven symbol recognition approach in engineering drawings & mechanical + civil & detection & without Learning & own \\
[213] & 2018 & Hand-written and machine-oriented text classification in architecture, engineering \& mechanical & detection & with Learning & own \\
[214] & 2026 & An image-based, trainable symbol recognition for band-draw sketches & mechanical + electrical & detection & with Learning & own \\
[215] & 2027 & An efficient graph-based version for band-draw symbols & mechanical + electrical & detection & with Learning & own \\
[216] & 2028 & An efficient graph-based symbol recognition using a few labeled samples & mechanical + electrical & detection & with Learning & own \\
[217] & 2029 & An efficient graph-based symbol recognition using a few labeled samples & mechanical + electrical & detection & with Learning & own \\
[218] & 2029 & Graphic symbol recognition using a signature technique & PGD & detection & without Learning & own \\ \hline \hline \end{tabular}
\end{table}