March 19, 2024, 4:43 a.m. | Jesher Joshua M, Ragav V, Syed Ibrahim S P

cs.LG updates on arXiv.org arxiv.org

arXiv:2403.11291v1 Announce Type: cross
Abstract: The maintenance, archiving and usage of the design drawings is cumbersome in physical form in different industries for longer period. It is hard to extract information by simple scanning of drawing sheets. Converting them to their digital formats such as Computer-Aided Design (CAD), with needed knowledge extraction can solve this problem. The conversion of these machine drawings to its digital form is a crucial challenge which requires advanced techniques. This research proposes an innovative methodology …

abstract advanced arxiv cad conversion cs.cv cs.lg deep learning design digital extract extraction form industries information knowledge maintenance simple them translation type usage

Founding AI Engineer, Agents

@ Occam AI | New York

AI Engineer Intern, Agents

@ Occam AI | US

AI Research Scientist

@ Vara | Berlin, Germany and Remote

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne