A Machine Learning Approach for Digitalization of Engineering Specifications and Documents

Across industries, many engineering documents and drawings have accumulated over the past few decades. However, they are mostly archived in paper or rudimentary electronic form (typically in an image or PDF format), rendering information retrieval highly inconvenient. As such, a lot of valuable engineering data have been left unutilized or at very least, difficult to access. Unfortunately, the existing open source tools do not offer a simple remedy. With this in mind, the proposed project aims to develop a systematic approach based on machine learning techniques for the digitalization of engineering specifications and documents.

Faculty Supervisor:

Jun Chen

Student:

Qiqi Wang

Partner:

Discipline:

Engineering - computer / electrical

Sector:

Information and communications technologies

University:

Program:

Accelerate