Enhanced Traceability Methodology Based on Ocr Deep Learning Techniques in the Metalworking Industry

Abstract

[Abstract] The implementation of digital traceability solutions has become essential to improve the efficiency and ensure the quality of the production processes across all industries. In the shipbuilding sector, where subcontractors play a vital role, the ability to effectively track and document each part produced is extremely important. This study focuses on the implementation of a traceability system in a Spanish metal manufacturing company supplying a shipyard by evaluating various image processing techniques and multiple Optical Character Recognition to identify marked parts and determine the most effective solution for this application. The results of the implementation of these models were successful and represent a viable solution for the improvement of the efficiency and accessibility of information retrieval processes within the industry.