Abstract

This white paper presents a case study with Siemens Energy, where Dropslab Technologies‘ software platform was used for quality inspection in their gas turbine assembly plant in Berlin. The platform incorporated artificial intelligence (AI) and speech recognition technology to streamline the process of measuring the distance between the ceramic heat shield plates of the assembled gas turbines.

The case study highlights the significant improvements in efficiency and productivity that were achieved by using Dropslab Technologies‘ platform. By replacing the manual process of measuring and recording data with our software tool, Siemens Energy was able to save 50% of the process time and eliminate the need for an additional worker.