Case Study: Mitsui Chemicals achieves 80% reduction in visual inspection time with MathWorks' MATLAB

Mitsui Chemicals Deploys AI and Automation Systems with TensorFlow and MATLAB

Mitsui Chemicals, which develops factory automation solutions using AI and machine learning, struggled to deploy TensorFlow/Keras–based visual inspection models on the production line due to field implementation, ease-of-use, and maintenance issues. To address these challenges they turned to MathWorks and its MATLAB platform.

Using MathWorks’ MATLAB with the Deep Learning Toolbox (to import TensorFlow‑Keras models) and MATLAB Compiler/MATLAB Runtime to build and distribute user-friendly applications, Mitsui Chemicals shortened development time, achieved high accuracy, and reduced visual inspection time by 80% while effectively reusing models trained in other frameworks.

Mitsui Chemicals

Shintaro Maekawa

Mitsui Chemicals