Quality Control of Products
Reduce your costs for quality inspection
The cost of quality inspection of complex products can reach astronomical values. Depending on the quality issues, product handling for automated inspection systems such as traditional machine vision systems is complex, if not impossible. Operators which inspect each and every product are not only costly, but also have an exhausting job and struggle maintaining the same alertness all day. Additionally, the quality decision might vary from operator to operator, bringing in a personal bias.
Detecting defective products early and based on process data enables an early and quick reaction, and minimizes missing out defects.
Machine Learning enables quality engineers to predict the quality of a product based on process data as well as images, making the decision more reliable. By reducing the need of additional quality inspection, the production becomes more cost-efficient.
Modulos AutoML makes it easy for non-Machine Learning experts such as quality engineers to find the best Machine Learning algorithm for their use case, by automating the process of feature extraction, hyperparameter tuning and model selection. Quality engineers are enabled to combine their own domain expertise in their industry with Modulos’ expertise about Machine Learning through our automated platform, enabling your company to unleash the full potential of AI.