AI Casting Defect Analyzer: Automating Quality Control

Step into the future of foundry production. Traditional visual quality control is time-consuming, requires highly skilled operators, and is inherently susceptible to human error. The GussMaker team introduces the “AI Casting Defect Analyzer”—an innovative tool designed to automate and dramatically streamline quality control processes in foundries.

Built upon an advanced, open-source multimodal AI model, our analyzer can perform an objective analysis of a casting’s surface from a photograph in seconds. This technology empowers you to reduce the workload on your QC department, minimize subjectivity in assessments, and significantly accelerate your production cycle. Implementing such systems is a direct path to reducing costs and improving overall manufacturing profitability. This is more than just a technology demonstration; it’s your first step towards implementing Industry 5.0 at your facility.

How to Use

To unlock the full potential of our AI tool and achieve the most accurate results, please follow these guidelines:

1. Centering and Focus – Our AI model analyzes a resized 300×300 pixel image. To ensure the AI’s ‘attention’ is focused precisely on the potential flaw, make sure the suspected defect is centered in the frame and is the sharpest element in the photo.
2. Lighting Quality – Quality lighting is the key to a successful analysis. Use even, diffused light to avoid deep shadows. Ensure there is no direct glare on the casting’s surface, as the model could misinterpret it.
3. Examples – For best results, please refer to the examples of high-quality images provided below.

Important Disclaimer

This tool is provided for demonstrational and informational purposes only, to showcase the potential of AI technologies within the Industry 5.0 framework. You use this service entirely at your own risk. The GussMaker team assumes no responsibility for the accuracy of the analysis results or for any decisions made based on them.