Visual Inspection
By analyzing images in real-time, computer vision solutions based on AI pinpoint issues and production defects with accuracy and speed. Utilizing those systems, manufacturing companies are reducing production waste, enhancing product quality, and improving operational efficiency.How can manufacturing QA be automated with computer vision?
Many different technologies and solutions contribute to the concept of a fully automated factory. Vision systems that allow for automatic detection of production defects are one of these solutions. We empower our clients to achieve new levels of manufacturing quality control. The benefits of automating defect detection are not only limited to increased efficiency but also come from valuable insights into production processes, enabling you to optimize operations and reduce costs.
Image acquisition
Capture high-quality images of your products throughout various stages of the manufacturing process. Before the images are ready for training AI models, they need to be preprocessed to extract the unique characteristics and highlight details the of analyzed objects. We help our clients during this crucial step to build successful implementation for the subsequent phases.
Model development
Train custom computer vision model specifically designed to meet your needs and quality standards. Start by understanding the specific criteria for defects and quality benchmarks. Using this information, pick up a foundation model and fine-tune it with your images dataset. Each time, measure the model accuracy on testing dataset to see if the model achieved desired accuracy.
Defect detection
The core of the system lies in its ability to analyze images in real-time, detecting defects with a high degree of precision and speed. This real-time analysis allows for immediate feedback and action. Implement the solution into production environment.
Actionable insights
When the system is running in production, we help our clients to set up comprehensive reports and analytics that offer deeper insights into the trends and patterns in production processes. Leverage these insights optimize manufacturing processes, and ultimately increase overall efficiency and customer satisfaction.
For hundreds of years, the Industrial Revolution has been inextricably linked to optimizing production processes. We are currently living in the era of Manufacturing 4.0, but we are striving for full automation of production, as expressed by the concept of the dark factory. Utilizing computer vision solutions for quality assurance is the next step in implementing this ambitious vision.
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