With AI and Computer Vision for image classification at nanometer scale
With AI and Computer Vision for image classification at nanometer scale
Mycronic + Softhouse – Innovation in Absolute Precision
Mycronic is a world-leading player in laser pattern generation for photomasks, used in the production of LCD displays around the globe. As demands for quality, traceability, and efficiency increased, Mycronic needed to take the next step in their digital transformation – powered by AI and advanced image analysis.
Softhouse contributed deep expertise in Computer Vision and Machine Learning, and together we built a solution that enhances real-time quality control – down to the nanometer level.
What we did
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Developed algorithms for automated image classification of photomasks
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Implemented machine learning to identify defects faster and more consistently
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Enabled increased automation and scalability in the production line
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Reduced lead times and minimized the need for manual inspection
Business value
By combining AI with production-level data, Mycronic has:
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Reduced waste and improved accuracy in production, lowering overall costs
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Enhanced product quality and reduced the risk of defects in the end product
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Enabled faster decision-making in the production flow – increasing both capacity and profitability
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Laid the foundation for future AI initiatives across more areas of the business
This is a clear example of how AI is not just a technology – but a strategic business investment that drives both competitiveness and innovation.
We’re coding the future – with AI at a microscopic scale.
Project Details
What? Develop an AI-powered solution for real-time quality control of photomasks in the manufacturing process.
Organization: Mycronic
Industry: Advanced Manufacturing / Electronics / Laser Patterning
Number of Employees: Approximately 1,500 globally
Revenue: Approximately SEK 5.5 billion (2023)
Technologies and Methodologies: Computer Vision, Machine Learning, Image Analysis, Automated Image Classification, Real-Time Data, Production Integration, AI-Powered Decision Support
Computer Vision
Computer Vision is a field within AI that enables computers to interpret and understand visual data such as images and video. Common applications include facial recognition, industrial quality control, autonomous vehicles, and medical image analysis.
Machine Learning
Machine Learning is a branch of AI where computers learn from data to make decisions or predictions without being explicitly programmed. It’s used in everything from recommendation systems to image recognition and predictive analytics.
Image analysis
Image analysis is a technology that enables computers to interpret and analyze visual content such as images and video. It’s used to detect patterns, identify objects, or analyze anomalies—often powered by AI and machine learning.
Automated image classification
Automated image classification means training computers to recognize and categorize images based on their content—without manual input. The technology enables fast and consistent identification of objects, defects, or patterns in large volumes of visual data.
Real-time data
Real-time data is information that is collected, processed, and made available instantly as it is generated. It enables fast decision-making, monitoring, and automation across areas like manufacturing, logistics, healthcare, and finance.
Production integration
Production integration means connecting digital systems directly with manufacturing processes to automate, control, and monitor production in real time. It enables more efficient workflows, better traceability, and data-driven decision-making.
AI-powered decision
AI-powered decision support uses artificial intelligence to analyze data and provide recommendations that help people make better and faster decisions. It’s applied across areas like manufacturing, logistics, finance, and customer service.