Monday, June 24, 2024

SixSense AI Platform

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“ClassifAI software is able to take any kind of image data—optical, SEM, X-Ray, etc—and analyse it for accurate defect classification.”

When you are into production, especially giga-scale and mega-scale production, you need sharp visuals and a lightning speed of screening to prevent damaged devices from reaching your customers.

SixSense has developed a no-code platform for building, monitoring, and maintaining deep learning models for computer vision applications. Currently, production engineers utilise the platform to create AI models that can detect and classify defects in photos. They are shifting from a decade-old inspection process based on manual labour or rule-based systems to a significantly more efficient and scalable AI-based solution using the SixSense AI platform.

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What happens when there are multiple inaccurate inspections
• Cost of labour increases
• Delays are introduced
• Increase in rejects and false alarms
• Certain defects are missed

Visual quality inspection is one of the most critical processes in manufacturing and is used to control the cost of quality. In a 24/7 production line, visual checks that happen increase the cost of quality exponentially. Today, inspections have a very high error rate of up to 40%. Manufacturers generally have a team of operators, who might make mistakes due to factors such as fatigue or oversight.

The processes behind ClassifAI (Credit: SixSense AI)
The processes behind ClassifAI (Credit: SixSense AI)

Sometimes, engineers automate their processes using rule-based algorithms. But they fail to scale and adapt to a broader catalogue with subtle variations between defect classes. This leads to defects getting missed or false alarms.

How does ClassifAI work?
• You can upload and label large volumes of data in a matter of seconds
• You can also ask for AI suggestions and label data in just a few clicks
• The platform comes with pre-trained models specialised for defect identification
• The pre-trained models get automatically tuned to your dataset as you enter details about your data
• In many cases, AI takes multiple views of a defect into account to make a classification decision
• ClassifAI separates new defects and quickly adapts to them
• Once the model is trained, you look at its performance and can debug errors
• Models with high performance are instantly deployed to production

“We have identified this problem and have built an accurate AI-powered automatic defect classification software called ClassifAI,” says Akanksha Jagwani, Co-Founder & CEO at “Our technology integrates with existing image capture tools, analyses at a very high speed, and classifies the defect into various categories. The AI monitors and maintains itself and ultimately writes back the class codes of the defects for decision making.” This software is able to take any kind of image data—optical, SEM, X-Ray, etc—and analyse it for accurate defect classification.


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