iMerit, a leading artificial intelligence (AI) data solutions company, introduced a new defect detection solution to accelerate AI development for advanced manufacturing and warehouse robotics applications.
iMerit's defect detection application enables AI development teams to build high-precision machine learning models for fully-automated production lines on the manufacturing floor. The solution can be fully customized to streamline defect detection on material surfaces in manufacturing environments, enabling companies to tailor it to their specific factory needs.
The new purpose-built application is fully integrated with iMerit's Ango Hub, an end-to-end enterprise-grade technology platform that enables AI teams to quickly and efficiently build scalable data pipelines and provide the building blocks for custom solutions.
“AI is being applied to all stages of the manufacturing process, from material assembly to distribution,” said Rajsekhar Aikat, chief product and technology officer at iMerit. Automated surface inspection is a prime example of where manufacturing can be accelerated by AI. “With the Ango Hub platform and our defect detection application, customers can build complex data workflows that enable them to scale, drive efficiencies, and realize better AI outputs to improve their manufacturing processes,” he explained.
Ango Hub offers custom and off-the-shelf ML plugins, allowing for the development and automation of complex data workflows. The solution combines the automation, advanced annotation tools, and human-in-the-loop expertise into a single platform to drive greater quality and efficiency in the ML training process.
Watch this video to learn more about iMerit’s data-centric AI approach and how it helps AL/ML teams annotate and manage data to ensure faster time to market and stronger ROI.
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