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Glimpse's new software leverages deep learning to accelerate CT scanner throughput for quality control in critical hardware sectors like aerospace and EVs. By enabling tens of thousands of scans per day, this tool directly addresses the bottleneck of statistical sampling that previously hindered defect detection in battery cells and other complex components. The technology represents a practical application of AI/ML to improve manufacturing reliability and reduce costly recalls through faster image processing pipelines.

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Glimpse wants to give hardware companies an X-ray view of every critical part

TechCrunchOctober 6, 20264 min read

Called Explore, Glimpse's new image processing software lets hardware makers speed up quality control checks using CT scanners.

Recalls are no joke. Take the one that sidelined every Chevy Bolt made between 2017 and 2022: A problem at an LG battery factory caused some parts inside the cells to be installed improperly, which ultimately cost LG $1.9 billion. Pretty much every major manufacturer has to deal with recalls. In the EV space alone, Volkswagen, Stellantis, Hyundai, Toyota and others have all suffered through them. “The majority of…

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