Join leading companies like CarMax, Discount Tire, and Yamaha who are using Leverege to transform their real-world operations.
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Join leading companies like CarMax, Discount Tire, and Yamaha who are using Leverege to transform their real-world operations.
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Leading companies like TPI Composites rely on WorkWatch to improve production efficiency, security and safety with complete operational visibility.
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Leading companies like Discount Tire have implemented PitCrew in all their service centers to achieve maximum performance and throughput.
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Leading companies like Schnucks Markets have implemented ExpressLane wherever they have lines of people or vehicles, delighting customers with shorter wait times and faster service.
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Core gaps and misplaced components carry structural risks and quality costs. Catching them means checking the work before it's too late.
Components and core is one of the least forgiving stages of wind blade layup. When the blade's internal structure comes together, spar caps, edge reinforcements, and core all have to land within tight tolerances. Once the final layup glass covers them, there's no second look. That's part of why core gaps are a common manufacturing defect in wind blades, and the damage they cause can quietly grow over a blade's service life.
Laser projection systems already show crews where every component and core block belongs. But a projected line only shows where a piece should go, not where it landed. AI-powered visibility from WorkWatch closes that gap, turning "we projected the lines" into "we can see and verify where everything went."
Every piece of a wind blade's inner structure is essential, which means small placement errors don't stay small.
Once infused, a core gap fills with resin and distorts the fiberglass around it. In NREL's testing, a 10 mm gap cut the static strength of epoxy sandwich beams by roughly 35%, and the specimens showed delaminations running away from the gap, which the researchers warned could spread toward spar caps and shear webs. Sandia National Laboratories has long noted that early blade failures typically start at manufacturing defects. A gap that's a quick fix in production can cost a blade in the field if its left unaddressed.
The check has to happen while the work is still exposed. The laser system already defines the targets by projecting minimum and maximum tolerance lines for each component. Verifying this stage means confirming that every component actually went in and landed between its lines and that every gap is within tolerance. The flags need to reach the crew while a block can still be nudged back into place.
That's the kind of visibility WorkWatch is built to provide. It alerts crews on the floor through a line display while there's still time to fix an issue, and gives quality teams off the floor a dashboard view of every stage.
Using cameras and AI, WorkWatch also creates an audit trail of the blade production process, capturing images of the work before the next layer covers it. That record pays off long after the blade ships. When a question comes up in the field, quality teams can pull the images instead of relying on memory. For contract manufacturers, it's proof that every stage was built to spec, which limits liability down the line.
As production schedules get tighter, the margin for unseen errors keeps shrinking. AI visibility helps manufacturers keep pace, with cameras that don't get tired, checks that run on every shell, and a record that outlasts any single shift. Small errors only stay small when they're caught and fixed early.
To see what AI visibility could mean for your operation, schedule a demo of WorkWatch today.