Industrial feed lines in mining, food production, and recycling require more than simple object identification. They need a comprehensive, real-time understanding of material properties. When subtle differences in composition, texture, or density determine a product's fate—whether accepted, rejected, or rerouted—the stakes are enormous. This multi-billion dollar global industry sees direct benefits from deeper material insights: significant process savings, higher yields, reduced waste, and meaningful circular economy wins.

Yet conventional robotic vision systems lack this crucial sensitivity. They can see, but cannot feel. In these industries, feel is often everything.

"Zabidou has developed a novel laser sensing system that generates over 100,000 points per second—each one imprinted with the feeling of touch on every pixel in the environment." - Dr Cibby Pulikkaseril

This breakthrough enables unprecedented precision. Machines can now distinguish between visually similar materials that behave differently, advancing smarter, leaner, and more sustainable operations.

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