LandingLens enables always-on, continuous inspection and analysis of image streams. With very few false positives, LandingLens introduces highly reliable computer vision technology in the food and beverage industries, supporting production from ingredients to packaging.

At every production stage, LandingLens enables high-accuracy inspection at very high throughput. For ingredients, LandingLens can inspect for color, foreign objects, mold, and quantity. Almost any visible aspect can be checked at high speed and with very high precision. For example, LandingLens can detect anomalies in bulk products like rice, flour, or sugar, ensuring computer vision food inspections support higher quality and fewer rejects.

AI in food manufacturing needs to adapt to varied product types. With LandingLens, real-time monitoring helps maintain consistency across the line. For example, as pizza mix moves through production, LandingLens watches for color, rise, size, and shape. Easy-to-train models allow even non-technical users to apply computer vision in food industry workflows for better quality control.

Machine feedback is essential at every stage of production. Fill levels, labeling, temperatures, and ingredients are constantly tracked. LandingLens integrates seamlessly with existing systems, providing vision technology for food manufacturing to ensure packages are correctly filled and labeled with fresh, safe products. This enhances efficiency while improving AI in the F&B industry's operations.
Already have your images in Snowflake? LandingLens is available in the Snowflake Marketplace! This means that LandingLens can directly access the images that you already have stored in Snowflake.
Additionally, you can do it all within the secure, governed boundary of the Data Cloud!
