Computer Vision in
Food & Beverage

AI-powered computer vision from LandingLens enables fast, accurate inspection and monitoring for food and beverage manufacturers, improving quality and efficiency at scale.

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Applications of AI in Food and Beverage Manufacturing

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.

Ingredients Inspection

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.

Process Quality Monitoring

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.

Manufacturing 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.

LandingLens Benefits for Computer Vision
and AI in Food
& Beverage Manufacturing

LandingLens democratizes computer-aided vision by making
it super-easy to configure, train, and deploy your own tailored applications. The end-to-end platform standardizes deep-learning solutions, helping to cut development time, enable near-limitless scaling, and deliver rapid results. This positions LandingLens as a transformative, AI-driven force in the food and beverage industry, delivering F&B solutions that redefine manufacturing efficiency and innovation.

Improve Quality and Reduce Waste Compliant

Increase Productivity

LandingLens enables automated food and beverage product inspection applications that rapidly spot irregularities, measure freshness, and assess uniformity. With AI-powered computer vision, food companies can detect quality issues earlier, reduce recalls, and strengthen consumer trust in their brands.

Automated visual inspection enabled by LandingLens can also precisely count and portion out ingredients to minimize giveaway rates and protect profit margins.

Success in food and beverage manufacturing depends on doing more with less: delivering more product and meeting higher standards at less time, cost, and effort.

With AI-powered computer vision enabled by LandingLens, manufacturers can automate intricate and repetitive sorting, counting, packaging, and inspection processes, thereby reducing processing costs.

By acting at a level of speed and accuracy unattainable by human operators, the LandingLens computer vision platform reduces labor cost and elevates manufacturing productivity.

LandingLens Makes Computer Vision
Accessible

Create and test your computer vision AI model in minutes. Simply upload a few images, label them, and click “Train”.

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Request Demo

LandingLens Makes Computer Vision Accessible

Create and test your computer vision AI model in minutes. Simply upload a few images, label them, and click “Train”.

Start For Free

Request Demo

Leverage Your Data in Snowflake

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!

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