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Visual inspection system helps ensure brand quality for distillery that makes spirits from milk

Dairy Distillery uses a visual inspection system to add AI-based decision-support for labelling and quality control

Vodkow bottles in production - Pleora Technologies.jpg

The distillery’s Vodkow bottle integrates machine-placed labels with a distinctive emblem that is hand-placed by a human operator. 

Photo courtesy of Pleora Technologies

visual inspection system and distillery - Pleora Technologies.jpg

To help ensure brand consistency, the distillery uses the AI-based visual inspection system to add decision-support for manual labelling processes. 

Photo courtesy of Pleora Technologies

Vodkow bottles in production - Pleora Technologies.jpg
visual inspection system and distillery - Pleora Technologies.jpg
March 3, 2022

Canada-based Dairy Distillery, a spirits producer that combines artisanal distilling techniques with a scientific process to transform milk into vodka, is using Pleora Technologies’ visual inspection system to help maintain brand quality standards and reduce errors that increase operating costs and slow production. 

Dairy Distillery has pioneered a process that uses milk permeate, a byproduct left over after cream, fat and proteins have been removed from whole milk for use in products such as butter, ice cream and yogurt, to create a clean and pure spirit. 

Previously, milk permeate was considered a waste product that had to be disposed of at a cost to the farmer. Founded in 2018, the Almonte, Ont.-based business now ships over 100,000 bottles of its flagship Vodkow Vodka and cream liquors to global customers. In 2020, the distillery became a major supplier of hand sanitizer to Ottawa hospitals and vaccination clinics as part of the fight against Covid-19.

Operating in a highly competitive market, brand appearance is a key factor in ensuring consumer shelf appeal. The distillery’s Vodkow bottle integrates machine-placed labels with a distinctive emblem that is hand-placed by a human operator. The operator needs to accurately align the emblem with brand elements on the main label to ensure a consistent and appealing shelf display.   

“We’re a world-class product, and our packaging needs to look perfect every time,” says Neal McCarten, co-founder and director of marketing, Dairy Distillery. “When you say you’re making vodka from milk, it can be a leap of faith for a consumer until they taste the product. Our packaging fashioned after a traditional milk bottle and eye-catching labelling is a real shelf talker that helps a consumer connect with the story behind the product. Consumers often judge what’s inside a bottle based on its appearance.”   

To help ensure brand consistency, the distillery uses the AI-based visual inspection system to add decision-support for manual labelling processes. The camera-based system integrates pre-packaged AI plug-ins that are easily trained on a customer’s unique requirements to visually highlight product differences and deviations for operators and inspectors on a display. The distillery trained the Image Compare plug-in to identify key brand elements on the bottle, with a real-time on-screen image overlay then guiding operators as they manually place the emblem. In addition, the system can be used as a training tool to teach new employees on brand quality standards. 

The inspection system helps the distillery reduce costs and avoid production downtime, as labelling errors can be avoided or detected earlier in the process. As the distillery seeks to further automate production processes to keep pace with growing consumer demand for its products, it is now investigating ways to use the system for quality control (QC) checks for in-production and finished goods.  

“As a premium brand, there’s an important human element to our processes--from the distilling to packaging--but technology helps ensure high-quality products consistently go out the door,” says David Geros, chief operations officer, Dairy Distillery. “Packaging errors translate into downtime, slower production and higher costs. [Our visual inspection] system is simple and easy to use, and helps removes ambiguity and stress for employees. We can check a product and know immediately if the labelling is within tolerance. As a QC tool, the inspection system helps increase our confidence in both our manual and automated processes.”

KEYWORDS: artificial intelligence (AI) dairy inspection systems quality control

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