Raise a Glass to Vision AI: QC for Brewers & Beverage Manufacturers

As a Simpsons fanatic, I can’t help but think of Homer Simpson and his beloved Duff on National Beer Day (April 7th). This year, I’m reminded of “Duffless,” an episode that sees Homer and dipsomaniacal friend Barney Gumble take a tour of the Duff Beer factory. One stop introduces Barney and Homer to “the most important man on the tour,” an employee named Phil who’s responsible for quality control.

With robotic precision, Phil spots bottles containing foreign objects (mice, rats, a nose) and removes them from the conveyor belt. It helps keep Duff-lovers safe and helps maintain Duff’s strong reputation. Then, Barney introduces himself to thank Phil for all the hard work. As Phil and Barney trade pleasantries, a number of dangerous foreign objects and defective products pass by unnoticed. 

While the Duff factory is an extreme example, it’s also an illustrative cautionary tale. Relying on the human eye alone leaves organizations vulnerable not only to errors, but to related consequences including fines and reduced consumer confidence. 

Plainsight’s end-to-end vision AI platform enhances the tracking and monitoring capabilities of customer organizations to optimize quality control processes and reduce their reliance on error-prone, manual approaches.

Plainsight’s object detection, counting, and tracking capabilities enhance enterprise customers’ approach to quality assurance and control.

The Cost of Food and Beverage Recalls 

Food Safety calls recalls the food industry’s single biggest threat to profitability. While the average cost of recalling a contaminated product is difficult to quantify, even companies who execute successful recalls in a matter of weeks can expect costs to total in the millions. That figure includes myriad direct and indirect costs, including: 

  • Product disposition fees
  • Lost sales
  • Diminished consumer confidence
  • Legal, public relations, safety consultant, and other ‘crisis management’ fees
  • Costs associated with introducing corrective processes
  • Damage to corporate reputation
  • Fines

Recalls are on the rise too. In 2019, the Food and Drug Administration reported that product recalls saw a quarterly dip for the first time in five years. Why? Because the longest government shutdown in history occurred during that period, resulting in fewer quality inspections. Though the majority of recalls affect small manufacturers, name brand products like Skippy have already disappeared from store shelves this year.

Computer Vision for Quality Control and Assurance

The sheer number of recalls that occur each year suggest that typical best practices for identifying, tracking, and remediating hazards simply aren’t working well enough. Plainsight can help businesses of all sizes ensure the quality of all types of products by expediting and simplifying the process for creating and deploying custom AI models for proactively identifying risk factors, tracing contamination to the source, and identifying impacted process stations and equipment. 

Plainsight improves processes for promoting product quality and safety by making it easier to: 

  • Identify hazards like foreign objects in real time 
  • Monitor facilities round the clock for process adherence
  • Introduce automated alerts to bring attention to potential foreign objects and contaminants
  • Establish an auditable record of visual data for quick remediation and ongoing model training
Plainsight’s models for identifying foreign objects have applications for food and beverage manufacturers of all types. They’re useful for agribusinesses too!

Further along in the production process, Plainsight offers resources to create models for ensuring the quality of packaging, labels, and more.

Why Plainsight?

Avoiding the costs and headaches of a product recall doesn’t need to mean adding more complication and stress to your processes. Plainsight slashes time to value for computer vision projects and expedites AI automation, often allowing for deployment in just a few days.

  • Easy Integration: Plainsight is flexible, capable of working alongside your existing management systems for video feeds and other visual data.
  • AI Automation: Plainsight’s unblinking eyes continually monitor for relevant objects, situations, and events to continually improve while reducing the costs and inaccuracies of manual processes.
  • Informed Decision Making: Plainsight offers insights into your quality assurance and quality control processes to enable better, more strategic decision making in the short and long term.

Vision AI Use Cases for Food Service

Plainsight supports and transforms businesses across the entire food and beverage value chain. At the restaurant level, enhanced computer vision capabilities provide insights into performance and customer behavior to optimize service and help take advantage of elevated demand. 

Quality control is crucial for restaurateurs too. Learn more about how Plainsight’s no-code platform can help businesses maintain a higher level of quality to better satisfy diners.

Make a New Commitment to Quality with Plainsight

Get started with Plainsight today by uploading your dataset and building a custom vision AI model through Plainsight On-Demand. If you’ve got specific questions about connecting the computer vision lifecycle from end to end can transform your operations, reach out to schedule a free demo today

However you’re celebrating, avoid following Barney and Homer’s example and remember to drink responsibly.

Bennett Glace is a B2B content writer and Simpsons fanatic from Philadelphia.

More Plainsight Blog Posts:

5 Ways Agribusinesses Can Prevent Recalls, Shutdowns, and Delays with Vision AI

5 Ways Agribusinesses Can Prevent Recalls, Shutdowns, and Delays with Vision AI

Investments in computer vision technology can help agribusinesses and food manufacturers of all types spot signs of trouble early and stop costly, potentially deadly recalls before they happen. Deployed across the production and manufacturing cycles, these models can detect hazards ranging from contaminants and foreign objects to defective equipment and non-compliant behavior. Organizations capture hundreds of thousands of hours of visual data in the form of video footage and imagery every day, and computer vision allows these businesses to put this data to work for process transformation.

How Can Vision AI Predict and Prevent Supply Chain Disruptions?

How Can Vision AI Predict and Prevent Supply Chain Disruptions?

Introducing computer vision across the supply chain can help manufacturers predict and prevent the types of conditions that lead to these kinds of disruptions. From potential contaminants and foreign objects to defective products and packaging to unsafe or unsanitary behavior, computer vision is the key to recognizing supply chain obstacles early and stopping shortages in their tracks. AI solutions could prove especially useful in volatile, high-production periods where errors and disruptions are both especially likely and especially costly.