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Pleora Technologies introduced new production-ready and customizable performance advances for its AI solutions to help manufacturers improve frontline processes and collect inspection data for analytics.
In part one of this article, we covered some of the advantages of AI for visual inspection and discussed how an electronics assembly company is using the technology to help human inspectors and track products. In part 2, well look at how a distillery uses the system for packaging inspection.
Product perfection is now an expectation for consumers, which places far more pressure on manufacturers to always deliver. Surprisingly, a great deal of quality control and inspection still relies on the human eye and subjective decisions.
DICA Electronics Ltd is deploying Pleora’s Visual Inspection System to reduce manufacturing quality escapes and gather key data from manual processes to help speed root cause analysis.
You've received a customer call on a Friday afternoon, "Our boards aren't working. Didn't your team test these? We have an urgent delivery and this quality is not assuring."
For products in the consumer, parts, food & beverage, and print & packaging markets, a significant portion of the manufacturing process still relies on manual tasks performed by human operators.
Visual inspection is the oldest method for quality control. Humans excel at detecting cracks, deformities, subtle flaws, and missing parts. Depending on the product, we can rely on taste and smell to spot differences.
Unique distillery that produces spirits from milk relies on AI-based visual inspection system to help protect brand and provide quality control checks as its business expands
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