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.
“I want the best of both worlds.” Sammy Hagar likely wasn’t singing about machine vision and AI while fronting Van Halen, but it’s a hot topic for manufacturers.
As system designers and integrators navigate through Industry 4.0, Internet of Things (IoT), and artificial intelligence (AI), it is clear that they must balance the best solution for the problem and plan for integration with existing infrastructure and processes.
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.
Pleora's Visual Inspection System brings AI-based decision support to visual inspection and assembly processes. This interactive, on-demand demo will let you use the system to inspect an electronics board to spot product differences and generate automated reporting on manual inspection.
Start your digital transformation journey in manufacturing and assembly with this simple checklist
May 2, 2022
You want to add more digital technologies to your manufacturing operations but your day-to-day duties are keeping you from getting started - sound familiar?
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.