When a leading medical device manufacturer sought to leverage deep learning in its inspection of transparent medical components, EZ Automation offered a quickly deployed, highly accurate automated vision inspection system. The Problem Medical device manufacturers have long relied on machine vision for quality assurance. But traditional rules-based vision systems do not adapt well to environmental...
When a global manufacturer of transparent medical components needed to reduce waste from false rejects while improving defect detection rates, EZ Automation’s EZ Eye platform delivered production-speed inspection that dramatically improved both quality and efficiency. The Problem A leading global manufacturer of transparent medical components confronted a dual challenge in its quality assurance operations:...
In the race toward AI-powered automation, vision-language models (VLMs) are gaining attention for their ability to interpret images using natural language prompts. However, when it comes to industrial inspection systems, not every cutting-edge model translates into real-world reliability. At EZ Automation Systems, our experience shows that traditional rule-based and deep learning inspection systems—when properly designed...
Jacksonville, Fla., October 2, 2025—EZ Automation Systems, a leader in advanced automation, demonstrates a new inline configuration of its PIQuE automated surface inspection system at Booth 310 during the ISA Automation Summit & Expo, held October 5–7 in Lake Buena Vista, Florida. EZ initially introduced PIQuE as a robotically enabled 360-degree vision system that uses...
Jacksonville, Fla., October 2, 2025—EZ Automation, a leader in advanced automation, introduced the latest benchmark for the efficiency gains that its EZ Eye automated inspection can deliver for quality assurance operations. Analysis of customer project data showed that EZ Eye enabled a 55% reduction in the work hours required to train deep-learning systems for challenging...
As manufacturing lines accelerate and product complexity grows, AI-driven inspection is rapidly replacing traditional quality control methods. For decades, manual inspection has been the default approach of teams of operators visually checking for surface defects, missing components, or alignment errors. But in today’s high-speed, high-precision environment, the margin for human error has become too costly...