Blind Spots in Traditional Manufacturing Quality Control Methods
Quality control is the backbone of manufacturing. Without it, defects slip through, leading to costly recalls, dissatisfied customers, and damage to a company’s reputation. Yet, traditional manufacturing quality control methods often have blind spots that can...
Edge Systems: Immediate Protection vs. Data-Driven Improvement
In today’s blog post, Derek Bleyle, VP of Product for ClearObject, shares how the combination of edge computing with scaled data collection and analysis enables continuous improvement. Edge computing provides immediate, localized protection through rapid...
How to Use Vision AI for Manufacturing Quality Control
Forward-thinking manufacturers are constantly seeking ways to improve quality control while reducing costs and inefficiencies. Traditional quality control methods, often relying on manual inspection and rule-based automation, can be slow, error-prone, and costly....
Vision AI Trends for 2025
Imagine a world where factory vision systems don’t just detect part defects in front of them, but also naturally discuss what is happening on the manufacturing line with you, all in context of relevant equipment sensor data, maintenance records, and product...