Join our live webinar and learn how manufacturers are relying on new AI visual inspection tools to reduce costs, increase efficiencies, and ensure end-to-end quality.
Register for this on-demand webinar for a quick overview on how an electronics manufacturer is using visual inspection and AI to improve end-to-end quality.
A electronics manufacturer with expertise in high-value, lower volume products uses AI-based automated image compare capabilities to help ensure product quality during visual inspection processes.
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
Computer tomography (CT) has traditionally been used in the healthcare field. But, engineers at BMW recently started to use the technology to improve quality. They use it for prototype development, production and analysis, a first in the automotive industry.
Project quality and product quality are different things, but they are inextricably linked—or they should be. It is possible for a project to seem successful and deliver the anticipated result, only to find out later the product is not what was expected.
Ensuring high quality is relatively easy when all you have to do is assemble one small product at a very high volume. Such an item will likely be produced on a high-speed automated assembly system. Assuming there are no issues with the incoming parts, the system will consistently produce perfect assemblies all day long.
