One of many driving factors behind this automation growth is that the convergence of multiple technologies — including AI, robotics, and machine vision — has enabled the industry to democratize automation by making it easier to deploy and operate.
Would it shock you to learn that spending on artificial intelligence is on the rise? According to respondents of our Annual Quality Spending Survey, 55% of companies expect to increase their spending on AI for 2024.
Integration of the latest artificial intelligence (AI) technologies enable even deeper insights. Users achieve more reliable interpretation of complex information in less time while boosting productivity and reproducibility.
Quality plays a role in everything from cost to manufacture to sales to the reputation of the company. We all can think of any product and think of a company with excellent quality and a company with poor quality. How do we prepare the future workforce for the field?
Since no programming skills are required for easy-to-use machine vision software, industrial image processing can provide a valuable contribution to digitization for small and medium-sized companies.
As technology gets easier to use, vision and AI application design is no longer restricted to expert-level developers. A quality manager or IT operations staff can design, train, and deploy their own customizable workflow.