Set up your line for success in 2021: Lessons for improving product line efficiency and effectiveness
Due to the circumstances of 2020, manufacturing budgets and timelines have been under an ever-increasing microscope. This sentiment certainly rings true when we looked back at the most-read content from our blog over 2020, where improving efficiency and effectiveness seem to be top-of-mind. Set your line up for success in 2021 with these tips from our most-read posts of 2020, here!
The information generated by machine vision systems puts a whole new spin on the term “big data.” The raw image files output from vision systems are huge, and manufacturers can generate terabytes of image data in a month—even in a week! So, what do you do with all this data? Read more to find out!
Are your machine vision needs on the production line better served with a smart camera, or a “dumb,” more basic one? Before you make the investment, consider these factors that can dictate which option is better for a given situation.
With each new year, many of us take time to reflect on our past and set goals for the future. Why not apply the same exercise to your production line? To help you improve your production line in 2019, we have provided the following tips, chock full of insights from our experts.
A smart camera or machine vision system can do so much more than basic, "dumb" cameras—but many manufacturers don't take advantage of their full capability in terms of data analysis. That’s where the opportunity arises to generate a strong return on your machine vision investment, unlocking the full potential of the "black box".
Machine vision images and data are a valuable part of the Manufacturing 4.0 equation. The problem is that machine vision images and data are often trapped in silos across the plant floor, with images stored in formats that make them difficult to access and analyze. With the right data management strategy, you can make this data accessible to your team so it can drive value.
Machine vision images and related data can be used for much more than basic pass/fail determination during the process cycle. We get into how this data can be collected, correlated and analyzed will all other production data as part of a comprehensive IIoT strategy.