If you're planning to use machine vision to assist with quality control or automate other visual inspections, there are some things you need to account for when designing your system. In the latest episode of the Industrial Automation Insider podcast, two engineers from Tri-Phase Automation explain what you should think about when spec'ing out your vision system to avoid headaches later on and make sure you get the results (and return on investment) you want.
Do you know exactly when, where and why losses are happening within your operations? If not, it will be hard to figure out how to prevent them, fix inventory distortion, and eliminate friction within your operations. So, let’s talk about loss detection.
There is so much that can be done on planes, in airports, and on the tarmac to make the air travel experience so much smoother. Fortunately, it sounds like some very smart tech upgrades are going to be made by airlines to improve the passenger experience amidst competing priorities and regulatory pressures. Find out what will likely be changing soon (and what changes are already starting to land).
Find out how one Fortune 1000 manufacturing company is going to save $1.1 million annually…just by digitizing forms and going paperless with a zero-code, SAP-friendly software solution.
While AI is certainly proving helpful with quality control during the electric battery production and electric vehicle assembly processes, AI isn’t the only thing that improves inspection results. Find out what can help automotive suppliers, manufacturers, and integrators even more.
They say there’s two sides to every story. Well, now there’s at least two viable machine vision solutions to every problem when you invite both seasoned and early career vision system engineers to the table, and that’s making it easier to see the right path forward. These two engineers (from different generations) explain why.
AI must fail over and over to succeed. But there are several mistakes you want to avoid making when teaching an AI-driven application how to look for anomalies on a product, component, or label using deep learning.
If you’re looking for a way to complete airplane cabin inspections and turn around flights faster without compromising passenger or crew safety, check out this new RFID-supported process that’s proving helpful for airlines like AirAsia.
No matter how much technology enables to run your business more efficiently, people are still the ones responsible for your success (and developing the technology that allows you to work in new, better ways so that success becomes possible). So, it's time to give credit where credit is due - and make sure we're thinking about technology in the context of human impact.
It may be tempting to push customers toward staffed checkout lanes instead of self-checkout (SCO) to reduce losses. However, doing so could push your most loyal customers away. So, let’s talk about ways to stop SCO-related shrink.
