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These are the questions to ask every time you’re assessing a new machine vision project for a production or distribution environment, if you want to get it right the first time and save money in the process.
If you used machine vision years ago, you may be hesitant to go there again. But modern AI-based systems are giving many manufacturers and warehouse operators significant competitive advantages. Here’s how.
Google and Zebra are pulling out all the stops around mobility (and AI and AR) so you and your employees can source the info needed to more confidently do your jobs and secure more wins. Hear what’s unfolding.
If you’re wondering, “How is deep learning already at work in the real world (i.e., my world)?” or “How could deep learning help me work in new, more efficient ways?” then you’ve come to the right place. This blog post serves as a primer to deep learning, explaining what it really is, how it works, and how you can make it work for your business for inspections, quality control and more.
A manufacturing veteran agrees, adding that you need to start thinking about IT/OT convergence differently as well. You must create more synergies among people and machines, and that requires a new strategy.
Marcin Kowalski from Avicon Vision Systems in Poland pulls the veil back on some very cool ways machine vision technology is being used to track ball movements, confirm the quality of a chicken’s life, and more.
Chris Sullivan, Global Healthcare Lead for Zebra, explains how everything from robots and AI to RFID and machine vision is being used from the point of production to the point of care to improve patient experiences.
Your in-house team may struggle to manage a software implementation project because they don't work for the software provider. They only know how the application should work, not how to make it work as it should. Find out what it really takes to define MVP, keep the project on schedule, and ensure software acceptance of end users.
AI does not start and end with ChatGPT (or whatever other generative AI is creating the most buzz). So, let’s talk about what AI means for your business, including your workers.
Between the expanding capabilities of machine vision systems, maturity of deep learning OCR, and modularity of industrial automation systems, you have an opportunity to de-risk your operations and meet SLAs with ease.
