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AI commands headlines and captures imaginations, promising a future of unparalleled efficiency. Yet for executives leading operations in retail, manufacturing, and transportation, the practical application of AI often feels distant from the hype.
Before a pair of shoes reaches your doorstep, it may pass through up to 30 touchpoints where Zebra products, solutions, or workers using Zebra devices play a critical role in its journey.
That depends on how you want to use your system and who you want to be able to operate and maintain it.
Did you know there’s a way to configure your SAP mobile apps so they – and you – can keep working when offline? That's probably good news if you’re losing access to your SAP data and workflows every time your mobile device loses its connection to a Wi-Fi or 4G/5G network connection, you’re going to want to hear this. Read this blog post to learn more.
Responsible AI development, training, testing, and use require ongoing engagement and foundational practices to ensure long-term success and ethical implementation. Here is what you need to do to get started, whether you're an AI model developer, tester, or user.
The food wasted annually – the ~1.3 billion tons of food that ends up in the landfill – contains enough calories to feed approximately three billion people for a year! So, why is even a single person experiencing food insecurity or hunger right now? There is clearly enough food being produced to feed everyone on the planet today and then some. In this blog post, Leo Lowy takes a closer look at the root causes of food waste and loss as well as the technology tools that could be applied right now to stop food waste in its tracks at a global level. Read his recommendations.
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.
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.
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.
Were exactly should RFID, machine vision and other automation technologies be used within the reverse logistics chain? Alex Whiting, founder of MiTEQ, reveals what he’s found to work best.
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.
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.
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.
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.
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.
