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The idea of a fully autonomous warehouse - a "dark facility" running on its own - is an inspiring vision for the logistics industry. However, the path to achieving it is filled with immense practical challenges.
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.
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.
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.
From multiple substrate applications to automated compliance checks, the team at Cobalt Systems has come up with some interesting techniques to affix and validate labels on almost anything using common technology such as industrial printers and industrial scanners. Hear what they've done (and you can do) to the benefit of manufacturing, warehousing, distribution, and fulfillment operations.
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.
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.
These veteran technology industry experts say you probably need barcode, RFID and vision systems to achieve your business objectives. Hear why.
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.
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.
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.
