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As leaders in the manufacturing industry, we constantly navigate a landscape of disruption. From volatile supply chains and fluctuating market demands to persistent labor shortages, the pressure to perform is immense. Many of us have turned to digital transformation as the answer, and rightly so.
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.
AI-driven frontline operations will require companies to develop new capabilities that augment their current approach. Previously we explored how Asset Visibility delivers a complete, real-time view of the entire frontline environment, critical to provide AI models with knowledge of the current situation.
Food and beverage facility leaders face a difficult reality. A significant labor crisis continues to challenge the manufacturing sector, creating immense pressure to hit production forecasts and reduce downtime.
Manufacturing and logistics leaders face a complex, shifting landscape. The relentless pace of e-commerce, persistent labor shortages, and rising consumer expectations demand a new approach to operational strategy.
Speed gets all the headlines in fulfillment centers. Warehouses and distribution hubs across the globe are facing immense pressure from tighter service-level agreements built on continually rising consumer expectations.
The energy at our recent Channel Partner Summit in Orlando felt palpable. Everywhere you turned, conversations buzzed with the potential of AI.
In today’s demanding business environment, challenges like labor shortages and supply chain disruptions test the resilience of every organization as the pressure to deliver better results with fewer resources is constant.
Across the transportation and logistics industry, AI continues its transformation from a future concept to a daily reality. In the back office, leaders successfully leverage AI and intelligent software solutions to refine demand forecasting and optimise asset visibility.
At Zebra Technologies, we believe in the power of collaboration to create a more inclusive world. We have made a commitment to improving accessibility, and we are proud to work with third parties to ensure our hardware and our partner’s software applications
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.
In the ever-evolving landscape of intelligent automation and manufacturing, smart cameras have emerged as pivotal tools transforming machine vision technology. With advancements in edge processing and seamless integration capabilities, these devices are redefining the way industries approach efficiency and precision. As manufacturers, logistics operators, and warehouse professionals seek to optimize operations, smart cameras offer a promising solution for intelligent automation. By delivering real-time insights, and automated decision-making capabilities, robust, scalable, and adaptable smart cameras are ideal for a diverse range of industrial applications.
In part one of the series, I shared my experience attending Zebra’s inaugural RFID Forum in Prague. As we continue our journey through our first-ever RFID Forum, it’s evident that RFID is not just a buzzword but a pivotal technology driving tangible change across industries.
That depends on how you want to use your system and who you want to be able to operate and maintain it.
If you’ve ever managed a team on the frontline, whether in a warehouse, a hospital, or a retail store, you know how challenging the work can be.
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.
A strong (wireless) connection is often missing in factories, plants, and warehouses. But there’s an easy solution to that, as two wireless technology experts pointed out in my recent discussion with them. Here are their recommendations.
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.
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.
Many frontline jobs have become harder to do over the last decade. That’s why we have further accelerated our innovative approach at Zebra since making our largest acquisition 10 years ago. We want to create new ways of working to help make frontline jobs more efficient, impactful, and fulfilling. Learn more about how we're driving advancements that help frontline workers.
You need to know everything there is to know about deep learning OCR, a new AI-based text reading tool, mainly because it’ll tell you what you need to know about so many things – such as your products’ quality and status.
The features and functionality of the cameras, sensors, and scanners used across your vision system won’t matter if you don’t have the right software underneath. Software is the glue. So, I'm curious: Did you closely inspect the software needed to run each of those pieces of hardware before buying them? Did you consider how easy (or difficult) it would be to get all the software platforms to work together as part of "one system"? Or have you found the software complicating things since putting those new hardware components in place? No matter your answer, you need to read this post.
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.
