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
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.
Each January, the tech world converges on Las Vegas for the Consumer Electronics Show (CES), offering a preview of the future. We see smarter homes, next-generation gadgets, and brilliant displays.
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.
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.
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.
The way we work is changing, and it’s happening fast. Across industries like manufacturing, retail, and transportation and logistics (T&L), businesses are embracing smarter, faster, and more connected ways of working. Why? Because the world demands it. Customers expect flawless service, employees want meaningful roles, and companies need to stay resilient in the face of constant change. But how do we get there? The answer lies in intelligent operations.
In the rapidly evolving landscape of industrial automation, staying ahead of the curve is paramount. Enter 3D imaging technology—a game-changer that is transforming manufacturing, logistics, and industrial operations by offering unprecedented precision and efficiency. As industries strive to enhance their competitiveness, understanding the capabilities and applications of 3D imaging is crucial.
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.
Last month, Zebra and Clearview, a Zebra industrial automation distributor, hosted a launch event to officially open our new Industrial Automation Center of Excellence. The two-day launch event underscored our commitment to collaboration and innovation in fixed industrial scanning and machine vision.
Today, I want to share with you the story behind this initiative. The center is more than just a facility; it represents our vision for the future of industrial operations—a future where technology serves people and empowers organizations to thrive.
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.
Zebra CEO Bill Burns highlights some notable accomplishments of Zebra employees, partners, and customers in his latest blog post about the impact of culture on a company.
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.
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.