Like What You Heard?
I will be checking in with the people engineering modern industrial automation systems, as well as the teams applying them in real-world settings at least once a month to learn more about how industrial automation is being used to support dynamic supply chain operations as well as applications in other sectors, such as healthcare. We’ll debate the opportunities, analyze applications, and disclose the specific research and design (R&D), testing, implementation and optimization efforts that Zebra is engaged in with partners and customers. We’ll also hear from the engineers, project managers and IT teams involved in recent (and ongoing) industrial automation projects about the positive outcomes and lessons learned.
In fact, next month I have a very special guest joining me, but you’re going to have to tune in to find out who it is. The easiest way to stay connected is to subscribe to the Your Edge blog. All podcast episodes will air here and on the Zebra Your Edge Podcast channel on Podbean, Apple Podcasts, Google Podcasts, Spotify and other major platforms.
Did You Know?
It has only been one year since we introduced Zebra’s modern machine vision, fixed industrial scanning and Aurora™ software platforms to the world. Yet, it feels like years when you look at how much these technologies have matured since then.
On the surface, it may seem like our portfolio is comprised of seven smart cameras. But digging deeper, it becomes apparent these are just the foundational components – the vehicles, if you will – of a very powerful data delivery platform that is positively transforming production, distribution, and logistics operations.
Around the world, workers throughout the supply chain are now being told what is happening with goods and processes every second of every day, and they’re getting a better understanding why it’s happening – and it’s all thanks to the increased use of industrial automation solutions such as machine vision and fixed industrial scanning systems. These technologies are automatically analyzing situations based on what they’ve learned via artificial intelligence (AI) and machine learning algorithms, as well as human-led training. As a result, workers are being empowered to make the right decision about what to do when issues arise or how to adapt processes to maintain smooth workflows. In some cases, they aren’t even having to make those decisions. The technology’s intelligent analysis of the situation in the context of the broader operation is automating decision-making. So, workers just have to follow through on a prescribed action.
It’s quite remarkable. You should check it out.