Why “Edge Computing” is edging closer and closer (Authentise Weekly News-In-Review – #121)

There are various reasons to be excited about edge computing. It proposes a localized way to deal with data analysis, making individual nodes independent of a central hub. This offers greater levels of security, isolating data to where it needs to be processed, as well as quicker responsiveness, obtaining actionable insights without the need for data transfer. There are still a few roadblocks to sort before the technology becomes fully applicable to all industrial settings. Mainly, these have to do with the convergence of IT and OT fields, enabling easier communication and action. The technology is there when it comes to processing and data transfer. Next generation PLCs address the needs of an edge network, reducing complexity along with installation time and costs. In parallel, 5G connection will enable extremely fast communication for large volumes of data (already proving itself valuable for autonomous cars). Decentralizing operations, in manufacturing and elsewhere, will lead to more secure and optimized workflows.

Is IIoT Edge Computing Ready Yet?

Image of a cloud and edge computers linked to it

Edge computing is evolving because of the high demand to move computer processing closer to sensors to decrease latency and improve efficiency. The IoT device at the edge must be responsible for computing, storing and network connectivity, all in a small form factor. Depending on the requirement, processed data from the sensors can be sent to the cloud either in parts or all at once.

Read the full article here.

The IIoT Challenge

https://www.automationworld.com/Benson%20Hougland%2C%20Opto%2022

[…] getting that data from the edge of the network where it’s produced to the databases and people who need it can be a challenge. Communication for control as well as monitoring and data acquisition can be even tougher. For the IIoT applications we’re doing now, we need a new approach—a new product that does much more than a PLC or PAC, a product that shrinks the middleware and improves security. That product has recently appeared. It’s called EPIC—Edge Programmable Industrial Controller. Because an EPIC replaces middleware and reduces the steps required to get data, it reduces complexity, lessens security risks, and decreases the time and expense of installation and maintenance.

Read the full article at Automation World.

5G’s Important Role in Autonomous Car Technology

5G in the auto industry

The fifth-generation wireless technology is expected to connect almost everything around us with an ultra-fast, highly reliable, and fully responsive network. 5G will allow us to leverage the full potential of advanced technologies such as AI, VR, and the Internet of Things (IoT). Self-driving cars use hundreds of sensors to make vehicles faster and smarter. These sensors generate unprecedented amounts of data, much more than any other IoT adoption would. Handling, processing, and analyzing this amount of data requires a much faster network than the existing 4G technology. Autonomous cars, systems require incredible data processing capabilities and speeds needed to mimic the timing of human reflexes.

Read the rest here.

 

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Automation: adapt or disrupt? (Authentise Weekly News-In-Review – Week 49)

Automation technologies are starting to take hold in many environments of our daily lives. It’s not just the factory floor, the whole world is getting permeated by tech that makes short work of menial tasks. But how is this changing the way we think about these spaces? The factories of the future are often envisioned as highly technical spaces, with every nook and cranny tailored to the task at hand, aimed at making it easiest for the robots in place to do their jobs. However, most advanced automation technologies at our disposal are capable of navigating complex environments, react according to outside stimuli and thus safely traverse almost any workspace they find themselves in. Cobots (collaborative robots), autonomous vehicles or even Amazon warehouse handling and dispatch robots are perfect examples of this. The interesting dichotomy here is in how we can optimally plan spaces, public, private or industrial, to drive performance and flexibility. Does flexibility go in the way of peak performance layout? Or are intelligent, adaptable systems going to be the best option to keep operations agile?

 

The checkout line’s death knell


We’re all only about ten years away from sauntering into stores, grabbing whatever it is we want, then quick-stepping out like we stole it. It’ll be possible because many shops will be ringed with machine vision-enabling cameras and sensors that keep tabs on what you take while inside and then charge it to the corresponding app as you leave.

Read the full article (and watch the great video!) here.

 

Walmart is ‘secretly’ testing self-driving floor scrubbers, signaling that more robots are coming

floors scr

Walmart has been quietly testing out autonomous floor scrubbers during the overnight shifts in five store locations near the company’s headquarters in Bentonville, Arkansas. A spokesperson for Walmart told FOX Business that the move, which was first reported by LinkedIn, is a “very small proof of concept pilot that we are running” and that the company still has a lot more to learn about how this technology “might work best in our different retail locations.”

Read the full article here.

 

Cities Should Not Design for Autonomous Vehicles

Autonomous cars are likely to be better off relying on each other than on fixed infrastructure. As autonomous vehicles capture a larger share of road traffic, they will be able to crowdsource extremely-detailed, real-time maps of urban roads. Each member of the network will benefit from the information provided by other vehicles and would likely provide its own data in exchange for access.

Read the full article here.

 

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