IIoT is the future of workplace safety (Authentise Weekly News-In-Review – #118)

The increasingly connected systems in place at the factory floors are enabling safer workplaces. The most straightforward approach here is to don workers with sensors that can detect hazardous environment parameters like air quality and temperature or even automatically alert someone if they are injured. In most cases, however, it’s about bypassing the need for human workers to do dangerous tasks. Technologies like predictive analytics can do tremendous work in alerting supervisors before parts get broken and become hazards. Similar smart systems need to be put in place when cooperative robotics start working alongside human counterparts. Using machine learning and computer vision, safety can be guaranteed as robots can have comprehensive knowledge of their surroundings and predict human actions, as well as maximizing the robot’s effectiveness.

Using IIoT-Connected Devices for Worker Health & Safety

IBM announced collaborations with Garmin, Guardhat, Mitsufuji and SmartCone to help organizations monitor their workers’ safety with Watson IoT. Source: IBM

Workplace safety is important in any field. For example, in my line of work, I’m always vigilant of dangers from hot coffee, eye strain, or paper cuts. But in industrial environments such as the manufacturing, petrochemical, or mining industries, the potential dangers are more severe. That’s why researchers and engineers are exploring new ways to use industry 4.0 technology to protect the health and safety of industrial workers.

Read the full article here.

How IoT and Computer Vision Can Enhance Industrial Safety

Welder's safety is protected by IoT

Using IoT sensors can feed the algorithm with real-time data and allow it to make decisions on the spot. For example, if sensors detect gas leakage, increased temperatures or unwanted humidity, work can stop at once or at the very least inform the floor manager. These type of decisions are deterministic and don’t provide much insight into the future. Another way of creating a safer environment is to use the power of computers and machine learning. By creating different scenarios, the algorithm can sense the difference between what is safe and what is not.

Read the rest here.

Collaborative Robots Learn to Collaborate

An automated mobile robot (AMR) uses 3d vision and machine learning to navigate in a more natural manner past a person moving a cart in a warehouse aisle.

To be truly collaborative, robots must be capable of more than working safely alongside human beings. Russell Toris, director of robotics at Fetch Robotics, says robots also need to act (and “think”) more like people. This is particularly true of autonomous mobile robots (AMRs) like those manufactured by Fetch. Typically employed for material transport and data collection (such as counting inventory), these wheeled systems use vision sensors and navigation software to dynamically adapt to new environments and situations. Increasingly common in warehouses and distribution centers, this technology is likely to spread to other applications and industries, including our own.

Read the full article here.

 

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What’s our automated future going to look like? (Authentise Weekly News-In-Review – #113)

Automation is being touted as both a miracle of efficiencies and savings and a scourge on manual workers and users’ safety. There isn’t one definitive way to look at the trend other than to accept the fact that it’s coming. Should we be afraid of it? No. As we mentioned, automation is already bringing incredible tools to factories and production pipelines across the world. Coupling capable robots with intelligent sensors’ networks is a sure recipe for a future of abundance (quoting Peter Diamandis). Think your one-day delivery (or 2h if in NY and other few cities) is a stunning achievement? It’s hard to envision a world where robots of all shapes and sizes automate the shipping process to a degree where we might equate the accessibility of products to the streaming of Netflix movies, but that’s already in the works. It’s coming, however we’re not quite there yet. Automated cars might look sophisticated in Google’s or Waymio’s marketing runs, but it’s a very complicated system of variables. 3D printing is helping make these self-driving cabs sturdier than ever, but a release is still off in the distance. Another common fear is that technologies like these will take away jobs from a good portion of the population. However, we must take into account that technology is inventing entirely new jobs along the way of making old ones obsolete. Automation is about making your life easier and more pleasurable. We recently announced the release of our mobile app designed towards digitizing the tracking of post-processing steps in AM. With the time saved from manually reporting on production stages, operators can act on more engaging activities.

Free Shipping

Amazon has imagined a system that sends a robot out from each house to meet a delivery truck. Industry predictions suggest that robots could eventually be able to grasp and move objects within a household — one potential example, a towel-folding robot, has already been exhibited as a prototype. By the time that delivery robots begin arriving at your home, your residence might already be operating as an automated warehouse in its own right.

Read the full story here.

Local Motors Wants To Prove 3D-Printed Self-Driving Shuttles Are Self

Screen Shot 2019-03-17 at 9.25.17 PM

Local Motors has been working on 3D-printed vehicles for around five years. We were first introduced to the company when it showed off a working 3D-printed car at the 2015 Detroit Auto Show. Since then, the company has tested over 2,000 combinations of printing material and fortifying additives, and it can print an entire Olli in roughly 10 hours (down from 44 hours in 2014). Now, Rogers says, the tech has matured to the point that it’s time for the company to start showing off the progress it’s made.

Read the rest here.

Former Google Exec: AI Will Replace 40% Of Jobs In 15 Years

AI, whether it’s an application of machine learning or some new technology altogether, is poised to shatter the global economy.

Kai-Fu Lee, a venture capitalist who used to develop artificial intelligence for both Microsoft and Google, told CBS’ 60 Minutes that AI will displace 40% of the world’s workers within 15 years.

“I believe [AI] is going to change the world more than anything in the history of mankind,” Lee told CBS. “More than electricity.”

Read the full article here.

 

 

We are going to exhibit at AMUG! Come visit us at booth #37 from March 31st – April 4th.

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Automation and the human dilemma (Authentise Weekly News-In-Review – Week 99)

Automation is a buzzword that’s more often than not associated with negative press. After all, it is eroding the job market for an increasing number of manual jobs. How is the human going to cope with a rising automated workplace? The picture doesn’t seem that straighforward though. The question in itself is in doubt when studies show that the shift is adding new jobs for the skilled workforce, alongside a rise in wages. Furthermore, automation is tackling those jobs that are repetitive, menial and reward-less. At the same time, we seem to not fully understand the scope of change that is about to hit us in the very near future and, in turn, are not prepared for it. Our society will need to adapt to new ways of getting things done. Data is king and AI systems will be unmatched. We humans must find a way to collaborate with this societal shift, bringing the best of what humans can do in a world dominated by robots.

Industrial robots increase wages for employees

Industrial robots increase wages for employees

In addition to increasing productivity, the introduction of industrial robots has increased wages for the employees. At the same time, industrial robots have also changed the labor market by increasing the number of job opportunities for highly skilled employees, while opportunities for low-skilled employees are declining.

Read more at Phys.org

Are We Mature Enough To Deal With The Dilemmas Of Automation?

We have no choice but to address the challenge of how our societies are going to evolve, how we are going to reinvent ourselves when we free ourselves from so many boring or demeaning tasks and which models are appropriate for a society in which the eight-hour (or longer) working day is as outdated as the manual labor our forefathers endured. The dilemmas of automation require a new way of thinking: the technology exists, the question is whether we have the vision to adopt it. In short, the problem isn’t technology per se, it’s about adapting our society to make the best use of it. And I’m not sure we have the maturity yet to do so.

Read the full article here.

Learn to love robots, automation and artificial intelligence

Innovation expert Charles Leadbeater says people should not be frightened by AI’s rise. For him, the danger of AI is that we’ll become more like second-rate robots. He believes education needs to produce first-rate humans, able to work with robots.

 

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Data/Advanced technologies lay groundwork for new economic models (Authentise Weekly News-In-Review – Week 87)

The current trade wars between the US, Europe and China are proving to be a thorn in everyone’s side, and people are looking for solutions. This may not come from a change in political climates (sadly), however the technological trends we have been observing in the past few decades point towards an exciting possible outcome. The economy as we have it structured today may not hold up to new manufacturing technologies that enable decentralized, as-needed production. 3D printing is making it redundant to have warehouse stock and to deal with the infinitely complex hassle of global logistics. Plus, every step of the pipeline is being digitized, made flexible and agile, empowered by data and capable of so much more than if constrained in its traditional box. As Apple has proven, data is the new oil and is the foundation of present and future enterprises. Are current laws up to these elevated standards? Do we need to revise our concept of economy in light of these affirmed and evolving technologies?

 

How 3D printing could help save us from trade wars

Capture

While tariffs and trade wars from the White House may threaten our jobs, peace and prosperity, technology innovations from American business could save us. Just as new technology in energy production and extraction have reduced our dependence on the Middle East, a technology innovation of a very different sort — 3D printing — is already poised to reduce our dependence on Asian factories.

Read the rest here.

 

3D Printing Industry Experts Comment On Impact Of Trade Wars Tariffs On Additive Manufacturing


Today marks the start of US trade tariffs on goods valued at $34 billion worth of imports from China. A list published by the Office of the United States Trade Representative (USTR) details the 818 tariff lines that will be subject to an additional 25% in duty. China has responded with additional import taxes on US goods valued at a similar amount. 3D Printing Industry contacted resellers, manufacturers and other 3D printing insiders around the world for their thoughts about how the “the biggest trade war in economic history” will impact additive manufacturing.

Read the interviews on 3D Printing Industry.

 

Apple Is The New Exxon And Data Is The New Oil: The Path To The First $10 Trillion Company

There is no longer any doubt that the 21st century will be propelled by companies producing and using data, just as the 20th century was propelled by companies producing and using oil. The analogies are numerous and accurate and all emanate from the core reality: the century-long era of petroleum and the rise of automobiles and aviation is now followed one of data and the rise of computers and robots.

Read the rest on Forbes.

 

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AUTHENTISE will be exhibiting, through a partnership with America Makes, the power of smart digital tools within the AM production thread. Showcasing our 3Diax modular platform and MES for AM, you’ll be able to witness how our machine learning algorithms and automation tools can boost operational performance through the roof for each role within the pipeline.

WHERE: additive ETC, located on Level 3 of the West Building at McCormick Center.