Learn automated machine learning
with RealPars

RealPars, the leader in cutting-edge industrial education, and Edge Impulse, the best-in-class edge machine learning platform, have teamed up to provide insights into machine learning to the large automation community — how it works and where it can add value, especially in upcoming new innovations in automation.

SEPT 28 – 30
Mountain View, CA

The latest applications with industrial automation technology revolve around predictive maintenance and condition-
based monitoring.

Eliminate unplanned downtime

With sensors, manufacturers and companies are able to eliminate unplanned downtime by implementing AI-based device algorithms that ensure the health and safety for each machine in their fleet by detecting when and where equipment degradation is happening.

Predictive maintenance

Predictive maintenance includes functions like reducing downtime and breakdowns of machines by sensing abnormal vibrations, out-of-spec current draws, unusual torque in gears, and many other details that are often otherwise invisible and undetectable, causing inefficiencies or eventual machinery breakage.

Automated machine learning

Automation hardware i.e. PLCs are usually programmed in automation-specific coding languages; however, more and more manufacturers of automation equipment are coming up with new product lines which can run C++, leveraging that universal programming language for greatly increased flexibility. This is where everything starts for machine learning.

The creation and implementation of machine learning into industrial workflows is further supported by Edge Impulse’s simple-to-use platform, where everyone can develop and custom models.

Why does this matter?

Utilizing data at the origin

With these new tools and advancements, users no longer need the cloud to do data analytics; they can now utilize data at the origin, be it on the PLC or even possibly at the sensor level.

The edge — the end point/device

Data analytics can be performed on very constrained devices such as microcontrollers, which are often the backbone of a sensor or PLC.

Cutting-edge developments currently happening

Imagine 2022: The biggest edge machine learning event

Review 300+ fully documented Edge Impulse projects

Learn from our rich and wide-ranging pool of tutorials

Staying ahead

Alongside RealPars, we will continue to bring insights, guidance, and opportunities for learning and implementing machine learning-based applications to manufacturing, allowing for increased efficiency and output. Stay tuned and contact us with any specific questions.

Stay tuned