Discover how machine learning is used to enhance the large automation community — how it works and where it can add value, especially in upcoming new innovations in automation.
Edge Impulse, the best-in-class edge machine learning platform, and RealPars, the leader in cutting-edge industrial education, guide you through what this technology can do and how you can leverage it to maximize your productivity.
Register now for our free webinar on October 26th to learn more.
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 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.
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.
Keep updated on the latest insights, guidance, and opportunities for learning and implementing ML-based applications to manufacturing, allowing for increased efficiency and output. Follow our latest announcements
here and contact us with any specific questions.