With the increasing degree of automation in the production lines, the demand for an automated process in quality control is also increased. Another important thing is that data that is optimized with predictive maintenance can pay off if the machines are able to perform those functions.
If the data are collected more and processes then the machine can contribute intelligently to keep the production lines running longer, the downtime can be reduced by increasing productivity.
AI controller from Omron’s Sysman is an example where an AI-based predictive maintenance library can collect, analyze and use the data on an edge device where the extension of life, detection of anomalies, and prevention of failures are possible. Internet connection is not required as the users are no longer need to rely on cloud computing and the AI potential can be leveraged for business advantage.