Use CasesExhaustive storage of sensor data from manufacturing equipments
Facilitates Machine Learning and Fault Prediction by Big Data Analysis
CVC Wave
CVC Accl
For Automotive & Foundry
Reduces the Data Size to 1/20 on Average, Enabling 20 Times Longer Storage Period
By comressing whole sensor data from manufacturing equipments by CVC Wave, and transmitting them to a line management computer, it is possible to reduce the data size to 1/20, enabling 20 times longer storage period.
This helps improve product quality as well as facilitate fault prediction by machine learning and big data analysis.
This helps improve product quality as well as facilitate fault prediction by machine learning and big data analysis.
* Figures may vary depending on data.