Preventive maintenance through vibration analysis! In the future, the accumulation of large amounts of data will enable the prediction and classification of anomalies.
"Sicope edge" is a system that can estimate signs of equipment abnormalities from vibration/sound data. By measuring only a small amount of normal data, it can sensitively detect precursors of abnormalities when values deviate from the norm. In the future, as large amounts of data accumulate, it will be possible to predict and classify abnormalities. 【Features】 ■ Operation is possible with measurements of only normal data (small sample) ■ Accumulation of large data will enable determination of failure modes through machine learning in the future ■ Sharing of precursor information is possible by uploading to the cloud ■ "Easy, safe, and hassle-free" is achieved at a low cost *For more details, please download the PDF or feel free to contact us.
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We are a software manufacturer developing applications for industrial robots. To support manufacturing in the IoT era, we provide easy-to-implement, low-cost IoT systems across a wide range of fields, including robots and industrial machinery. Please feel free to contact us if you have any inquiries.
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