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Real-time Alarm Management for the Automotive Industry 'i-Sense'

Real-time monitoring of measurement data and management of quality alarm information.

i-Sense enables real-time monitoring of measurement data. It can import files from sensors and measuring devices in formats such as CSV, EXCEL, and JSON in real time, updating graphs and performing alarm assessments. Alarms indicate not only out-of-tolerance values for individual measurements and warnings but also alarms related to the control limits of control charts. 【Features】 ■ Real-time monitoring of measurement data ■ Quality alarm management function ■ Event input function ■ Complete basic quality management charts such as line graphs, histograms, and control charts *For more details, please refer to the related links or feel free to contact us.

Related Link - https://processartz.com/products-j/i-sense_en/

basic information

【Other Features】 - In addition to the automatic data registration mode, there is a data confirmation mode that allows for the exclusion of unnecessary or erroneous measurement data before registering the measurement data. - You can leave notes on individual data points displayed as balloons on the graph, allowing you to review or aggregate reasons for issues or deviations later. - The filtering function enables sorting and rearranging of data for display. *For more details, please refer to the related links or feel free to contact us.

Price range

P3

Delivery Time

OTHER

Model number/Brand name

iNDEQS i-Sense

Applications/Examples of results

For more details, please refer to the related links or feel free to contact us.

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Distributors

We specialize in the collection, analysis, and utilization of quality and process data. Our goal is not merely to provide mathematical interpretations of data, but to help you turn data into actionable insights. With deep expertise in inspection equipment, machine tools, and industrial machinery, Process Artz supports you in building structured process data systems that enhance both product quality and manufacturing efficiency.