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Automatic generation software Product List

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CSV File Automatic Generation Software - KADEC Mailer

CSV file automatic generation software. Automatic sorting of attached files saved upon receipt.

KADEC Mailer is software that automatically or manually receives emails sent from the KADEC-U21 series network model manufactured by North One Co., Ltd., on a per-observation point basis. It saves the attached files as observation data while simultaneously generating daily and monthly CSV files automatically. 【Features】 ■ Multiple operation settings can be registered (one operation setting can support up to 20 observation points) ■ Multiple instances can be launched if the operation settings at startup are different; automatic email reception function (differential reception) ■ Automatic sorting function for saved attached files (observation data) upon receipt (by observation point) ■ Manual email reception function (can specify all observation points or individual observation points, can specify all emails or differential email reception) ■ Automatic generation of daily and monthly CSV files from saved attached files (observation data) upon email reception (data part can be replaced or newly created) ■ Automatic reception setting function (can specify time and time intervals) ■ Function to regenerate daily and monthly CSV files from received observation data ■ Can run resident in the task tray

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Industrial AutoML

Achieve detection of abnormal conditions! Data visualization is possible within the model builder.

"Industrial AutoML" is a product that supports the detection of abnormal conditions, alarm state detection, and predictive maintenance based on on-site data through automated machine learning capabilities. A machine learning model for identifying abnormal conditions is automatically generated from various data extracted from the application by model builder software in advance. During operation, the runtime software uses the generated machine learning model to automatically determine normal/abnormal conditions based on the data obtained from the application. 【Benefits】 ■ No expertise in machine learning required; only on-site know-how is necessary ■ Simply import data obtained from various sensors in CSV format into the model builder ■ Data visualization is possible within the model builder ■ Automatic generation and optimization of models through the model builder ■ The runtime software can be executed in either device or cloud environments *For more details, please refer to the PDF document or feel free to contact us.

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