[Finally, next week on Friday, November 25] Explanation of AI use cases and methods using a time series anomaly detection application.

In the manufacturing field, where constant improvement in productivity and quality assurance is required, efforts utilizing AI are accelerating to quickly detect equipment malfunctions or failures and to prevent issues such as the occurrence of defective products.
Various sensors and devices can be installed on production equipment, allowing for the acquisition of time-series data from measurement values and control parameters. The anomaly detection solution Impulse's "Anomaly Detection App" uses such time-series data to detect unknown anomalies by leveraging AI technology, rather than relying on traditional threshold-based systems. The "Cause Analysis App" can analyze the factors leading to the occurrence of anomalies.
In this webinar, we will introduce case studies of time-series data analysis utilizing AI technology, and from those, we will pick up the following two cases to explain the creation and analysis methods of anomaly detection models using actual screens and data, along with demonstrations.
- Detection of signs of failure in plant equipment
- Analysis of defect factors in the injection molding process of automotive parts manufacturing


Date and time | Friday, Nov 25, 2022 01:00 PM ~ 01:40 PM |
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Entry fee | Free |
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