Anomaly Detection

The EVORIS Anomaly Detection app leads to higher plant availability.

Anomaly Detection is a browser-based app supported by artificial intelligence that allows you to detect deviations from the normal state of a production. In case of deviations, you can react quickly, prevent errors before they occur and increase your plant availability.

Your benefits with Anomaly Detection

Fewer or shorter production downtimes

Fast and accurate error identification

Better plannability of preventive maintenance measures

Automatic definition of limit values and calculation of anomalies

Monitoring of desired production parameters and machines or components

Early detection of production deviations

Proactive and fast error correction

Easier shift handovers due to more transparency

Avoidance of repeated errors through visibility of regularly occurring anomalies

Company-wide access to the EVORIS platform and data at any time - even mobile

Anomaly Detection Impressions

Explore the Anomaly Detection app features

AI-based anomaly detection

Anomaly detection takes advantage of artificial intelligence and machine learning. Developed together with the Fraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSB, our technology automatically recognizes target values for relevant production parameters after a short learning phase. Anomaly detection measures and calculates deviations from normal production.

Live data on anomalies

Production-relevant parameters such as pressures, temperatures, glue quantity, production speed and moisture are constantly monitored by the anomaly detection system, and deviations are calculated. Deviations from the normal state of production become directly visible. As a result, plant operators can quickly detect a parameter violation at an early stage. With this information, they can check the anomaly quickly and accurately and initiate error corrections to prevent production downtimes or shorten them.

Performance monitoring of components and machines

In addition to quality-relevant production parameters, your machines and components can also be included in anomaly detection in order to monitor their performance.

Historical anomaly data

In addition to live data, you can also view historical anomalies. Production history becomes more transparent and can be analyzed retrospectively. This facilitates, for example, shift handovers and the detection of reoccurring errors.

Modern user interface

Via the app’s intuitive user interface, you’ll quickly see when limit values are exceeded or undershot. To identify the originators of anomalies, you can view detailed information on each anomaly. An overview displays the most striking deviations to help you prioritize potential issues.

Live view of anomalies

The live view of the anomaly curve shows current deviations from the normal state of production. Deviations can be quickly detected, and early countermeasures for higher plant availability are possible.

Anomaly history

The anomaly history shows historical anomalies and anomaly originators, enabling analysis.

How Anomaly Detection helps you achieve smart production