DEEP-LEARNING-BASED REAL-TIME PROCESS MONITORING SYSTEM, AND METHOD THEREFOR

The present invention relates to a deep-learning-based real-time process monitoring system and method, which register and learn an object to be recognized in a process, detect features of the object from a real-time video through classification of the object into a moving object, a status object, an...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: JIN, Hong Suk, PARK, Jeong Hwan, JIN, Seong Il
Format: Patent
Sprache:eng ; fre ; ger
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Beschreibung
Zusammenfassung:The present invention relates to a deep-learning-based real-time process monitoring system and method, which register and learn an object to be recognized in a process, detect features of the object from a real-time video through classification of the object into a moving object, a status object, and a vector object based on a trained model, and monitor a progress state of the process through classification of an actually progressing process according to the features, thereby enabling easy detection of an abnormality of the process or the object while achieving improvement in performance of process monitoring and abnormality detection by processing the real-time video with small resources.