Watch a 12-minute conference talk exploring adaptable and robust anomaly detection methods for industrial applications, presented by Weier WAN, Head of Software-Hardware Co-design at Aizip. Learn about the fundamentals of anomaly detection, key challenges in industrial settings, and examine conventional deep neural network approaches. Discover innovative solutions including Adaptive Anomaly Detection, R Anomaly Detection, and RedV Anomaly Detection methodologies. Explore real-world implementation results and gain insights into future developments in industrial anomaly detection systems.

Syllabus

Introduction
What is Anomaly Detection
Challenges
Conventional DNN Approach
Adaptive Anomaly Detection
R Anomaly Detection
RedV Anomaly Detection
Results
Looking Forward