CogniScan: cognitive AI-based unsupervised anomaly detection AI framework for X-ray luggage screening: integrating statistical patterns and contextual relationships

Key Points

• Anomaly detection improves security by identifying unusual items in X-ray images, enhancing safety measures.
• Statistical patterns were successfully integrated with contextual relationships to optimize detection accuracy.
• Analysis of various X-ray luggage images demonstrates the robust performance of the cognitive AI framework.
• The findings support the potential for broader application, but further validation in real-world settings is needed.