Enhancing Anomaly Detection with Adaptive Noise: A Pseudo Anomaly Approach

Practical AI Solution: Improving Anomaly Detection with Adaptive Noise Value and Practical Solutions Anomaly detection is essential for surveillance, medical analysis, and network security. Our approach enhances anomaly detection by training an autoencoder to accurately reconstruct normal input while poorly reconstructing anomalies. We achieve this by incorporating adaptive noise into the normal data, creating pseudo anomalies that the autoencoder reconstructs poorly. This method offers efficient inference during testing without additional computational cost. Evaluation and Applicability We have tested our method across various datasets, including surveillance videos, CIFAR-10 images, and the KDDCUP99 network intrusion dataset. Our approach has shown its effectiveness and applicability in video, image, and network intrusion domains when compared to other methods. AI Integration and Business Impact To stay competitive and harness the power of AI, consider integrating our practical AI solution for anomaly detection. AI can automate customer engagement and manage interactions across all customer journey stages, transforming the way you work. Reach out to us for AI KPI management advice and continuous insights into leveraging AI. AI Sales Bot Explore the AI Sales Bot from itinai.com/aisalesbot, designed to automate customer engagement 24/7 and manage interactions across all customer journey stages. Discover how AI can redefine your sales processes and customer engagement. List of Useful Links: AI Lab in Telegram @itinai – free consultation Twitter – @itinaicom