18756474. ANOMALY DETECTION APPARATUS, ANOMALY DETECTION METHOD, AND PROGRAM simplified abstract (NEC Corporation)
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ANOMALY DETECTION APPARATUS, ANOMALY DETECTION METHOD, AND PROGRAM
Organization Name
Inventor(s)
ANOMALY DETECTION APPARATUS, ANOMALY DETECTION METHOD, AND PROGRAM - A simplified explanation of the abstract
This abstract first appeared for US patent application 18756474 titled 'ANOMALY DETECTION APPARATUS, ANOMALY DETECTION METHOD, AND PROGRAM
Simplified Explanation: The patent application describes an apparatus for detecting anomalies by analyzing circumstantial feature values and signal patterns from different modal signals, such as acoustic signals.
- The apparatus extracts a circumstantial feature value for anomaly detection from a modal signal different from the acoustic signal used for learning.
- It calculates a signal pattern feature related to the acoustic signal of the anomaly detection target based on the learned signal pattern model and circumstantial feature values.
- An anomaly score is then calculated to detect anomalies in the acoustic signal of the target based on the signal pattern feature.
Key Features and Innovation:
- Utilizes circumstantial feature values and signal patterns from different modal signals for anomaly detection.
- Calculates signal pattern features based on learned models and circumstantial feature values.
- Provides an anomaly score for detecting anomalies in acoustic signals.
Potential Applications: This technology can be applied in various industries such as security, healthcare, and manufacturing for anomaly detection in acoustic signals.
Problems Solved: This technology addresses the need for efficient anomaly detection in acoustic signals using multiple modal signals for analysis.
Benefits:
- Improved accuracy in anomaly detection.
- Enhanced security and safety measures.
- Increased efficiency in monitoring and surveillance systems.
Commercial Applications: The technology can be used in security systems, healthcare monitoring devices, and industrial equipment for real-time anomaly detection, enhancing overall safety and security measures.
Prior Art: Researchers can explore prior patents related to anomaly detection in acoustic signals and the use of multiple modal signals for analysis to understand the existing technology landscape.
Frequently Updated Research: Stay updated on advancements in anomaly detection algorithms and signal processing techniques for improved anomaly detection accuracy.
Questions about Anomaly Detection Technology: 1. What are the potential limitations of using multiple modal signals for anomaly detection? 2. How does this technology compare to traditional anomaly detection methods in terms of accuracy and efficiency?
Original Abstract Submitted
An anomaly detection apparatus extracts a circumstantial feature value for anomaly detection corresponding to a circumstantial feature value for learning from other modal signal for anomaly detection different in modal from acoustic, calculates a signal pattern feature related to an acoustic signal of anomaly detection target based on the acoustic signal of anomaly detection target, the circumstantial feature value for anomaly detection and a signal pattern model learned based on an acoustic signal for learning and the circumstantial feature value for learning calculated from other modal signal for learning, and calculates an anomaly score for performing an anomaly detection of the acoustic signal of anomaly detection target based on the signal pattern feature.
