Google llc (20240338272). Anomaly Alerts Accreditation simplified abstract
Contents
Anomaly Alerts Accreditation
Organization Name
Inventor(s)
Harish Kumar Bheemarthi Anjaneyulu of London (GB)
Anomaly Alerts Accreditation - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240338272 titled 'Anomaly Alerts Accreditation
The technology described in the abstract focuses on generating alerts based on the direction and depth of a detected anomaly. The direction of the anomaly can indicate whether it is broadening or normalizing, while the depth provides insight into the magnitude of the anomaly compared to the expected value. Based on this information, a trend of the anomaly can be determined, with a normalizing trend suggesting no alert is necessary, and a broadening trend indicating the need for an alert to be generated.
- Alerts generated based on direction and depth of detected anomalies
- Direction indicates broadening or normalizing of anomaly
- Depth provides magnitude comparison to expected value
- Trend analysis determines if alert is necessary
- Normalizing trend suggests no alert needed
- Broadening trend indicates alert should be generated
Potential Applications: - Early warning systems for anomalies in various industries such as finance, healthcare, and cybersecurity - Predictive maintenance in manufacturing processes - Quality control in production lines
Problems Solved: - Provides proactive alerts for anomalies before they escalate - Helps in identifying trends in anomalies for better decision-making - Improves overall operational efficiency and reduces downtime
Benefits: - Enhances risk management strategies - Increases productivity by addressing anomalies promptly - Improves resource allocation based on trend analysis
Commercial Applications: Title: Anomaly Detection and Alert System This technology can be utilized in various commercial sectors such as finance, healthcare, and manufacturing to improve operational efficiency and risk management strategies. The early warning system provided by this innovation can help businesses stay ahead of potential issues and make informed decisions based on trend analysis.
Questions about Anomaly Detection and Alert System:
1. How does the direction and depth of the anomaly impact the generation of alerts? The direction and depth of the anomaly provide crucial information for determining whether an alert should be generated. A positive direction indicates normalizing, while a negative direction suggests broadening, influencing the decision-making process for alert generation.
2. What are the potential applications of this technology beyond the industries mentioned in the abstract? This technology can also be applied in fields such as environmental monitoring, transportation systems, and energy management to detect anomalies and improve overall system performance.
Original Abstract Submitted
the technology is generally directed to generating an alert based on a direction and depth of a detected anomaly. the direction of the anomaly may provide an indication as to whether the anomaly is broadening or normalizing, and the depth of the anomaly may provide an indication of the magnitude of the direction as compared to the detected anomaly. the direction may be positive, indicating that the anomaly is normalizing or moving towards an expected value, or negative, indicating that the anomaly is broadening or moving further from the expected value. based on the determined direction and depth, a trend of the anomaly may be determined. a normalizing trend may indicate that the anomaly is likely to normalize and, therefore, an alert is not necessary. a broadening trend may indicate that the anomaly is likely to broaden and, therefore, an alert should be generated.
