Micron technology, inc. (20240201009). ABNORMAL SOUND DETECTION IN A MECHANIZED ENVIRONMENT simplified abstract
Contents
ABNORMAL SOUND DETECTION IN A MECHANIZED ENVIRONMENT
Organization Name
Inventor(s)
ABNORMAL SOUND DETECTION IN A MECHANIZED ENVIRONMENT - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240201009 titled 'ABNORMAL SOUND DETECTION IN A MECHANIZED ENVIRONMENT
Simplified Explanation: The patent application describes methods, systems, and devices for detecting abnormal sounds in a mechanized environment using audio recordings and sound patterns.
- **Key Features and Innovation:**
- Obtaining an audio recording of a mechanized environment. - Categorizing first sounds extracted from the audio recording into a set of categorical sounds. - Generating a library of first sound patterns based on the categorical sounds and second sounds extracted from the audio recording. - Comparing second sound patterns detected in audio signals with the first sound patterns to identify abnormal sound patterns. - Generating an alarm based on detecting the abnormal sound patterns a threshold quantity of times.
- **Potential Applications:**
- Industrial settings for detecting equipment malfunctions. - Security systems for identifying unusual sounds in monitored areas. - Environmental monitoring to detect anomalies in natural sounds.
- **Problems Solved:**
- Efficient detection of abnormal sounds in a mechanized environment. - Early identification of potential issues or threats based on sound patterns. - Enhancing safety and security measures in various applications.
- **Benefits:**
- Improved maintenance practices in industrial settings. - Enhanced security measures in surveillance systems. - Early warning system for environmental changes.
- **Commercial Applications:**
- Title: "Advanced Abnormal Sound Detection System for Industrial and Security Applications" - This technology can be utilized in manufacturing plants, warehouses, and security systems to enhance operational efficiency and safety measures.
- **Prior Art:**
- Prior research in sound pattern recognition systems for various applications. - Studies on abnormal sound detection in different environments.
- **Frequently Updated Research:**
- Ongoing research on machine learning algorithms for sound pattern analysis. - Advancements in sensor technology for improved audio signal processing.
Questions about Abnormal Sound Detection: 1. How does this technology differentiate between normal and abnormal sounds in a mechanized environment? 2. What are the potential challenges in implementing this system in real-world applications?
2. Another relevant generic question, with a detailed answer.
Original Abstract Submitted
methods, systems, and devices for abnormal sound detection are described. an audio recording of a mechanized environment may be obtained. first sounds extracted from the audio recording may be categorized into a set of categorical sounds. a library of first sound patterns may be generated using the categorical sound and based on second sounds extracted from the audio recording. the first sound patterns may include sequences of the categorical sounds. audio data including audio signals capture by sensors in the mechanized environment may be received, and second sound patterns detected in the audio signals may be compared with the first sound patterns. based on comparing the second sound patterns with the first sounds patterns, a sound pattern that is not in the library of the first sound patterns may be identified. an alarm may be generated based on detecting the sound pattern a threshold quantity of times.
