Acoustic Data Visualization System for Passive Monitoring
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Solution Overview
Problem
Existing systems for passive acoustic monitoring in marine and terrestrial ecosystems are inefficient in analyzing large bodies of acoustic data, limiting the ability to quickly and reliably identify signals of interest and requiring extensive time to process and visualize data, especially when dealing with long-term recordings.
Innovation Solution
A system that automatically detects and visualizes signals of interest using a 2D histogram to compress data, allowing users to select features and generate spectrograms for further analysis, enabling rapid identification and visualization of signals over time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional data analysis systems are used to visualize acoustic data, then spectrograms can be displayed, but the data takes up large portions of the screen and extensive time is required to review all data
Solution Approach 1:
The patent segments the acoustic data visualization into multiple hierarchical levels: overview plots that show compressed representations of large time periods, and detailed spectrograms that can be selectively expanded. This segmentation allows users to quickly scan through months of data in compressed form without having to review every individual spectrogram, thereby reducing the time required to review extensive datasets while maintaining the ability to examine details when needed.
Solution Approach 2:
The patent introduces a temporal compression dimension by displaying multiple spectrograms in a condensed overview format. Instead of presenting each spectrogram at full resolution occupying large screen space, the system creates a compressed temporal representation that fits more data on the screen, allowing rapid scanning through time periods while preserving the option to expand specific regions for detailed analysis.
2Measurement precision
If users manually review large bodies of acoustic data, then detailed analysis is possible, but extensive time is required to process and visualize the data
Solution Approach 1:
The patent implements preliminary automated processing that generates overview plots and identifies potential signals of interest before the user begins detailed review. The system pre-processes large bodies of acoustic data to create compressed visual representations and flag promising time periods, so that users don't have to manually examine every data point. This preliminary action maintains signal identification accuracy by preserving detailed spectrogram access while dramatically increasing productivity through automated pre-analysis.
Solution Approach 2:
The patent introduces an intermediary automated analysis layer that sits between the raw acoustic data and the user. This intermediary system performs initial signal detection, generates compressed overview visualizations, and prioritizes time periods worth detailed examination. The intermediary maintains measurement precision by accurately identifying signals of interest while improving productivity by filtering out irrelevant data and presenting only the most promising candidates for user review.
3Quantity of substance
If comprehensive acoustic data is collected over long periods, then more information about animal presence and behavior is obtained, but the complexity of analyzing and visualizing the data increases
Solution Approach 1:
The patent segments the complex analysis task into distinct functional modules: data collection, automated preprocessing, overview plot generation, detailed spectrogram analysis, and signal identification. Each module handles a specific aspect of the data pipeline independently. This segmentation manages the complexity of analyzing comprehensive long-term acoustic data by breaking down the monolithic analysis task into manageable, specialized components that can be developed and maintained separately.
Solution Approach 2:
The patent adds a temporal compression dimension to the data visualization system, allowing comprehensive acoustic data to be represented in compressed overview plots that fit on standard displays. This dimensional transformation enables the system to handle large volumes of long-term data without proportionally increasing visualization complexity, as the compressed views automatically adapt to display constraints while preserving access to full-resolution detailed data when needed.
Data Source
AI summary
The present invention is directed to acoustics and signal processing. More specifically, the present invention is directed to a system and methods by which whether and the time during which one or more subjects are present within a given area of a marine or terrestrial ecosystem, and other information regarding the subjects can be efficiently determined by the sounds that the subjects produce. Advantageously, certain embodiments of the present invention permit a user to select and rapidly produce one or more visual presentations of the signals of interest (SOI) recorded from the passive acoustic monitoring of a given area of an ecosystem in order to obtain additional information about the subjects.