Smart Camera Sound Reason Detection and Video Push
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Solution Overview
Problem
Existing smart video camera monitoring systems lack the capability to efficiently determine the reason for sounds produced by monitored objects and provide real-time video information to users, limiting their effectiveness in remote monitoring applications.
Innovation Solution
The method involves determining the sound production reason by performing feature extraction on the target sound, comparing it with pre-stored sound templates, and pushing the sound production information to a mobile terminal, which can also receive video acquisition instructions to display video information, with the option to train sound templates for improved accuracy and network connectivity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If smart video camera performs sound analysis and video acquisition to provide comprehensive monitoring information, then monitoring effectiveness is improved, but device complexity and computational burden increase
Solution Approach 1:
The patent extracts and separates the sound analysis function from the video camera system, using a dedicated sound template matching module to identify sound production reasons. This extraction reduces the computational burden on the main system while maintaining comprehensive monitoring capabilities through specialized sub-modules.
Solution Approach 2:
The patent introduces a sound template library as an intermediary component that pre-stores sound patterns and their corresponding production reasons. This intermediary enables the system to quickly match and identify sound sources without complex real-time analysis, thereby reducing computational complexity while improving monitoring reliability.
2Loss of information
If smart video camera processes and stores comprehensive monitoring data locally, then data availability is improved, but storage burden and energy consumption increase
Solution Approach 1:
The patent extracts only the essential sound production reason information from the comprehensive monitoring data and transmits this extracted information to the mobile terminal. This selective extraction reduces the amount of data that needs to be stored and transmitted while ensuring that the most important monitoring information remains available.
Solution Approach 2:
The patent performs preliminary sound analysis and template matching at the camera端, identifying sound production reasons before data transmission. This preliminary processing reduces the volume of data requiring storage and transmission, as only the identified sound reasons and relevant video snippets need to be transmitted rather than raw audio-video streams.
3Ease of operation
If smart video camera transmits real-time video information to mobile terminal, then user accessibility is improved, but network energy consumption increases
Solution Approach 1:
The patent performs preliminary sound detection and template matching before initiating video transmission. Only when a target sound matching known patterns is detected does the system activate video acquisition and transmission, thereby reducing unnecessary network energy consumption while maintaining real-time monitoring accessibility when needed.
Solution Approach 2:
The patent implements periodic sound sampling and analysis rather than continuous video streaming. The system periodically checks for target sounds using the sound template library, and only activates full video transmission when sound events are detected, creating an energy-efficient periodic monitoring pattern that maintains user accessibility.
Data Source
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AI summary
The present disclosure relates to an object monitoring method and device. The object monitoring method includes: when a target sound exists in acquired sounds, a sound production reason for the target sound is determined; and sound production information is pushed to a mobile terminal, the sound production information containing the sound production reason.