Audio-Controlled Image Capturing Using Sound Event Analysis
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Solution Overview
Problem
Existing image capturing technologies, especially in multi-shot functionality, often require quick user reactions to capture moving objects optimally, leading to potential missed moments and time-consuming post-processing to select the best image, as they rely solely on visual cues without audio assistance.
Innovation Solution
The method involves receiving and analyzing audio signals associated with a series of images to determine auditory events, using microphone arrays to estimate sound direction and energy changes, thereby automatically selecting the optimal image for enhanced quality capture.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple images are captured in multi-shot functionality to ensure capturing the right moment, then the probability of capturing the desired moment is improved, but the time required for post-processing to select the best image increases
Solution Approach 1:
The system performs preliminary actions by capturing multiple images with different exposure times before the user needs to select the final image. The audio analysis is also performed preliminarily to identify the desired moment, so that when post-processing is needed, the best image can be quickly identified without extensive manual review of all captured images.
Solution Approach 2:
The system uses audio signals as feedback to automatically determine which captured image corresponds to the desired moment. By analyzing audio events and comparing them with timestamps of captured images, the system provides feedback that identifies the optimal image, reducing the manual selection burden and post-processing time.
2Manufacturing precision
If the user manually selects the best image from multiple captured images, then the quality control is improved, but the operation complexity and time consumption increase
Solution Approach 1:
The system performs self-service by automatically analyzing captured images using audio analysis results to identify and select the image corresponding to the desired moment. This eliminates the need for manual user intervention in the selection process, thereby improving ease of operation while maintaining quality control through automated objective criteria.
Solution Approach 2:
The manual mechanical process of user image selection is replaced with an automated system combining audio analysis and image processing. The audio-based automatic selection mechanism substitutes the manual visual inspection and selection process, reducing operation complexity while preserving quality control through systematic automated evaluation.
3Ease of operation
If audio analysis is used to automatically select images, then the ease of operation is improved, but the device complexity increases
Solution Approach 1:
The audio processing system serves multiple functions: it detects audio events, determines timing of desired moments, identifies objects of interest, and triggers image selection. By making the audio analysis system multi-functional, the patent reduces the need for separate dedicated components for each function, thereby managing device complexity while achieving automated image selection.
Solution Approach 2:
The audio signal acts as an intermediary that connects the captured images with the selection process. Instead of directly complex image processing algorithms, the system uses audio analysis as an intermediary layer to identify the desired moment, which then guides the selection of the corresponding image. This intermediary approach simplifies the overall system architecture while maintaining automated selection capability.
Data Source
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AI summary
A method comprising: receiving a plurality of images corresponding to a time period covering the intended moment for releasing the shutter; receiving an audio signal associated with the plurality of images using audio capturing means; analyzing the received audio signal in order to determine an auditory event associated with a desired output image; and selecting at least one of the plurality of images on the basis of the analysis of the received audio signal for further processing in order to obtain the desired output image.