Audio-Triggered Image Sharing for Automatic Recipient Selection
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Solution Overview
Problem
Existing image sharing methods require cumbersome selection of transmission destinations, and there is a need to facilitate sharing images with desired counterparts and sharing the state of the recipient.
Innovation Solution
An image capturing apparatus equipped with audio recognition capabilities to identify specific individuals in utterances, automatically transmitting relevant images to associated devices and receiving and playing images from those devices to capture the recipient's state, using processors and memory to execute control functions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual selection of transmission destination is required for image sharing, then transmission accuracy is improved, but user effort and time consumption increase
Solution Approach 1:
The system automatically identifies the transmission destination by recognizing names mentioned in audio utterances and matching them with registered contacts, eliminating the need for manual selection. The apparatus serves itself by autonomously determining who should receive the image based on contextual audio analysis.
Solution Approach 2:
The manual mechanical process of selecting a contact from a list is replaced by an automated audio recognition and name matching system. The system substitutes human interaction with automated speech processing and database matching to identify transmission destinations.
2Ease of operation
If automated transmission based on audio recognition is implemented, then ease of operation is improved, but system complexity increases
Solution Approach 1:
The image capturing apparatus integrates multiple functions including audio recording, speech recognition, contact management, and image transmission within a single system. This multi-functionality reduces the need for separate specialized devices while managing complexity through integrated design.
Solution Approach 2:
The system introduces an intermediary processing layer that bridges audio input and transmission decision-making. The speech recognition module and contact matching module act as intermediaries that translate raw audio into actionable transmission commands, simplifying the overall control flow.
3Loss of information
If continuous image capture is performed to record recipient state, then information completeness is improved, but data volume and processing load increase
Solution Approach 1:
Instead of continuous capture, the system uses periodic triggering based on detected audio patterns. When a name matching a registered contact is recognized in the audio stream, the system captures images at that specific moment, reducing overall data volume while preserving key information about recipient reactions.
Solution Approach 2:
The system performs preliminary audio analysis and name matching before initiating image capture. By pre-processing the audio stream to identify relevant moments, the system avoids capturing unnecessary data and only records images when a named recipient is detected, optimizing the information-to-data-volume ratio.
Data Source
AI summary
An image capturing apparatus obtains audio of an utterance that occurs in a vicinity of the image capturing apparatus, captures an image, and controls image transmission such that in response to a determination that an expression indicating a particular person is included in the audio of the utterance, transmits a first image related to the obtainment of the audio of the utterance among captured images to an external apparatus associated with the expression indicating the particular person. In addition, a second image captured in the external apparatus and related to playing of the first image is received from the external apparatus.