Intelligent Audible Device Message Verification
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Solution Overview
Problem
Existing systems lack a reliable and cost-efficient method to verify the visibility and perceptibility of messages displayed on intelligent labels and audible devices, particularly in varying ambient conditions, making it difficult to confirm that intended messages are actually projected and perceived.
Innovation Solution
A verifiable display system that includes a light detection layer to detect the illumination state of pixels and an intelligent audible device with a sound input transducer to capture and compare actual sound signals, ensuring that intended messages are properly displayed and perceived, with supporting circuitry for automated detection and recording.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a light detection layer is added to detect the illumination state of pixels, then message verification capability is improved, but device complexity increases
Solution Approach 1:
The light detection layer is merged with the display structure itself, integrating the verification function into the existing display architecture rather than adding separate external verification equipment. This reduces overall system complexity while maintaining verification capability.
Solution Approach 2:
The display system performs self-verification through the integrated light detection layer that monitors its own pixel illumination states. This self-service approach eliminates the need for external verification systems, reducing device complexity while improving reliability.
2Measurement precision
If sound input transducer and comparison circuitry are added to verify audible messages, then verification accuracy is improved, but device complexity increases
Solution Approach 1:
A sound input transducer serves as an intermediary to capture audible messages and convert them to electrical signals for comparison. This intermediary approach enables accurate verification while keeping the comparison circuitry simple and integrated into the existing audio processing path.
Solution Approach 2:
The system uses feedback by comparing the captured sound signal with the expected message signal and using this comparison to verify message delivery. This feedback mechanism improves verification accuracy without requiring complex additional hardware.
3Productivity
If automated detection and recording circuitry is implemented, then productivity is improved, but device complexity increases
Solution Approach 1:
The detection and recording circuitry is configured to automatically detect and record verification results without requiring manual intervention. This preliminary automation of the verification process improves productivity by eliminating manual verification steps.
Solution Approach 2:
The detection and recording circuitry serves multiple functions including verifying both visual and audible messages, recording verification results, and providing feedback to the system. This multi-functionality improves productivity while minimizing the need for separate dedicated components.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables accurate electronic detection and verification of displayed messages, allowing for informed decision-making and maintaining a reliable communication of shipping and quality information, enhancing trust and reducing fraud in tracking goods.
Implementation Method 1
A sound input transducer captures the actual sound projected into the local environment
Implementation Method 2
a light detection layer in the verifiable display detects the illumination state of the pixels
Data Source
AI summary
An intelligent audible device is provided that is constructed to monitor for an event, such as actual or elapse time, or a sensor exceeding a threshold. Responsive to the event, a sound input transducer is activated, and an output sound signal representing an intended message is projected into the local environment by a sound output transducer. The sound input transducer captures the actual sound projected into the local environment. The captured actual sound is processed and compared to the output sound signal. In this way it may be confidently determined if the intended message was actually properly projected into the local environment.


