Modular Camera Interface Audio Quality Feedback

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Current camera interfaces on computing devices, such as smartphones, lack efficient audio feedback mechanisms, making it difficult to assess and improve audio quality during content capture, especially in environments with noise or wind interference.

Innovation Solution

A modular camera interface that processes audio data in real-time, providing immediate feedback through visual cues like color or shape indicators around the camera element, allowing users to adjust recording settings without distracting from visual feedback on the screen.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If audio feedback is provided through separate interface elements, then audio quality assessment capability is improved, but interface complexity and number of user actions increase

Engineering Contradiction:
Improveaudio quality assessmentVSAvoidinterface complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent combines audio feedback indicators directly with the visual camera interface elements, merging audio quality assessment functionality into the existing visual display rather than adding separate controls. This integration allows users to assess audio quality through the same interface used for visual composition, reducing overall interface complexity.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The patent introduces visual indicators (such as color-coded overlays or icons) as intermediary elements that convey audio quality information within the existing visual interface framework. These indicators act as mediators between the audio input system and the user, providing audio feedback without requiring separate audio-specific controls.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Speed

If real-time audio processing is implemented, then audio quality feedback responsiveness is improved, but processing resource consumption increases

Engineering Contradiction:
Improvefeedback responsivenessVSAvoidprocessing resource consumption
Core Design Contradiction:
SpeedVSUse of energy by moving object

Solution Approach 1:

The patent implements partial audio processing by analyzing only specific audio characteristics (such as volume levels, noise thresholds, or basic spectral features) rather than performing full-spectrum audio analysis. This selective processing provides sufficient feedback for user adjustment while consuming fewer computational resources.

Inventive Principle:
Principle #16Partial or excessive action

Solution Approach 2:

The patent employs periodic sampling of audio data at optimized intervals rather than continuous real-time analysis. By processing audio feedback at strategically chosen moments (such as between camera shutter operations or at fixed time intervals), the system maintains responsive feedback while reducing overall processing load.

Inventive Principle:
Principle #19Periodic action

Data Source

PatentUS12063321B2Modular camera interface with context-based display elements utilizing first and second lens
Publication Date: 2024.08.13 SNAP INC
  • US12063321B2 patent drawing
  • US12063321B2 patent drawing
  • US12063321B2 patent drawing

AI summary

Systems, devices, methods, instructions stored on media, and other embodiments for a camera interface are described. A standardized modular camera interface may be presented with context elements based on a target interface used to initiate presentation of the camera interface, and with customized actions for creating and sending content, as well as returning to the target interface. In some embodiments, the camera interface includes an audio quality feedback element that is displayed while content is being captured. Such an element can provide feedback on audio quality as the content is being captured. In various embodiments, shape or color displays and changes indicate varying audio quality conditions. Such indicators are, in some embodiments, generated by processing audio stream segments in a machine learning model to generate an audio quality score used to generate the feedback element.