Smart Glasses Audio System for Venue Sound Quality
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Solution Overview
Problem
Current audio systems face challenges in managing sound quality in large venues due to issues like echo, crowd noise, and synchronization of audio and video, requiring extensive human intervention and often resulting in compromised sound experiences for some audience members, while also failing to address hearing damage from harmful frequencies.
Innovation Solution
A mobile cluster-based audio adjusting system that uses computing devices with sound sensing mechanisms and wireless transceivers to autonomously adjust audio outputs based on sensed noise, incorporating user-centric control and integration with existing hardware and software, capable of detecting harmful frequencies and providing real-time alerts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If distributed sound systems are used to reduce echo in large venues, then sound quality is improved, but temperature gradients and wind can still steer sound in undesirable ways
Solution Approach 1:
The system dynamically adjusts audio output parameters based on real-time environmental conditions detected by sensors. The audio system transitions from static to adaptive operation, modifying sound distribution patterns in response to changing temperature gradients and wind conditions to maintain optimal sound quality.
Solution Approach 2:
Environmental sensors provide continuous feedback about temperature gradients and wind conditions to the audio control system. This feedback loop enables the system to detect adverse conditions and automatically adjust audio output parameters to compensate for sound steering effects, maintaining reliable sound quality.
2Reliability
If audio levels are increased to overcome crowd noise (105 dB), then audio intelligibility is improved, but sound levels exceed 110 dB which poses danger to human listeners
Solution Approach 1:
The system provides personalized audio output to individual listeners based on their specific environmental conditions and hearing profiles. Instead of uniform high-volume output to all audiences, each listener receives locally optimized audio that maintains intelligibility without exceeding safe volume thresholds, addressing the specific needs of each listener position.
Solution Approach 2:
The system dynamically changes audio output parameters including volume level, frequency distribution, and temporal characteristics based on real-time crowd noise measurements and individual listener conditions. This allows maintenance of audio intelligibility through parameter optimization rather than simply increasing overall volume.
3Reliability
If audio and video are synchronized in large venues with highly reverberant surfaces, then presentation quality is improved, but long decay times make reliable sync difficult
Solution Approach 1:
The system performs preliminary synchronization adjustments based on pre-measured reverberation characteristics of the venue. Audio and video timing parameters are pre-calibrated to account for expected decay times, allowing the system to compensate for reverberation effects before the actual presentation begins.
Solution Approach 2:
Real-time sensors monitor audio reverberation conditions and provide feedback to the synchronization system. The system continuously adjusts audio timing based on measured decay characteristics, maintaining reliable audio-video sync even as environmental conditions change during the presentation.
4Productivity
If audio system operators manually adjust sound levels to favor the majority of listeners, then overall audience satisfaction is improved, but minority listeners are forced to suffer through compromised quality
Solution Approach 1:
The audio system divides the audience into multiple zones or clusters, each with independently optimized audio output. Instead of a single unified audio feed, the system segments the sound distribution to address the specific acoustic conditions and preferences of different listener groups, ensuring each segment receives appropriate quality.
Solution Approach 2:
Each listener or listener group receives locally optimized audio output tailored to their specific position and environmental conditions. The system adjusts frequency response, volume, and other parameters independently for different zones, ensuring high quality for all listeners rather than compromising minority experiences for majority satisfaction.
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
The system effectively manages sound quality across multiple clusters, reducing harmful noise exposure and enhancing the listening experience by autonomously adjusting audio levels and providing preventative measures against hearing damage, while supporting scalable integration with various technologies and applications.
Implementation Method 1
a light sensing module located at the bridge
Implementation Method 2
an audio module configured to sense a noise, identify one or more sounds within the noise
Implementation Method 3
The sound-sensing mechanism includes an omnidirectional transducer, an ultrasonic transducer, an infrasonic transducer, or a microwave transducer
Data Source
AI summary
The systems and methods described relate to the concept that smart devices can be used to: sense various types of phenomena like sound, blue light exposure, RF and microwave radiation, and, in real-time, analyze, report and/or control outputs (e.g., displays or speakers). The systems are configurable and use standard computing devices, such as wearable electronics (e.g., smart glasses), tablet computers, and mobile phones to measure various frequency bands across multiple points, allowing a single user to visualize and/or adjust environmental conditions.