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Visual microphone based on computational imaging.

Wei Zhang, Chongwu Shao, Haiyu Fan

|September 23, 2025

Summary

This summary is machine-generated.

This study introduces a low-cost optical microphone using single-pixel imaging to detect sound vibrations. The simple, cost-effective system demonstrates effective sound detection on everyday materials with minimal data output.

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Area of Science:

Acoustics and Optics
Photonics and Sensing

Background:

Optical techniques for sound detection offer high sensitivity.
Existing methods can be complex and costly, requiring coherent illumination.

Purpose of the Study:

To propose and experimentally validate a novel optical microphone scheme.
To demonstrate a low-cost, simple, and effective method for sound vibration detection.

Main Methods:

Development of an optical microphone based on single-pixel imaging.
Experimental validation using common materials like paper cards and leaves.
Detection of surface vibrations induced by sound waves.

Main Results:

Successful detection of minute vibrations caused by sound waves on various surfaces.
Demonstration of a simple structure and low-cost implementation.
Elimination of the need for coherent light illumination.

Conclusions:

The proposed single-pixel imaging optical microphone is a viable, cost-effective solution for sound detection.
The method's minimal data volume enables long-duration or continuous measurements.
The technique is versatile, applicable to various surfaces and environments.