Real-time sound detection and regeneration based on optical flow algorithm of laser speckle images

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Sound detection with optical means is an appealing research topic. Laser speckle is one effective method to detect the sound due to its sensitivity to tiny motion. The traditional laser-speckle sound recovery methods require a high-speed camera to record fast-moving speckle images and then recover the original sound signals from the motion information of the captured speckle images. In this manuscript, a laser microphone system is proposed to detect and regenerate the sound signal in real time. In the proposed system, only a small part of the imaging sensor is used to ensure a high sampling rate with a common industrial camera and reduce the computation time consumption. Meanwhile, optical flow algorithm is employed to obtain the motion information of captured speckle images and regenerate the sound. These two points allow us to capture images from the camera and regenerate sound in real time without storing any data into the computer, which greatly increases the speed of the system and achieves a microphone-like functions. Experiments are conducted to show that the proposed system can detect and regenerate the sound signal in real-time with a high quality.

Original languageEnglish
Title of host publication2019 28th Wireless and Optical Communications Conference, WOCC 2019 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728106601
DOIs
Publication statusPublished - 2019 May
Event28th Wireless and Optical Communications Conference, WOCC 2019 - Beijing, China
Duration: 2019 May 92019 May 10

Publication series

Name2019 28th Wireless and Optical Communications Conference, WOCC 2019 - Proceedings

Conference

Conference28th Wireless and Optical Communications Conference, WOCC 2019
CountryChina
CityBeijing
Period19/5/919/5/10

Keywords

  • Laser Microphone
  • Laser Speckle
  • Optical Flow Algorithm
  • Sound Recovery

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems and Management
  • Hardware and Architecture
  • Atomic and Molecular Physics, and Optics

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