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An improved acoustic imaging algorithm combining object detection and beamforming for acoustic camera.

Fangli Ning1, Di Meng1, Juan Wei2

  • 1School of Mechanical Engineering, Northwestern Polytechnical University, Xi'an, Shaanxi 710072, China.

JASA Express Letters
|September 26, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces an improved acoustic imaging algorithm for acoustic cameras, reducing computational costs and interference. The enhanced method achieves real-time acoustic imaging of specific equipment with reduced sidelobe interference.

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Area of Science:

  • Acoustics
  • Signal Processing
  • Machine Learning

Background:

  • Acoustic imaging algorithms for acoustic cameras face challenges with high computational cost and interference from sidelobes and mainlobes.
  • Existing methods struggle to efficiently isolate and image specific equipment in noisy acoustic environments.

Purpose of the Study:

  • To propose an improved acoustic imaging algorithm that addresses the limitations of current methods.
  • To reduce computational cost and interference in acoustic imaging.
  • To enable real-time acoustic imaging of specified equipment.

Main Methods:

  • Integration of an object detection algorithm (YOLO-Fastest) with a beamforming algorithm.
  • Utilizing YOLO-Fastest to identify and define the imaging area of target equipment.
  • Applying beamforming within the reduced area to enhance imaging efficiency and reduce interference.

Main Results:

  • The proposed algorithm significantly reduces sidelobe interference compared to traditional methods.
  • Real-time acoustic imaging of specified equipment is achieved.
  • Demonstrated reduction in computational cost and improved imaging accuracy for targeted equipment.

Conclusions:

  • The integrated object detection and beamforming approach offers a viable solution for enhancing acoustic camera performance.
  • This method effectively mitigates interference and computational burdens, enabling practical real-time acoustic monitoring of specific equipment.