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

High computational cost and interference with sidelobes and other mainlobes are the main problems of acoustic imaging algorithms for acoustic cameras. An improved acoustic imaging algorithm that deeply integrates object detection and a beamforming algorithm is proposed to solve the above problems. The YOLO-Fastest algorithm is employed to obtain the area of the specified equipment to reduce the imaging area of the beamforming algorithm. Experimental results show that an acoustic camera that runs the proposed method can reduce sidelobe interference and obtain acoustic images for specified equipment in real-time.