Acoustic method for identifying shape of object in real time

Abstract

The invention discloses an acoustic method for identifying shape of an object in real time. The method comprises the following steps: 1, obtaining a training set and a test set of a neural network; 2,inputting the training set into an acoustic super neural network, and forming certain sound pressure distribution on a detection surface after the training set passes through a multi-layer acoustic super surface; 3, dividing the detection surface into N regions, and obtaining a total sound energy value of the N regions; 4, calculating an error between the obtained N values and a label of the object, and calculating a gradient of phase modulation applied by each super neuron by using the error, thereby updating the gradient, updating the phase until stable output is obtained, and correctly identifying a target object; 5, determining a phase offset value of each unit on the super surface through the updated phase value, and making the acoustic super surface according to the phase offset value; and 6, placing the acoustic super surface at a proper position, and after the sound wave passes through the acoustic super surface, identifying the target object by a probe positioned behind the acoustic super surface.

Description

technical field [0001] The invention relates to an acoustic method for recognizing object shapes in real time, and belongs to the field of acoustics. Background technique [0002] Recognizing the shape of an object is a common technique in acoustics, such as ultrasonic nondestructive testing and medical ultrasound. Traditional ultrasound imaging technology needs to rely on an array composed of a large number of transducers, and the size of a single transducer is often larger than the wavelength. The transducer technology limits the further improvement of imaging resolution, which is unfavorable for accurate diagnosis. In addition, traditional methods often require complex post-processing of received signals, rely on powerful processors, have high energy consumption and cannot automatically identify objects. Contents of the invention [0003] Purpose of the invention: In order to overcome the deficiencies in the prior art, the present invention provides an acoustic method ...

AI Technical Summary

Problems solved by technology

Traditional ultrasound imaging technology needs to rely on an array composed of a large number of transducers, and the size of a single transducer is often larger than the wavelength. The transducer technology limits the further improvement of imaging resolution, which is unfavorable for accurate diagnosis.

In addition, traditional methods often require complex post-processing of received signals, rely on powerful processors, consume high energy and cannot automatically identify objects

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