Noise source positioning method, device and system based on sound and image

A noise source and image technology, applied in the field of noise source location, can solve the problem of low accuracy and achieve the effect of ensuring accuracy

Inactive Publication Date: 2021-08-10
深圳市图元科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a method, device and system for locating noise sources based

Method used

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  • Noise source positioning method, device and system based on sound and image
  • Noise source positioning method, device and system based on sound and image
  • Noise source positioning method, device and system based on sound and image

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0051] figure 1 It is an implementation flowchart of the noise source location method based on sound and image shown in Embodiment 1. The noise source location method based on sound and image shown in Embodiment 1 is applicable to a noise source location system based on sound and image, and a processor is provided in the system to accurately locate the noise source. For ease of description, only the parts related to the embodiments of the present invention are shown, and the details are as follows:

[0052] Step S110, acquiring sound signals collected at different locations.

[0053] Step S120, judging whether there is a large noise location according to the sound intensity of the sound signal.

[0054] Step S130, if there is a location with high noise, control the camera to collect images toward the location with high noise.

[0055] Step S140, performing artificial intelligence algorithm recognition on the image, and judging whether there is a crowd of people in the image...

Embodiment 2

[0073] Such as figure 2 As shown, Embodiment 2 of the present invention provides an apparatus for locating noise sources based on sound and images, and the apparatus can perform all or part of the steps of any of the methods for locating noise sources based on sounds and images described above. The unit includes:

[0074] Sound signal acquisition device 1, used to obtain sound signals collected at different positions;

[0075] Large noise position determining device 2, for judging whether there is a large noise position according to the sound intensity of the sound signal;

[0076] The image acquisition control device 3 is used to control the camera to perform image acquisition towards the position of large noise if there is a large noise area;

[0077] The image recognition device 4 is used to carry out artificial intelligence algorithm recognition to the image, and judge whether there is a gathering of people in the image;

[0078] The noise source locating device 5 is c...

Embodiment 3

[0080] Such as image 3 As shown, Embodiment 3 of the present invention provides a noise source localization system based on sound and image, and the noise source localization system based on sound and image can perform any of the noise source localization methods based on sound and image shown above All or part of the steps. The system includes:

[0081] The noise sensor is used to collect sound signals from different locations and transmit them to the business data server;

[0082] The business data server is used to judge whether there is a large noise position according to the sound intensity of the sound signal, and control the camera to perform image acquisition towards the large noise position;

[0083] Algorithm server, for carrying out artificial intelligence algorithm recognition to the image that camera collects, and recognition result is sent to described business data server;

[0084] A camera for capturing images of locations with high noise;

[0085] The lou...

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Abstract

The invention is suitable for the technical field of noise source positioning, and provides a noise source positioning method, device and system based on sound and images, and the method comprises the steps: obtaining sound signals collected at different positions; judging whether a loud noise position exists or not according to the sound intensity of the sound signal; if the loud noise position exists, controlling a camera to carry out image acquisition towards the loud noise position; and performing artificial intelligence algorithm identification on the image, judging whether personnel aggregation exists in the image, and if yes, determining that the position of personnel aggregation is the position of the noise source. According to the method, the device and the system, a sound and image combination mode is adopted, after the loud noise position is recognized according to the sound signal collected by the noise sensor, image collection and recognition are performed on the loud noise position through the camera, whether the noise source exists or not is further determined, and therefore the accuracy of noise source determination and positioning is further guaranteed.

Description

technical field [0001] The invention belongs to the technical field of noise source location, and in particular relates to a noise source location method, device and system based on sound and images. Background technique [0002] At present, many people's concept of pollution is limited to nature and the environment, but noise has a tendency to disturb the natural rhythm of life, so it is also a kind of pollution. Noise pollution not only brings inconvenience to life and work, but also brings irreversible damage to physical and mental health in the long-term. Short-term noise makes people feel tired and irritable. People who have been affected by noise for a long time will experience symptoms such as dizziness, headache, neurasthenia, indigestion, high blood pressure and cardiovascular disease. [0003] In order to effectively control the noise, the noise source location analysis must be carried out first. However, in the existing methods, the noise sensor is mainly used ...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06T7/70G10L25/78
CPCG06T7/70G10L25/78G06T2207/10016G06T2207/30196G06T2207/30232G06V20/53
Inventor 夏志
Owner 深圳市图元科技有限公司
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