Bird and frog intelligent monitoring method based on deep learning

A deep learning and intelligent monitoring technology, applied in speech analysis, instruments, etc., can solve the problems of limited monitoring time, monitoring frequency, low recognition efficiency, and high requirements for manual identification of species professional skills, and achieves a highly practical and popularized technology. Effect

Inactive Publication Date: 2018-11-30
深圳园林股份有限公司
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Problems solved by technology

[0005] The purpose of the present invention is to propose a method for intelligent monitoring of frogs and birds based on deep learning to solve: (1) the problem that monitoring time and monitoring frequency are ext

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  • Bird and frog intelligent monitoring method based on deep learning
  • Bird and frog intelligent monitoring method based on deep learning
  • Bird and frog intelligent monitoring method based on deep learning

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Embodiment Construction

[0037] In order to further illustrate the technical means and functions adopted by the present invention to achieve the intended invention purpose, the typical implementation manners for implementing the present invention will be described in detail below in conjunction with the accompanying drawings.

[0038] like figure 1 As shown, an intelligent monitoring method for birds and frogs based on deep learning automatically collects the sounds of birds and frogs in the monitoring area through the outdoor sound collection device arranged in the monitoring area, and then uses the sound sensor to collect the collected sounds of birds and frogs. The sound is wirelessly transmitted to the server, and the server converts the sound of birds and frogs into language graphs, which are trained by Xeno-Canto and Taisong data and recognized by the Soundception model after manually correcting errors in the early stage to identify birds and frogs The species corresponding to the similar sound,...

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Abstract

The invention discloses a bird and frog intelligent monitoring method based on deep learning, which is used for remote wireless ecological monitoring. The method comprises: arranging an outdoor soundacquisition device in a monitoring area, wherein the outdoor sound acquisition device is triggered by a sound triggering module to acquire a bird sound and a frog sound; allowing a wireless communication module to wirelessly transmit an audio file of the bird sound the frog sound to a computer server; allowing the computer server to convert the audio file of the bird sound and the frog sound intoa visual sonogram and performing pre-processing; allowing the computer server to perform image recognition and statistical analysis on the sonogram; and generating a daily monitoring form. The bird and frog intelligent monitoring method compensates for the problems that in manual ecological monitoring, the human and material cost is high, the monitoring time and frequency are limited, the data processing efficiency is low, and requirements of species for professional skills of a recognition person are high, and can be used for long-term ecological monitoring of natural protection sites.

Description

technical field [0001] The invention relates to the technical field of sound intelligent recognition and monitoring, in particular to a method for collecting and intelligently recognizing bird and frog sounds based on deep learning. Background technique [0002] Biodiversity survey and monitoring is one of the daily tasks in nature reserves, forest parks and other nature reserves. However, due to the accessibility of monitoring sites and the tendency of animals to avoid humans, biodiversity monitoring often consumes a lot of manpower and material resources, and may not be able to obtain true and effective investigation and monitoring data. In order to fully grasp the dynamic changes of biodiversity, infrared trigger camera trap technology has been widely used in the continuous collection of wild images of mammals and some birds, but upper layer birds, small or fast-moving birds in forests, and Frogs, being cold-blooded animals, cannot be recorded by infrared cameras, and so...

Claims

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Application Information

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IPC IPC(8): G10L17/26G10L21/10
CPCG10L17/26G10L21/10
Inventor 赵健孙延军苏洪林陈晓熹
Owner 深圳园林股份有限公司
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