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Method, device and system for intelligently detecting forest land net expansion based on deep learning technology

A technology of deep learning and intelligent detection, applied in neural learning methods, measurement devices, radio wave measurement systems, etc., can solve problems such as low inspection efficiency

Pending Publication Date: 2022-02-11
上海岩易科技有限公司
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  • Abstract
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  • Application Information

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Problems solved by technology

This avoids the low inspection efficiency caused by the need to carefully search for bird nets during the process of personnel moving

Method used

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  • Method, device and system for intelligently detecting forest land net expansion based on deep learning technology

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Embodiment Construction

[0006] At present, the method of finding nets in woodlands still relies on law enforcement officers to inspect the woodlands, look around, and use human eyes to find bird nets. The efficiency of such inspections by personnel is very low, and it is easy to miss the bird nets.

[0007] The purpose of the present invention is to solve the problem that it is difficult to find bird-catching nets in the current law enforcement of forest lands, and propose a detection device and method for stretching nets in forest lands, so as to help forest land inspection personnel quickly search for bird-catching nets.

[0008] According to one or more embodiments, a method for detecting forest land netting includes,

[0009] (1) Using a single-person backpack panoramic camera has the following advantages compared to traditional camera panoramic cameras:

[0010] Ultra-wide monitoring viewing angle, a fisheye lens can capture a 360-degree panorama, and the surrounding images can be seen at once,...

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Abstract

The invention discloses a method for intelligently detecting forest land net expansion based on a deep learning technology. The method comprises the following steps: acquiring a panoramic image of a polled forest land through a panoramic camera worn on a forest land inspection worker; and inputting the obtained forest land panoramic image into a trained bird catching net judgment model based on deep learning, and judging whether a net expanding condition exists in the forest land. The sample acquisition process for training the bird catching net judgment model comprises the following steps: performing multi-angle and multi-form shooting on bird catching nets made of different materials to obtain different bird catching net form pictures, and then overlapping the pictures in a picture with a forest land tree trunk background by using an image processing mode in opencv, and automatically generating a label for the overlapping area.

Description

technical field [0001] The invention belongs to the technical field of animal protection, and in particular relates to a method, device and system for intelligently detecting woodland netting based on deep learning technology. Background technique [0002] The hunting of wild migratory birds is a serious crime, often in woodlands, and most of them use nets. But at present, it is very passive to rely mainly on reports from the masses. Because it is difficult to proactively discover the nets used to poach birds in advance, it is impossible to stop the criminal attempt in time, and it is also impossible to obtain strong evidence to bring the bird catcher to justice. Contents of the invention [0003] In the embodiment of the present invention, aiming at the problems in woodland detection, a single-person backpack-type panoramic camera shooting device is provided, which integrates the yolo recognition algorithm, so that people do not need to look for woodland bird-catching ne...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N5/232G01S19/42G06V10/762G06K9/62G06N3/04G06N3/08
CPCG01S19/42G06N3/08H04N23/698G06N3/045G06F18/23213
Inventor 张显峰蒋含笑杨清宇张令涛严超
Owner 上海岩易科技有限公司
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