CN108280404A - A kind of recognition methods of UAV Intelligent line walking and system based on artificial intelligence - Google Patents
A kind of recognition methods of UAV Intelligent line walking and system based on artificial intelligence Download PDFInfo
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- CN108280404A CN108280404A CN201711485867.0A CN201711485867A CN108280404A CN 108280404 A CN108280404 A CN 108280404A CN 201711485867 A CN201711485867 A CN 201711485867A CN 108280404 A CN108280404 A CN 108280404A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/10—Terrestrial scenes
- G06V20/13—Satellite images
Abstract
The recognition methods of UAV Intelligent line walking and system that the invention discloses a kind of based on artificial intelligence, to solve the problems, such as that existing unmanned plane line walking precision is low.This method includes：Obtain the original flight information of unmanned plane, pipeline layout information and original image of taking photo by plane；The original flight information of the unmanned plane is converted into unmanned plane during flying information by preset format and the original image of taking photo by plane is obtained into detection target information by image recognition and object detection；It integrates the unmanned plane during flying information, the pipeline layout information and the detection target information and obtains testing result information；Examining report is generated according to the testing result information and the detection target information.The present invention is integrated with unmanned aerial vehicle platform and algorithm hardware platform, carries out intelligent recognition and analysis to the photo of unmanned plane pipeline based on artificial intelligence, keeps positioning more accurate, analysis result is more accurate.
Description
Technical field
The present invention relates to air vehicle technique field more particularly to a kind of UAV Intelligent line walking identifications based on artificial intelligence
Method and system.
Background technology
Referred to as " unmanned plane ", english abbreviation is " UAV " to UAV, using radio robot and is provided for oneself
The not manned aircraft that presetting apparatus manipulates, or fully or intermittently automatically operated by car-mounted computer.
Compared with manned aircraft, unmanned plane is often more suitable for the task of those too " slow-witted, dirty or dangerous ".Nobody
Machine press application field, can be divided into it is military with it is civilian.Military aspect, unmanned plane are divided into reconnaissance plane and target drone.Civilian aspect, unmanned plane
+ sector application, which is unmanned plane, really just have been needed；At present take photo by plane, agricultural, plant protection, miniature self-timer, express transportation, disaster relief,
Observe wild animal, monitoring infectious disease, mapping, news report, electric inspection process, the disaster relief, movies-making, manufacture romance etc. field
Application, greatly expanded the purposes of unmanned plane itself, developed country is also in actively extension sector application and development unmanned plane
Technology.
Unmanned plane line walking has saved a large amount of manpower and time compared to traditional artificial line walking, and still, the prior art is universal
Excessively rely on that image mosaic and background difference method, object detection and accuracy of identification be not high to ask there are line walking detection process
Topic.
Invention content
The technical problem to be solved in the present invention is designed to provide a kind of UAV Intelligent line walking knowledge based on artificial intelligence
Other method and system, to solve the problems, such as that existing unmanned plane line walking precision is low.
To achieve the goals above, the technical solution adopted by the present invention is：
A kind of UAV Intelligent line walking recognition methods based on artificial intelligence, including step：
Obtain the original flight information of unmanned plane, pipeline layout information and original image of taking photo by plane；
The original flight information of the unmanned plane is converted into unmanned plane during flying information by preset format and is taken photo by plane described
Original image obtains detection target information by image recognition and object detection model；
It integrates the unmanned plane during flying information, the pipeline layout information and the detection target information and obtains testing result
Information；
Examining report is generated according to the testing result information and the detection target information.
Further, the detection target information includes targets of type, target object location and object confidence level.
Further, described to integrate the unmanned plane during flying information, the pipeline layout information and detection target letter
The step of breath obtains testing result information specifically includes：
Geography information coordinate in-flight is combined with the detection target information and generates corresponding detection target information
Geography information position；
According to the geography information position of the geography information Coordinate generation pipeline in the original image of taking photo by plane；
Corresponding threat degree is marked at a distance from pipeline according to object；
The object of the threat degree within a preset range is threatened into object labeled as high.
Further, the testing result information includes targets of type, object geography information position, object confidence
The threat degree of degree, distance and object of the object apart from pipeline.
Further, described the step of examining report is generated according to the testing result information and the detection target information
It specifically includes：
Generation includes the text report of the testing result information；
The testing result information superposition is taken photo by plane into original image to generate visualization report in described.
A kind of UAV Intelligent line walking identifying system based on artificial intelligence, including：
Acquisition module, for obtaining the original flight information of unmanned plane, pipeline layout information and original image of taking photo by plane；
Processing module, for the original flight information of the unmanned plane to be converted to unmanned plane during flying information simultaneously by preset format
And the original image of taking photo by plane is obtained into detection target information by image recognition and object detection model；
Module is integrated, for integrating the unmanned plane during flying information, the pipeline layout information and detection target letter
Breath obtains testing result information；
Reporting modules, for generating examining report according to the testing result information and the detection target information.
Further, the detection target information of the processing module includes targets of type, target object location and object
Confidence level.
Further, module is integrated to specifically include：
Combining unit, for combining and generating corresponding geography information coordinate in-flight with the detection target information
Detect the geography information position of target information；
Generation unit is believed for the geography according to the geography information Coordinate generation pipeline in the original image of taking photo by plane
Cease position；
Threat degree marking unit, for marking corresponding threat degree at a distance from pipeline according to object；
Threat degree judging unit, for the object of the threat degree within a preset range to be threatened mesh labeled as high
Mark object.
Further, it is described integrate module testing result information include targets of type, object geography information position,
The threat degree of the distance and object of object confidence level, object apart from pipeline.
Further, described the step of examining report is generated according to the testing result information and the detection target information
It specifically includes：
Text unit, for generate include the testing result information text report；
Visualization, for the testing result information superposition to be taken photo by plane original image to generate visualization report in described
It accuses.
The present invention has the following advantages compared with traditional technology：
The present invention is integrated with unmanned aerial vehicle platform and algorithm hardware platform, based on artificial intelligence to the photograph of unmanned plane pipeline
Piece carries out intelligent recognition and analysis, keeps positioning more accurate, analysis result is more accurate.
Description of the drawings
Fig. 1 is a kind of UAV Intelligent line walking recognition methods flow chart based on artificial intelligence that embodiment one provides；
Fig. 2 is a kind of UAV Intelligent line walking identifying system structure chart based on artificial intelligence that embodiment two provides.
Specific implementation mode
Following is a specific embodiment of the present invention in conjunction with the accompanying drawings, technical scheme of the present invention will be further described,
However, the present invention is not limited to these examples.
Embodiment one
A kind of UAV Intelligent line walking recognition methods based on artificial intelligence is present embodiments provided, as shown in Figure 1, including
Step：
S11：Obtain the original flight information of unmanned plane, pipeline layout information and original image of taking photo by plane；
S12：The original flight information of unmanned plane is converted into unmanned plane during flying information by preset format and will be taken photo by plane original
Image obtains detection target information by image recognition and object detection；
S13：It integrates unmanned plane during flying information, pipeline layout information and detection target information and obtains testing result information；
S14：Information and detection target information generate examining report according to testing result.
The present embodiment is integrated with unmanned aerial vehicle platform and algorithm hardware platform, is carried out for the photo to unmanned plane pipeline
Intelligent line patrolling identifies and analysis.The original input information of the present embodiment be the original flight information of unmanned plane, pipeline layout information and
It takes photo by plane original image.Wherein, unmanned plane during flying information is imported through unmanned plane during flying information interface, includes mainly flight line information
And important parameter.Original image of taking photo by plane then needs to input image recognition and object detection model based on artificial intelligence.
Intelligent image is identified is divided into two parts with the output of object detection model, and a portion testing result flies with unmanned plane
Input information integrates and intelligent positioning model together for row information and pipeline layout information.Intelligent positioning model and intelligent graphic later
As identifying necessary testing result information input examining report product process with object detection model, text report is then generated
And visualization report, and then complete a line walking identification mission.
In the present embodiment, step S11 is to obtain the original flight information of unmanned plane, pipeline layout information and original graph of taking photo by plane
Picture.
Specifically, the original flight information of unmanned plane is inputted by unmanned plane during flying information interface, original image of taking photo by plane input
To image recognition and object detection model based on artificial intelligence, pipeline layout information input informix and intelligent positioning mould
Type.
In the present embodiment, step S12 is that the original flight information of unmanned plane is converted to unmanned plane during flying letter by preset format
It ceases and the original image that will take photo by plane obtains detection target information by image recognition and object detection model.
Specifically, unmanned plane during flying interface is for integrating, the original flight information of specification unmanned plane, input unmanned plane is original to fly
After row information, unmanned plane interface is converted to unmanned plane during flying information according to preset format and exports.
Image recognition, for analyzing picture material, detects the target specified in original image of taking photo by plane with object detection model
Object, and put forward detection target information.
Wherein, detection target information includes targets of type, target object location and object confidence level.
In the present embodiment, step S13 is to integrate unmanned plane during flying information, pipeline layout information and detection target information to obtain
Testing result information.
Step S13 is specifically included：
Geography information coordinate in-flight is combined with detection target information and generates the ground of corresponding detection target information
Manage information position；
The geography information position of pipeline is generated according to geographical information coordinate in original image of taking photo by plane；
Corresponding threat degree is marked at a distance from pipeline according to object；
The object of threat degree within a preset range is threatened into object labeled as high.
Wherein, testing result information includes targets of type, object geography information position, object confidence level, target
The threat degree of distance and object of the object apart from pipeline.
Specifically, integrating unmanned plane during flying information, pipeline layout information and inspection in informix and intelligent positioning model
Go out target information.
Geography information coordinate (GPS) in-flight is combined to the geography information for generating detection object with detection target information
Position, then according to the geography information position of geographical information coordinate generation pipeline in original image of taking photo by plane.According to the mesh identified
Object is marked at a distance from pipeline, marks corresponding threat degree.Wherein, distance is high threat object within a preset range, than
Such as, preset range is 5 meters, then distance is high threat object within 5 meters.
Testing result information is exported by informix and intelligent positioning model.Testing result information includes object class
The threat degree of the distance and object of type, object geography information position, object confidence level, object apart from pipeline.
In the present embodiment, step S14 is to generate examining report according to testing result and detection target information.
Wherein, step S14 is specifically included：
Generation includes the text report of testing result information；
Testing result information superposition is reported in taking photo by plane original image with generating visualization.
Specifically, examining report includes textual form in visual pattern.
The input of examining report includes：Output result and the intelligent image identification of informix and intelligent positioning model with
The output result of target detection model.
The output of examining report includes：Text report is reported with visualization.Text report be the object that will identify that by
Report after being arranged according to threat degree, and testing result information is provided.Visualization is reported as testing result information superposition in original
Beginning image generates.
The present embodiment realizes UAV Intelligent line walking by artificial intelligence, keeps positioning more accurate, analysis result is more smart
Really.
Embodiment two
A kind of UAV Intelligent line walking identifying system based on artificial intelligence is present embodiments provided, as shown in Fig. 2, packet
It includes：
Acquisition module 21, for obtaining the original flight information of unmanned plane, pipeline layout information and original image of taking photo by plane；
Processing module 22, for by the original flight information of unmanned plane by preset format be converted to unmanned plane during flying information and
The original image that will take photo by plane obtains detection target information by image recognition and object detection；
Module 23 is integrated, is detected for integrating unmanned plane during flying information, pipeline layout information and detection target information
Result information；
Reporting modules 24 generate examining report for information according to testing result and detection target information.
In the present embodiment, acquisition module 21 is for obtaining the original flight information of unmanned plane, pipeline layout information and original of taking photo by plane
Beginning image.
Specifically, the original flight information of unmanned plane is inputted by unmanned plane during flying information interface, original image of taking photo by plane input
To image recognition and object detection model based on artificial intelligence, pipeline layout information input informix and intelligent positioning mould
Type.
In the present embodiment, processing module 22 flies for the original flight information of unmanned plane to be converted to unmanned plane by preset format
Row information and the original image that will take photo by plane obtain detecting target information with object detection model by image recognition.
Specifically, unmanned plane during flying interface is for integrating, the original flight information of specification unmanned plane, input unmanned plane is original to fly
After row information, unmanned plane interface is converted to unmanned plane during flying information according to preset format and exports.
Image recognition, for analyzing picture material, detects the target specified in original image of taking photo by plane with object detection model
Object, and put forward detection target information.
Wherein, the detection target information of processing module 22 includes targets of type, target object location and object confidence level.
In the present embodiment, module 23 is integrated for integrating unmanned plane during flying information, pipeline layout information and detection target letter
Breath obtains testing result information.
Wherein, module 23 is integrated to specifically include：
Combining unit, for being combined geography information coordinate in-flight with detection target information and generating corresponding detection
The geography information position of target information；
Generation unit, the geography information position for generating pipeline according to geographical information coordinate in original image of taking photo by plane；
Threat degree marking unit, for marking corresponding threat degree at a distance from pipeline according to object；
Threat degree judging unit, for the object of Threat within a preset range to be threatened object labeled as high.
Wherein, testing result information includes targets of type, object geography information position, object confidence level, target
The threat degree of distance and object of the object apart from pipeline.
Specifically, integrating unmanned plane during flying information, pipeline layout information and inspection in informix and intelligent positioning model
Go out target information.
Geography information coordinate (GPS) in-flight is combined to the geography information for generating detection object with detection target information
Position, then according to the geography information position of geographical information coordinate generation pipeline in original image of taking photo by plane.According to the mesh identified
Object is marked at a distance from pipeline, marks corresponding Threat.Wherein, distance is high threat object within a preset range, for example,
Preset range is 5 meters, then distance is high threat object within 5 meters.
Testing result information is exported by informix and intelligent positioning model.Testing result information includes object class
The threat degree of the distance and object of type, object geography information position, object confidence level, object apart from pipeline.
In the present embodiment, reporting modules 24 are used for according to testing result and detection target information generates examining report.
Wherein, reporting modules 24 specifically include：
Text unit, for generate include testing result information text report；
Visualization, for reporting testing result information superposition to generate visualization in taking photo by plane original image.
Specifically, examining report includes textual form in visual pattern.
The input of examining report includes：Output result and the intelligent image identification of informix and intelligent positioning model with
The output result of target detection model.
The output of examining report includes：Text report is reported with visualization.Text report be the object that will identify that by
Report after being arranged according to threat degree, and testing result information is provided.Visualization is reported as testing result information superposition in original
Beginning image generates.
The present embodiment realizes UAV Intelligent line walking by artificial intelligence, keeps positioning more accurate, analysis result is more smart
Really.
Specific embodiment described herein is only an example for the spirit of the invention.Technology belonging to the present invention is led
The technical staff in domain can make various modifications or additions to the described embodiments or replace by a similar method
In generation, however, it does not deviate from the spirit of the invention or beyond the scope of the appended claims.
Claims (10)
1. a kind of UAV Intelligent line walking recognition methods based on artificial intelligence, which is characterized in that including step：
Obtain the original flight information of unmanned plane, pipeline layout information and original image of taking photo by plane；
By the original flight information of the unmanned plane by preset format be converted to unmanned plane during flying information and by it is described take photo by plane it is original
Image obtains detection target information by image recognition and object detection model；
It integrates the unmanned plane during flying information, the pipeline layout information and the detection target information and obtains testing result letter
Breath；
Examining report is generated according to the testing result information and the detection target information.
2. a kind of UAV Intelligent line walking recognition methods based on artificial intelligence according to claim 1, which is characterized in that
The detection target information includes targets of type, target object location and object confidence level.
3. a kind of UAV Intelligent line walking recognition methods based on artificial intelligence according to claim 1, which is characterized in that
The unmanned plane during flying information, the pipeline layout information and the detection target information integrated obtains testing result information
The step of specifically include：
Geography information coordinate in-flight is combined with the detection target information and generates the ground of corresponding detection target information
Manage information position；
According to the geography information position of the geography information Coordinate generation pipeline in the original image of taking photo by plane；
Corresponding threat degree is marked at a distance from pipeline according to object；
The object of the threat degree within a preset range is threatened into object labeled as high.
4. a kind of UAV Intelligent line walking recognition methods based on artificial intelligence according to claim 3, which is characterized in that
The testing result information includes targets of type, object geography information position, object confidence level, object apart from pipeline
Distance and object threat degree.
5. a kind of UAV Intelligent line walking recognition methods based on artificial intelligence according to claim 1, which is characterized in that
Described the step of generating examining report according to the testing result information and the detection target information, specifically includes：
Generation includes the text report of the testing result information；
The testing result information superposition is taken photo by plane into original image to generate visualization report in described.
6. a kind of UAV Intelligent line walking identifying system based on artificial intelligence, which is characterized in that including：
Acquisition module, for obtaining the original flight information of unmanned plane, pipeline layout information and original image of taking photo by plane；
Processing module, for the original flight information of the unmanned plane to be converted to unmanned plane during flying information by preset format and is incited somebody to action
The original image of taking photo by plane obtains detection target information by image recognition and object detection model；
Module is integrated, is obtained for integrating the unmanned plane during flying information, the pipeline layout information and the detection target information
To testing result information；
Reporting modules, for generating examining report according to the testing result information and the detection target information.
7. a kind of UAV Intelligent line walking identifying system based on artificial intelligence according to claim 6, which is characterized in that
The detection target information of the processing module includes targets of type, target object location and object confidence level.
8. a kind of UAV Intelligent line walking identifying system based on artificial intelligence according to claim 6, which is characterized in that
Module is integrated to specifically include：
Combining unit, for being combined geography information coordinate in-flight with the detection target information and generating corresponding detection
The geography information position of target information；
Generation unit, in the original image of taking photo by plane according to the geography information position of the geography information Coordinate generation pipeline
It sets；
Threat degree marking unit, for marking corresponding threat degree at a distance from pipeline according to object；
Threat degree judging unit, for the object of the threat degree within a preset range to be threatened target labeled as high
Object.
9. a kind of UAV Intelligent line walking identifying system based on artificial intelligence according to claim 8, which is characterized in that
The testing result information for integrating module includes targets of type, object geography information position, object confidence level, target
The threat degree of distance and object of the object apart from pipeline.
10. a kind of UAV Intelligent line walking identifying system based on artificial intelligence according to claim 6, feature exist
In described the step of generating examining report according to the testing result information and the detection target information specifically includes：
Text unit, for generate include the testing result information text report；
Visualization, for the testing result information superposition to be taken photo by plane original image to generate visualization report in described.
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Application publication date: 20180713 |