CN111626375B - Image matching system based on artificial intelligence - Google Patents
Image matching system based on artificial intelligence Download PDFInfo
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- CN111626375B CN111626375B CN202010514077.6A CN202010514077A CN111626375B CN 111626375 B CN111626375 B CN 111626375B CN 202010514077 A CN202010514077 A CN 202010514077A CN 111626375 B CN111626375 B CN 111626375B
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Abstract
The invention discloses an artificial intelligence-based image matching system, which relates to the technical field of intelligent image matching, and the technical scheme is as follows: the system comprises an image scanning system, an image analysis system and an image supervision system, wherein the image supervision system is divided into two supervision collection areas which are arranged in parallel and are respectively connected with the image scanning system and the image analysis system, and the two supervision collection areas are communicated with each other through data and are not interfered with each other; each supervision set area comprises N image sets, and the N image sets are connected with the image scanning system and are used for accessing scanned images, wherein each image set can only access one feature of the image; the N image sets connected with the image analysis system are used for accessing the analyzed images, wherein the feature accessed by each image set corresponds to the feature of each image set in the N image sets connected with the image scanning system. And further, the monitoring of the image can be performed in real time.
Description
Technical Field
The invention relates to the technical field of intelligent image matching, in particular to an artificial intelligence-based image matching system.
Background
The image matching refers to identifying homonymy points between two or more images through a certain matching algorithm, for example, in two-dimensional image matching, the correlation coefficients of windows with the same size in a target area and a search area are compared, and the center point of the window corresponding to the maximum correlation coefficient in the search area is taken as the homonymy point. The essence is that under the condition of primitive similarity, the best search problem of the matching criterion is applied;
along with the development of technology, the image matching technology is also widely applied, such as fingerprint unlocking, face unlocking and other applications, a new image needs to be matched with a reserved image, and the consistency of the new image and the reserved image is verified, so that the image matching technology is needed.
However, the existing intelligent image matching system cannot monitor in real time when performing picture scanning and picture analysis.
Disclosure of Invention
Aiming at the defects existing in the prior art, the invention aims at: the intelligent image matching system solves the problem that an existing intelligent image matching system cannot monitor in real time when performing image scanning and image analysis.
The technical aim is achieved by the following technical proposal, the image matching system based on artificial intelligence comprises an image scanning system, an image analysis system and an image supervision system,
an image scanning system for scanning the matched image;
the image analysis system is connected with the image scanning system through wifi and an Internet network and is used for analyzing the image scanned by the image scanning system;
the image monitoring system is connected with the image scanning system and the image analysis system through wifi and the Internet network and is used for monitoring the images scanned by the image scanning system and analyzed by the image analysis system,
the image monitoring system is divided into two monitoring collection areas which are arranged in parallel and respectively connected with the image scanning system and the image analysis system, and the two monitoring collection areas are communicated with each other through data and are not interfered with each other;
each supervision set area comprises N image sets, and the N image sets are connected with the image scanning system and are used for accessing scanned images, wherein each image set can only access one feature of the image;
the N image sets connected with the image analysis system are used for accessing the analyzed images, wherein the feature accessed by each image set corresponds to the feature of each image set in the N image sets connected with the image scanning system.
The image supervision system also comprises a storage module which is communicated with the N image sets through data and is used for storing each image characteristic accessed by the image sets.
The invention further relates to a system for image matching based on artificial intelligence,
the image analysis system comprises N image acquisition modules and N image analysis modules, and the N image acquisition modules are connected with the N image analysis modules through data.
The invention further relates to a system for image matching based on artificial intelligence,
the N image acquisition modules are used for acquiring lines, brightness, pixels, frames and colors of the images;
and the N image analysis modules are used for receiving the data fed back by the N image acquisition modules and analyzing the lines, the brightness, the pixels, the frames and the colors of the images.
The invention further relates to a system for image matching based on artificial intelligence,
the image scanning system at least comprises two scanning modules, one scanning module is used for scanning the shot image, and the other scanning module is used for scanning the image directly shot by the camera;
the two scanning modules are communicated through data, and do not interfere with each other.
The invention further relates to a system for image matching based on artificial intelligence,
the scanning module is connected with the image analysis module, and the scanning module used for scanning the shot image is different from the image analysis module connected with the scanning module used for scanning the image shot by the camera.
The invention further relates to a system for image matching based on artificial intelligence,
when the analysis is performed through the N image analysis modules, the analysis results input in advance through the Tensorflow system are judged, and the results input in advance are two possible, namely, 1 represents matching or 2 represents non-matching, and 0 represents non-matching or 1 represents matching.
The invention has the following technical effects:
according to the image matching system based on artificial intelligence, the image scanning system and the image analysis system are monitored respectively through two supervision collection areas which are arranged in parallel in the image supervision system, so that the image can be monitored in real time.
Detailed Description
In a first embodiment of the present invention,
an artificial intelligence based image matching system comprises an image scanning system, an image analysis system and an image supervision system,
an image scanning system for scanning the matched image;
the image analysis system is connected with the image scanning system through wifi and an Internet network and is used for analyzing the image scanned by the image scanning system;
the image monitoring system is connected with the image scanning system and the image analysis system through wifi and the Internet network and is used for monitoring the images scanned by the image scanning system and analyzed by the image analysis system,
the image monitoring system is divided into two monitoring collection areas which are arranged in parallel and respectively connected with the image scanning system and the image analysis system, and the two monitoring collection areas are communicated with each other through data and are not interfered with each other;
each supervision set area comprises N image sets, and the N image sets are connected with the image scanning system and are used for accessing scanned images, wherein each image set can only access one feature of the image;
the N image sets connected with the image analysis system are used for accessing the analyzed images, wherein the feature accessed by each image set corresponds to the feature of each image set in the N image sets connected with the image scanning system.
The image supervision system also comprises a storage module which is communicated with the N image sets through data and is used for storing each image characteristic accessed by the image sets.
In a second embodiment of the present invention,
an artificial intelligence based image matching system comprises an image scanning system, an image analysis system and an image supervision system,
an image scanning system for scanning the matched image;
the image analysis system is connected with the image scanning system through wifi and an Internet network and is used for analyzing the image scanned by the image scanning system;
the image monitoring system is connected with the image scanning system and the image analysis system through wifi and the Internet network and is used for monitoring the images scanned by the image scanning system and analyzed by the image analysis system,
the image monitoring system is divided into two monitoring collection areas which are arranged in parallel and respectively connected with the image scanning system and the image analysis system, and the two monitoring collection areas are communicated with each other through data and are not interfered with each other;
each supervision set area comprises N image sets, and the N image sets are connected with the image scanning system and are used for accessing scanned images, wherein each image set can only access one feature of the image;
the N image sets connected with the image analysis system are used for accessing the analyzed images, wherein the feature accessed by each image set corresponds to the feature of each image set in the N image sets connected with the image scanning system.
The image supervision system also comprises a storage module which is communicated with the N image sets through data and is used for storing each image characteristic accessed by the image sets.
The image analysis system comprises N image acquisition modules and N image analysis modules, and the N image acquisition modules are connected with the N image analysis modules through data.
The N image acquisition modules are used for acquiring lines, brightness, pixels, frames and colors of the images;
and the N image analysis modules are used for receiving the data fed back by the N image acquisition modules and analyzing the lines, the brightness, the pixels, the frames and the colors of the images.
The image scanning system at least comprises two scanning modules, one scanning module is used for scanning the shot image, and the other scanning module is used for scanning the image directly shot by the camera;
the two scanning modules are communicated through data, and do not interfere with each other.
The scanning module is connected with the image analysis module, and the scanning module used for scanning the shot image is different from the image analysis module connected with the scanning module used for scanning the image shot by the camera.
When the analysis is performed through the N image analysis modules, the analysis results input in advance through the Tensorflow system are judged, and the results input in advance are two possible, namely, 1 represents matching or 2 represents non-matching, and 0 represents non-matching or 1 represents matching.
In summary, the image matching system based on artificial intelligence monitors an image scanning system and an image analysis system respectively through two parallel monitoring collection areas in an image monitoring system, so that the image can be monitored in real time.
The present embodiment is only for explanation of the present invention and is not to be construed as limiting the present invention, and modifications to the present embodiment, which may not creatively contribute to the present invention as required by those skilled in the art after reading the present specification, are all protected by patent laws within the scope of claims of the present invention.
Claims (6)
1. An artificial intelligence based image matching system comprises an image scanning system, an image analysis system and an image supervision system,
an image scanning system for scanning the matched image;
the image analysis system is connected with the image scanning system through wifi and an Internet network and is used for analyzing the image scanned by the image scanning system;
the image monitoring system is connected with the image scanning system and the image analysis system through wifi and the Internet network and is used for monitoring images scanned by the image scanning system and analyzed by the image analysis system, and is characterized in that:
the image monitoring system is divided into two monitoring collection areas which are arranged in parallel and respectively connected with the image scanning system and the image analysis system, and the two monitoring collection areas are communicated with each other through data and are not interfered with each other;
each supervision set area comprises N image sets, and the N image sets are connected with the image scanning system and are used for accessing scanned images, wherein each image set can only access one feature of the image;
the N image sets connected with the image analysis system are used for accessing the analyzed images, wherein the accessed features of each image set correspond to the features of each image set in the N image sets connected with the image scanning system;
the image supervision system also comprises a storage module which is communicated with the N image sets through data and is used for storing each image characteristic accessed by the image sets.
2. A system for artificial intelligence based image matching according to claim 1, wherein:
the image analysis system comprises N image acquisition modules and N image analysis modules, and the N image acquisition modules are connected with the N image analysis modules through data.
3. A system for artificial intelligence based image matching according to claim 2, characterized in that:
the N image acquisition modules are used for acquiring lines, brightness, pixels, frames and colors of the images;
and the N image analysis modules are used for receiving the data fed back by the N image acquisition modules and analyzing the lines, the brightness, the pixels, the frames and the colors of the images.
4. A system for artificial intelligence based image matching according to claim 3, wherein:
the image scanning system at least comprises two scanning modules, one scanning module is used for scanning the shot image, and the other scanning module is used for scanning the image directly shot by the camera;
the two scanning modules are communicated through data, and do not interfere with each other.
5. A system for artificial intelligence based image matching according to claim 4, wherein:
the scanning module is connected with the image analysis module, and the scanning module used for scanning the shot image is different from the image analysis module connected with the scanning module used for scanning the image shot by the camera.
6. A system for artificial intelligence based image matching according to claim 2, characterized in that:
when the analysis is carried out by the N image analysis modules, the analysis results input in advance by the Tensorflow system are judged, the results input in advance are two, 1 is used for representing matching or 2 is used for representing non-matching, and 0 is used for representing non-matching or 1 is used for representing matching.
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