CN113379254A - Automatic quality inspection system for notarization archives - Google Patents
Automatic quality inspection system for notarization archives Download PDFInfo
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- CN113379254A CN113379254A CN202110658575.2A CN202110658575A CN113379254A CN 113379254 A CN113379254 A CN 113379254A CN 202110658575 A CN202110658575 A CN 202110658575A CN 113379254 A CN113379254 A CN 113379254A
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Abstract
The invention discloses an automatic quality inspection system for notarization files, which relates to the technical field of notarization file quality inspection, in particular to S1 and a user uploading metadata; s2, notarization archive database; s3, comparing metadata quality inspection; s4, displaying a metadata quality inspection result; s5, comparing the content quality of the image file; s6, comparing the quantity and quality of the image files, and S7, displaying the quality inspection result of the image files. This automatic quality control system of notarization archives, this system is through input metadata, image file can be automatic with the bibliographic data in the notarization archive database, image file sample is compared, can inspect the notarization number in the metadata automatically, notarization catalogue, notarization people etc. have the mistake, inspect image file's treatment effect and content simultaneously, be favorable to replacing artifical completion quality testing work, reach the purpose of labour saving and time saving and property saving, detection efficiency and artifical detection contrast are more high-efficient, and reduce and detect required cost of labor.
Description
Technical Field
The invention relates to the technical field of quality detection of notarization files, in particular to an automatic quality detection system of notarization files.
Background
The notarization department is a certification organization which does not aim at profit, independently exercises notarization functions and undertakes civil responsibility according to law, citizens and legal people apply for notarization, and need to put forward the notarization department and fill in a notarization application form, and the applicant needs to submit corresponding certification materials to the notarization department.
Existing notarization department reserves and increment archives volume very big, and after carrying out digital processing, need invest huge manpower and financial resources and carry out the quality inspection, when carrying out the quality inspection to notarization archives, need carry out detailed inspection to every bibliographic data, every scanning image, lead to consuming time and wasting force, and be unfavorable for the archives and utilize.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides an automatic quality inspection system for notarization files, which solves the problems that the existing notarization part provided in the background art has large storage and increment file volume, huge manpower and financial resources need to be invested for quality inspection after digital processing, each piece of recorded data and each piece of scanned image need to be inspected in detail when the notarization files are inspected, time and labor are consumed, and the utilization of the files is not facilitated.
In order to achieve the purpose, the invention is realized by the following technical scheme: an automatic quality inspection system for notarization files comprises the following operation steps:
s1, uploading metadata by the user:
according to the setting of a user, obtaining metadata and an image file of the automatic quality inspection of the notarization file to be carried out;
s2, notarization archive database:
acquiring bibliographic data and an image file sample from a notarization archive database according to the notarization archive quality inspection range and content designated by a user;
s3, metadata quality inspection comparison:
comparing the metadata with metadata of the to-be-certified file for automatic quality inspection based on the recorded data in the notarization file database to check whether the metadata is wrong;
s4, displaying the metadata quality inspection result:
after the step of S3, displaying the checking result on a system interface for a user to watch;
s5, comparing the contents of the image files by quality inspection:
performing OCR recognition on the image file to be subjected to the automatic quality inspection of the notarization archive to obtain the content of the image file, comparing the content of the image file sample in the notarization archive database, and checking whether the image file is matched with the image file sample;
s6, comparing the quantity and quality of the image files:
comparing the number of the image files with the number of the image file samples in the notarization archive database, and checking whether the image files are consistent;
s7, displaying the quality inspection result of the image file:
and forming a detection report according to the detection results in the steps S5 and S6, and downloading and watching the detection report by a user.
Optionally, in step S1, the metadata to be subjected to the automatic quality inspection of the notarization file includes the following information: notarization number, notarization catalog, notarization person, contact and notarization content.
Optionally, in step S1, the image file to be subjected to the automatic quality inspection of the notarization file has the following information: image tilt, image black edge, image file size, image DPI, brightness, tilt, shadow, image file content, and number of image files.
Optionally, in the steps S1 and S2, the metadata of the notary archive to be automatically qualified corresponds to the bibliographic data in the notary archive database.
Optionally, in the steps S1 and S2, the image files to be subjected to the automatic quality inspection of the notarization archive correspond to the image file samples in the notarization archive database.
Optionally, in step S3, the bibliographic data matches the content arrangement format of the metadata, and the bibliographic data includes the following information: notarization number, notarization catalog, notarization person, contact and notarization content.
Optionally, in the step S5, the video file sample and the video file are in the same format.
Optionally, the automatic quality inspection system for the notarization files is applied to the notarization file result quality detection, and can perform quality inspection and verification on notarization file bibliographic data and digitized results.
The invention provides an automatic quality inspection system for notarization files, which has the following beneficial effects:
this automatic quality control system of notarization archives, this system is through input metadata, image file can be automatic with the bibliographic data in the notarization archive database, image file sample is compared, can inspect the notarization number in the metadata automatically, notarization catalogue, notarization people etc. have the mistake, inspect image file's treatment effect and content simultaneously, be favorable to replacing artifical completion quality testing work, reach the purpose of labour saving and time saving and property saving, detection efficiency and artifical detection contrast are more high-efficient, and reduce and detect required cost of labor.
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FIG. 1 is a schematic view of the overall process of the present invention.
Detailed Description
Referring to fig. 1, the present invention provides a technical solution: an automatic quality inspection system for notarization files comprises the following operation steps:
s1, uploading metadata by the user:
according to the setting of a user, obtaining metadata and an image file of the automatic quality inspection of the notarization file to be carried out;
s2, notarization archive database:
acquiring bibliographic data and an image file sample from a notarization archive database according to the notarization archive quality inspection range and content designated by a user;
s3, metadata quality inspection comparison:
comparing the metadata with metadata of the to-be-certified file for automatic quality inspection based on the recorded data in the notarization file database to check whether the metadata is wrong;
s4, displaying the metadata quality inspection result:
after the step of S3, displaying the checking result on a system interface for a user to watch;
s5, comparing the contents of the image files by quality inspection:
performing OCR recognition on the image file to be subjected to the automatic quality inspection of the notarization archive to obtain the content of the image file, comparing the content of the image file sample in the notarization archive database, and checking whether the image file is matched with the image file sample;
s6, comparing the quantity and quality of the image files:
comparing the number of the image files with the number of the image file samples in the notarization archive database, and checking whether the image files are consistent;
s7, displaying the quality inspection result of the image file:
and forming a detection report according to the detection results in the steps S5 and S6, and downloading and watching the detection report by a user.
In step S1, the metadata to be subjected to the automatic quality inspection of the notary file includes the following information: notarization number, notarization catalog, notarization person, contact and notarization content.
In step S1, the image file to be certified for public certificate file has the following information: image tilt, image black edge, image file size, image DPI, brightness, tilt, shadow, image file content, and number of image files.
In steps S1 and S2, the metadata of the document to be certified corresponds to the bibliographic data in the document database.
In steps S1 and S2, the image files to be automatically inspected correspond to the image file samples in the notary archive database.
In step S3, the bibliographic data matches the content arrangement format of the metadata, and the bibliographic data includes the following information: notarization number, notarization catalog, notarization person, contact and notarization content.
In step S5, the video file sample and the video file are in the same format.
An automatic quality inspection system for notarization files is applied to the notarization file result quality inspection, and can carry out quality inspection and verification on notarization file bibliographic data and digitized results.
The invention provides an automatic quality inspection system for notarization files, which has the following beneficial effects:
this automatic quality control system of notarization archives, this system is through input metadata, image file can be automatic with the bibliographic data in the notarization archive database, image file sample is compared, can inspect the notarization number in the metadata automatically, notarization catalogue, notarization people etc. have the mistake, inspect image file's treatment effect and content simultaneously, be favorable to replacing artifical completion quality testing work, reach the purpose of labour saving and time saving and property saving, detection efficiency and artifical detection contrast are more high-efficient, and reduce and detect required cost of labor.
In summary, the automatic quality inspection system for notarization files comprises the following operation steps when in use:
uploading metadata by a user: according to the setting of a user, obtaining metadata and an image file of the automatic quality inspection of the notarization file to be carried out;
notarization archive database: acquiring bibliographic data and an image file sample from a notarization archive database according to the notarization archive quality inspection range and content designated by a user;
and (3) metadata quality inspection comparison: comparing the metadata with metadata of the to-be-certified file for automatic quality inspection based on the recorded data in the notarization file database to check whether the metadata is wrong;
and displaying a metadata quality inspection result: displaying the inspection result on a system interface for a user to watch according to the inspection result;
comparing the content quality of the image file: performing OCR recognition on the image file to be subjected to the automatic quality inspection of the notarization archive to obtain the content of the image file, comparing the content of the image file sample in the notarization archive database, and checking whether the image file is matched with the image file sample;
comparing the quantity and quality of the image files: comparing the number of the image files with the number of the image file samples in the notarization archive database, and checking whether the image files are consistent;
displaying the quality inspection result of the image file: forming a detection report by the detection result for the user to download and watch;
this automatic quality control system of notarization archives, this system is through input metadata, image file can be automatic with the bibliographic data in the notarization archive database, image file sample is compared, can inspect the notarization number in the metadata automatically, notarization catalogue, notarization people etc. have the mistake, inspect image file's treatment effect and content simultaneously, be favorable to replacing artifical completion quality testing work, reach the purpose of labour saving and time saving and property saving, detection efficiency and artifical detection contrast are more high-efficient, and reduce and detect required cost of labor.
Claims (8)
1. The utility model provides an automatic quality control system of notarization archives which characterized in that: the method comprises the following operation steps:
s1, uploading metadata by the user:
according to the setting of a user, obtaining metadata and an image file of the automatic quality inspection of the notarization file to be carried out;
s2, notarization archive database:
acquiring bibliographic data and an image file sample from a notarization archive database according to the notarization archive quality inspection range and content designated by a user;
s3, metadata quality inspection comparison:
comparing the metadata with metadata of the to-be-certified file for automatic quality inspection based on the recorded data in the notarization file database to check whether the metadata is wrong;
s4, displaying the metadata quality inspection result:
after the step of S3, displaying the checking result on a system interface for a user to watch;
s5, comparing the contents of the image files by quality inspection:
performing OCR recognition on the image file to be subjected to the automatic quality inspection of the notarization archive to obtain the content of the image file, comparing the content of the image file sample in the notarization archive database, and checking whether the image file is matched with the image file sample;
s6, comparing the quantity and quality of the image files:
comparing the number of the image files with the number of the image file samples in the notarization archive database, and checking whether the image files are consistent;
s7, displaying the quality inspection result of the image file:
and forming a detection report according to the detection results in the steps S5 and S6, and downloading and watching the detection report by a user.
2. The system of claim 1, wherein the automated quality inspection system comprises: in step S1, the metadata to be subjected to the automatic quality inspection of the notarization file includes the following information: notarization number, notarization catalog, notarization person, contact and notarization content.
3. The system of claim 1, wherein the automated quality inspection system comprises: in step S1, the image file to be certified by the notary file has the following information: image tilt, image black edge, image file size, image DPI, brightness, tilt, shadow, image file content, and number of image files.
4. The system of claim 1, wherein the automated quality inspection system comprises: in the steps S1 and S2, the metadata of the notary archive to be automatically qualified corresponds to the bibliographic data in the notary archive database.
5. The system of claim 1, wherein the automated quality inspection system comprises: in the steps S1 and S2, the image files to be automatically inspected correspond to the image file samples in the notary archive database.
6. The system of claim 1, wherein the automated quality inspection system comprises: in step S3, the bibliographic data matches the content arrangement format of the metadata, and the bibliographic data includes the following information: notarization number, notarization catalog, notarization person, contact and notarization content.
7. The system of claim 1, wherein the automated quality inspection system comprises: in step S5, the video file sample and the video file are in the same format.
8. The system for automatically inspecting the quality of a notary document according to any one of claims 1-7, wherein: the automatic quality inspection system for the notarization files is applied to the notarization file result quality inspection, and can perform quality inspection and verification on notarization file bibliographic data and digitized results.
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CN115757914A (en) * | 2022-12-01 | 2023-03-07 | 青岛诺亚信息技术有限公司 | Archive metadata bibliography-free collection system |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
TW201516711A (en) * | 2013-07-05 | 2015-05-01 | Hon Hai Prec Ind Co Ltd | Computing device, system and method for verifying content consistency of files |
CN107194659A (en) * | 2017-04-26 | 2017-09-22 | 珠海泰坦软件系统有限公司 | A kind of archival digitalization copy quality automated detection method |
CN108985187A (en) * | 2018-06-27 | 2018-12-11 | 广州市南方人力资源评价中心有限公司 | A kind of method that automatic quality inspection is realized in self verification of digital archive |
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Publication number | Priority date | Publication date | Assignee | Title |
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TW201516711A (en) * | 2013-07-05 | 2015-05-01 | Hon Hai Prec Ind Co Ltd | Computing device, system and method for verifying content consistency of files |
CN107194659A (en) * | 2017-04-26 | 2017-09-22 | 珠海泰坦软件系统有限公司 | A kind of archival digitalization copy quality automated detection method |
CN108985187A (en) * | 2018-06-27 | 2018-12-11 | 广州市南方人力资源评价中心有限公司 | A kind of method that automatic quality inspection is realized in self verification of digital archive |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN115757914A (en) * | 2022-12-01 | 2023-03-07 | 青岛诺亚信息技术有限公司 | Archive metadata bibliography-free collection system |
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