CN111263091A - Intelligent verification method for video content - Google Patents
Intelligent verification method for video content Download PDFInfo
- Publication number
- CN111263091A CN111263091A CN201911329265.5A CN201911329265A CN111263091A CN 111263091 A CN111263091 A CN 111263091A CN 201911329265 A CN201911329265 A CN 201911329265A CN 111263091 A CN111263091 A CN 111263091A
- Authority
- CN
- China
- Prior art keywords
- video
- production
- comparison
- abnormal
- recorded
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/76—Television signal recording
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/76—Television signal recording
- H04N5/91—Television signal processing therefor
Landscapes
- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Television Signal Processing For Recording (AREA)
- General Factory Administration (AREA)
Abstract
The invention belongs to the technical field of production video processing, and particularly relates to an intelligent verification method for various video contents, which comprises the steps of on-site video recording, video making comparison and comparison analysis; the live video recording comprises: an angle is selected, starting recording is carried out, the whole process from video entering to video leaving is carried out on a part which can be recorded by the camera, the whole process is set as a complete processing process, the whole process from video entering to video leaving is continuously recorded for the next part, the whole process is also set as a complete processing process, repeated operation is carried out, a plurality of basically identical production videos are recorded, the defects in the prior art are overcome, the same part is utilized for carrying out same process processing, the characteristic that the whole process is basically completely overlapped is realized, intelligent verification of video contents can be realized only by comparing whether the real-time recorded videos and the set comparison videos are overlapped, and the verification is simple, high in speed and high in intelligent degree.
Description
Technical Field
The invention belongs to the technical field of production video processing, and particularly relates to an intelligent verification method for video content.
Background
The production and processing are the processing of purchasing raw materials in a large scale, standardization and production line by oneself, and the large scale, standardization and production line are the most important characteristics of the processing and manufacturing industry. The most fundamental competitive way of the process manufacturing industry, relative to the equipment manufacturing industry, is cost price competition. The conventional manufacturing industry uses the products of past labor as the labor objects, such as metallurgy, machinery, electronics, chemistry, petrochemical industry, wood processing, building materials, paper making, textile, food, leather industry. With the development of technology, the processing and manufacturing industry gradually turns to the high value-added processing and manufacturing industry utilizing high technology, new process and new material production.
However, with the development of intelligent production, the number of people in a factory is less and less, and therefore the production process needs to be monitored through a camera, but most of the existing camera monitoring has only a camera shooting function and does not have the functions of monitoring, identifying and automatically marking.
Disclosure of Invention
The invention aims to provide an intelligent video content verification method, which overcomes the defects of the prior art, utilizes the same part to carry out the same working procedure processing, has the characteristic that the whole process is basically completely overlapped, can realize the intelligent verification of the video content only by comparing whether a real-time recorded video and a set comparison video are overlapped, and has the advantages of simple verification, high speed and high intelligent degree.
In order to solve the problems, the technical scheme adopted by the invention is as follows:
an intelligent verification method for video content comprises the steps of recording a field video, making a comparison video and performing comparison analysis; the live video recording comprises: selecting an angle, starting recording, recording the whole process from the beginning of entering the video to the end of leaving the video of one part which can be recorded by the camera, setting the whole process as a complete processing process, continuously recording the whole process from the beginning of entering the video to the end of leaving the video of the next part, also setting the whole process as a complete processing process, repeating the operation, and recording a plurality of basically identical production videos.
The comparative video production and comparative analysis comprises the following steps: firstly, a first recorded production video is observed manually and then is judged whether to be abnormal or not, if the abnormal production video is abnormal, the first recorded production video is recorded again, if the abnormal production video is not abnormal, the first recorded production video is set as a standard comparison video I, then a plurality of subsequent production videos which are sequentially recorded are compared with the first production video, if the production videos are completely overlapped, the comparison video can be judged as a comparison video I, if one production video which is larger in difference with the production video is found in the comparison, the production video which is larger in difference is extracted as a comparison video II, then the operation is repeated, a plurality of subsequent production videos which are sequentially recorded in the comparison video II are compared with the comparison video I and the comparison video II at the same time, if the subsequent videos which are only overlapped with the comparison video I are only overlapped, the comparison video II is judged to be abnormal, if a plurality of subsequent videos which are overlapped with the comparison video II are generated, the, if the abnormal production is not performed, the abnormal production is performed, the third abnormal video, the fourth abnormal video and the fourth abnormal video which are different from all the previous abnormal videos are numbered in sequence, and the judging process is repeated.
Further, the selected angle is a fixed angle set manually and is not moved during a complete production video time period when the live video is recorded.
Further, the selected angle is a fixed angle set manually, and when a live video is recorded, the live video is moved within a complete production video time period, and the moving track of each time of recording a complete production video is completely consistent.
Furthermore, the one part is the same and identical part, when the parts are different, a comparison video I needs to be manually redefined according to the comparison video production and comparison analysis, and then the comparison video production and comparison analysis processes are repeated.
Furthermore, the production video and the comparison video are divided into a plurality of short videos with the same time length in the comparison process, and then the short videos in the corresponding time periods are compared one by one.
Compared with the prior art, the invention has the following beneficial effects:
according to the intelligent verification method for the video content, the same part is used for processing in the same process, the characteristic that the whole process is basically completely overlapped is achieved, the intelligent verification of the video content can be achieved only by comparing whether the real-time recorded video and the set comparison video are overlapped, and the verification method is simple, high in speed and high in intelligent degree.
Detailed Description
The technical solutions in the embodiments of the present invention are clearly and completely described below, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The invention relates to an intelligent verification method for video content, which comprises the steps of recording a field video, making a comparison video and performing comparison analysis;
the live video recording comprises: selecting an angle, starting recording, recording the whole process from the beginning of entering the video to the end of leaving the video of one part which can be recorded by the camera, setting the whole process as a complete processing process, continuously recording the whole process from the beginning of entering the video to the end of leaving the video of the next part, also setting the whole process as a complete processing process, repeating the operation, and recording a plurality of basically identical production videos.
The comparative video production and comparative analysis comprises the following steps: firstly, a first recorded production video is observed manually and then is judged whether to be abnormal or not, if the abnormal production video is abnormal, the first recorded production video is recorded again, if the abnormal production video is not abnormal, the first recorded production video is set as a standard comparison video I, then a plurality of subsequent production videos which are sequentially recorded are compared with the first production video, if the production videos are completely overlapped, the comparison video can be judged as a comparison video I, if one production video which is larger in difference with the production video is found in the comparison, the production video which is larger in difference is extracted as a comparison video II, then the operation is repeated, a plurality of subsequent production videos which are sequentially recorded in the comparison video II are compared with the comparison video I and the comparison video II at the same time, if the subsequent videos which are only overlapped with the comparison video I are only overlapped, the comparison video II is judged to be abnormal, if a plurality of subsequent videos which are overlapped with the comparison video II are generated, the, if the abnormal production is not performed, the abnormal production is performed, if the abnormal production is determined, the normal production is performed, if the abnormal production is determined, the abnormal production is performed, if the abnormal production is determined, the abnormal production is performed, and if the abnormal production is determined, the third, fourth or more new abnormal videos different from all the previous contrast videos are sequentially numbered into a third contrast video, a fourth contrast video and a fourth contrast video, namely a N contrast video, and the determination process; the selected angle is a fixed angle set manually, and is not moved in a complete production video time period when a live video is recorded; the selected angle is a fixed angle set manually, and when a field video is recorded, the selected angle is moved in a complete production video time period, and the moving tracks of a complete production video recorded each time are completely consistent; the one part is the same and identical part, when the parts are different, a comparison video I needs to be manually redefined according to the comparison video production and comparison analysis, and then the comparison video production and comparison analysis processes are repeated; the production video and the comparison video are divided into a plurality of short videos with equal time length in the comparison process, and then the short videos in corresponding time periods are compared one by one.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein.
Claims (5)
1. An intelligent verification method for video content is characterized in that: recording a field video, making a comparison video and performing comparison analysis;
the live video recording comprises: selecting an angle, starting recording, recording the whole process from the beginning of entering the video to the end of leaving the video of one part which can be recorded by the camera, setting the whole process as a complete processing process, continuously recording the whole process from the beginning of entering the video to the end of leaving the video of the next part, also setting the whole process as a complete processing process, repeating the operation, and recording a plurality of basically identical production videos.
The comparative video production and comparative analysis comprises the following steps: firstly, a first recorded production video is observed manually and then is judged whether to be abnormal or not, if the abnormal production video is abnormal, the first recorded production video is recorded again, if the abnormal production video is not abnormal, the first recorded production video is set as a standard comparison video I, then a plurality of subsequent production videos which are sequentially recorded are compared with the first production video, if the production videos are completely overlapped, the comparison video can be judged as a comparison video I, if one production video which is larger in difference with the production video is found in the comparison, the production video which is larger in difference is extracted as a comparison video II, then the operation is repeated, a plurality of subsequent production videos which are sequentially recorded in the comparison video II are compared with the comparison video I and the comparison video II at the same time, if the subsequent videos which are only overlapped with the comparison video I are only overlapped, the comparison video II is judged to be abnormal, if a plurality of subsequent videos which are overlapped with the comparison video II are generated, the, if the abnormal production is not performed, the abnormal production is performed, the third abnormal video, the fourth abnormal video and the fourth abnormal video which are different from all the previous abnormal videos are numbered in sequence, and the judging process is repeated.
2. The intelligent verification method for video content according to claim 1, wherein: the selected angle is a fixed angle set manually and does not move during a complete production video time period when recording live video.
3. The intelligent verification method for video content according to claim 1, wherein: the selected angle is a fixed angle set manually, and when a live video is recorded, the live video is moved within a complete production video time period, and the moving tracks of a complete production video recorded each time are completely consistent.
4. The intelligent video content verification method according to any one of claims 1 to 3, wherein: the one part is the same and identical part, when the parts are different, a comparison video I needs to be manually redefined according to the comparison video production and comparison analysis, and then the comparison video production and comparison analysis processes are repeated.
5. The intelligent video content verification method according to any one of claims 1 to 3, wherein: the production video and the comparison video are divided into a plurality of short videos with equal time length in the comparison process, and then the short videos in corresponding time periods are compared one by one.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911329265.5A CN111263091A (en) | 2019-12-20 | 2019-12-20 | Intelligent verification method for video content |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911329265.5A CN111263091A (en) | 2019-12-20 | 2019-12-20 | Intelligent verification method for video content |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111263091A true CN111263091A (en) | 2020-06-09 |
Family
ID=70952194
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911329265.5A Pending CN111263091A (en) | 2019-12-20 | 2019-12-20 | Intelligent verification method for video content |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111263091A (en) |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN202700832U (en) * | 2012-05-22 | 2013-01-30 | 无锡嘉华智慧交通科技有限公司 | Dynamic identification device of inferior products in production |
| CN104699028A (en) * | 2013-12-09 | 2015-06-10 | 大连鑫永工业制造有限公司 | Real-time LCM (liquid crystal module) monitoring method |
| CN106228744A (en) * | 2016-08-29 | 2016-12-14 | 苏州大学 | A kind of assembly line electric tightening rifle fail-safe system |
| JP2017010278A (en) * | 2015-06-22 | 2017-01-12 | 株式会社ブロードリーフ | Work analysis device and work analysis method |
| CN109271938A (en) * | 2018-09-19 | 2019-01-25 | 上海鸢安智能科技有限公司 | A kind of gas station's emptying Safety Monitoring Control method based on intelligent video analysis technology |
| CN109361903A (en) * | 2018-11-20 | 2019-02-19 | 左凌云 | A kind of mining real-time method for inspecting and its device |
| EP3495906A1 (en) * | 2017-12-07 | 2019-06-12 | Tetra Laval Holdings & Finance S.A. | Method of process monitoring in a machine |
-
2019
- 2019-12-20 CN CN201911329265.5A patent/CN111263091A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN202700832U (en) * | 2012-05-22 | 2013-01-30 | 无锡嘉华智慧交通科技有限公司 | Dynamic identification device of inferior products in production |
| CN104699028A (en) * | 2013-12-09 | 2015-06-10 | 大连鑫永工业制造有限公司 | Real-time LCM (liquid crystal module) monitoring method |
| JP2017010278A (en) * | 2015-06-22 | 2017-01-12 | 株式会社ブロードリーフ | Work analysis device and work analysis method |
| CN106228744A (en) * | 2016-08-29 | 2016-12-14 | 苏州大学 | A kind of assembly line electric tightening rifle fail-safe system |
| EP3495906A1 (en) * | 2017-12-07 | 2019-06-12 | Tetra Laval Holdings & Finance S.A. | Method of process monitoring in a machine |
| CN109271938A (en) * | 2018-09-19 | 2019-01-25 | 上海鸢安智能科技有限公司 | A kind of gas station's emptying Safety Monitoring Control method based on intelligent video analysis technology |
| CN109361903A (en) * | 2018-11-20 | 2019-02-19 | 左凌云 | A kind of mining real-time method for inspecting and its device |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112001228A (en) | Video monitoring warehouse in-out counting system and method based on deep learning | |
| CN109726230A (en) | A kind of method of big data analysis model prediction engine performance | |
| CN103878184A (en) | Hot rolling line material position remote tracking method | |
| CN107194668A (en) | A kind of assembling standard work force computational methods of homotype differentiation configuration server | |
| CN112687022A (en) | Intelligent building inspection method and system based on video | |
| CN111263091A (en) | Intelligent verification method for video content | |
| CN203170602U (en) | Mechanical part quality detection sorting device | |
| CN109472038A (en) | A kind of matched method and system of smelting iron and steel technological parameter tracing pattern | |
| CN106781167B (en) | Method and device for monitoring motion state of object | |
| CN105843191B (en) | A kind of binary channels filter stick formation analysis of processing quality and traceability system and its method | |
| CN111263108A (en) | Intelligent production video monitoring method | |
| CN113673334A (en) | Safety rope detection algorithm in electric power field operation | |
| US20180143943A1 (en) | Method and system for analyzing process factors affecting trend of continuous process | |
| CN111985406A (en) | Zinc slag image identification and classification method | |
| CN111539696A (en) | Two-ticket omnibearing electronic monitoring method and system | |
| CN110633641A (en) | Intelligent security pedestrian detection method, system and device and storage medium | |
| CN104458923B (en) | A kind ofly to detect in transformer each gas content in oil and to warn the method and system of value | |
| Onyeiwu et al. | In-process monitoring and quality control of hot forging processes towards Industry 4.0 | |
| Purba | Quality control of steel deformed bar product using statistical quality control (SQC) and failure mode and effect analysis (FMEA) | |
| CN113673335A (en) | Dangerous boundary-crossing behavior recognition algorithm in electric power field operation | |
| CN111259728A (en) | Video image information labeling method | |
| Gao et al. | Design and implementation of fire detection system using new model mixing | |
| CN114136992A (en) | Novel real-time online detection system and method for surface defects of strip steel | |
| Khyatin | The fourth industrial revolution | |
| Basavaraj et al. | IMPROVEMENT OF PROCESS CAPABILITY THROUGH SIX SIGMA AND ROBUST DESIGN: CASE STUDY AT AN INDIAN STEEL MANUFACTURER. |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WD01 | Invention patent application deemed withdrawn after publication | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20200609 |