CN113625603B - Security monitoring management system and method based on big data - Google Patents
Security monitoring management system and method based on big data Download PDFInfo
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- CN113625603B CN113625603B CN202110850887.3A CN202110850887A CN113625603B CN 113625603 B CN113625603 B CN 113625603B CN 202110850887 A CN202110850887 A CN 202110850887A CN 113625603 B CN113625603 B CN 113625603B
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Abstract
The invention discloses a security monitoring management system based on big data.A timing unit sends a deleting signal to a control management unit according to whether a deleting period is reached or not, the control management unit invokes monitoring information in the deleting period and generates pre-screening information, the control management unit sends a screening signal to an information screening unit, the information screening unit responds to the signal and screens video pictures which do not contain human actions according to a training model and adopts a marker for identification, the information screening unit sends a sorting signal to a big data learning unit, the big data learning unit sorts and analyzes the video pictures and then sends a secondary screening signal to a repeated screening unit, the big data learning unit sends a deleting signal to a deleting control unit, and the deleting control unit responds to the signal and deletes corresponding information and generates secondary screening information; the pressure of the storage space can be reduced, the requirement can be met by adopting a smaller storage space, the generation cost is reduced, and the problems of low storage efficiency and inconvenient use are solved.
Description
Technical Field
The invention relates to the field of security monitoring, in particular to a security monitoring management system and method based on big data.
Background
At present, the security monitoring system transmits video signals in a closed loop by using optical fibers, coaxial cables or microwaves, and forms an independent and complete system from image shooting to image display and recording. The system can reflect the monitored object in real time, vividly and truly, can replace manual work to monitor for a long time in a severe environment, and can be recorded by a video recorder. And meanwhile, the alarm system equipment alarms illegal invasion.
Patent document with application number of CN202011318075.6 discloses an intelligent security big data monitoring system, which comprises a plurality of data acquisition nodes, a data processing center, a cloud storage unit and a plurality of data access terminals; the data acquisition node is used for acquiring video monitoring data of each place and transmitting the video monitoring data to the data processing center; the data processing center is used for processing the received video monitoring data and uploading the processed data to the cloud storage unit; the cloud storage unit classifies and stores the uploaded processed data, and sets different access rights for different types of data; the data access terminal is used for accessing the data in the access authority according to the size of the access authority.
The patent document with the application number of CN201910622268.1 discloses a security monitoring system based on big data, which comprises a data source layer and a Hadoop cluster service layer; the data source layer sends real-time data to the Hadoop cluster service layer through an access gateway; the Hadoop cluster service layer comprises a plurality of cluster nodes and distributed computing units; the real-time data are distributed and stored in the cluster nodes; and the distributed computing unit decomposes the real-time data distributed and stored in different cluster nodes, performs parallel computation according to a nearby principle to obtain data elements, and sends the data elements to the client. The invention adopts a distributed storage architecture and a node distributed computing architecture, can perform a large number of video analysis and computation in parallel and use the node distributed computing architecture, can perform a large number of video analysis and computation in parallel, and is more efficient for storing and processing big data of security monitoring.
Patent document with application number of CN202010712858.6 discloses a big data security monitoring system, comprising: and a data acquisition module: the method comprises the steps of acquiring security monitoring data, wherein the acquired security monitoring data comprise video monitoring data, audio monitoring data and monitoring position positioning data; the data preprocessing module is used for preprocessing the acquired security monitoring data; removing abnormal bad point data existing in security monitoring original data; smoothing or fitting security monitoring data, and uploading the obtained security data to a cloud platform processing module and a blockchain platform processing module through a gateway; the block chain platform processing module is used for encrypting and analyzing the security data; the cloud platform processing module is used for carrying out distributed storage on security data through a dock mirror technology and forming mirror image persistence storage in a distributed file system of a dock warehouse.
The above patent documents disclose that the security monitoring system in the prior art has the following defects:
1. the security monitoring system on the market generally has lower information storage efficiency, and if the security monitoring system adopts a full storage mode for storing various information, the security monitoring system has higher requirements on a storage memory and higher cost.
2. Some security monitoring systems on the market adopt a regular storage mode, and the information is deleted by a fixed period, so that although the storage space can be saved, the storage of important information is problematic, and the use is inconvenient.
Disclosure of Invention
In order to overcome the defects of the prior art, one of the purposes of the invention is to provide a security monitoring management system based on big data, which can solve the problems of low storage efficiency and inconvenient use.
One of the purposes of the invention is realized by adopting the following technical scheme:
the security monitoring management system based on big data comprises a monitoring system, a control management unit, a big data learning unit, a storage unit, a timing unit, an information screening unit, a repeated screening unit and a deletion control unit, wherein the monitoring system is used for collecting video monitoring information and generating monitoring data, and the monitoring system is respectively connected with the control management unit and the big data learning unit; the big data learning unit is used for learning the processing of the monitoring data according to the control management unit and generating a training model, and continuous training is carried out until the degree of automatic processing is reached; the storage unit is used for storing monitoring data and is respectively connected with the control management unit and the deletion control unit; the timing unit is used for calculating a deleting period, the timing unit is respectively connected with the control management unit, the information screening unit and the repeated screening unit, the information screening unit is used for screening important information and identification in one period, the repeated screening unit is used for screening the important information and identification in a plurality of periods, and the deleting control unit is respectively connected with the information screening unit and the repeated screening unit and used for deleting information in the storage unit.
Further, the timing unit comprises a period setting unit and a period calculating unit, the period setting unit and the period calculating unit are respectively connected with the control management unit, the period setting unit is used for planning the length of the deleting period, and the period calculating unit is used for marking that the current time is in the deleting period.
Further, the monitoring system comprises a plurality of monitoring ends, the monitoring ends are connected with the control management unit and the storage unit, the monitoring ends are provided with GPS positioners, the GPS positioners are provided with identifiers, and the GPS positioners are connected with the control management unit in a communication mode.
Further, the storage unit is provided with a basic information storage unit and a screening information storage unit, the basic information storage unit is connected with the screening information storage unit, and the basic information storage unit and the screening information storage unit are respectively connected with the information screening unit, the repeated screening unit and the deletion control unit.
Further, the storage space of the basic information storage unit is 2-5 times that of the screening information storage unit.
Further, the information screening unit is provided with a video recognition unit for recognizing important information, and the video recognition unit establishes connection with the big data learning unit.
A security monitoring management method based on big data is applied to a security monitoring management system based on big data, and comprises the following steps:
information collection: the monitoring system collects various monitored information and generates information to be stored;
information pre-storing step: the information to be stored is stored in the storage unit through the control management unit, and information to be screened is generated;
a primary deleting step: the big data learning unit performs primary screening and identification on the information to be screened according to the training habit set by people, and the deletion control unit deletes the identified information to generate primary screening data;
and a secondary deleting step: the timing unit detects whether a set deleting period is reached, if yes, the information screening unit performs secondary screening and identification, and the deleting control unit deletes the identified information to generate secondary screening data;
three deletion steps: the timing unit sets a rescreening period, detects whether the set rescreening period is reached, if so, the information screening unit performs tertiary screening and identification, and the deletion control unit deletes the identified information to generate tertiary screening data.
Further, in the preliminary deletion step, the big data learning unit screens out and deletes the screen that is stationary for a long time.
Further, in the secondary deletion step, the information filtering unit identifies and deletes the video containing no number, person, animal.
Further, in the third deletion step, the information filtering unit identifies and deletes the video that does not contain the number.
Compared with the prior art, the invention has the beneficial effects that:
the monitoring system is respectively connected with the control management unit and the big data learning unit; the big data learning unit is used for learning the processing of the monitoring data according to the control management unit and generating a training model, and continuous training is carried out until the degree of automatic processing is reached; the storage unit is used for storing monitoring data and is respectively connected with the control management unit and the deletion control unit; the timing unit is used for calculating a deleting period, the timing unit is respectively connected with the control management unit, the information screening unit and the repeated screening unit, the information screening unit is used for screening important information and identification in one period, the repeated screening unit is used for screening the important information and identification in a plurality of periods, and the deleting control unit is respectively connected with the information screening unit and the repeated screening unit and used for deleting information in the storage unit. On one hand, the big data learning unit, the information screening unit and the repeated screening unit are adopted to carry out continuous screening of video monitoring information, so that the pressure of a storage space can be reduced, the requirement can be met by adopting a smaller storage space, the generation cost is reduced, on the other hand, the deletion rate of important information can be reduced by adopting a mode of setting a deletion period to carry out continuous repeated deletion, the information storage efficiency is improved, the information screening efficiency and the information screening speed of security information are further improved, and the problems of lower storage efficiency and inconvenience in use are solved.
The foregoing description is only an overview of the present invention, and is intended to be implemented in accordance with the teachings of the present invention, as well as the preferred embodiments thereof, together with the following detailed description of the invention, given by way of illustration only, together with the accompanying drawings.
Drawings
FIG. 1 is a block diagram of a security monitoring management system based on big data according to a preferred embodiment of the present invention;
FIG. 2 is a block diagram of the operation of the monitoring system;
FIG. 3 is a block diagram of the structure of the big data learning unit operation;
fig. 4 is a flowchart of the operation of the information screening unit, the repeated screening unit.
In the figure: 100. a security monitoring management system based on big data; 110. a monitoring system; 120. a control management unit; 130. a big data learning unit; 140. a storage unit; 150. a timing unit; 160. an information screening unit; 170. repeating the screening unit; 180. and deleting the control unit.
Detailed Description
The present invention will be further described with reference to the accompanying drawings and detailed description, wherein it is to be understood that, on the premise of no conflict, the following embodiments or technical features may be arbitrarily combined to form new embodiments.
It will be understood that when an element is referred to as being "fixed to" another element, it can be directly on the other element or intervening elements may also be present. When a component is considered to be "connected" to another component, it can be directly connected to the other component or intervening components may also be present. When an element is referred to as being "disposed on" another element, it can be directly on the other element or intervening elements may also be present. The terms "vertical," "horizontal," "left," "right," and the like are used herein for illustrative purposes only.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used herein in the description of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. The term "and/or" as used herein includes any and all combinations of one or more of the associated listed items.
Referring to fig. 1 to 4, a security monitoring management system 100 based on big data includes a monitoring system 110, a control management unit 120, a big data learning unit 130, a storage unit 140, a timing unit 150, an information screening unit 160, a repeated screening unit 170, and a deletion control unit 180, wherein the monitoring system 110 is used for collecting video monitoring information and generating monitoring data, and the monitoring system 110 is respectively connected with the control management unit 120 and the big data learning unit 130; the control management unit 120 sends a monitoring instruction to the monitoring system 110, the monitoring system 110 executes the monitoring instruction and performs real-time monitoring, the monitoring system 110 generates monitoring data and sends the monitoring data to the storage unit 140, and the storage unit 140 sends a storage completion instruction to the control management unit 120.
The control management unit 120 sends a training instruction to the big data learning unit 130, the big data learning unit 130 executes the training instruction and processes, learns and generates a training model of the monitoring data, the big data learning unit 130 sends the training model to the control management unit 120, the big data learning unit 130 is used for learning and generating the training model according to the processing of the monitoring data by the control management unit 120, and continuous training is performed until the degree of automatic processing is reached; the storage unit 140 is configured to store monitoring data, and the storage unit 140 is connected to the control management unit 120 and the deletion control unit 180, respectively; the timing unit 150 is configured to calculate a deletion period, the timing unit 150 is respectively connected with the control management unit 120, the information filtering unit 160, and the repeated filtering unit 170, the information filtering unit 160 is configured to filter out important information and identifiers in one period, the repeated filtering unit 170 is configured to filter out important information and identifiers in multiple periods, and the deletion control unit 180 is respectively connected with the information filtering unit 160, the repeated filtering unit 170, and is configured to delete information in the storage unit 140.
Specifically, the control management unit 120 performs integrated analysis on the information of the monitoring system 110 and sends a control instruction to the storage unit 140, the timing unit 150, the information filtering unit 160, the repeating screening unit 170 and the deleting control unit 180, the timing unit 150 includes a period setting unit and a period calculating unit, the period setting unit sets a timing period T, the period calculating unit monitors whether the timing period T is reached and transmits a signal to the deleting control unit 180 to delete corresponding information, the control management unit 120 sends a period setting instruction to the period setting unit, the period setting unit sets the timing period T and sends the timing period T to the control management unit 120, the control management unit 120 sends a time calculating instruction to the period calculating unit, the period calculating unit sends an expiration signal to the control management unit 120 when the timing period T is reached, the control management unit 120 sends an information filtering signal to the information filtering unit 160, the information filtering unit 160 filters, identifies deleting information and sends a deleting instruction to the deleting control unit 180 to the control management unit 120, the control management unit 120 sends a re-filtering instruction to the repeating screening unit 170, the filtering unit 170 sends the deleting information, the deleting information filtering unit 170 identifies deleting information to the deleting information and sends the information filtering control unit 180 to the deleting control unit 180 to the information to the control unit 180 to complete the information filtering unit 180 to send the deleting information to the control unit 180 to the information.
On the one hand, the big data learning unit 130, the information screening unit 160 and the repeated screening unit 170 are adopted to carry out continuous screening of video monitoring information, so that the pressure of a storage space can be reduced, the requirement can be met by adopting a smaller storage space, the generation cost is reduced, on the other hand, the deletion rate of important information can be reduced by adopting a mode of setting a deletion period to carry out continuous repeated deletion, the information storage efficiency is improved, the information screening efficiency and the information screening speed of security information are further improved, and the problems of lower storage efficiency and inconvenience in use are solved.
Preferably, the timing unit 150 includes a period setting unit and a period calculating unit, where the period setting unit and the period calculating unit are respectively connected to the control management unit 120, the period setting unit is configured to plan a length of a deletion period, and the period calculating unit identifies that the current time is in the deletion period. The purpose of the setting period setting unit and the period calculating unit is that: the control management unit 120 and the big data learning unit 130 can plan different deletion periods according to different months or years, and the utility ratio is improved.
Preferably, the monitoring system 110 includes a plurality of monitoring terminals, the monitoring terminals are connected with the control management unit 120 and the storage unit 140, the monitoring terminals are provided with a GPS locator, the GPS locator is provided with a marker, and the GPS locator is connected with the control management unit 120 in a communication manner. The control management unit 120 sends a position instruction to the GPS locator, the GPS locator sends position information to the control management unit 120, specifically, the control management unit 120 sends an identification instruction to the identifier, the identifier identifies the position information, and the purpose of setting the GPS locator is that: the problem of information output mixing is solved, and the source of the current video information can be directly found out.
Preferably, the storage unit 140 is provided with a basic information storage unit 140 and a filtering information storage unit 140, the basic information storage unit 140 is connected with the filtering information storage unit 140, and the basic information storage unit 140 and the filtering information storage unit 140 are respectively connected with the information filtering unit 160, the repeated filtering unit 170 and the deletion control unit 180. The storage space of the basic information storage unit 140 is 2-5 times that of the filtering information storage unit 140. The basic information storage unit 140 and the screening information storage unit 140 are adopted for hierarchical storage, so that the storage efficiency is improved.
Preferably, the information filtering unit 160 is provided with a video recognition unit for recognizing important information, and the video recognition unit establishes a connection with the big data learning unit 130.
A security monitoring management method based on big data is applied to a security monitoring management system based on big data, and comprises the following steps:
step S101, a monitoring system collects real-time video pictures of all monitoring terminals and generates real-time monitoring information, and the real-time monitoring information is stored in a storage unit;
step S102, an input unit sends a period setting instruction to a period setting unit according to user requirements;
in step S103, the period setting unit sets the deletion period T0.
In step S104, the period calculation unit determines whether the deletion period T0 is reached.
In step S105, the period calculating unit sends a deletion signal to the control management unit, and the control management unit receives and responds to the deletion signal and retrieves the monitoring information in the deletion period and generates pre-screening information.
Step S106, screening out video pictures which do not contain human body actions according to the training model and identifying the video pictures by adopting a marker;
step S107, adjusting a training model, and again, not including a video picture of human body actions;
and S108, sorting and analyzing whether the identified signals meet the requirements.
Step S109, deleting the identified information to generate secondary screening information.
In step S1010, the screening criteria are adjusted to reconfirm the criteria including limb contact.
In step S1011, the video that does not include the limb contact in the secondary screening information is identified.
Step S1012, the identified signals are rearranged and analyzed again to see whether the signals meet the requirements.
In step S1013, the deletion control unit deletes the identified information.
In step S1014, the big data learning unit completes learning of the training and screening criteria.
The above embodiments are only preferred embodiments of the present invention, and the scope of the present invention is not limited thereto, but any insubstantial changes and substitutions made by those skilled in the art on the basis of the present invention are intended to be within the scope of the present invention as claimed.
Claims (2)
1. The security monitoring management system based on big data is characterized by comprising:
the monitoring system is used for collecting real-time video pictures of all monitoring terminals and generating real-time monitoring information, and is connected with the storage unit and stores the real-time monitoring information into the storage unit;
the control management unit is used for receiving, correspondingly processing information feedback of each unit and sending out information instructions;
the big data learning unit is used for sorting, analyzing and screening the video information and checking whether the video information meets the requirements;
the storage unit is used for storing video information of the monitoring system;
the timing unit is used for setting a deleting period and calculating whether the timing period is reached or not;
the information screening unit is used for screening out video pictures which do not contain human actions and identifying the video pictures by adopting a marker;
the repeated screening unit is used for screening out video pictures which do not contain limb contact and identifying the video pictures by adopting a marker;
the deletion control unit is used for executing the deletion instruction sent by the information screening unit and the repeated screening unit and deleting the video information marked in the storage unit;
the timing unit sends a deleting signal to the control management unit according to whether the deleting period is reached, the control management unit receives, correspondingly and invokes monitoring information in the deleting period and generates pre-screening information, the control management unit sends a screening signal to the information screening unit, the information screening unit responds to the signal and screens video images which do not contain human actions according to a training model and marks the video images by using a marker, the information screening unit sends a sorting signal to the big data learning unit, the big data learning unit responds to the signal and sorts and analyzes the signals and then sends a secondary screening signal to the repeated screening unit, the big data learning unit sends a deleting signal to the deleting control unit, and the deleting control unit responds to the signal and deletes the corresponding information and generates secondary screening information; the system comprises a timing unit, a control management unit, a timing unit, a control unit, a monitoring system and a video learning unit, wherein the timing unit is used for repeatedly screening a video mark which does not contain limb contact and deleting the video mark, the timing unit comprises a period setting unit and a period calculating unit, the period setting unit and the period calculating unit are respectively connected with the control management unit, the period setting unit is used for setting up the length of a deleting period, the period calculating unit mark is in the deleting period, the monitoring system comprises a plurality of monitoring ends, the monitoring ends are connected with the control management unit and a storage unit, the monitoring ends are provided with a GPS (global positioning system) locator, the GPS locator is provided with a marker, the GPS locator is connected with the control management unit in a communication mode, the storage unit is provided with a basic information storage unit and a screening information storage unit, the basic information storage unit is connected with the screening information storage unit, the screening information storage unit is respectively connected with the information screening unit, the repeated screening unit and the deleting control unit, the storage space of the basic information storage unit is 2-5 times that of the screening information storage unit, the information screening information storage unit is provided with a video identification unit used for identifying important information, and the video identification unit is connected with the large data learning unit.
2. The security monitoring management method based on big data is applied to the security monitoring management system based on big data as claimed in claim 1, and is characterized by comprising the following steps:
information collection: the monitoring system collects real-time video pictures of all monitoring terminals, generates real-time monitoring information and stores the real-time monitoring information into the storage unit;
a period setting step: the input unit sends a period setting instruction to the period setting unit according to the user demand, and the period setting unit sets a deletion period T0;
a timing step: the period calculating unit starts timing, and if the period calculating unit judges that the deleting period is reached, the next step is executed;
a primary deleting step: the period calculation unit sends a deletion signal to the control management unit, the control management unit receives and responds to the deletion signal, and invokes monitoring information in a deletion period to generate pre-screening information, and the information screening unit screens video pictures which do not contain human body actions according to the training model and adopts a marker for marking; the big data learning unit screens out and deletes the pictures which are still for a long time;
a primary judging step: the big data learning unit analyzes and sorts whether the identified information meets the requirement, if so, the next step is carried out, and if not, the training model is adjusted to be screened again;
a primary deleting step: the big data learning unit sends a deleting instruction to the deleting control unit, and the deleting control unit receives, responds and executes the deleting instruction, deletes the corresponding information and generates secondary screening information;
and (3) a secondary screening step: the repeated screening unit screens out videos which do not contain limb contact from the secondary screening information and marks out the videos;
and a secondary judging step: the big data learning unit analyzes and sorts whether the identified information meets the requirement, if so, the next step is carried out, and if not, the screening standard is adjusted to carry out rescreening; the information screening unit deletes the video identifications which do not contain numbers, figures and animals;
and a secondary deleting step: the deletion control unit deletes the identified information.
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Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1187279A (en) * | 1995-06-07 | 1998-07-08 | 科罗拉多电信公司 | Intelligent memory management system and method |
| CN103024348A (en) * | 2012-11-06 | 2013-04-03 | 前卫视讯（北京）科技发展有限公司 | Operation and maintenance management system of video monitoring |
| CN105791747A (en) * | 2014-12-18 | 2016-07-20 | 中兴通讯股份有限公司 | Video monitoring method and apparatus |
| CN106557760A (en) * | 2016-11-28 | 2017-04-05 | 江苏鸿信系统集成有限公司 | Monitoring system is filtered in a kind of image frame retrieval based on video identification technology |
| CN107277470A (en) * | 2017-08-10 | 2017-10-20 | 四川天翼网络服务有限公司 | A kind of network-linked management method and digitlization police service linkage management method |
| CN107358190A (en) * | 2017-07-07 | 2017-11-17 | 广东中星电子有限公司 | A kind of image key area management method and device |
| CN207010850U (en) * | 2017-06-06 | 2018-02-13 | 李雷 | Monitor filter |
| CN108111817A (en) * | 2017-12-23 | 2018-06-01 | 合肥弹刚信息科技有限公司 | The emergent monitoring system and its method of a kind of vehicle-carried mobile video |
| CN109509190A (en) * | 2018-12-19 | 2019-03-22 | 中国科学院重庆绿色智能技术研究院 | Video monitoring image screening technique, device, system and storage medium |
| CN109831650A (en) * | 2019-02-18 | 2019-05-31 | 中国科学院半导体研究所 | A kind of processing system and method for monitor video |
| CN110062212A (en) * | 2019-05-22 | 2019-07-26 | 广东慧讯智慧科技有限公司 | Video monitoring method, device, system, equipment and computer readable storage medium |
| CN110569656A (en) * | 2019-09-09 | 2019-12-13 | 金鹏电子信息机器有限公司 | big data resource management system and method applied to smart city |
| CN110602453A (en) * | 2019-09-09 | 2019-12-20 | 金鹏电子信息机器有限公司 | Internet of things big data intelligent video security monitoring system |
| CN111131786A (en) * | 2019-12-30 | 2020-05-08 | 安徽长泰信息安全服务有限公司 | Video monitoring storage system applying cloud storage |
| CN111601108A (en) * | 2020-05-26 | 2020-08-28 | 李云祥 | Monitoring video processing method and device and video monitoring terminal |
Family Cites Families (29)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2006163746A (en) * | 2004-12-06 | 2006-06-22 | Pioneer Electronic Corp | Information processor, its method, and its program |
| WO2010103569A1 (en) * | 2009-03-11 | 2010-09-16 | Hitachi, Ltd. | Storage system and control method for the same, and program |
| US8954399B1 (en) * | 2011-04-18 | 2015-02-10 | American Megatrends, Inc. | Data de-duplication for information storage systems |
| CN103051883A (en) * | 2013-01-08 | 2013-04-17 | 常州先进制造技术研究所 | Intelligent monitoring system of scientific and technological community |
| CN104424109B (en) * | 2013-09-09 | 2020-03-24 | 联想(北京)有限公司 | Information processing method and electronic equipment |
| JP6234146B2 (en) * | 2013-10-04 | 2017-11-22 | キヤノン株式会社 | RECORDING CONTROL DEVICE, RECORDING CONTROL METHOD, AND PROGRAM |
| CN104679914A (en) * | 2013-11-29 | 2015-06-03 | 大连君方科技有限公司 | Data analysis and management system |
| CN104680555B (en) * | 2015-02-13 | 2018-04-13 | 电子科技大学 | Cross the border detection method and out-of-range monitoring system based on video monitoring |
| CN105468755A (en) * | 2015-11-27 | 2016-04-06 | 东方网力科技股份有限公司 | Video screening and storing method and device |
| CN108073355B (en) * | 2016-11-15 | 2020-03-17 | 杭州海康威视数字技术股份有限公司 | Data storage and deletion method and device |
| CN106778612A (en) * | 2016-12-16 | 2017-05-31 | 合肥寰景信息技术有限公司 | A kind of crossing special car recognition detection system based on video analysis |
| CN107025267A (en) * | 2017-03-01 | 2017-08-08 | 国政通科技股份有限公司 | Based on the method and system for extracting Video Key logical message retrieval video |
| CN107613250B (en) * | 2017-09-22 | 2019-07-26 | 南京财经大学 | Data screening method of security monitoring system |
| CN108021653B (en) * | 2017-12-01 | 2021-08-03 | 湖州师范学院 | Data screening method of security monitoring system |
| US10860554B2 (en) * | 2018-03-26 | 2020-12-08 | Microsoft Technology Licensing, Llc | Integrated disposition for file retention management |
| US11012696B2 (en) * | 2018-05-03 | 2021-05-18 | Dell Products L.P. | Reducing an amount of storage used to store surveillance videos |
| CN109460744B (en) * | 2018-11-26 | 2021-08-27 | 南京邮电大学 | Video monitoring system based on deep learning |
| CN109934176B (en) * | 2019-03-15 | 2021-09-10 | 艾特城信息科技有限公司 | Pedestrian recognition system, recognition method, and computer-readable storage medium |
| CN110209874B (en) * | 2019-04-24 | 2021-08-20 | 北京奇艺世纪科技有限公司 | Information processing method, information processing device, electronic equipment and storage medium |
| CN111212263B (en) * | 2019-12-26 | 2022-12-13 | 视联动力信息技术股份有限公司 | Method and device for filtering monitoring resource data |
| CN110969560A (en) * | 2019-12-26 | 2020-04-07 | 安徽唯诗杨信息科技有限公司 | Security monitoring management platform based on big data |
| CN111209435A (en) * | 2020-01-10 | 2020-05-29 | 上海摩象网络科技有限公司 | Method and device for generating video data, electronic equipment and computer storage medium |
| CN111274441A (en) * | 2020-02-26 | 2020-06-12 | 赛特斯信息科技股份有限公司 | System and method for realizing maritime video data screening processing based on deep learning and target detection |
| CN111401161A (en) * | 2020-03-04 | 2020-07-10 | 青岛海信网络科技股份有限公司 | Intelligent building management and control system for realizing behavior recognition based on intelligent video analysis algorithm |
| CN111401288A (en) * | 2020-03-24 | 2020-07-10 | 重庆德生鼎盛实业发展有限公司 | Fixed scene monitoring system for engineering project operation |
| CN111783568B (en) * | 2020-06-16 | 2022-07-15 | 厦门市美亚柏科信息股份有限公司 | Pedestrian re-identification method and device based on belief learning and storage medium |
| CN112601052B (en) * | 2020-12-10 | 2023-04-07 | 四川警察学院 | Video resource integration system applied to internal sharing platform |
| CN112672010A (en) * | 2020-12-17 | 2021-04-16 | 珍岛信息技术（上海）股份有限公司 | Video generation system based on face recognition |
| CN112784740B (en) * | 2021-01-21 | 2022-10-04 | 上海市公安局刑事侦查总队 | Gait data acquisition and labeling method and application |
-
2021
- 2021-07-27 CN CN202110850887.3A patent/CN113625603B/en active Active
Patent Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1187279A (en) * | 1995-06-07 | 1998-07-08 | 科罗拉多电信公司 | Intelligent memory management system and method |
| CN103024348A (en) * | 2012-11-06 | 2013-04-03 | 前卫视讯（北京）科技发展有限公司 | Operation and maintenance management system of video monitoring |
| CN105791747A (en) * | 2014-12-18 | 2016-07-20 | 中兴通讯股份有限公司 | Video monitoring method and apparatus |
| CN106557760A (en) * | 2016-11-28 | 2017-04-05 | 江苏鸿信系统集成有限公司 | Monitoring system is filtered in a kind of image frame retrieval based on video identification technology |
| CN207010850U (en) * | 2017-06-06 | 2018-02-13 | 李雷 | Monitor filter |
| CN107358190A (en) * | 2017-07-07 | 2017-11-17 | 广东中星电子有限公司 | A kind of image key area management method and device |
| CN107277470A (en) * | 2017-08-10 | 2017-10-20 | 四川天翼网络服务有限公司 | A kind of network-linked management method and digitlization police service linkage management method |
| CN108111817A (en) * | 2017-12-23 | 2018-06-01 | 合肥弹刚信息科技有限公司 | The emergent monitoring system and its method of a kind of vehicle-carried mobile video |
| CN109509190A (en) * | 2018-12-19 | 2019-03-22 | 中国科学院重庆绿色智能技术研究院 | Video monitoring image screening technique, device, system and storage medium |
| CN109831650A (en) * | 2019-02-18 | 2019-05-31 | 中国科学院半导体研究所 | A kind of processing system and method for monitor video |
| CN110062212A (en) * | 2019-05-22 | 2019-07-26 | 广东慧讯智慧科技有限公司 | Video monitoring method, device, system, equipment and computer readable storage medium |
| CN110569656A (en) * | 2019-09-09 | 2019-12-13 | 金鹏电子信息机器有限公司 | big data resource management system and method applied to smart city |
| CN110602453A (en) * | 2019-09-09 | 2019-12-20 | 金鹏电子信息机器有限公司 | Internet of things big data intelligent video security monitoring system |
| CN111131786A (en) * | 2019-12-30 | 2020-05-08 | 安徽长泰信息安全服务有限公司 | Video monitoring storage system applying cloud storage |
| CN111601108A (en) * | 2020-05-26 | 2020-08-28 | 李云祥 | Monitoring video processing method and device and video monitoring terminal |
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