CN201699880U - Distributed intelligent video searching system - Google Patents
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- CN201699880U CN201699880U CN2010201924396U CN201020192439U CN201699880U CN 201699880 U CN201699880 U CN 201699880U CN 2010201924396 U CN2010201924396 U CN 2010201924396U CN 201020192439 U CN201020192439 U CN 201020192439U CN 201699880 U CN201699880 U CN 201699880U
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Abstract
The utility model relates to a distributed intelligent video searching system, which comprises a monitor center and one to n intelligent front ends with unique addresses. A video processing system of each intelligent front end comprises a microprocessor, a data compression module, a memory and a video analyzing module for storing N rules of image characteristics of events required to be acquired. A microprocessor analyzes real-time videos according to the rules, and video data matching with the rules is adopted as events to be classified and stored after being compressed. Each intelligent front end is connected with the back-end monitor center via a network. The monitoring rules are determined at first, each front recognizes, classifies and stores videos at real time according to the rules, the monitor center transmits searching commands numbered in a time and event manner, each front end searches results according to the commands and then sends the results to the monitor center, and the monitor center requires the front ends to transmit required video data according requirements of the results. The distributed intelligent video searching system can realize fast video searching based on events, saves large quantities of storage space and transmission cost, and greatly reduces searching workloads.
Description
(1) technical field
The utility model relates to technical field of video monitoring, is specially a kind of distribution type intelligent video searching system.
(2) background technology
At key positions such as bank, crossing, school gate, storehouses rig camera is installed at present, the scene video image at each control point of real time record, this supervisory control system of being made up of the video camera that is distributed in each point is for pursuing the offender and analyzing the data of the preciousness that the burst accident occurrence cause provides.But the used video camera overwhelming majority of existing video monitoring is traditional common camera, can only simply finish the function of video acquisition; The also just simple video recording of its storage.Web camera has now appearred for the ease of storage and analysis, as the patent No. is 032576617 Chinese utility model patent " embedded IP network intelligence video camera ", and its video camera that provides can be sent to the control and command center by the Internet at a distance with vision signal.The Long-distance Control and the data that have solved video camera are transmitted automatically, and centralized monitor has been brought into play the effect of rig camera network, are convenient to long-range timely grasp incident scene information.
But the transmission of massive video data, storage still will expend a large amount of Internet resources and memory space.The image of certain type or particular event be in the video data of magnanimity, seek, cost great amount of manpower and time needed.
The patent No. is that the video search scheme that 200610140493 Chinese utility model patent " content-based video search dispatching system " provides is that the video frequency program of each database needs multiple index notes such as programm name, PD program director, program performer at the multimedia database through processing.Powerless for a large amount of continuously monitor videos.
Certain City Traffic Monitor System for example, 800 video cameras are equipped with in the whole city at each traffic main artery, crossing.In order in time to find and the processing accident, need to arrange numerous monitor staff's moment view screens to change, could monitor in real time the video pictures that hundreds of video cameras send.But, be difficult to effective monitoring in 24 hours because of the carelessness omission unavoidably can take place people's physiology and mental fatigue.When certain violating the regulations video recording that needs are inquired about the generation of certain day certain period, manually all video recordings of this period of fast forwarding and fast rewinding browse queries, checking, pirate recordings, spent manpower and time are difficult to calculate, and also might incur loss through delay the valuable opportunity of solving a case.
In fact, the overwhelming majority is to belong to normal condition in the picture of monitoring, if the special frame of energy Real time identification burst accident, the classification storage not only can subtract memory space and transmission quantity greatly, also can search for automatically.
(3) utility model content
The purpose of this utility model is to disclose a kind of distribution type intelligent video searching system, the Surveillance center of this system is distributed in the intelligent front end of each control point through Internet connection, intelligent front end has the event analysis module to video data identification, the rule of the characteristics of image the when anomalous event that this control point of its stored need be caught takes place, each intelligent front end is stored legal video data as event classification, Surveillance center can Case Number, time etc. is the corresponding video data of indexed search.
Distribution type intelligent video searching system of the present utility model comprises Surveillance center and is distributed in 1～n platform intelligent front end of each control point that each intelligent front end has unique network address and is stored in Surveillance center.Every intelligent front end comprises camera body and camera lens, video acquisition module, processing system for video and the power module that is installed in the casing, and power module is connected with each parts provides required electric energy; Video acquisition module comprises photoelectric switching circuit, mould/number conversion circuit, and processing system for video comprises microprocessor and the data compressing module that is attached thereto, memory, and the output of video acquisition module connects the microprocessor of processing system for video.The light signal that camera lens obtains is converted to digital video signal through video acquisition module, sends into processing system for video, deposits memory after data compression in.
The processing system for video of each intelligent front end also has analysis module and network interface, the N bar rule of the characteristics of image the when anomalous event that this control point of analysis module stored need be caught takes place.The video pictures that meets certain bar rule is decided to be certain incident, and this incident is a numbering with regular number.The real-time video picture that the rule analysis that microprocessor is stored according to analysis module obtains, the video data that will meet rule request are as incident, and the classification of compression back is stored in memory.Each intelligent front end connects the Surveillance center of rear end by transmission network through network interface.
Each circuit of the video acquisition module of each intelligent front end, power module and processing system for video is all integrated to be installed in the casing.
Surveillance center connects one or more user terminals through network, and each user terminal can be assigned instruction to each intelligent front end.
The using method of distribution type intelligent video searching system of the present utility model is as follows:
I, definite monitoring rule
Analyze the image when relatively each intelligent front end camera lens of supervisory control system normal picture within the vision is with the generation abnormal conditions, the N bar rule of the characteristics of image when obtaining anomalous event that this intelligent front end need catch and taking place is stored in the analysis module of intelligent front end;
Described rule is the people that occurs or the specific image of car or thing in certain virtual region of camera coverage scope.
Can set different rules according to different monitoring purposes, as the monitoring after turning off the light for night in the prison of prison, rule can be the convict and lies on a bed according to the rules and be normal condition, when sitting up, the convict exceeds schedule time, or in prison, pace up and down and be abnormal conditions, store as incident when occurring triggering microprocessor when unusual; Environmental administration is that abnormal conditions are stored as incident when rule can be smoke stack emission black smoke or tobacco to the monitoring of enterprise discharging, in order to the record discharge in violation of regulations smog that exceeds standard; The monitoring of traffic intersection, rule can be red interval and cross left lateral vehicle on the vehicle image of stop line, the right lateral line, over-speed vehicles etc., in order to record make a dash across the red light, illegally turn left, the vehicle of traffic violation such as hypervelocity.
II, identification and classification storage
The camera lens picked-up real-time video picture of each intelligent front end is sent into video acquisition module, through opto-electronic conversion and analog-to-digital conversion, obtain digital video signal and send into processing system for video, the real-time video picture that the rule analysis that microprocessor is stored according to analysis module obtains, the video data that will meet certain bar rule is as certain incident, this incident serves as that numbering compression back classification is stored in memory with regular number, and it is the classification video database of index that memory built stands with time and 1～N Case Number;
III, Surveillance center send search instruction
Surveillance center sends search instruction by the network address to the intelligent front end of one or more intelligent front ends, and search instruction is or the Boolean logic formula of several compositions of time and 1～N Case Number;
IV, by instruction search
Receive the intelligent front end of search instruction and the index of the classification video database in the memory is searched for, send the network address of additional this machine of hit results back to Surveillance center by instruction;
V, video data transmit
Surveillance center sends the video data that data movement instruction requires to send some or a plurality of periods, some or a plurality of Case Numbers according to the network address to relevant intelligent front end, can be referred to as program request, this intelligent front end sends to Surveillance center with the associated video data.
In the above-mentioned steps II, be stored in memory after all videos video information process data compressing module compression that microprocessor also can be selected video acquisition module is sent here, after reaching setting-up time, delete video data by the order of the deletion earlier that deposits in earlier.This memory keeps the whole Video Documents that obtain in the certain hour, takes place as special circumstances, can be used for manual queries.Promptly no longer keep behind the setting-up time.
Each intelligent front end is the hits after the search of this instruction according to the hit results of instruction search in the above-mentioned steps IV, or the hits and the tabulation of individual sectional drawing that comprises sequence number, time and this incident video of hit event.Individual sectional drawing of incident video is called the incident snapshot.
In above-mentioned steps III, the V, the user terminal that Surveillance center connects can send search instruction and move instruction to each intelligent terminal.
The advantage of the utility model distributed video intelligent searching system is: be that the classification video database of index can be realized fast based on the video search of incident 1, with incident and time, solved need in the legacy system to expend a large amount of manpowers and time just achievable event record search problem; 2, the storage of classifying of the feature picture that can discern the monitoring of relevant needs automatically transmits, and has saved a large amount of memory spaces and transmission cost, has also reduced the workload of search.
(4) description of drawings
This distribution type intelligent video searching system of Fig. 1 embodiment overall structure block diagram;
Fig. 2 is intelligent camera structured flowchart among Fig. 1.
(5) embodiment
The embodiment of this distribution type intelligent video searching system comprises Surveillance center and the 1～n platform intelligent front end that is distributed in each control point as shown in Figure 1.Wherein three nearer intelligent front ends in distance detection center directly are connected with Surveillance center by cable LAN, and remaining intelligent front end can increase and decrease intelligent front end as required by the Internet connection intelligent centre.Each intelligent front end has unique network address and is stored in Surveillance center.Surveillance center respectively is connected 2 by local area network (LAN) and the Internet user terminal.Every intelligent front end comprises camera body and camera lens, video acquisition module, processing system for video and the power module that is installed in the casing as shown in Figure 2, and power module is connected with each parts provides required electric energy; Video acquisition module comprises photoelectric switching circuit, mould/number conversion circuit, and processing system for video comprises microprocessor and the data compressing module that is attached thereto, memory, and the output of video acquisition module connects the microprocessor of processing system for video.The light signal that camera lens obtains is converted to digital video signal through video acquisition module, sends into processing system for video, deposits memory after data compression in.
The processing system for video of each intelligent front end also has analysis module and network interface, the N bar rule of the characteristics of image the when anomalous event that this control point of analysis module stored need be caught takes place.The picture that meets certain bar rule is decided to be certain incident, and this incident is a numbering with regular number.The real-time video picture that the rule analysis that microprocessor is stored according to analysis module obtains, the video data that will meet rule request are as incident, and the classification of compression back is stored in memory.Each intelligent front end is connected with the Surveillance center of rear end by local area network (LAN) or the Internet through network interface.
The foregoing description is the specific case that the purpose of this utility model, technical scheme and beneficial effect are further described only, and the utility model is not to be defined in this.All any modifications of within scope of disclosure of the present utility model, being made, be equal to replacement, improvement etc., all be included within the protection range of the present utility model.
Claims (3)
1. distribution type intelligent video searching system comprises Surveillance center and is distributed in each control point 1～n platform intelligent front end, and each intelligent front end has unique network address and is stored in Surveillance center; Every intelligent front end comprises camera body and camera lens, video acquisition module, processing system for video and the power module that is installed in the casing, and power module is connected with each parts provides required electric energy; Video acquisition module comprises photoelectric switching circuit, mould/number conversion circuit, and processing system for video comprises microprocessor and the data compressing module that is attached thereto, memory, and the output of video acquisition module connects the microprocessor of processing system for video; The light signal that camera lens obtains is converted to digital video signal through video acquisition module, sends into processing system for video, deposits memory after data compression in; It is characterized in that:
The processing system for video of described each intelligent front end also has analysis module and network interface, the N bar rule of the characteristics of image the when anomalous event that this control point of analysis module stored need be caught takes place, the picture that meets certain bar rule is decided to be certain incident, and this incident is a numbering with regular number; The real-time video picture that the rule analysis that microprocessor is stored according to analysis module obtains, the video data that will meet rule request are as incident, and the classification of compression back is stored in memory; Each intelligent front end is connected with the Surveillance center of rear end by transmission network through network interface.
2. distribution type intelligent video searching system according to claim 1 is characterized in that:
Each circuit of the video acquisition module of described each intelligent front end, power module and processing system for video is all integrated to be installed in the casing.
3. distribution type intelligent video searching system according to claim 1 is characterized in that:
Described Surveillance center connects one or more user terminals through network.
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| Application Number | Priority Date | Filing Date | Title |
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| CN2010201924396U CN201699880U (en) | 2010-05-14 | 2010-05-14 | Distributed intelligent video searching system |
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| CN2010201924396U CN201699880U (en) | 2010-05-14 | 2010-05-14 | Distributed intelligent video searching system |
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| CN201699880U true CN201699880U (en) | 2011-01-05 |
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101867793A (en) * | 2010-05-14 | 2010-10-20 | 蔡晓东 | Distribution type intelligent video searching system and using method |
| CN103794234A (en) * | 2012-10-30 | 2014-05-14 | 北京航天长峰科技工业集团有限公司 | Massive video-based event trace quick search platform |
| CN103974037A (en) * | 2014-04-28 | 2014-08-06 | 厦门纳网科技有限公司 | Real-time retrieval system and method based on network video cloud |
| CN105072425A (en) * | 2015-09-22 | 2015-11-18 | 广东威创视讯科技股份有限公司 | Video monitoring method and video monitoring device |
| CN105306878A (en) * | 2014-07-10 | 2016-02-03 | 中国科学院上海高等研究院 | Internet of things coprocessing monitor camera system |
| CN111372061A (en) * | 2020-04-16 | 2020-07-03 | 广州市水伊方康体会所有限公司 | Video monitoring device and monitoring method |
| CN111710172A (en) * | 2020-06-29 | 2020-09-25 | 毕星 | Method and system for rapidly collecting traffic violation evidence |
-
2010
- 2010-05-14 CN CN2010201924396U patent/CN201699880U/en not_active Expired - Fee Related
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101867793A (en) * | 2010-05-14 | 2010-10-20 | 蔡晓东 | Distribution type intelligent video searching system and using method |
| CN103794234A (en) * | 2012-10-30 | 2014-05-14 | 北京航天长峰科技工业集团有限公司 | Massive video-based event trace quick search platform |
| CN103794234B (en) * | 2012-10-30 | 2016-09-21 | 北京航天长峰科技工业集团有限公司 | Event trace quick-searching platform based on massive video |
| CN103974037A (en) * | 2014-04-28 | 2014-08-06 | 厦门纳网科技有限公司 | Real-time retrieval system and method based on network video cloud |
| CN105306878A (en) * | 2014-07-10 | 2016-02-03 | 中国科学院上海高等研究院 | Internet of things coprocessing monitor camera system |
| CN105072425A (en) * | 2015-09-22 | 2015-11-18 | 广东威创视讯科技股份有限公司 | Video monitoring method and video monitoring device |
| CN105072425B (en) * | 2015-09-22 | 2018-08-07 | 广东威创视讯科技股份有限公司 | Video frequency monitoring method and video monitoring apparatus |
| CN111372061A (en) * | 2020-04-16 | 2020-07-03 | 广州市水伊方康体会所有限公司 | Video monitoring device and monitoring method |
| CN111710172A (en) * | 2020-06-29 | 2020-09-25 | 毕星 | Method and system for rapidly collecting traffic violation evidence |
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Effective date of registration: 20121203 Address after: 541004, the Guangxi Zhuang Autonomous Region Guilin hi tech Zone Information Industry Park D-12 Guilin Lijiang science and Technology Development Co., Ltd. two floor of scientific research building Patentee after: Cai Xiaodong Address before: 610041, room 5, 408 high tech incubator Park, Tianfu Road, Chengdu hi tech Zone, Sichuan Patentee before: Sichuan Haotel Telecommunications Co., Ltd. |
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Effective date of registration: 20130306 Address after: 541004, Guilin, Chaoyang Road, the Guangxi Zhuang Autonomous Region Information Industry Park D-12 Lijiang science and Technology Park, 2 floor Patentee after: GUILIN TOPINTELLIGENT COMMUNICATION TECHNOLOGY CO., LTD. Address before: 541004, the Guangxi Zhuang Autonomous Region Guilin hi tech Zone Information Industry Park D-12 Guilin Lijiang science and Technology Development Co., Ltd. two floor of scientific research building Patentee before: Cai Xiaodong |
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