CN204859420U - Intelligent building video monitor system - Google Patents
Intelligent building video monitor system Download PDFInfo
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- CN204859420U CN204859420U CN201520626740.6U CN201520626740U CN204859420U CN 204859420 U CN204859420 U CN 204859420U CN 201520626740 U CN201520626740 U CN 201520626740U CN 204859420 U CN204859420 U CN 204859420U
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Abstract
The utility model relates to an intelligent building video monitor system mainly includes: surveillance camera machine, video processing module, video storage module and content server, video processing module includes face recognition module, video conversion module and video compression module, the video storage module includes video information storage module and text message storage module, face recognition module is connected to the institute's surveillance camera that tells machine, face recognition module connects video conversion module and video compression module respectively, video conversion module connects text message storage module, content server is connected to the video compression module, video information storage module connects content server. The utility model discloses changed traditional time quantum that uses as the storage structure of keyword, and surveillance video's storage is carried out as the keyword to end user's face characteristic, has not only saved storage space greatly, has avoided the storage resource of traditional approach extravagant, be convenient for in addition the retrieval with extract effective video information.
Description
Technical field
The utility model relates to intelligent building field, particularly relates to a kind of intelligent building video monitoring system.
Background technology
Video monitoring developing rapidly along with computer technology and promoting, and the network video monitor and control system of total digitalization has replaced the main flow that traditional simulated monitoring system becomes video monitoring system gradually.Video monitoring gradually from digitlization, simulated to networking, high Qinghua, intelligent direction development.Although the development prospect of Network Video Surveillance is generally had an optimistic view of, but in actual applications, various restriction condition but allows video monitoring effect have a greatly reduced quality, wherein maximum problem is the mass memory problem of video monitoring, supervisory control system is the forward position of service application, and advanced, that stable Digital Storage System is whole service application Infrastructure support platform, there is reliable, advanced storage management system, whole monitoring business data can well be preserved, and can inquire about easily and utilize.Therefore, on the basis of digital supervision video recording, setting up advanced monitor data mass storage system (MSS) is that current monitor is system digitalized, the inexorable trend of web development.But as the carrier of its mass memory---storage system is but often because the many factors such as performance, price, compatibility become a difficult problem of puzzlement security protection manufacturer.In video monitoring system, conventional video monitoring storage class is generally divided into DVR to store, encode direct-connected storage and concentrated storage.DVR storage can carry polylith hard disk, but application can cause system loading to increase like this, and failure rate improves, and meanwhile, due to the safeguard measure that data there is no need, often understands because hard disk corruptions cause loss of data.
The existing compromise solution for video monitoring mass memory problem carries out a data scrubbing at set intervals, the video data more remote for the time is deleted, although this method alleviates a storage difficult problem to a certain extent, the loss of multitude of video data can be caused and can not review.
Utility model content
A kind of intelligent building video monitoring system, mainly comprise: CCTV camera, video processing module, video storage modules and content server, described video processing module comprises face recognition module, video conversion module and video compressing module, and described video storage modules comprises video information memory module and Word message memory module; Described CCTV camera connects face recognition module, described face recognition module connects video conversion module and video compressing module respectively, described video conversion module is used for video information being converted to Word message and connecting Word message memory module, described video compressing module connects content server, and described video information memory module connects content server.
Further, described video storage modules is database module, the relative path of described video information memory module store video, described Word message memory module and video information memory module are mapped one by one by keyword, and described content server is connected with video information memory module by calling relative path.Be key organization's video storage with face characteristic, and with time period be not keyword.Be conducive to saving memory space, when needing to retrieve specific face movement locus, only need according to time period and face characteristic two field search Word message memory modules, and recall video relative path corresponding in video information memory module according to Query Result, from content server, finally search the video of needs.
Further, described video conversion module comprises temporal information extraction module and face characteristic coding module, described face characteristic coding module converts face characteristic to binary coding, described temporal information extraction module is for extracting the time shaft in video, and described face characteristic coding carries out coupling with time shaft by SQL module and is connected.Carrying out encodes is conducive to the digitlization of face characteristic, and can ensure uniqueness.
Further, video format in described content server adopts CIF or 4CIF form, and CIF form is main flow form, and picture quality can accept but undesirable, 4CIF format-pattern quality is high but memory space is large, needs according to circumstances to choose the best alternatives in actual use.
Further, described video processing module also comprises a denoising module, described denoising module comprises noise removal module and image denoising module, described image denoising module is connected with face recognition module, be conducive to removing noise, and provide higher picture quality for face recognition module, be conducive to the speed improving recognition of face.
Further, described image denoising module is the image denoising module based on rarefaction representation, and the image Y-PSNR obtained is high.
Further, described face recognition module is the video human face recognition system based on OpenCV, and this system has powerful image and matrix operation function, and the accuracy rate of identification is higher.
After CCTV camera collects video data, face identification system identifies everyone and is numbered, for occurring that the video-frequency band of the people that numbering is identical carries out unifying process, convert video informations all for same person to Word message on the one hand, comprise the information such as face characteristic coding, the video camera item of shooting, time period of photographing, on the other hand video is stored in content server through overcompression, and the relative path of each video in content server is stored to video information memory module.
The beneficial effects of the utility model are:
(1), using face characteristic takeover time section as the keyword of video storage, using everyone video-frequency band as a record, greatly save memory space, the effective information that same storage container can store increases greatly, is conducive to the optimized development of video monitoring.
(2), when needing to retrieve monitor video, only need input inquiry keyword, retrieval rate is fast and accurately, improves the method that retrieval manually watched one by one by traditional needs.
Accompanying drawing explanation
Fig. 1, primary structure schematic diagram of the present utility model
Embodiment
The present embodiment is described further the utility model for the intelligent building of 10 floor.
Suppose that every one deck installs 2 CCTV cameras, be stored as example with the monitor video of 1 month, the technical solution of the utility model is as follows:
A kind of intelligent building video monitoring system, mainly comprise: 20 CCTV cameras, video processing module, video storage modules and content servers, described video processing module comprises face recognition module, video conversion module and video compressing module, and described video storage modules comprises video information memory module and Word message memory module; Described CCTV camera connects face recognition module, described face recognition module connects video conversion module and video compressing module respectively, described video conversion module is used for video information being converted to Word message and connecting Word message memory module, described video compressing module connects content server, and described video information memory module connects content server.
Described video storage modules is database module, the relative path of described video information memory module store video, described Word message memory module and video information memory module are mapped one by one by face characteristic information, and described content server is connected with video information memory module by calling relative path.
Described video conversion module comprises temporal information extraction module and face characteristic coding module, described face characteristic coding module converts face characteristic to binary coding, described temporal information extraction module is for extracting the time shaft in video, and described face characteristic coding carries out coupling with time shaft by SQL module and is connected.Video information is converted to following literal table case form by such as video conversion module:
Table 1, Word message storage list
Video format in described content server adopts CIF form.According to traditional video monitoring system, then memory space be 30 (my god) * 24 (hour) * 60 (point) * 60 (second) * 25 (frame) * 352*288 ≈ 486G, according to system of the present utility model, suppose that a Dong Louli resident family is 100 people, visitor 50 people, time before not appearing at video camera is for each person 1 hour, then memory space is 150 (people) * 1 (hour) * 60 (point) * 60 (second) * 25 (frame) * 352*288 ≈ 101G, save 79.2% than traditional video surveillance, greatly saved memory space.
Described video processing module also comprises a denoising module, described denoising module comprises noise removal module and image denoising module, described image denoising module is image denoising module based on rarefaction representation and is connected with face recognition module, be conducive to removing noise, and provide higher picture quality for face recognition module, be conducive to the speed improving recognition of face.
Described face recognition module is the video human face recognition system based on OpenCV, and this system has powerful image and matrix operation function, and the accuracy rate of identification is higher.
When needing the monitor video transferring someone's time period, only need gather its facial characteristics, encode according to face characteristic, first search Word message memory module, and according to Word message correspondence inquiry video information memory module, from content server, take out video by the video relative path stored in video information memory module.
Claims (7)
1. an intelligent building video monitoring system, it is characterized in that: mainly comprise: CCTV camera, video processing module, video storage modules and content server, described video processing module comprises face recognition module, video conversion module and video compressing module, and described video storage modules comprises video information memory module and Word message memory module; Described CCTV camera connects face recognition module, described face recognition module connects video conversion module and video compressing module respectively, described video conversion module is used for video information being converted to Word message and connecting Word message memory module, described video compressing module connects content server, and described video information memory module connects content server.
2. a kind of intelligent building video monitoring system as claimed in claim 1, it is characterized in that: described video storage modules is database module, the relative path of described video information memory module store video, described Word message memory module and video information memory module are mapped one by one by keyword, and described content server is connected with video information memory module by calling relative path.
3. a kind of intelligent building video monitoring system as claimed in claim 1, it is characterized in that: described video conversion module comprises temporal information extraction module and face characteristic coding module, described face characteristic coding module converts face characteristic to binary coding, described temporal information extraction module is for extracting the time shaft in video, and described face characteristic coding carries out coupling with time shaft by SQL module and is connected.
4. a kind of intelligent building video monitoring system as claimed in claim 1, is characterized in that: the video format in described content server adopts CIF or 4CIF form.
5. a kind of intelligent building video monitoring system as claimed in claim 1, it is characterized in that: described video processing module also comprises a denoising module, described denoising module comprises noise removal module and image denoising module, and described image denoising module is connected with face recognition module.
6. a kind of intelligent building video monitoring system as claimed in claim 5, is characterized in that: described image denoising module is the image denoising module based on rarefaction representation.
7. a kind of intelligent building video monitoring system as claimed in claim 1, is characterized in that: described face recognition module is the video human face recognition system based on OpenCV.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201520626740.6U CN204859420U (en) | 2015-08-19 | 2015-08-19 | Intelligent building video monitor system |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201520626740.6U CN204859420U (en) | 2015-08-19 | 2015-08-19 | Intelligent building video monitor system |
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| CN204859420U true CN204859420U (en) | 2015-12-09 |
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| CN201520626740.6U Expired - Fee Related CN204859420U (en) | 2015-08-19 | 2015-08-19 | Intelligent building video monitor system |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105706446A (en) * | 2016-01-31 | 2016-06-22 | 深圳市博信诺达经贸咨询有限公司 | Monitoring warning method and system for big data |
| CN106709424A (en) * | 2016-11-19 | 2017-05-24 | 北京中科天云科技有限公司 | Optimized surveillance video storage system and equipment |
| CN110418102A (en) * | 2018-04-27 | 2019-11-05 | 江苏联禹智能工程有限公司 | A kind of video monitoring system of infrared/temperature-sensitive recognition of face |
-
2015
- 2015-08-19 CN CN201520626740.6U patent/CN204859420U/en not_active Expired - Fee Related
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105706446A (en) * | 2016-01-31 | 2016-06-22 | 深圳市博信诺达经贸咨询有限公司 | Monitoring warning method and system for big data |
| WO2017128440A1 (en) * | 2016-01-31 | 2017-08-03 | 深圳市博信诺达经贸咨询有限公司 | Method and system for big data monitoring and reminding |
| CN106709424A (en) * | 2016-11-19 | 2017-05-24 | 北京中科天云科技有限公司 | Optimized surveillance video storage system and equipment |
| CN110418102A (en) * | 2018-04-27 | 2019-11-05 | 江苏联禹智能工程有限公司 | A kind of video monitoring system of infrared/temperature-sensitive recognition of face |
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Legal Events
| Date | Code | Title | Description |
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| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20151209 Termination date: 20200819 |