CN110062208A - A kind of security protection intelligence real-time analyzer and method - Google Patents
A kind of security protection intelligence real-time analyzer and method Download PDFInfo
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- CN110062208A CN110062208A CN201910329469.2A CN201910329469A CN110062208A CN 110062208 A CN110062208 A CN 110062208A CN 201910329469 A CN201910329469 A CN 201910329469A CN 110062208 A CN110062208 A CN 110062208A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/40—Scenes; Scene-specific elements in video content
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/40—Scenes; Scene-specific elements in video content
- G06V20/46—Extracting features or characteristics from the video content, e.g. video fingerprints, representative shots or key frames
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B19/00—Alarms responsive to two or more different undesired or abnormal conditions, e.g. burglary and fire, abnormal temperature and abnormal rate of flow
- G08B19/005—Alarms responsive to two or more different undesired or abnormal conditions, e.g. burglary and fire, abnormal temperature and abnormal rate of flow combined burglary and fire alarm systems
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
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- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Signal Processing (AREA)
- Alarm Systems (AREA)
Abstract
The invention discloses kind of security protection intelligence real-time analyzer and a methods, including image collection module, image display, data memory module, video to split module, image recognition determination module and alarm module.The specific steps are that: camera is set in target area first, camera obtains the video data of target area, and is sent to server, and server controls the real-time video that display shows monitoring area；Then video splits the video data of module invoking server storage, is broken down into several frame images, each frame image decomposed is sent to image recognition determination module；Last image recognition determination module identifies each frame image received, and using having the neural network algorithm of self-teaching to differentiate image, if including unlawful practice in discovery image, sends control signal to Intelligent warning module.
Description
Technical field
The present invention relates to safety defense monitoring system fields, specifically, being related specifically to a kind of real-time analysis system of security protection intelligence
System and method.
Background technique
Safety defense monitoring system be using optical fiber, coaxial cable or microwave its closure loop in transmission video signal, and
The system for constituting independent completion is shown and recorded from camera shooting to image, and energy is real-time, image, is truly reflected monitored object, can
To replace artificial progress long-time monitoring under rugged environment, recorded by video recorder.Video security monitoring system refers to
Utilize video detection technique, monitoring security area and real-time display, the electronic system or network that record live image.
The defect of existing safety defense monitoring system is；
1) there is a large amount of monitored picture on safety and protection monitoring display screen, need to manually go to monitor, cannot achieve 24 hours without dead angle
The each width monitored picture of monitoring, low efficiency, the case where being easy to appear omission.
2) the target area interference strength of some monitoring is big, causes rate of false alarm that can greatly increase.
3) some monitoring systems can not adapt to any camera to the more demanding of camera, and hardware costs are big.
Summary of the invention
It is an object of the invention to aiming at the shortcomings in the prior art, provide a kind of security protection intelligence real-time analyzer and side
Method, to solve problems of the prior art.
Technical problem solved by the invention can be realized using following technical scheme:
A kind of security protection intelligence real-time analyzer, including
Image collection module is used to shoot the real-time video of monitoring area；
Image display is used to show the real-time video of monitoring area；
Data memory module is used to store the video data of image collection module shooting；
Video splits module, is used to for the video of server to be decomposed into several frame images；
Image recognition determination module is used to identify all images, using the neural network with self-teaching
Algorithm differentiates image, and result is fed back to and alarm module；
Alarm module, for realizing recognition of face alarm, smog alarm, geofence, not band safety cap alarm and it is bright
Fire alarm.
Further, described image obtains module and uses camera；Data memory module uses server；Image shows mould
Block uses display.
Further, described image obtains the video data that module is used to obtain many places target area, all target areas
Video data module and image recognition determination module split by same video handle.
Further, the self-teaching of the neural network algorithm includes ontoanalysis, vehicle analysis, behavioural analysis and figure
As analysis；
Wherein, ontoanalysis includes that recognition of face and characteristics of human body extract；Vehicle analysis includes that vehicle identification and vehicle are special
Sign is extracted；Behavioural analysis includes target following detection and abnormal behaviour analysis；Image analysis includes video quality diagnosis and video
Abstract analysis.
A kind of security protection intelligence real-time analysis method, includes the following steps:
1) camera is set in target area, camera obtains the video data of target area, and is sent to server, takes
The real-time video for device control display display monitoring area of being engaged in；
2) video splits the video data of module invoking server storage, is broken down into several frame images, decomposition obtains
Each frame image be sent to image recognition determination module；
3) image recognition determination module identifies each frame image received, and using the mind with self-teaching
Image is differentiated through network algorithm, if including unlawful practice in discovery image, control signal is sent and gives intelligent alarm mould
Block.
Compared with prior art, the beneficial effects of the present invention are:
1) all monitored pictures are identified using computer software, is able to achieve the monitoring without dead angle in 24 hours, simultaneously
It also saves artificial.
2) identified that anti-interference is good using image recognition determination module image.
3) compatible most of camera on the market, old camera may be reused, significantly reduction hardware costs.
Specific embodiment
To be easy to understand the technical means, the creative features, the aims and the efficiencies achieved by the present invention, below with reference to
Specific embodiment, the present invention is further explained.
A kind of security protection intelligence real-time analyzer of the present invention, including image collection module, image display, number
Module, image recognition determination module and alarm module are split according to memory module, video.
Wherein, image collection module is used to shoot the real-time video of monitoring area；
Image display is used to show the real-time video of monitoring area；
Data memory module is used to store the video data of image collection module shooting；
Video splits module, is used to for the video of server to be decomposed into several frame images；
Image recognition determination module is used to identify all images, using the neural network with self-teaching
Algorithm differentiates image, and result is fed back to and alarm module；
Alarm module, for realizing recognition of face alarm, smog alarm, geofence, not band safety cap alarm and it is bright
Fire alarm.
In the present embodiment, described image obtains module and uses camera；Data memory module uses server；Image is aobvious
Show module using display.
Described image obtains the video data that module is used to obtain many places target area, the video data of all target areas
Module and the processing of image recognition determination module are split by same video.
It may also be noted that the self-teaching of the neural network algorithm includes ontoanalysis, vehicle analysis, behavior point
Analysis and image analysis；
Wherein, ontoanalysis includes that recognition of face and characteristics of human body extract；Vehicle analysis includes that vehicle identification and vehicle are special
Sign is extracted；Behavioural analysis includes target following detection and abnormal behaviour analysis；Image analysis includes video quality diagnosis and video
Abstract analysis.
A kind of security protection intelligence real-time analysis method, includes the following steps:
1) camera is set in target area, camera obtains the video data of target area, and is sent to server, takes
The real-time video for device control display display monitoring area of being engaged in；
2) video splits the video data of module invoking server storage, is broken down into several frame images, decomposition obtains
Each frame image be sent to image recognition determination module；
3) image recognition determination module identifies each frame image received, and using the mind with self-teaching
Image is differentiated through network algorithm, if including unlawful practice in discovery image, control signal is sent and gives intelligent alarm mould
Block.
The above shows and describes the basic principles and main features of the present invention and the advantages of the present invention.The technology of the industry
Personnel are it should be appreciated that the present invention is not limited to the above embodiments, and the above embodiments and description only describe this
The principle of invention, without departing from the spirit and scope of the present invention, various changes and improvements may be made to the invention, these changes
Change and improvement all fall within the protetion scope of the claimed invention.The claimed scope of the invention by appended claims and its
Equivalent thereof.
Claims (5)
1. a kind of security protection intelligence real-time analyzer, which is characterized in that including
Image collection module is used to shoot the real-time video of monitoring area；
Image display is used to show the real-time video of monitoring area；
Data memory module is used to store the video data of image collection module shooting；
Video splits module, is used to for the video of server to be decomposed into several frame images；
Image recognition determination module is used to identify all images, using the neural network algorithm with self-teaching
Image is differentiated, and result is fed back to and alarm module；
Alarm module, for realizing recognition of face alarm, smog alarm, geofence, the not alarm of band safety cap and open fire report
It is alert.
2. security protection intelligence real-time analyzer according to claim 1, which is characterized in that described image obtains module and uses
Camera；Data memory module uses server；Image display uses display.
3. security protection intelligence real-time analyzer according to claim 1, which is characterized in that described image obtains module and is used for
The video data of many places target area is obtained, the video data of all target areas splits module by same video and image is known
Other determination module processing.
4. security protection intelligence real-time analyzer according to claim 1, which is characterized in that the neural network algorithm from
I learns to include ontoanalysis, vehicle analysis, behavioural analysis and image analysis；
Wherein, ontoanalysis includes that recognition of face and characteristics of human body extract；Vehicle analysis includes that vehicle identification and vehicle characteristics mention
It takes；Behavioural analysis includes target following detection and abnormal behaviour analysis；Image analysis includes video quality diagnosis and video frequency abstract
Analysis.
5. a kind of security protection intelligence real-time analysis method, which comprises the steps of:
1) camera is set in target area, camera obtains the video data of target area, and is sent to server, server
Control the real-time video that display shows monitoring area；
2) video splits the video data of module invoking server storage, is broken down into several frame images, that decomposes is every
One frame image is sent to image recognition determination module；
3) image recognition determination module identifies each frame image received, and using the nerve net with self-teaching
Network algorithm differentiates image, if including unlawful practice in discovery image, sends control signal to Intelligent warning module.
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Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110597114A (en) * | 2019-09-04 | 2019-12-20 | 上海新储集成电路有限公司 | Monitoring system |
| CN110830767A (en) * | 2019-10-31 | 2020-02-21 | 深圳大学 | Active intelligent behavior analysis alarm device |
| CN111582203A (en) * | 2020-05-13 | 2020-08-25 | 广州云从鼎望科技有限公司 | Image recognition processing method, system, device and medium |
| CN112233421A (en) * | 2020-10-15 | 2021-01-15 | 胡歆柯 | Intelligent city intelligent traffic monitoring system based on machine vision |
| CN112542022A (en) * | 2020-12-02 | 2021-03-23 | 吴忠赛马新型建材有限公司 | Automatic inspection system for intelligent production |
| WO2021057213A1 (en) * | 2019-09-23 | 2021-04-01 | 上海意略明数字科技股份有限公司 | Big data acquisition and analysis system based on intelligent image recognition, and application method |
| CN113836986A (en) * | 2020-06-24 | 2021-12-24 | 湖南三德科技股份有限公司 | Crucible monitoring method for intelligent assay and assay system with monitoring device |
| CN113850144A (en) * | 2021-08-30 | 2021-12-28 | 湖南黑鲸数据科技有限公司 | Video reliability automatic inspection system based on image recognition |
| CN115190243A (en) * | 2022-07-08 | 2022-10-14 | 上海西派埃智能化系统有限公司 | System and method for monitoring stop position of travelling crane |
| CN115426525A (en) * | 2022-09-05 | 2022-12-02 | 北京拙河科技有限公司 | High-speed moving frame based linkage image splitting method and device |
| CN117750040A (en) * | 2024-02-20 | 2024-03-22 | 浙江宇视科技有限公司 | Video service balancing method, device, equipment and medium of intelligent server cluster |
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| CN111582203A (en) * | 2020-05-13 | 2020-08-25 | 广州云从鼎望科技有限公司 | Image recognition processing method, system, device and medium |
| CN113836986A (en) * | 2020-06-24 | 2021-12-24 | 湖南三德科技股份有限公司 | Crucible monitoring method for intelligent assay and assay system with monitoring device |
| CN113836986B (en) * | 2020-06-24 | 2024-02-06 | 湖南三德科技股份有限公司 | Crucible monitoring method for intelligent assay and assay system with monitoring device |
| CN112233421A (en) * | 2020-10-15 | 2021-01-15 | 胡歆柯 | Intelligent city intelligent traffic monitoring system based on machine vision |
| CN112542022A (en) * | 2020-12-02 | 2021-03-23 | 吴忠赛马新型建材有限公司 | Automatic inspection system for intelligent production |
| CN113850144A (en) * | 2021-08-30 | 2021-12-28 | 湖南黑鲸数据科技有限公司 | Video reliability automatic inspection system based on image recognition |
| CN115190243A (en) * | 2022-07-08 | 2022-10-14 | 上海西派埃智能化系统有限公司 | System and method for monitoring stop position of travelling crane |
| CN115190243B (en) * | 2022-07-08 | 2024-04-05 | 上海西派埃智能化系统有限公司 | Driving stop position monitoring system and method |
| CN115426525A (en) * | 2022-09-05 | 2022-12-02 | 北京拙河科技有限公司 | High-speed moving frame based linkage image splitting method and device |
| CN117750040A (en) * | 2024-02-20 | 2024-03-22 | 浙江宇视科技有限公司 | Video service balancing method, device, equipment and medium of intelligent server cluster |
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