CN110505446A - The hotel's video security protection system calculated based on mist - Google Patents
The hotel's video security protection system calculated based on mist Download PDFInfo
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- CN110505446A CN110505446A CN201910688379.2A CN201910688379A CN110505446A CN 110505446 A CN110505446 A CN 110505446A CN 201910688379 A CN201910688379 A CN 201910688379A CN 110505446 A CN110505446 A CN 110505446A
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- 238000012544 monitoring process Methods 0.000 claims description 11
- 230000006855 networking Effects 0.000 claims description 2
- 230000005540 biological transmission Effects 0.000 abstract description 11
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- 238000004891 communication Methods 0.000 description 2
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- G—PHYSICS
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/12—Hotels or restaurants
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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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
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- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/161—Detection; Localisation; Normalisation
- G06V40/166—Detection; Localisation; Normalisation using acquisition arrangements
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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
- H04N7/181—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources
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Abstract
The invention discloses a kind of hotel's video security protection system calculated based on mist, mainly solve the problems, such as that the prior art cannot carry out intelligent processing to video.It includes video acquisition module (1), mist computing module (2) and cloud computing module (3), video acquisition module and mist computing module use wireless network connection in local area network, and mist computing module is connect in internet using wired or wireless network with cloud computing module.Video acquisition module obtains hotel's real-time pictures and generates video flowing, mist computing module, which is timed the live video stream in video acquisition module, takes pictures, moves these processing of detection and Face datection, and cloud computing module is timed picture playback, abnormal mobile playback and specific people track to the processing result in mist computing module and generates.The present invention reduces the calculating in cloud and storage pressure, improve efficiency of transmission and rate, reduce time delay, can be used for being promoted the efficiency of the transmission of hotel's video security protection system and processing mass data.
Description
Technical field
The invention belongs to field of computer technology, further relate to a kind of hotel's video security protection system, can be used for being promoted
The efficiency of the transmission of hotel's video security protection system and processing mass data.
Background technique
Nowadays, from wearable device to smart home, then industrial interconnection field is arrived, Internet of Things application has been applied in people
Each section of life.However, most of data from internet of things equipment are all handled beyond the clouds, it means that the whole world is all
The data in corner are sent to a handful of computer positioned at core data center.To the year two thousand twenty, the number of internet of things equipment
Amount is estimated will to surge to 20,000,000,000, and data are by the quantity and speed of the Internet transmission for the method using " only cloud "
It is a stern challenge.
Cloud computing mode is used widely due to its convenience, scalability and accessibility.But with data
The Internet of Things application system of the increase cloud computing framework of amount has highlighted its deficiency, is mainly reflected in three aspects:
1. sending and receiving the high latency problem of data.Due to being passed through by sensor or the collected data of smart machine
The cloud data center of network transmission to distant place is handled, then by the result data handled well using network transmission to execution
Biggish network delay will be generated on device or smart machine, during this, so that the application strong to requirement of real-time is difficult to be deployed in
Cloud data center.
2. network bandwidth waste and network congestion problem.Since Internet of Things application system is connected to the sensing of substantial amounts
Device, actuator and smart machine, it is not the data of all devices that usual actuator, which responds and only needs one's respective area equipment, and is owned
Data be all transferred to cloud data center, not only transmit a large amount of inefficient data, cause the waste of network bandwidth, or even can also
Cause the network congestion of cloud data center.
3. lower security integrity problem.Due to from terminal devices such as sensor, actuator and smart machines into cloud data
The heart generally goes through longer network path, once communication network goes wrong, will make loss of data and Internet of Things application failure, this
Should be used to say that high for reliability requirement is unacceptable.On the other hand, from terminal device to cloud data center communication lines
Path length, node are more, vulnerable to network attack, also bring great security risk to system.
By being analyzed above it is found that strong real-time, data volume is big, the demanding Internet of Things application of security reliability, cloud meter
It is simultaneously improper to calculate framework, it is therefore desirable to which novel calculating makes up the deficiency of cloud computing.
Mist calculating is the extension concept of cloud computing, is mainly used for managing the data from sensor and edge device, will count
It is concentrated in the equipment of network edge according to processing and application program, rather than all saves data center beyond the clouds.It is set in terminal
It is standby to add one layer " mist ", i.e. network edge edge layer again between the data center of cloud, or add a small service with memory again
Some data for not needing to be put into cloud are directly handled and are stored, can greatly reduce the meter in cloud by device or router
Pressure is calculated and stored, is improved efficiency, promoting transmission rate, time delay is lowered.
With current video monitoring system networking, Gao Qinghua, intelligentized progress, have increasing need for its have transmission,
The ability of mass data is handled, therefore mist calculating also has good application prospect in video field.Wherein, hotel's intelligent security guard system
System is the typical case of video field, and the video pictures that hotel management personnel can be provided by video monitoring put to the proof reduction scene
To cope with various emergency events, such as various regions public security organ is assisted to solve a case, solves customer and make trouble after drinking, speech dispute is even fought bucket
The problems such as beatting up.
A kind of patent document " the environment of internet of things real-time monitoring system that based on mist is calculated of the South China Science & Engineering University in its application
One is disclosed in system " (publication number: CN109862011A, application number: 201910104927.2, applying date: on February 1st, 2019)
The environment of internet of things real-time monitoring system that kind is calculated based on mist.The system include: environment information acquisition module, mist layer module and after
Platform module.Data are simultaneously uploaded to mist calculate node by environment information acquisition module acquisition video data, and mist calculate node is to reception
Data pre-processed, and transmit data to background module.The Cloud Server of background module to received data packet successively
It is decoded processing, analysis, storage.The shortcoming of the system is that mist layer is provided with hardware and software module, the building of system
It is excessively complicated, and do not accomplish intelligence.It include a large amount of still pictures since amount of video is very big, and in video, from these videos
To go out that significant information is very time-consuming by MS manual search, increase the management cost and operation cost of system.
A kind of patent " the household intelligence that based on mist is calculated of the Jinan tide high and new technology Investment and Development Co., Ltd in its application
Energy monitoring system " (publication number: CN109495723A, application number: 201811449859.5, the applying date: on November 30th, 2018)
Disclosed in domestic intelligent monitoring system comprising: multiple Indoor Video cameras, mist computing module, cloud processing terminal；Wherein
Monitoring content is sent to mist computing module by Indoor Video camera, and mist computing module is analyzed and handled to monitoring content,
By treated, video data is sent to cloud.Shortcoming existing for the system is to be only applicable to the lesser space of flow of the people,
Reasonable safety management can not be accomplished to more than the people and biggish region of range.
Summary of the invention
It is an object of the invention in view of the above shortcomings of the prior art, propose a kind of hotel's video peace calculated based on mist
Anti- system carries out analysis extraction key message to data from the source that data generate and gives cloud computing module, reduces a large amount of network
Transmission and cloud computing resource, improve data transfer efficiency, while reducing hotel's security system management cost and operation cost.
To achieve the above object, the hotel's video security protection system of the invention calculated based on mist, including video acquisition module
With cloud computing module, it is characterised in that: have additional mist computing module, and video acquisition in video acquisition module and cloud computing module
Module and mist computing module use wireless network connection in local area network, and mist computing module is adopted in internet with cloud computing module
It is connected with wired or wireless network；
The mist computing module, including multiple mist nodes are deployed in the different zones in hotel, each mist node packet respectively
It includes:
Timing is taken pictures submodule, for the figure of live video stream of the Fixed Time Interval storage from video acquisition module
Picture, and by the timing picture library of the image transmitting of storage to cloud computing module；
Mobile detection sub-module, for carrying out mobile detection, storage view to the live video stream from video acquisition module
Comprising the mobile video clip of object, mobile detection time and mobile detection region in frequency stream, and by the knot of mobile detection
Fruit is transmitted to the mobile detection library of cloud computing module；
Face datection submodule carries out Face datection for the video clip to mobile detection sub-module, stores piece of video
Facial image, Face datection time and Face datection region in section, and the result of Face datection is transmitted to cloud computing
The Face datection library of module.
Further, which is characterized in that video acquisition module includes multiple network monitoring camera heads, is deployed in hotel respectively
Live video stream for obtaining hotel's real-time pictures and generating video flowing, and is pushed to mist computing module by different zones.
Further, which is characterized in that cloud computing module includes:
Data sub-module stored is made of timing picture library, mobile detection library and Face datection library, by storing based on mist
Calculate timing picture, mobile testing result and the Face datection result of module.
Timing picture playback submodule, for being grouped according to different zones to the timing picture from mist computing module
Display；
Abnormal mobile playback submodule for showing the mobile testing result of mist computing module, and counts in different periods
The mobile number of exception；
Specific people track generates submodule, for generating specific people's according to the mobile testing result of mist computing module
Motion track first chooses the facial image of a specific people from Face datection library, further according to selected facial image, from
The Face datection of the same person is retrieved in Face datection library as a result, including facial image, Face datection time and Face datection
Region；Then, all face testing results that will be retrieved, are ranked up according to the Face datection time；Finally, will sequence
Face datection region is attached in all face testing results afterwards, to generate specific people's motion profile.
Compared with prior art, the present invention having the advantage that
1. the present invention judges the information of video flowing due to using mist computing module to analyze and handle live video stream
Value carries out different disposal for the video flowing of different values, is analyzed from the source that data generate data and extract pass
Key information gives cloud computing module, reduces a large amount of network transmission and cloud computing resource, improves data transmission efficiency, simultaneously
Reduce hotel's security system management cost and operation cost.
2. the present invention is due to realizing timing picture playback function, user can check hall, dining room, these hotels of corridor
The picture of public domain avoids peak from waiting situation to carry out routing.
3. the present invention, can by selecting facial image due to realizing specific people's motion profile systematic function, administrator
To check designated person's motion profile, hotel's safety is improved, auxiliary various regions public security organ solves a case, and solves customer and makes a noise after drinking
The problem of thing, speech dispute is even fought.
Detailed description of the invention
Fig. 1 is the system block diagram of invention；
Fig. 2 is the working principle diagram of the specific people track generation submodule in the present invention.
Specific implementation measure
The embodiment of the present invention is described in further detail with reference to the accompanying drawing.
Referring to Fig.1, the present invention is based on hotel's video security protection systems that mist calculates, including video acquisition module 1, mist to calculate mould
Block 2 and cloud computing module 3.Video acquisition module 1 and mist computing module 2 use wireless network connection in local area network, and mist calculates
Module 2 is connect in internet using wired or wireless network with cloud computing module 3.It is real-time that video acquisition module 1 obtains hotel
Picture simultaneously generates video flowing, and mist computing module 2, which is timed the live video stream in video acquisition module 1, takes pictures, moves inspection
It surveys and Face datection these processing, cloud computing module 3 is timed picture playback, different to the processing result in mist computing module 2
Normal mobile playback and specific people track generate.Wherein:
The video acquisition module 1 includes multiple network monitoring camera heads, is deployed in the different zones in hotel respectively, is used for
It obtains hotel's real-time pictures and generates video flowing, and live video stream is pushed into mist computing module 2.
The mist computing module 2, including multiple mist nodes 21, each mist node correspond to a region in hotel, are used for
Live video stream in the same area is timed and takes pictures, move these processing of detection and Face datection, and will treated
As a result it is transmitted to cloud computing module.Each mist node 21 includes periodically take pictures submodule 211, mobile detection sub-module 212 and people
Face detection sub-module 213.
The submodule 211 of periodically taking pictures, for storing the real-time video from video acquisition module 1 with Fixed Time Interval
The image of stream, and by the timing picture library of the image transmitting of storage to cloud computing module 3；
The movement detection sub-module 212, for carrying out mobile detection to the live video stream from video acquisition module 1,
It stores comprising the mobile video clip of object, mobile detection time and mobile detection region in video flowing, and is examined mobile
The result of survey is transmitted to the mobile detection library of cloud computing module 3；
The face detection sub-module 213 carries out Face datection for the video clip to mobile detection sub-module 212, deposits
Facial image, Face datection time and the Face datection region in video clip are stored up, and the result of Face datection is transmitted
To the Face datection library of cloud computing module 3.
The cloud computing module 3 includes data sub-module stored 31, timing picture playback submodule 32, abnormal mobile playback
Submodule 33 and specific people track generate submodule 34.
The data sub-module stored 31, timing picture, mobile testing result and face for storing mist computing module 2 are examined
Survey result comprising timing picture library 311, mobile detection library 312 and Face datection library 313, in which:
The timing picture playback submodule 32, for according to different zones to the timing picture from mist computing module 2 into
Row grouping display；
The exception mobile playback submodule 33, for showing the mobile testing result of mist computing module 2, and when counting different
The mobile number of exception in section；
The specific people track generates submodule 34, specific for being generated according to the mobile testing result of mist computing module 2
The motion track of personnel.
Referring to attached drawing 2, the working principle which generates submodule generation specific people's motion track is as follows:
Firstly, choosing a specific people's out of the data sub-module stored in cloud computing module Face datection library
Facial image；Further according to selected facial image, the Face datection of the same person is retrieved from Face datection library as a result, including
Facial image, Face datection time and Face datection region；Then, all face testing results that will be retrieved, according to
The Face datection time is ranked up；Finally, Face datection region in all face testing results after sequence is connected
It connects, to generate specific people's motion profile.
Above description is only example of the present invention, does not constitute any limitation of the invention, it is clear that for
It, all may be without departing substantially from the principle of the invention, structure after having understood the content of present invention and principle for one of skill in the art
In the case where, various modifications and change in form and details are carried out, but the modifications and variations of these basic inventive ideas are still
Within the scope of the claims of the present invention.
Claims (4)
1. a kind of hotel's video security protection system calculated based on mist, including video acquisition module (1) and cloud computing module (3),
It is characterized in that: being had additional mist computing module (2) in video acquisition module (1) and cloud computing module (3), and video acquisition module
(1) wireless network connection is used in local area network with mist computing module (2), mist computing module (2) is with cloud computing module (3) mutual
It is connected in networking using wired or wireless network；
The mist computing module (2), including multiple mist nodes (21) are deployed in the different zones in hotel, each mist section respectively
Point (21) includes:
Timing is taken pictures submodule (211), for coming from the live video stream of video acquisition module (1) with Fixed Time Interval storage
Image, and by the timing picture library of the image transmitting of storage to cloud computing module (3)；
Mobile detection sub-module (212) are deposited for carrying out mobile detection to the live video stream from video acquisition module (1)
It stores up comprising the mobile video clip of object, mobile detection time and mobile detection region in video flowing, and is detected mobile
Result be transmitted to the mobile detection library of cloud computing module (3)；
Face datection submodule (213) carries out Face datection, storage for the video clip to mobile detection sub-module (212)
Facial image, Face datection time and Face datection region in video clip, and the result of Face datection is transmitted to
The Face datection library of cloud computing module (3).
2. system according to claim 1, it is characterised in that: video acquisition module (1) includes multiple network monitoring camera shootings
Head is deployed in the different zones in hotel respectively, for obtaining hotel's real-time pictures and generating video flowing, and live video stream is pushed away
It send to mist computing module (2).
3. system according to claim 1, it is characterised in that: cloud computing module (3) includes:
Data sub-module stored (31), by timing picture library (311), mobile detection library (312) and Face datection library (313) group
At for storing timing picture, mobile testing result and the Face datection result of mist computing module (2).
Timing picture playback submodule (32), for being carried out according to different zones to the timing picture from mist computing module (2)
Grouping display；
Abnormal mobile playback submodule (33), for showing the mobile testing result of mist computing module (2), and counts different periods
The interior mobile number of exception；
Specific people track generates submodule (34), for generating particular person according to the mobile testing result of mist computing module (2)
The motion track of member.
4. system according to claim 3, it is characterised in that: specific people track generates submodule (34) and calculated according to mist
The mobile testing result of module (2) generates the motion track of specific people, is accomplished by
The facial image that a specific people is first chosen from Face datection library (311), further according to selected facial image, from people
The Face datection of the same person is retrieved in face detection library (311) as a result, including that facial image, Face datection time and face are examined
Survey region；Then, all face testing results that will be retrieved, are ranked up according to the Face datection time；Finally, will row
Face datection region is attached in all face testing results after sequence, to generate specific people's motion profile.
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