CN106993163B - A kind of video monitoring system based on motion image detection - Google Patents
A kind of video monitoring system based on motion image detection Download PDFInfo
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Abstract
The invention discloses a kind of video monitoring systems based on motion image detection, including frequency image monitoring system and Motion Image Detection system, Motion Image Detection system includes the second image capture module, dynamic image pro cess module and wireless transport module, and the second image capture module is identical with the monitoring area of frequency image monitoring system front end and clock is synchronous；Dynamic image pro cess module receives present image and carries out dynamic image analysis with previous frame reference picture, and dynamic image and its timestamp hair are sent to background storage server and/or remote monitoring terminal through internet by wireless transport module；Background storage server is marked the video monitoring information stored using the dynamic image and its timestamp and preferentially covers unlabelled video monitoring information when recycling storage.Compared with prior art, since Motion Image Detection system wirelessly accesses original frequency image monitoring system, the hardware structure of original frequency image monitoring system need not be changed.
Description
Technical field
The invention belongs to field of video monitoring more particularly to a kind of video monitoring systems based on motion image detection.
Background technique
The widely used frequency image monitoring system of existing market mostly uses still image to monitor, though monitoring area either with or without
Moving object is all collected and is stored, this causes system to need a large amount of memory space, increases the cost of system.In order to
Carrying cost is reduced, the prior art generallys use the mode of circulation storage, i.e., covers older content with newest video, still
After video is capped earlier, wherein the information contained will lose, when general monitoring system has minimum effective storage
Between requirement.With the maturation of high-definition camera technology, high-definition camera uses more and more extensive, taking the photograph in conventional monitoring systems
It is increasing according to memory space needed for existing memory technology as head upgrades to high-definition camera one after another, lead to original prison
For control system after upgrading camera, effective storage time is not able to satisfy the storage demand of user, and whole system is caused to need whole
Upgrading, to cause the waste of resource and the increase of cost.And in practice, in certain applications, for example, school, factory,
The places such as office building, often few people occur at night, but video camera is but working with usually, so records
Video be possible to absolutely not any effect, also taken up memory space.
Meanwhile the still image monitoring used in the prior art can not early warning emergency event in time, can only pass through artificial real
When checking monitoring video or subsequent checking monitoring video can not monitor emergency event in time once monitoring personnel is neglected, have
It may cause the loss that can not be retrieved.
Therefore for drawbacks described above present in currently available technology, it is really necessary to be studied, to provide a kind of scheme,
The case where not changing existing monitoring system framework, with a kind of evolutionary approach of low cost, existing in the prior art lack is solved
It falls into.
Summary of the invention
In view of this, it is necessory to provide a kind of video monitoring system based on motion image detection, it is existing not changing
The case where monitoring system framework, promotes the effective storage time and dynamic monitoring and early warning ability of monitor video.
In order to overcome the drawbacks of the prior art, technical scheme is as follows:
A kind of video monitoring system based on motion image detection, including frequency image monitoring system and motion image detection system
System, the two independent operating and clock are synchronous；Described image monitoring system include the first image capture module, Video Transmission Unit and
Background storage server；The Motion Image Detection system includes the second image capture module, dynamic image pro cess module and nothing
Line transmission module, second image capture module is corresponding with the first image acquisition module and monitoring area is identical and when
Clock is synchronous；The dynamic image pro cess module receives a frame image of second image capture module and with previous frame with reference to figure
As carrying out dynamic image analysis, the frame image is stored if the frame spectral discrimination is dynamic image and by the nothing
Dynamic image and its timestamp hair are sent to the background storage server and/or long-range monitoring eventually through internet by line transmission module
End；The background storage server is using the dynamic image and its timestamp to being stored through the first image acquisition module
Corresponding time point in the video monitoring information of acquisition is marked, and unlabelled video prison is preferentially covered when recycling storage
Control information；
The dynamic image pro cess module further comprises image receiving unit, image configuration unit, Integer DCT Transform list
Member, quantifying unit, image pixel comparing unit and storage unit, wherein described image receiving unit is for receiving described image
One frame image of acquisition module acquisition is as present image；Described image structural unit is used to present image carrying out M*M construction
It is divided into M2A fritter, wherein M is the natural number greater than 1；The Integer DCT Transform unit is used to carry out each small images whole
Number Integer DCT Transform；The quantifying unit is used for each small images amount of progress in the present image through Integer DCT Transform
Change and obtains image pixel point integer value；Described image pixel comparing unit is used to present image carrying out image with referring to image
The integer value of pixel relatively and counts ratio shared by different pixels and present image information is stored as with reference to figure
As information, present image is determined as dynamic image, otherwise, it is determined that present image if shared ratio is more than the threshold value set
For still image；The storage unit is for storing dynamic image.
Preferably, the wireless transport module is 4G module, 5G module or WIFI module, wirelessly access interconnection
Net.
Preferably, the first image acquisition module and second image capture module are high-definition camera.
Preferably, the rate of the first image acquisition module acquisition image is greater than 24 frames/second.
Preferably, second image capture module uses sieve skill C270 high-definition image acquisition module, is acquired image
Rate adaptation be less than or equal to 2 frames/second.
Preferably, the RT5350 module that the dynamic image pro cess module uses Lian Fake company to be researched and developed with MIPS chip.
Preferably, framework Lighttpd server in the RT5350 module.
It preferably, further include dynamic domain name server.
Compared with prior art, since Motion Image Detection system wirelessly accesses original frequency image monitoring system,
Therefore it need not change the hardware structure of original frequency image monitoring system；It is sent in time by motion image detection and by dynamic image
Background storage server or remote monitoring terminal are to realize monitoring active forewarning；Dynamic image and its timestamp pair are utilized simultaneously
It is stored in video monitoring information in background storage server to be marked, unlabelled video prison is preferentially covered when recycling storage
Information is controlled, namely allows the video monitoring information labeled as dynamic image that can store the longer time, to improve useful prison
Control effective storage time of information.Further, since background storage server stores dynamic image and its timestamp, significantly
Facilitate user search video monitoring information.
Detailed description of the invention
Fig. 1 is that the present invention is based on the functional block diagrams of the video monitoring system of motion image detection.
Fig. 2 is the functional block diagram of dynamic image pro cess module in the present invention.
Fig. 3 is image configuration 8x8 block schematic diagram in dynamic image pro cess module.
Fig. 4 is 4x4 Integer DCT Transform front and back data comparison schematic diagram in dynamic image pro cess module.
Fig. 5 is signal of the image block through the graceful supplement transformation of 4x4 Integer DCT Transform and hada in dynamic image pro cess module
Figure.
Fig. 6 is image block treatment process schematic diagram in dynamic image pro cess module.
Fig. 7 is a kind of functional block diagram of embodiment of Motion Image Detection system in the present invention.
Following specific embodiment will further illustrate the present invention in conjunction with above-mentioned attached drawing.
Specific embodiment
The video monitoring system provided by the invention based on motion image detection is made furtherly below with reference to attached drawing
It is bright.
The still image monitoring system that the prior art uses can not early warning emergency event in time, this cause certain occasions without
Method is met the needs of users.It is very big in the cost accounting of back-end storage device meanwhile in existing monitoring system, especially as preceding
End camera upgrades to high-definition camera, and the demand to memory capacity is further promoted, and back-end storage device is caused to be unable to satisfy
Application demand generally requires a whole set of monitoring system in some monitoring system upgrading projects and all upgrades, and which results in moneys
The waste in source.Therefore, it how the case where not changing existing monitoring system framework, is solved with a kind of evolutionary approach of low cost existing
There is above-mentioned technological deficiency existing for technology.
With the continuous maturation of the technologies such as the continuous development of wireless technology, especially WiFi, 4G, 5G, transmission speed is not
Disconnected to improve, mobile 4G/5G realizes covering comprehensively substantially, and the covering surface of WiFi is also increasingly wider, the transmission association of present WiFi
It is 150Mbps that view, which has used 802.11n maximum speed,.Therefore, the present invention is on the basis of existing video monitoring system, using wireless
Mode by the original still image monitoring system of motion image detection device seamless access, obtain system performance further
It is promoted, to overcome the deficiencies of existing technologies.
Referring to Fig. 1, it show the functional block diagram of the video monitoring system the present invention is based on motion image detection, including image
The Motion Image Detection system of monitoring system and setting synchronous with the frequency image monitoring system, frequency image monitoring system are that the prior art is wide
The general still image monitoring system used, including the first image capture module, Video Transmission Unit and background storage server.It is existing
Have in technology, still image monitoring system working principle is as follows: the first image capture module is to be greater than 24 frames/second Image Acquisition
Rate obtains image, and Video Transmission Unit carries out image coding and video is simultaneously streamed to background storage server, when depositing from the background
When storing up server storage deficiency, circulation cover time video monitoring information earlier.
Motion Image Detection system includes the second image capture module, dynamic image pro cess module and wireless transport module,
In a preferred embodiment, the first image capture module and the second image capture module are all made of high-definition camera；Wirelessly
Transmission module is 4G module, 5G module or WIFI module, wirelessly accesses internet.Second image capture module and
One image capture module is corresponding and monitoring area is identical synchronous with clock；Dynamic image pro cess module receives the second Image Acquisition
One frame image of module simultaneously carries out dynamic image analysis with previous frame reference picture, if the frame spectral discrimination is dynamic image
The frame image is stored and passes through wireless transport module, dynamic image and its timestamp hair are sent to through internet and are deposited from the background
Store up server and/or remote monitoring terminal；Background storage server is using the dynamic image and its timestamp to the view stored
Frequency monitoring information is marked and preferentially covers unlabelled video monitoring information when recycling storage.That is, using the second figure
As the dynamic image data that acquisition module obtains carrys out the monitoring video information of the first image capture module of label, monitor video is believed
The corresponding moment point of dynamic image in breath is marked, in this way circulation storage when can as video information covering control according to
According to, the static video information for keeping those useless can by preferential covering so that useful dynamic video monitoring information store it is longer
Time.
By adopting the above technical scheme, since Motion Image Detection system wirelessly accesses original frequency image monitoring system,
Therefore it need not change the hardware structure of original frequency image monitoring system；It is sent in time by motion image detection and by dynamic image
Background storage server or remote monitoring terminal are to realize monitoring active forewarning；Dynamic image and its timestamp pair are utilized simultaneously
It is stored in video monitoring information in background storage server to be marked, unlabelled video prison is preferentially covered when recycling storage
Information is controlled, namely allows the video monitoring information labeled as dynamic image that can store the longer time, to improve useful prison
Control effective storage time of information.Further, since background storage server stores dynamic image and its timestamp, significantly
Facilitate user search video monitoring information.
Therefore, when being transformed using the present invention to conventional images monitoring system, it is only necessary to be set in the acquisition of original front-end image
A standby corresponding position independently installed Motion Image Detection system again, and the Motion Image Detection system is one and wirelessly connects
Enter equipment, without making any change to original hardware structure, while the Motion Image Detection system is relatively independent system again,
Remote monitoring terminal can be directly accessed Motion Image Detection system, to realize that dynamic image monitors；Original backstage storage
Server only needs access internet to receive data, is marked according to dynamic image and its timestamp to corresponding monitoring video information
Note being capable of significant increase effective storage time of useful monitoring information when recycling storage as file covering foundation.
Referring to fig. 2, it is shown the functional block diagram of dynamic image pro cess module in the present invention, further comprises that image receives list
Member, image configuration unit, Integer DCT Transform unit, quantifying unit, image pixel comparing unit and storage unit, wherein image
Receiving unit is used to receive a frame image of image capture module acquisition as present image；Image configuration unit is used for will be current
Image carries out M*M construction and is divided into M2A fritter, wherein M is the natural number greater than 1；Integer DCT Transform unit is used for each small
Block image carries out integer Integer DCT Transform；Quantifying unit is used for will be through each fritter figure in the present image of Integer DCT Transform
As being quantified and obtaining image pixel point integer value；Image pixel comparing unit is used to carry out present image with referring to image
The integer value of image slices vegetarian refreshments relatively and counts ratio shared by different pixels and is stored as joining by present image information
Image information is examined, determines present image as dynamic image, otherwise, it is determined that currently if shared ratio is more than the threshold value set
Image is still image；Storage unit is for storing dynamic image.
In a preferred embodiment, image configuration unit carries out 8x8 construction i.e. for present image point to present image
At 64 pieces；
Integer DCT Transform unit carries out 4x4 Integer DCT Transform to every block of image of the present image for having carried out 8x8 construction；
Quantifying unit quantifies 64 blocks of images in the present image for having carried out 4x4 Integer DCT Transform respectively；
Present image is carried out the integer of image slices vegetarian refreshments by image pixel comparing unit with the reference image that can be compared
Value comparison, and ratio shared by different pixels is counted, if shared ratio is more than the threshold value of setting (according to appropriate
Occasion is set) present image is then determined as dynamic image, replaced the reference figure stored referring to image as next frame
Picture is replaced and is stored referring to image if shared ratio determines present image less than the threshold value of setting for still image
Under as next frame reference image；
Wherein described construction 8x8 block such as Fig. 3, if directly carried out to image since the scale of two dimensional image is all bigger
Dct transform is from formula (1) and formula (2) it can be seen that huge calculation amount will be unable to the requirement for meeting image real-time coding, therefore, first
Block group is divided an image into, the complexity that 8x8 block reduces algorithm is used herein as.Formula (1): transformation and formula (2): contravariant is changed to two dimension
DCT rudimentary algorithm is as follows:
Wherein, u, v, x, y=0,1,2 ..., N-1；X, y represents the space coordinate of pixel；U, v representation transformation domain coordinate.
Wherein the dct transform (discrete cosine transform) is to change to image on transform domain from transform of spatial domain, i.e., discrete
Cosine transform can eliminate the spatial redundancy of image.Dct transform can be realized that the inverse transformation of DCT is real by formula (4) by formula (3)
It is existing, it is assumed that certain block image indicates the radio-frequency component of transform domain for the f (u, v) in f (x, y) then formula (3) and formula (4), also referred to as hands over
Coefficient is flowed, F (0,0) indicates the low-frequency component in transform domain, also referred to as DC coefficient.But dct transform there are after encoding and decoding not
With problem.In order to solve this problem, the present invention uses 4x4 Integer DCT Transform.The conversion process of image: it can be obtained pair by formula (3)
The 4x4DCT transformation matrix A answered such as formula (5), in formula (5) By A
C/b=0.5 can be enabled,WithIndicate CXCTAs a result the coefficient in each element dot product matrix E on corresponding position
The operation of value, so that deriving can obtain formula (6), in formula (6), C is nuclear matrix,
E is rescaling matrix, CXCTFor kernel mapping, such as Fig. 4, known by the data comparison of 4x4 Integer DCT Transform
The energy of data substantially focuses on upper left side (low frequency signal), and transformed data can be restored completely by inverse transformation
At original data.In order to achieve the purpose that compressed file, the low data of some energy (high-frequency signal) can be discarded, are such as schemed
The image block schematic diagram of compressed transform of the image block shown in 5 after 4x4 Integer DCT Transform.Due to 4x4 Integer DCT Transform
Decorrelation is not high, only carries out Integer DCT Transform to brightness, in a preferred embodiment, the hada of 2x2 is carried out to coloration
Graceful transformation is as shown in formula (7) and Fig. 5.
Wherein it is described be quantified as the gray scale (concentration) of the pixel by 4x4 Integer DCT Transform to be transformed into it is discrete whole
The operation of numerical value, for example, simplest quantization is to be expressed as bianry image using black (0) white (255) two numerical value (i.e. 2 grades),
It is more careful to quantify, and number of greyscale levels (deep or light level) shows the abundanter present invention and supports up to 52 using classification scalar quantizer
Quantization step is indicated with floor, is indexed with quantization parameter QP, and in integer arithmetic, quantizing process can use the fortune of formula (8)
It calculates to realize, inverse quantization mode such as formula (9).Z in formula (8)ijValue after indicating quantified, WijFor through 4x4 Integer DCT Transform
Element afterwards, QP are quantization parameters, and > > indicates binary shift right, and k representative moves to right digit；F is used to round, removes value model
For [0,0.5] × 2k, MFijFor multiplier factor, value depends on the position (i, j) of QP and transformation coefficient, looks into multiplication factor table and obtain
It arrives.Scale factor V in formula (9) can be according to ZijThe difference of different positions and quantization parameter QP in a matrix, looks into scale factor
Table obtains.
The wherein algorithm of image slices vegetarian refreshments comparison, be by after 4x4 Integer DCT Transform and quantization present image and
It is compared referring to image, first, it is determined that changed image block number, judges that the algorithm of image block variation is shown in formula (10) and figure
6, i is the row of pixel in formula (10), and j is the column of pixel, and n, m are variable, and n represents line number, and m represents columns, xD(i, j) is
The data of the pixel of present image block image, xC(i, j) is the data referring to image block image slices vegetarian refreshments, and Δ X is to work as
Preceding image and referring to image pixel number according to comparison result, the pixel is changed if Δ X is not zero, such as scheme
6, when the numerical value dissimilar quantities referring to image and the image block edge quantization point of present image have been more than that certain quantity then thinks
Changed in the block image-region, it is otherwise unchanged.Changed image block number is counted, changed image is obtained
Such as formula of ratio shared by the pixel number that block number includes (11), k represents changed image block number in formula (11), and η expression is asked
As a result, ratio shared by the pixel number that image block number if there is a change includes then determines less than the threshold value of setting
For still image, if it is greater than the threshold value of setting；Secondly, pair of specific pixel is carried out to changed picture block again
Than the algorithm of comparison such as formula (12) and Fig. 6, i is the row of pixel in formula (12), and j is the column of pixel, and n, m are variable, n generation
Table row number, m represent columns, yD(i, j) is the data of the pixel of present image block image, yC(i, j) is referring to image block
The data of image slices vegetarian refreshments, Δ Y be present image and referring to image pixel number according to comparison result, if Δ Y is not zero
Then the pixel is changed, and is not otherwise changed, counts changed pixel number, it is changed to obtain data
Such as formula of ratio shared by pixel (13), N is the changed pixel number of data in formula (13), that ω is as a result, such as
Ratio shared by the changed pixel of fruit data is then determined as still image, if it is greater than setting less than the threshold value of setting
Threshold value be then determined as dynamic image.
I=1 ... n, j=1 ... m, Δ Y=yD(i,j)-yC(i, j) formula (12)
In a preferred embodiment, the second image capture module uses sieve skill C270 high-definition image acquisition module, will
Its rate adaptation for acquiring image is less than or equal to 2 frames/second.In the prior art, the image of headend equipment in monitoring system is adopted
Collection rate has strict requirements, generally requires more than 24 frames/second.This is because monitor video has to smoothness as judicial evidence
It records complete dynamic video process, while being usually not editable to the recording process file of monitor video, otherwise will affect
Fairness of the monitor video as the instrument of evidence.And in the present invention, the second image capture module as just auxiliary monitoring camera
Head, to image acquisition rates, there is no limit if wanted arithmetic speed carrying out dynamic image analysis with the standard of video acquisition
It asks high, increases hard-wired difficulty；Meanwhile after turning down the image acquisition rates of the second image capture module, greatly
It reduces hardware cost and realizes difficulty, while the parameters such as image pixel, clarity can also be turned up, to improve dynamic
The precision of image detection.
Referring to Fig. 7, it is shown a kind of functional block diagram of embodiment of Motion Image Detection system in the present invention, due to mutual
Networking is common wide area network, establishes long-range network via telecom operators, at present broadband access Internet service
Huge numbers of families are come into.The present invention implements to realize that the frequency image monitoring system based on motion image detection can be with based on internet
Existing mature technology is effectively utilized, and is set up relatively low with maintenance cost.Wherein, dynamic image pro cess module is using connection
The RT5350 module that Fa Ke company is researched and developed with MIPS chip.The module integrates MIPS 24Kc 360MHz processor, integrates five ends
Mouth 100 m ethernet interchanger, supports 20/40MHz to simulate bandwidth, and Wi-Fi+ bluetooth Combo design, RT5350 module is supported to abide by
The 802.11n agreement of WLAN is followed, maximum speed is 150Mbps, and RT5350 module supports ap mode access, described above
Function make RT5350 greatly improve the ability of image procossing and the rate of image transmitting.It follows that dynamic image
The hardware configuration of detection system is relatively simple, easy for installation, facilitates the implementation of supervision control engineering transformation.
In a preferred embodiment, the framework Lighttpd server in RT5350 module.Dynamic image pro cess mould
The dynamic image of storage is sent to far by communication loop of the block by Lighttpd server with Http agreement by transmission instruction
Range monitoring terminal or background storage server, meanwhile, remote monitoring terminal can be checked at any time by web browser and be stored
Dynamic image, if belonged in the same local area network with dynamic image pro cess module, remote monitoring terminal can be directly accessed
The Lighttpd server of dynamic image pro cess module institute framework.
In a preferred embodiment, Motion Image Detection system further includes dynamic domain name server (DDNS), remotely
Monitor terminal accesses the data communication between dynamic image pro cess module, comprising the following steps:
Step 1, router virtual dial up on the telephone, and obtain dynamic IP addressing；
Step 2, dynamic domain name client carry new IP address, use to DDNS application more new IP address in solicitation message
Family mark and authentication data；
The authentication data of step 3, DDNS verifying dynamic domain name client, by rear, the corresponding domain name of update user identifier
The IP address of binding；
Step 4, remote monitoring terminal are to fix domain name access dynamic image pro cess module；
The corresponding newest IP address of domain name is returned to remote monitoring terminal by step 5, domain name resolution process, DDNS；
Step 6, remote terminal initiate access request, the letter with authentication information and access in request according to IP address
Breath；
Step 7, dynamic image pro cess module carry out authentication to remote terminal；
Step 8, remote monitoring terminal and dynamic image pro cess module establish connection by Http agreement, interact.
The above description of the embodiment is only used to help understand the method for the present invention and its core ideas.It should be pointed out that pair
For those skilled in the art, without departing from the principle of the present invention, the present invention can also be carried out
Some improvements and modifications, these improvements and modifications also fall within the scope of protection of the claims of the present invention.
The foregoing description of the disclosed embodiments enables those skilled in the art to implement or use the present invention.
Various modifications to these embodiments will be readily apparent to those skilled in the art, as defined herein
General Principle can be realized in other embodiments without departing from the spirit or scope of the present invention.Therefore, of the invention
It is not intended to be limited to the embodiments shown herein, and is to fit to and the principles and novel features disclosed herein phase one
The widest scope of cause.
Claims (5)
1. a kind of video monitoring system based on motion image detection, which is characterized in that including frequency image monitoring system and Dynamic Graph
Picture detection system, the two independent operating and clock synchronize；Described image monitoring system includes the first image capture module, video biography
Defeated unit and background storage server；The Motion Image Detection system includes the second image capture module, dynamic image pro cess
Module and wireless transport module, second image capture module and the first image acquisition module is corresponding and monitoring area
It is identical synchronous with clock；The dynamic image pro cess module receives a frame image of second image capture module and with upper one
Frame reference picture carries out dynamic image analysis, and the frame image is stored and led to if the frame spectral discrimination is dynamic image
It crosses the wireless transport module and dynamic image and its timestamp hair is sent to the background storage server and/or remote through internet
Range monitoring terminal；The background storage server is using the dynamic image and its timestamp to being stored through the first image
Acquisition module acquisition video monitoring information in corresponding time point be marked, and recycle storage when preferentially cover it is unmarked
Video monitoring information；
The dynamic image pro cess module further comprise image receiving unit, image configuration unit, Integer DCT Transform unit,
Quantifying unit, image pixel comparing unit and storage unit, wherein described image receiving unit is for receiving described image acquisition
One frame image of module acquisition is as present image；Described image structural unit is used to carrying out present image into M*M construction to be divided into
M2A fritter, wherein M is the natural number greater than 1；The Integer DCT Transform unit is used to carry out integer to each small images whole
Number dct transform；The quantifying unit is for being quantified each small images in the present image through Integer DCT Transform simultaneously
Obtain image pixel point integer value；Described image pixel comparing unit is used to present image carrying out image pixel with referring to image
Point integer value relatively and count ratio shared by different pixels and by present image information be stored as reference picture letter
Breath determines present image as dynamic image, otherwise, it is determined that present image is quiet if shared ratio is more than the threshold value set
State image；The storage unit is for storing dynamic image；
The first image acquisition module and second image capture module are high-definition camera；
The rate that the first image acquisition module acquires image is greater than 24 frames/second；
Second image capture module uses sieve skill C270 high-definition image acquisition module, and the rate adaptation for being acquired image is
Less than or equal to 2 frames/second.
2. the video monitoring system according to claim 1 based on motion image detection, which is characterized in that the wireless biography
Defeated module is 4G module, 5G module or WIFI module, wirelessly accesses internet.
3. the video monitoring system according to claim 1 or 2 based on motion image detection, which is characterized in that described dynamic
The RT5350 module that state image processing module uses Lian Fake company to be researched and developed with MIPS chip.
4. the video monitoring system according to claim 3 based on motion image detection, which is characterized in that the RT5350
Framework Lighttpd server in module.
5. the video monitoring system according to claim 4 based on motion image detection, which is characterized in that further include dynamic
Name server.
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| CN110602464A (en) * | 2019-10-17 | 2019-12-20 | 异起(上海)智能科技有限公司 | Method and device for saving image storage space during monitoring |
| CN112634111A (en) * | 2020-12-08 | 2021-04-09 | 新疆傲世博祥软件科技有限公司 | Health supervision intelligent integrated management platform |
| CN114842610A (en) * | 2022-05-30 | 2022-08-02 | 深圳市旭景数字技术有限公司 | Intelligent monitoring system based on Internet of things |
| CN115103156A (en) * | 2022-06-10 | 2022-09-23 | 慧之安信息技术股份有限公司 | Dynamic video stream transmission method |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN201430659Y (en) * | 2009-03-20 | 2010-03-24 | 北京世纪东方国铁科技股份有限公司 | Train-ground wireless video monitoring system |
| CN102307280A (en) * | 2011-09-14 | 2012-01-04 | 苏州百滨电子科技有限公司 | Method and apparatus of trigger detection for image acquisition applied for high speed digital camera device |
| CN104581032A (en) * | 2013-10-26 | 2015-04-29 | 西安群丰电子信息科技有限公司 | Data transmission method for video monitoring and a video monitor terminal |
-
2017
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Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN201430659Y (en) * | 2009-03-20 | 2010-03-24 | 北京世纪东方国铁科技股份有限公司 | Train-ground wireless video monitoring system |
| CN102307280A (en) * | 2011-09-14 | 2012-01-04 | 苏州百滨电子科技有限公司 | Method and apparatus of trigger detection for image acquisition applied for high speed digital camera device |
| CN104581032A (en) * | 2013-10-26 | 2015-04-29 | 西安群丰电子信息科技有限公司 | Data transmission method for video monitoring and a video monitor terminal |
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