CN209358659U - A kind of Identification of Images monitoring system based on Hadoop framework - Google Patents
A kind of Identification of Images monitoring system based on Hadoop framework Download PDFInfo
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- CN209358659U CN209358659U CN201821701313.XU CN201821701313U CN209358659U CN 209358659 U CN209358659 U CN 209358659U CN 201821701313 U CN201821701313 U CN 201821701313U CN 209358659 U CN209358659 U CN 209358659U
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- identification
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Abstract
The Identification of Images monitoring system based on Hadoop framework that the utility model discloses a kind of, comprising: multiple video capture devices, Hadoop cloud storage platform and master control device；Video capture device is arranged on the multiple cell gate doorways in community, and video capture device includes: camera, for acquiring video information；Microprocessor ARM, is connected with camera, for receiving the video information of camera transmission, and pre-processes to video information；NB-IoT communications module is connected with microprocessor ARM, Hadoop cloud storage platform and master control device respectively；Control unit CPU is connected with camera and NB-IoT communications module respectively.The monitoring system of the utility model is during the work time, video capture device is obtained in real time after video information pre-processes it, it is sent in Hadoop cloud storage platform and is stored by NB-IoT communications module, while solving the storage problem of mass data in existing monitoring system, the transmission quality of remote information transmission is also ensured.
Description
Technical field
The utility model relates to monitoring system technical field more particularly to a kind of Identification of Images prisons based on Hadoop framework
Control system.
Background technique
In order to ensure the safety of community, it will usually at each gate inhibition of community install camera, to enter and leave personnel into
Row monitoring.
Current community's Identification of Images monitoring system is primarily present following problem: the camera acquisition on each unit doorway comes
Video information all pass through network concentration of transmissions to Community Watch room server store, cause the server stress of monitoring room too
Greatly, network bandwidth occupies too many, the problem of hard-disc storage insufficient space often occurs；Data concentration of transmissions is slow, and memory space expands
Malleability is poor, and data parallel access efficiency is low.
Therefore, it is necessary to a kind of novel monitoring systems, can be carried out massive video data storage, while at low cost, reliability
Height is easily managed.
Utility model content
The main purpose of the utility model is that proposing a kind of Identification of Images monitoring system based on Hadoop framework, solve
The storage problem of mass data in existing monitoring system.
To achieve the above object, the utility model provides a kind of Identification of Images monitoring system based on Hadoop framework,
It is characterized in that, comprising: multiple video capture devices, Hadoop cloud storage platform and master control device；The Hadoop cloud storage
Platform is the distributed computing server cluster based on Hadoop；
The video capture device is arranged on the multiple cell gate doorways in community, and the video capture device includes:
Camera, for acquiring video information；
Microprocessor ARM is connected with the camera, the video information sent for receiving the camera, and
The video information is pre-processed；
NB-IoT communications module, respectively with the microprocessor ARM, the Hadoop cloud storage platform and the master control
Device is connected, described for the pretreated video information from the microprocessor ARM received to be sent to
Hadoop cloud storage platform, and the control instruction from the master control device is received, and the control instruction is forwarded to
Control unit CPU；
Described control unit CPU is connected with the camera and the NB-IoT communications module respectively, described for receiving
The control instruction of NB-IoT communications module forwarding, and the camera is controlled according to the control instruction and is worked.
In one embodiment of the utility model, it is preferable that the NB-IoT communications module include NB-IoT module,
ESIM card module and radio-frequency antenna, the eSIM card module and radio-frequency antenna are connect with the NB-IoT module.
In one embodiment of the utility model, it is preferable that the Hadoop cloud storage platform includes multiple servers；
Wherein, a server is as metadata node Namenode, respectively with the NB-IoT communications module and described
Master control device is connected, and fills for receiving the video information from the NB-IoT communications module and coming from the master control
The solicited message set；
Remaining server is connected, for depositing as back end Datanode with the server as Namenode node
Store up the video information.
In one embodiment of the utility model, it is preferable that the video capture device further include:
Mobile bracket, the mobile bracket are connected with described control unit CPU, and the camera is mounted on the mobile branch
On frame, the mobile bracket can be rotated on horizontally or vertically face.
In one embodiment of the utility model, it is preferable that the master control device includes:
Identification of Images processing module, the Identification of Images processing module are connected with the cloud storage platform, and the portrait is known
Other processing module carries out at Identification of Images for receiving the video information from the cloud storage platform, and to the video information
Reason.
In one embodiment of the utility model, it is preferable that the master control device further include:
Show that equipment, the display equipment are connected with the Identification of Images processing module, for showing that Identification of Images is handled
Video information afterwards.
In one embodiment of the utility model, it is preferable that the Identification of Images monitoring system further include:
At least one monitor terminal, each monitor terminal and the master control device are wirelessly connected.
In one embodiment of the utility model, it is preferable that the Identification of Images monitoring system further include:
Memory, the memory are connected with the microprocessor ARM, for storing the pretreated video letter
Breath.
In one embodiment of the utility model, it is preferable that the monitor terminal is smart phone, computer and puts down
One of plate computer is a variety of.
In one embodiment of the utility model, it is preferable that the master control device further include:
Alarm is connected with the Identification of Images processing module, for detecting institute in the Identification of Images processing module
When stating video information and meeting preset alarm rule, prompt messages are exported.
The monitoring system of the utility model during the work time, is installed in the doorway equipotential of each entrance and cell gate
After the real-time acquisition video information of the video capture device 10 set pre-processes it, it is sent in Hadoop cloud storage platform
It is stored, solves the storage problem of mass data in existing monitoring system, also, passed by NB-IoT communications module
It is defeated, while ensureing that Identification of Images monitoring system requires the rate of information throughput, also ensure the transmission of remote information transmission
Quality.
The above description is merely an outline of the technical solution of the present invention, in order to better understand the skill of the utility model
Art means, and can be implemented in accordance with the contents of the specification, below on the preferred embodiment of the present invention and the accompanying drawings in detail
It describes in detail bright as after.
Detailed description of the invention
Fig. 1 is a kind of knot for Identification of Images monitoring system based on Hadoop framework that the embodiments of the present invention provide
Structure schematic diagram；
Fig. 2 is another Identification of Images monitoring system based on Hadoop framework that the embodiments of the present invention provide
Structural schematic diagram；
Fig. 3 is a kind of structural schematic diagram for Hadoop cloud storage platform that the embodiments of the present invention provide.
The embodiments will be further described with reference to the accompanying drawings for the realization, functional characteristics and advantage of the utility model aim.
Specific embodiment
Further to illustrate that the utility model is the technical means and efficacy reaching predetermined purpose of utility model and being taken,
Below in conjunction with attached drawing and preferred embodiment, to specific embodiment, structure, feature and its function according to the present utility model application
Effect, detailed description is as follows.In the following description, what different " embodiment " or " embodiment " referred to is not necessarily same implementation
Example.In addition, the special characteristic, structure or feature in one or more embodiments can be combined by any suitable form.
The Identification of Images monitoring system according to the utility model some embodiments is described below with reference to Fig. 1 to Fig. 3.
As shown in Figure 1, a kind of Identification of Images prison based on Hadoop framework that one embodiment of the utility model proposes
Control system, Identification of Images monitoring system include: multiple video capture devices 10, Hadoop cloud storage platform 20 and master control device
30；Hadoop cloud storage platform 20 is the distributed computing server cluster based on Hadoop；The setting of video capture device 10 exists
The multiple cell gate doorways in community, video capture device 10 includes: camera 11, for acquiring video information；Microprocessor
ARM12 is connected with camera 11, for receiving the video information of the transmission of camera 11, and pre-processes to video information；
NB-IoT communications module 13 is connected with microprocessor ARM12, Hadoop cloud storage platform 20 and master control device 30 respectively, uses
In the pretreated video information from microprocessor ARM12 received is sent to Hadoop cloud storage platform 20, with
And the control instruction from master control device 30 is received, and control instruction is forwarded to control unit CPU14；Control unit
CPU14 is connected with camera 11 and NB-IoT communications module 13 respectively, for receiving the control of the forwarding of NB-IoT communications module 13
Instruction, and camera 11 is controlled according to control instruction and is worked.
In the above-described embodiments, each entrance and doorway of cell gate of community etc. is arranged in video capture device 10
Position, it is single that video capture device 10 specifically includes camera 11, microprocessor ARM12, NB-IoT communications module 13 and control
First CPU14 after camera 11 collects video information or image information, is sent in microprocessor ARM12 and is pre-processed,
Pretreatment includes the processes such as noise reduction, compression, by Image Compression, an identifiable facial image, and compressed data
Amount can achieve 20kbyte or so, under the speed uplink of the current 67kbps of NB-IoT, can upload within 3 seconds or so an image,
Video or image information after treatment passes through NB-IoT communications module 13 and is sent to cloud storage platform 20, for master control dress
Set 30 get video or image information from Hadoop cloud storage platform 20 after, by NB-IoT communications module 13 to control unit
CPU14 sends control instruction, to control the work of camera 11 to obtain the video image information of different angle, wherein NB-
IoT communications module 13 is as video capture device 10 and the extraneous component for carrying out information exchange, compared to traditional wire communication
Or the communication technologys such as bluetooth, Wi-Fi, the NB-IoT communication technology have the advantages such as long transmission distance, low in energy consumption.
Hadoop is the cloud computing framework that distributed treatment can be carried out to big data, main to use Google's
The operation submitted can be divided into several point of task, be then dispensed for each node and calculated by MapReduce algorithm
And storage.In addition, Hadoop, which additionally provides one, possesses the distributed file system (HDFS) of high-throughput, and can efficiently manage
Manage the data storage of each node.Hadoop is implanted in the equipment of oneself using the advantage of distributed file system, with
Just composition has the Hadoop cluster of self-character, allows user effectively to manage calculating and storage resource, its framework
Simply, meet requirement of the big data processing system to real-time.
The monitoring system of the utility model during the work time, is installed in the doorway equipotential of each entrance and cell gate
After the real-time acquisition video information of the video capture device 10 set pre-processes it, it is sent in Hadoop cloud storage platform
It is stored, solves the storage problem of mass data in existing monitoring system, also, passed by NB-IoT communications module
It is defeated, while ensureing that Identification of Images monitoring system requires the rate of information throughput, also ensure the transmission of remote information transmission
Quality.
As shown in figure 3, in one embodiment of the utility model, it is preferable that Hadoop cloud storage platform 20 includes more
Platform server；Wherein, server 21 is used as metadata node Namenode, respectively with NB-IoT communications module 13 and master control
Device 30 processed is connected, for receiving the video information from NB-IoT communications module 13 and asking from master control device 30
Seek information；Remaining server 22 is used as back end Datanode, is connected with the server as Namenode node, is used for
Store video information.
In the above-described embodiments, Hadoop cloud storage platform 20 includes a metadata node Namenode server, is used
The storage video letter in the solicited message for receiving video information and master control device 30, metadata node Namenode server
Back end where the filename of breath, blocks of files and blocks of files passes through metadata node Namenode server admin and regards
The distribution of frequency file stores, and may also set up another server as the spare of metadata node Namenode server
Server, other servers are as back end Datanode, for storing video information.
As shown in Fig. 2, in one embodiment of the utility model, it is preferable that NB-IoT communications module 13 includes NB-
IoT module 131, eSIM card module 132 and radio-frequency antenna 133, eSIM card module 132 and radio-frequency antenna 133 are and NB-
IoT module 131 connects.
In the above-described embodiments, information exchange, radio-frequency antenna are carried out by NB-IoT module 131 and other equipment or module
133 ensure that transmission information strength, eSIM card module 132 are built in NB-IoT communications module 13, be NB-IoT module 131
Information exchange provides basis, and wherein NB-IoT module 131 is NB-IoT chip.
As shown in Fig. 2, in one embodiment of the utility model, it is preferable that video capture device 10 further include: mobile
Bracket 15, mobile bracket 15 are connected with control unit CPU, and camera 11 is mounted on mobile bracket 15, and moving bracket 15 can be
Horizontally or vertically rotated on face.
In the above-described embodiments, camera 11 is mounted on mobile bracket 15, mobile bracket 15 and control unit CPU14
Connection after control unit CPU14 receives the control instruction of master control device transmission, controls mobile bracket 15 according to control instruction
It is rotated in horizontal or vertical direction, so that camera is collected the video image information of different angle, such as face a danger
Personnel, can be with the information for getting personnel at risk of multi-angle.Wherein, master control device 30 passes through NB-IoT communications module 13
Control instruction is sent to control unit CPU14, is rotated to control mobile bracket 15 on horizontally or vertically face to get more
The video image information of multi-angle.
In one embodiment of the utility model, it is preferable that master control device 30 includes: Identification of Images processing module
31, Identification of Images processing module 31 is connected with cloud storage platform 20, and Identification of Images processing module 31 comes from cloud storage for receiving
The video information of platform 20, and Identification of Images processing is carried out to video information.
In the above-described embodiments, master control device 30 can obtain video image information from cloud storage platform 20, obtain
To video image information received by Identification of Images processing module 31, thus to video image information carry out Identification of Images processing and
Analysis, such as according to the figure information that identifies, judge its whether be public security system registration fugitive personnel, if encountering public security system
System registers the abnormal conditions such as fugitive personnel are visiting or personnel cause danger.Wherein, Identification of Images processing module 31 can use
Middle control wisdom FAM510 face mould group, FAM520 face mould group, FAM100 face recognition module etc. any one or more can
To realize the module of recognition of face.
In one embodiment of the utility model, it is preferable that master control device 30 further include: display equipment 32, display
Equipment 32 is connected with Identification of Images processing module 31, video information that treated for showing Identification of Images.
In the above-described embodiments, display equipment 32 can be display wall, and treated for display Identification of Images processing module 31
Video information, and real-time display is carried out to the video image information of multiple cameras 11 acquisition.
In one embodiment of the utility model, it is preferable that Identification of Images monitoring system further include: at least one monitoring
Terminal 40, each monitor terminal 40 are wirelessly connected with master control device 30；Monitor terminal 40 is smart phone, computer and puts down
One of plate computer is a variety of.
In the above-described embodiments, Identification of Images monitoring system further includes at least one monitor terminal 40, master control device 30
It sends video image information in each monitor terminal 40 by way of wireless transmission, for different monitor terminals,
Master control device 30 can send the different corresponding video image informations of camera 11, for example, different unit residents is by intelligence
For energy mobile phone as monitor terminal, master control device 30 sends camera shooting corresponding with resident's flat into the smart phone of resident
The video image information of first 11 acquisition, resident can be monitored residential security by smart phone.
In one embodiment of the utility model, it is preferable that Identification of Images monitoring system further include: memory 50 is deposited
Reservoir 50 is connected with microprocessor ARM12, for storing pretreated video information.
In the above-described embodiments, for memory 50 in transmission swinging of signal timing, storage microprocessor ARM12 is pretreated
Video image information guarantees that information is not lost in case the storage information in memory 50 occurs in steady signal transmission
It loses.
In one embodiment of the utility model, it is preferable that master control device 30 further include: alarm 33, with portrait
Recognition processing module 31 is connected, for when Identification of Images processing module 31 detects that video information meets preset alarm rule,
Export prompt messages.
In the above-described embodiments, when Identification of Images processing module 31 detects that video image information meets preset alarm rule
When, for example, fugitive personnel are visiting, alarm command occurs to alarm 33, alarm 33 exports prompt messages, warning note
Information can be showed in the form of voice, vibration, light, video, image etc..
The above is only the preferred embodiments of the utility model, and therefore it does not limit the scope of the patent of the utility model, all
Equivalent structure or equivalent flow shift made based on the specification and figures of the utility model, is applied directly or indirectly in
Other related technical areas are also included in the patent protection scope of the utility model.
Claims (10)
1. a kind of Identification of Images monitoring system based on Hadoop framework characterized by comprising multiple video capture devices,
Hadoop cloud storage platform and master control device；The Hadoop cloud storage platform is the distributed computing services based on Hadoop
Device cluster；
The video capture device is arranged on the multiple cell gate doorways in community, and the video capture device includes:
Camera, for acquiring video information；
Microprocessor ARM is connected with the camera, the video information sent for receiving the camera, and to institute
Video information is stated to be pre-processed；
NB-IoT communications module, respectively with the microprocessor ARM, the Hadoop cloud storage platform and the master control device
It is connected, for the pretreated video information from the microprocessor ARM received to be sent to the Hadoop cloud
Storage platform, and the control instruction from the master control device is received, and the control instruction is forwarded to control unit
CPU；
Described control unit CPU is connected, for receiving the NB- respectively with the camera and the NB-IoT communications module
The control instruction of IoT communications module forwarding, and the camera is controlled according to the control instruction and is worked.
2. system according to claim 1, which is characterized in that
The Hadoop cloud storage platform includes multiple servers；
Wherein, a server is as metadata node Namenode, respectively with the NB-IoT communications module and the master control
Device processed is connected, for receiving the video information from the NB-IoT communications module and asking from the master control device
Seek information；
Remaining server is connected, for storing as back end Datanode with the server as Namenode node
State video information.
3. system according to claim 1, which is characterized in that
The NB-IoT communications module includes NB-IoT module, eSIM card module and radio-frequency antenna, the eSIM card module with
And radio-frequency antenna is connect with the NB-IoT module.
4. system according to claim 1, which is characterized in that the video capture device further include:
Mobile bracket, the mobile bracket are connected with described control unit CPU, and the camera is mounted on the mobile bracket
On, the mobile bracket can be rotated on horizontally or vertically face.
5. system according to claim 1, which is characterized in that the master control device includes:
Identification of Images processing module, the Identification of Images processing module is connected with the cloud storage platform, at the Identification of Images
Reason module carries out Identification of Images processing for receiving the video information from the cloud storage platform, and to the video information.
6. system according to claim 5, which is characterized in that the master control device further include:
Show that equipment, the display equipment are connected with the Identification of Images processing module, treated for showing Identification of Images
Video information.
7. system according to any one of claim 1 to 6, which is characterized in that the Identification of Images monitoring system is also wrapped
It includes:
At least one monitor terminal, each monitor terminal and the master control device are wirelessly connected.
8. system according to any one of claim 1 to 6, which is characterized in that the Identification of Images monitoring system is also wrapped
It includes:
Memory, the memory are connected with the microprocessor ARM, for storing the pretreated video information.
9. system according to claim 7, which is characterized in that
The monitor terminal is one of smart phone, computer and tablet computer or a variety of.
10. system according to any one of claim 1 to 6, which is characterized in that the master control device further include:
Alarm is connected with the Identification of Images processing module, for detecting the view in the Identification of Images processing module
When frequency information meets preset alarm rule, prompt messages are exported.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201821701313.XU CN209358659U (en) | 2018-10-19 | 2018-10-19 | A kind of Identification of Images monitoring system based on Hadoop framework |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201821701313.XU CN209358659U (en) | 2018-10-19 | 2018-10-19 | A kind of Identification of Images monitoring system based on Hadoop framework |
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| CN209358659U true CN209358659U (en) | 2019-09-06 |
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| CN201821701313.XU Expired - Fee Related CN209358659U (en) | 2018-10-19 | 2018-10-19 | A kind of Identification of Images monitoring system based on Hadoop framework |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112433260A (en) * | 2020-10-30 | 2021-03-02 | 李世超 | Security inspection imaging system |
| CN113163166A (en) * | 2021-03-30 | 2021-07-23 | 张栋良 | Security monitoring device based on big data and use method thereof |
-
2018
- 2018-10-19 CN CN201821701313.XU patent/CN209358659U/en not_active Expired - Fee Related
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112433260A (en) * | 2020-10-30 | 2021-03-02 | 李世超 | Security inspection imaging system |
| CN113163166A (en) * | 2021-03-30 | 2021-07-23 | 张栋良 | Security monitoring device based on big data and use method thereof |
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Granted publication date: 20190906 Termination date: 20211019 |