CN106331589A - Webcam system and remote monitoring method thereof - Google Patents
Webcam system and remote monitoring method thereof Download PDFInfo
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- CN106331589A CN106331589A CN201510358177.3A CN201510358177A CN106331589A CN 106331589 A CN106331589 A CN 106331589A CN 201510358177 A CN201510358177 A CN 201510358177A CN 106331589 A CN106331589 A CN 106331589A
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Abstract
The invention discloses a webcam system and a remote monitoring method thereof. The webcam system comprises an image database, a webcam, an identification module and a processing module, wherein the webcam is used for capturing at least one captured image; the identification module is used for identifying the at least one captured image to capture a plurality of pieces of first facial feature data streaming; the first facial feature data streaming forms a first human face image; and the processing module is coupled with the image database, and used for judging whether the first facial feature data streaming is classified into one group in the image database or not, and sending a notification message according to a judging result. According to the webcam system and the remote monitoring method, whether to send the notification message or not can be determined according to the result of judgment about whether the first facial feature data streaming is classified into the group or not, that is, the notification message is sent intelligently, so that the problem that people are bored with mis-sent information is solved, and the usefulness and the convenience of a monitoring system are improved.
Description
[technical field]
The present invention is to monitor method, particularly a kind of network camera system and the remotely side of monitoring about one
Method.
[background technology]
In the streets most communities, office block and place of business are in order to ensure the safety of its internal staff and property,
Safety system is most likely set and saves personnel from damage, by the detecting of safety system and the monitoring of saving personnel from damage,
To ensure community, office block or the safety of place of business, in order to avoid the illegal situation such as the thieves or robbers who act under cover of night or robber's invasion is sent out
Raw.
Traditional safety system, in setup of entrances and exits monitoring camera, is then led to by the monitoring personnel of Surveillance center
Cross viewing monitoring camera captured whether image is suspicious people to monitor the turnover personnel of gateway, gate
Scholar.But, the limited time that general human eye focuses on, therefore do not stop when the eyes of monitoring personnel
Watch attentively after monitoring client screen exceedes the time focused on, even if suspicious personage can be caused to enter monitoring
Screen, also will not go to notice, and cause the leak of monitoring.Furthermore, when the number of the personnel that come in and go out of gateway
When measuring numerous, monitoring personnel as large contingent and cannot quickly judge, in turn result in misjudgment.
In recent years, the method for human face detection was constantly updated progressive so that human face detection and tracer technique are gradually
It is widely used on safety system, with the accurate and quick suspicious personage of judgement.Safety system is detectd by face
Survey and the suspicious personage of tracer technique automatic decision.In time finding suspicious personage, it is abnormal that safety system can export one
Signal, to circulate a notice of associated monitoring personnel.But, when the personnel that come in and go out large number of of gateway, relevant
Monitoring personnel still can the interference of the most notified information.
For the problems referred to above, it is necessary to propose a solution in fact, improves foregoing problems, and so as to promoting
Monitoring efficiency.
[summary of the invention]
In view of the above problems, the present invention provides a kind of network camera system and long-distance monitoring method thereof, can be certainly
Dynamic monitoring and the information that sends intelligently, to notify user, reduce whereby and distribute out information arbituarily and make user can't bear it and disturb,
And then increase serviceability and the convenience of monitoring system.
In one embodiment, the long-distance monitoring method of a kind of network camera, it comprises: captures at least one and picks
Take image；Identification at least one pick-up image is constituted some first face characteristic numbers of the first face image to capture
According to crossfire (data stream)；Judge that the first face characteristic data string stream has been sorted out the most to image database
Group in produce judged result；And decide whether to send announcement information according to judged result.
In another embodiment, a kind of network camera system, it comprises: image database, webcam
Machine, identification module and processing module.Network camera captures at least one pick-up image.Identification module identification is picked
Take image to capture some first face characteristic data string streams, and the first face characteristic data string stream constitutes the
One face image.Processing module couples image database.Processing module judges the first face characteristic data string stream
The most sort out to the group of image database, and sent announcement information according to judged result.
To sum up, the network according to the invention camera chain and long-distance monitoring method thereof are able to according to judging first
Whether face characteristic data stream is positioned at the judged result in group, and determines send announcement information or do not send
Announcement information, by information of giving notice intelligently, reduces information of distributing arbituarily out whereby, and then increases monitoring system
The serviceability of system and convenience.
[accompanying drawing explanation]
Fig. 1 is the Organization Chart of the network camera system of one embodiment of the invention.
Fig. 2 is the flow chart of the long-distance monitoring method of one embodiment of the invention.
Fig. 3 is the thin portion flow chart of an embodiment of step S03 in Fig. 2.
Fig. 4 is the flow chart of the long-distance monitoring method of another embodiment of the present invention.
Fig. 5 is present invention group's schematic diagram in the application program of an embodiment.
Fig. 6 is the schematic diagram of present invention construction group in the application program of an embodiment.
Fig. 7 is the flow chart that the present invention decides whether to send the first embodiment of notice.
Fig. 8 is the flow chart that the present invention decides whether to send the second embodiment of notice.
[detailed description of the invention]
Fig. 1 is the Organization Chart of an embodiment of inventive network camera chain 1.Refer to Fig. 1, webcam
Machine system 1 comprises network camera 10, identification module 20, image database 30, processing module 40 and electronics
Device 50, wherein electronic installation 50 can be an intelligent mobile phone, when implementing the present invention, the non-use of intelligent mobile phone
To limit the present invention.Identification module 20 is coupled between network camera 10 and image database 30, processes mould
Block 40 couples with identification module 20, image database 30 and electronic installation 50 respectively.Processing module 40 be through
Coupled with electronic installation 50 by a network (not shown).In certain embodiments, network camera 10 can be through
Coupled with identification module 20 by a network (not shown).In other words, identification module 20, image database 30
And processing module 40 energy framework is in a server (not shown), and this server is via network and net
Network camera 10 couples.Can realize with one or more processing units with processing module 40 as identification module 20.
Each processing unit can be microprocessor, microcontroller, digital signal processor, micro calculator, central authorities
Processor and/or any electronic building brick based on operational order operation signal (simulation and/or numeral).
In further embodiments, network camera 10 and identification module 20 can be integrated into a photographic attachment, and
Identification module 20 couples with processing module 40 via a network (not shown) again.In other words, image database
30 and processing module 40 can framework in the server, and the processing module 40 in this server is via network
Couple with the identification module 20 in photographic attachment.
Fig. 2 is a flow chart of long-distance monitoring method of the present invention.Referring to Fig. 1 and Fig. 2, network camera 10 is used
To capture at least one pick-up image (step S01), pick-up image is sent to identification module 20 the most again.Its
In, pick-up image can be dynamic image or static image, and network camera 10 can meet wire transmission mould
Pick-up image is sent to identification module 20 by formula or wireless communication mode.
After identification module 20 automatic network camera 10 receives pick-up image, so as to identification pick-up image, and capture
Some first face characteristic data string streams (Data Stream) (step S02).It is to say, identification module
20 when utilizing image identification program, can be constantly by capturing the data stream of many and group on continuous time
Close out the image (that is, the first face image) meeting face.In short, each first face image is by many
Individual first face characteristic data string stream is constituted.In order to clearly describe, below by first face image
Multiple first face characteristic data string streams are called one group of first face characteristic data string stream.
More specifically, the first face image described in aforementioned is (that is, by multiple first face characteristics
The face image that crossfire is constituted) stranger or the face not being familiar with can be referred to.
Then, each group of the first face characteristic data string stream obtained by processing module 40 judges identification module 20
The most sort out to the group of image database 30 (step S03), produced a judged result, and root
It is judged that result and decide whether send announcement information (step S05).About identification module 20 how according to sentencing
Disconnected result and decide whether that sending announcement information asks for an interview description after a while.
Fig. 3 is the thin portion flow chart of an embodiment of step S03 in Fig. 2.Image database 30 store one or
Multiple groups, and each group has one or more second face image.Wherein, each second face shadow
Seem to be made up of some second face characteristic data stream.In order to clearly describe, below by second people
Multiple second face characteristic data stream of face image are referred to as one group of second face characteristic data stream.
More specifically, the second face image described in aforementioned is (that is, by some second face characteristic data
The face image that crossfire is constituted) household can be referred to or face that user is familiar with.
With continued reference to Fig. 3, processing module 40 is in receiving one group of first face characteristic number from identification module 20
After crossfire, processing module 40 first judges each group of the second face characteristic data stored by image database 30
Whether crossfire organizes the first face characteristic data string stream for being substantially the same (step S031) with this.
If processing module 40 judges that the second face characteristic data stream and the first face characteristic data string stream are essence
Time upper identical (representing the first face characteristic data string stream to have sorted out to the group of this image database 30),
Processing module 40 can produce substantially identical judged result (step S032).
If processing module 40 judges that the second face characteristic data stream and the first face data stream are essence not phase
During with (representing the first face characteristic data string stream not sort out to the group of this image database 30), process
Module 40 can produce the different judged results of essence (step S033).
For example, this is organized the first face characteristic data string stream and is stored up with image database 30 by processing module 40
Each group of the second face characteristic data stream deposited compares, to obtain itself and each group of the second face characteristic data
The similarity of crossfire.When similarity is more than a threshold value, processing module 40 judges that this organizes the first face characteristic
It is substantially identical that data stream organizes the second face characteristic data stream with this；Otherwise, when similarity is not more than this
During threshold value, processing module 40 then judges that this organizes the first face characteristic data string stream and organizes the second face characteristic with this
Data stream is that essence differs.Wherein, similarity i.e. represents that this organizes in the first face characteristic data string stream
The number that data are identical content in data, such as characteristic vector, with one group of second face characteristic data stream
The ratio of amount, ratio is the biggest, and to represent similarity the highest.
Fig. 4 is the flow chart of the long-distance monitoring method of another embodiment of the present invention.Refer to Fig. 1 and Fig. 4, Yu Jin
Before row monitoring, user can be by the group in electronic installation 50 construction image database 30.Work as electronic installation
During 50 execution setting program, electronic installation 50 can receive alternative face image (step S001), and will receive
Alternative face image show on the screen of electronic installation 50, select for user.User utilizes electricity
The user interface of sub-device 50 selects some alternative face image therein, causes electronic installation 50 to select these a little
Some alternative face image selected by user in alternative face image is as the second face image (i.e., newly
The second face image produced) (step S002).In this, user also utilizes the user interface of electronic installation 50
Selection group to be added project, and the second face characteristic of the second newly generated face image is stored with this group
Data stream is (step S003) in image database 30.Utilize this setting program, can be in advance by each second
Second face characteristic data stream of face image ranges in specific group, when monitoring for subsequent remote,
With the first face characteristic data string flow ratio to.
Fig. 5 is present invention group's schematic diagram in the application program of an embodiment.The screen of electronic installation 50
Group's project (such as family, employee, visitor) of the display picture Zhong Youge group on 510.In user point
After group's project of a choosing wherein group, above it, member of selected for display correspondence group (is sorted out to it
In the second face image).For example, when user selected " family ", then above it, correspondence is gone out
Existing " Chen Yibao ", " Chen Erbao " and the head portrait master data indivedual with it of " Chen Sanbao ".
Fig. 6 is the schematic diagram of present invention construction group in the application program of an embodiment.When user is intended to pass through
During electronic installation 50 construction group, the setting item that user can first pass through electronic installation 50 and be provided performs setting
Program, now the display picture of electronic installation 50 can show as shown in Figure 6, its can show multiple the most classified extremely
The alternative face image of group, such as " Wang Daming ", " gold three essentials-essence " and " Xu great Bao ".Now, user can
Click one or more alternative face image (such as " Wang Daming " and " Xu great Bao " of head portrait 3 of head portrait 1),
The group's (at arrow as shown in Figure 6) clicked the most again to " family ", the one-tenth can being chosen to whereby
Member increases the group to " family " newly.
It addition, user can click the one of each group below such as Fig. 6, such as, select the group to " family "
Group, user must click member therein via the page of " family ", delete the member being chosen to whereby.
Furthermore, user also can set the notice of each group whereby and set, such as, can set and belong in " family "
Member's information to be given notice；Or also can set the member belonged in " family " not give notice information.
Additionally, it is possible to set the wherein member in " family " or part member's information to be given notice or do not send out
Put up a notice information.
In certain embodiments, alternative face image may be from any Image sources, such as: long-range image
Various in the built-in image database (e.g., photo album or photo album) of data base 30, electronic installation 50, network
Image database or other image source of image can be provided, in other words, in time performing setting program, electronics
Device 50 can be from built-in image database (e.g., the photograph of long-range image database 30, electronic installation 50
Collection or photo album), various image databases in network or other the image source of image can be provided to receive alternative people
Face image, the present invention is not for limiting.
In certain embodiments, each group has respective notice setting, such as: whether notify, notify
Means, content of announcement or a combination thereof etc..Notification means can such as news in brief notice, Advise By Wire, push away broadcast notice,
Mail notice etc..For example, when group is family, the notice of this group is set as not notifying.Work as group
When group is for visitor, the notice of this group is set as pushing away broadcasts notice.When group is employee, leading to of this group
Know and be set as that mail notifies.Wherein, the also visual demand of monitoring personnel or user defined in group makes an amendment.
In some embodiments, it is possible to when the information of giving notice to monitoring personnel or user, monitor personnel
Or user can drive a video calling program via announcement information, regard with visitor for monitoring personnel or user
Frequency call.Such as monitoring personnel can click in monitored picture and push away the announcement information broadcast, and are now placed in visitor face
Before display device can be driven, and with monitoring personnel monitored picture produce link, can reach video whereby
The purpose of call.Additionally, the notice that user also utilizes the user interface of electronic installation 50 to set each group sets
Fixed.
Fig. 7 to Fig. 8 respectively present invention decides whether the stream of first embodiment and the second embodiment sending notice
Cheng Tu.
Refer to Fig. 7, in first embodiment, situation in the first face characteristic data string stream for sorted out to
Give notice time in group (that is, not giving notice when the first face characteristic data string stream is not sorted out)；Change speech
It, the notice of group is set as giving notice.In this embodiment, network camera 10 captures pick-up image
(step S01), after being recognized as the first face characteristic data string stream (step S02) via identification module 20, place
Reason module 40 judges that the first face characteristic data string stream is the most categorized in the group of image database 30
(step S03).
When processing module 40 judges the first the most categorized group to image database 30 of face characteristic data string stream
In early to have the image of Chen little Ming in (step S03), the i.e. group of " family " built-in wherein, so processing
Module 40 can send this announcement information (step S041) according to this.When processing module 40 judges the first face characteristic number
According to when not sorting out to the group of image database 30 (step S03), processing module 40 produces it and judges knot
Fruit is that the first face characteristic data string stream is not sorted out to the group of image database 30, and in the present embodiment
In will not send this announcement information (step S042).
It is to say, when the first face characteristic data string stream has and the member (the in the group of image database 30
Two face characteristic data stream) when being substantially the same (i.e., having ranged in group), then can send logical in real time
Know that information is to monitoring personnel or user.Otherwise, when the first face characteristic data string stream does not has and image data
When member's (the second face characteristic data stream) in the group in storehouse 30 is identical (not ranging in group),
Information of then will not giving notice is to monitoring personnel or user.
For example, with reference to Fig. 7, with group as family and as a example by its notice is set as giving notice, when old one
When treasured is captured image by network camera 10, identification module 20 picks out the face image corresponding to Chen Yibao,
And processing module 40 judges that the face image of an old treasured is the most classified and is associated with the group of image database 30
In " family ", then processing module 40 can be given notice information.
Referring to Fig. 8, in the second embodiment, situation is for wanting when the first face characteristic data string stream is not sorted out
Information of giving notice (that is, information of the most not giving notice when the first face characteristic data string stream has been sorted out)；
In other words, the notice of group is set as giving notice.When processing module 40 judges the first face characteristic
When not sorting out to the group of image database 30 (step S03), processing module 40 is based on notice setting
Information of giving notice (step S043).
Otherwise, when processing module 40 judges that the first face characteristic data string stream is as sorting out to image database 30
Group in (step S03) time, processing module 40 based on notice setting will not send announcement information (step
S044)。
It is to say, when the first face characteristic data string stream has and the member (the in the group of image database 30
Two face characteristic data stream) when being substantially the same (i.e., having ranged in group), then will not give notice
Information is to monitoring personnel or user.Otherwise, when the first face characteristic data string stream does not has and image database
When member's (the second face characteristic data stream) in the group of 30 is identical (not ranging in group), then
Information of giving notice in real time is to monitoring personnel or user.
For example, as a example by group is set as not giving notice for " employee " and its notice, when employee enters
When entering gate and captured pick-up image by network camera 10, processing module 40 will not be sent out based on notice setting
Send announcement information.But, when non-employee enters gate and is captured pick-up image by network camera 10,
Processing module 40 then can send announcement information to monitoring personnel or user.Consequently, it is possible to the present invention can avoid
Give notice information always, and then avoid the most notified information of monitoring personnel to disturb.
In sum, the network according to the invention camera chain and long-distance monitoring method thereof can be according to judging
Whether one face characteristic data stream is positioned at the judged result in group, and determines send announcement information or do not send out
Send announcement information, by information of giving notice intelligently, reduce whereby and distribute out information arbituarily and make personnel can't bear it
Disturb, and then increase serviceability and the convenience of monitoring system.
Claims (11)
1. the long-distance monitoring method of a network camera, it is characterised in that comprise the steps of
Capture at least one pick-up image；
This at least one pick-up image of identification to capture some first face characteristic data string streams, wherein those first
Face characteristic data stream constitutes one first face image；
Judge those the first face characteristic data string streams the most sorted out to a group of an image database with
Produce a judged result；And
Decide whether to send an announcement information according to this judged result.
2. the long-distance monitoring method of network camera as claimed in claim 1, it is characterised in that should " root
Decide whether to send an announcement information according to this judged result " step comprise the following steps: when this judged result
When having sorted out to this group of this image database for those the first face characteristic data string streams, then sending should
Announcement information.
3. the long-distance monitoring method of network camera as claimed in claim 1, it is characterised in that this basis
The step being somebody's turn to do " judged result decides whether to send an announcement information " comprises the following steps: when this judged result
When not yet sorting out to this group of this image database for those the first face characteristic data string streams, do not send out
Give this announcement information.
4. the long-distance monitoring method of network camera as claimed in claim 1, it is characterised in that this group
Including some second face characteristic data stream, those the second face characteristic data stream constitute one second face
Image, and " should judge that those the first face characteristic data string streams had been sorted out the most to this image database
To produce a judged result in one group " step comprise the steps of
Judge whether those the second face characteristic data stream and those the first face characteristic data string streams are essence
Upper identical；When those the second face characteristic data stream are essentially the same as those the first face characteristic data strings
During stream, then this judged result produced represents those the first face characteristic data string streams and has sorted out to this image number
According in this group in storehouse.
5. the long-distance monitoring method of network camera as claimed in claim 4, it is characterised in that " this judgement
Those the first face characteristic data string streams have the most been sorted out to a group of this image database and one have been sentenced to produce
Disconnected result " step comprise the steps of when those the second face characteristic data stream are different in essence in this
During a little first face characteristic data string stream, then this judged result produced represents those the first face characteristics
Crossfire is not yet sorted out to this group of this image database.
6. the long-distance monitoring method of network camera as claimed in claim 1, it is characterised in that this group
It is to be associated with in this image database via after a setting program.
7. the long-distance monitoring method of network camera as claimed in claim 6, it is characterised in that this setting
Program comprises the steps of
Receive some alternative face image；
Select the some persons in those alternative face image as some second face image, respectively this second
Face image is to be made up of some second face characteristic data stream；And
Those the second face characteristic data stream are stored in this image database with this group.
8. a network camera system, it is characterised in that comprise:
One image database；
One network camera, captures at least one pick-up image；
One identification module, this at least one pick-up image of identification to capture some first face characteristic data string streams,
Those the first face characteristic data string stream constitutes one first face image；And
One processing module, couples this image database, and this processing module judges those the first face characteristics
Crossfire has been sorted out the most to a group of this image database, and sends a notice letter according to a judged result
Breath.
9. network camera system as claimed in claim 8, it is characterised in that this group comprises some the
Two face characteristic data stream, those the second face characteristic data stream constitute one second face image, wherein
This judged result is those the second face characteristic data stream with those the first face characteristic data string streams substantially
Time identical, then corresponding this announcement information of transmission.
10. network camera system as claimed in claim 8, it is characterised in that this judged result is those
When second face characteristic data stream and those the first face characteristic data string streams are substantially the same, do not send
This announcement information.
11. network camera systems as claimed in claim 8, it is characterised in that also comprise an electronic installation,
This processing module is driven to receive some alternative face image, to select the some persons in those alternative face image
As some second face image, and store some second face characteristic data stream with this group；Wherein,
Those second face image are made up of those the second face characteristic data stream.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510358177.3A CN106331589A (en) | 2015-06-26 | 2015-06-26 | Webcam system and remote monitoring method thereof |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510358177.3A CN106331589A (en) | 2015-06-26 | 2015-06-26 | Webcam system and remote monitoring method thereof |
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| CN106331589A true CN106331589A (en) | 2017-01-11 |
Family
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| CN201510358177.3A Pending CN106331589A (en) | 2015-06-26 | 2015-06-26 | Webcam system and remote monitoring method thereof |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2018161339A1 (en) * | 2017-03-10 | 2018-09-13 | 深圳市博信诺达经贸咨询有限公司 | Application method and apparatus for big data searching in security monitoring |
| CN109963069A (en) * | 2017-12-26 | 2019-07-02 | 技嘉科技股份有限公司 | The method of photographic device and running photographic device |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2007077474A1 (en) * | 2006-01-04 | 2007-07-12 | Cunningham, Frank | New design 2 |
| US7336158B2 (en) * | 2004-10-06 | 2008-02-26 | Lori Lombardo | Status indicating doorbell |
| CN101567043A (en) * | 2009-05-31 | 2009-10-28 | 中山大学 | Face tracking method based on classification and identification |
| CN101833624A (en) * | 2010-05-05 | 2010-09-15 | 中兴通讯股份有限公司 | Information machine and access control method thereof |
| CN101853535A (en) * | 2010-05-25 | 2010-10-06 | 无锡中星微电子有限公司 | Door control system and door control management method |
| CN201955851U (en) * | 2011-03-10 | 2011-08-31 | 张雯 | Intelligent fingerprint door bell |
| CN202713473U (en) * | 2012-08-29 | 2013-01-30 | 苏州麦通科技有限公司 | Indoor video monitoring device |
| CN103268680A (en) * | 2013-05-29 | 2013-08-28 | 北京航空航天大学 | Intelligent monitoring and anti-theft system for family |
| CN103530648A (en) * | 2013-10-14 | 2014-01-22 | 四川空港知觉科技有限公司 | Face recognition method based on multi-frame images |
| CN104484929A (en) * | 2014-12-22 | 2015-04-01 | 唐玉勇 | Novel community safety application system and implementing method |
-
2015
- 2015-06-26 CN CN201510358177.3A patent/CN106331589A/en active Pending
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7336158B2 (en) * | 2004-10-06 | 2008-02-26 | Lori Lombardo | Status indicating doorbell |
| WO2007077474A1 (en) * | 2006-01-04 | 2007-07-12 | Cunningham, Frank | New design 2 |
| CN101567043A (en) * | 2009-05-31 | 2009-10-28 | 中山大学 | Face tracking method based on classification and identification |
| CN101833624A (en) * | 2010-05-05 | 2010-09-15 | 中兴通讯股份有限公司 | Information machine and access control method thereof |
| CN101853535A (en) * | 2010-05-25 | 2010-10-06 | 无锡中星微电子有限公司 | Door control system and door control management method |
| CN201955851U (en) * | 2011-03-10 | 2011-08-31 | 张雯 | Intelligent fingerprint door bell |
| CN202713473U (en) * | 2012-08-29 | 2013-01-30 | 苏州麦通科技有限公司 | Indoor video monitoring device |
| CN103268680A (en) * | 2013-05-29 | 2013-08-28 | 北京航空航天大学 | Intelligent monitoring and anti-theft system for family |
| CN103530648A (en) * | 2013-10-14 | 2014-01-22 | 四川空港知觉科技有限公司 | Face recognition method based on multi-frame images |
| CN104484929A (en) * | 2014-12-22 | 2015-04-01 | 唐玉勇 | Novel community safety application system and implementing method |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2018161339A1 (en) * | 2017-03-10 | 2018-09-13 | 深圳市博信诺达经贸咨询有限公司 | Application method and apparatus for big data searching in security monitoring |
| CN109963069A (en) * | 2017-12-26 | 2019-07-02 | 技嘉科技股份有限公司 | The method of photographic device and running photographic device |
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Application publication date: 20170111 |