CN106851226A - The monitoring method and system of the camera adjust automatically based on user behavior recognition - Google Patents
The monitoring method and system of the camera adjust automatically based on user behavior recognition Download PDFInfo
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- CN106851226A CN106851226A CN201710199451.6A CN201710199451A CN106851226A CN 106851226 A CN106851226 A CN 106851226A CN 201710199451 A CN201710199451 A CN 201710199451A CN 106851226 A CN106851226 A CN 106851226A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
- H04N7/181—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources
Abstract
A kind of monitoring method of the camera adjust automatically based on user behavior recognition, it comprises the following steps：S0, the operating time information table for being pre-configured with each monitoring camera in the range of household in the server；S1, the video data for obtaining each domestic consumer in advance；Using the video data of domestic consumer as the white list information data in video monitoring；S2, from obtain domestic consumer video data in carry out recognition of face and gesture actions information identification obtain human face data and attitude data；S3, structure human face recognition model and gesture recognition model based on depth neural algorithm；And set up the corresponding relation of human face recognition model and gesture recognition model；S4, composition user monitoring recognizer component, and be stored in central server；The first video angle control range information of correspondence domestic consumer in white list in S5, in the server configuration video monitoring.
Description
Technical field
The present invention relates to Smart Home technical field, more particularly to a kind of camera based on user behavior recognition is adjusted automatically
Whole monitoring method and system.
Background technology
One mobile phone remote multiple household electrical appliances, this is the scene that smart home is described.Smart home need to generally be equipped with long-range control
The equipment such as terminal processed, home network Set Top Box, Domestic central controller, intelligent appliance.Although intelligent home device is life band
To facilitate, but after internet is connected, they also turn into the target of attack of hacker, and smart home safety problem should as it
Bottleneck.Existing smart home security protection mainly includes：WiFi password protectings, the protection of visitor's authentication, network account
Password protecting, Router Security protection etc., in the present invention referred to as security protection " in route ".Security protection in route
Measure is responsible for preventing hacker from invading home network Set Top Box.However, once hacker invades home network Set Top Box, intelligent family
Electricity will be attacked.
Monitoring is the physical basis that every profession and trade key sector or important place carry out monitor in real time, and administrative department can be by it
Valid data, image/video monitoring system schematic diagram or acoustic information are obtained, the process to paroxysmal abnormality event is carried out in time
Monitoring and memory, be used to provide efficiently, in time commander and height, arrangement police strength, settle a case.With current computer
Application being developed rapidly and promoted, and the whole world has started one powerful wave of digitalization, various equipment digitalized to have turned into peace
The primary goal of full protection.The performance characteristics of digital monitoring alarm are：Monitored picture shows that video recording image quality single channel is adjusted in real time
Section function, per road, video recording speed can be respectively provided with, quick-searching, various video recording mode set-up functions, automated back-up, head/mirror
Head control function, network transmission etc..
Video Supervision Technique can only often be adjusted according to the angle for pre-setting in the prior art, and degree of flexibility is not
Height, and need user carry out playback could find to occur in that alert or other situations, the Experience Degree of user is not high.
The content of the invention
In view of this, the present invention proposes a kind of monitoring method of the camera adjust automatically based on user behavior recognition, its
Comprise the following steps：
S0, the operating time information table for being pre-configured with each monitoring camera in the range of household in the server；Server
The working time scope of each monitoring camera is controlled by operating time information table；
S1, the video data for obtaining each domestic consumer in advance；Using the video data of domestic consumer as in video monitoring
White list information data；
S2, from obtain domestic consumer video data in carry out recognition of face and gesture actions information identification obtain people
Face data and attitude data；
S3, structure human face recognition model and gesture recognition model based on depth neural algorithm；And set up face knowledge
The corresponding relation of other model and gesture recognition model；
S4, using the video data of domestic consumer as the white list information data in video monitoring, based on depth nerve calculate
The human face recognition model of method and the corresponding relation of gesture recognition model, human face recognition model and gesture recognition model constitute user
Monitoring recognizer component, and be stored in central server；
The first video angle control model of correspondence domestic consumer in white list in S5, in the server configuration video monitoring
Enclose the second video angle control range information of the correspondence user outside white list in information and video monitoring；
The initial monitoring positional information of each video monitoring camera in the range of S6, in the server configuration household；
The interrelated relation of each video monitoring camera in the range of S7, in the server configuration household；
S8, by video monitoring camera to being monitored in the range of household；Occurs personage's shadow in there is video monitoring
During as data, person image data are carried out by the human face recognition model based on depth neural algorithm and gesture recognition model
Identification；Judge whether personage belongs to white list in video monitoring according to recognition result, if it is jump to step S9；Otherwise jump
Go to step S10；
S9, the first video angle control according to correspondence domestic consumer in the white list configured in server in video monitoring
Range information is adjusted to the monitoring range information of video monitoring camera；
S10, according in server configure video monitoring in outside white list correspondence user the second video angle control
Range information is adjusted to the monitoring range information of video monitoring camera, and jumps to step S11；
S11, the interrelated pass according to each video monitoring camera in the range of configuration household in server in step S7
System, activates and monitors the relevant camera of person image data camera and be monitored；
S12, video monitoring camera carry out angle adjust automatically, and the video that will be recorded according to the event trace of personage
View data is sent to server and is stored in real time after being encrypted.
In the monitoring method of the camera adjust automatically based on user behavior recognition of the present invention,
Step S7 includes：
In the server in the range of configuration household during the initial monitoring camera of conduct of each video monitoring camera and its
The linkage information of his video monitoring camera.
The present invention also provides a kind of monitoring system of the camera adjust automatically based on user behavior recognition, and it includes as follows
Unit：
Working time dispensing unit, the work for being pre-configured with each monitoring camera in the range of household in the server
Temporal information table；Server controls the working time scope of each monitoring camera by operating time information table；
White list information dispensing unit, the video data for obtaining each domestic consumer in advance；By regarding for domestic consumer
Frequency is according to as the white list information data in video monitoring；
Discrimination information acquisition unit, for carrying out recognition of face and posture from the video data of the domestic consumer for obtaining
Action message identification obtains human face data and attitude data；
Identification model sets up unit, for building human face recognition model and gesture recognition mould based on depth neural algorithm
Type；And set up the corresponding relation of human face recognition model and gesture recognition model；
Recognizer component construction unit, for using the video data of domestic consumer as the white list information number in video monitoring
According to, the human face recognition model based on depth neural algorithm and gesture recognition model, human face recognition model and gesture recognition model
Corresponding relation constitute user monitoring recognizer component, and be stored in central server；
Angle information dispensing unit, for configuring correspondence domestic consumer in the white list in video monitoring in the server
Second video angle of correspondence user is controlled outside white list in first video angle control range information and video monitoring
Range information；
Initialization unit, the initial monitoring position for configuring each video monitoring camera in the range of household in the server
Confidence ceases；
Incidence relation dispensing unit, for configuring the mutual of each video monitoring camera in the range of household in the server
Incidence relation；
Judging unit, for by video monitoring camera to being monitored in the range of household；In there is video monitoring
When there are person image data, by the human face recognition model based on depth neural algorithm and gesture recognition model to personage's shadow
As data are identified；Judge whether personage belongs to white list in video monitoring according to recognition result, if it is jump to
One adjustment unit；Otherwise jump to the second adjustment unit；
First adjustment unit, for the according to correspondence domestic consumer in the white list configured in server in video monitoring
One video angle control range information is adjusted to the monitoring range information of video monitoring camera；
Second adjustment unit, for corresponding to the second of user outside white list in configuration video monitoring according in server
Video angle control range information is adjusted to the monitoring range information of video monitoring camera, and jumps to monitoring unit；
Monitoring unit, for according to each video monitoring in the range of configuration household in server in incidence relation dispensing unit
The interrelated relation of camera, activates and monitors the relevant camera of person image data camera and supervised
Control；
Abnormal information memory cell, it is automatic for carrying out angle according to the event trace of personage by video monitoring camera
Adjustment, and be sent to server in real time after the vedio data of record is encrypted and stored.
In the monitoring system of the camera adjust automatically based on user behavior recognition of the present invention,
Incidence relation dispensing unit includes：
In the server in the range of configuration household during the initial monitoring camera of conduct of each video monitoring camera and its
The linkage information of his video monitoring camera
The monitoring method and system of the camera adjust automatically based on user behavior recognition that the present invention is provided, relative to existing
There is technology, can automatically be monitored according to person recognition；And the privacy of validated user can be taken into account.
Brief description of the drawings
Fig. 1 is the monitoring system structural frames of the camera adjust automatically based on user behavior recognition of the embodiment of the present invention
Figure.
Specific embodiment
A kind of monitoring method of the camera adjust automatically based on user behavior recognition of the embodiment of the present invention, it includes as follows
Step：
S0, the operating time information table for being pre-configured with each monitoring camera in the range of household in the server；Server
The working time scope of each monitoring camera is controlled by operating time information table；
The working time of each monitoring camera is configured in the server, is capable of the privacy of effective guarantee user.
S1, the video data for obtaining each domestic consumer in advance；Using the video data of domestic consumer as in video monitoring
White list information data；
S2, from obtain domestic consumer video data in carry out recognition of face and gesture actions information identification obtain people
Face data and attitude data；
Recognized with gesture actions information by recognition of face and be combined with each other, the accuracy of identification can be greatly improved.
S3, structure human face recognition model and gesture recognition model based on depth neural algorithm：And set up face knowledge
The corresponding relation of other model and gesture recognition model；
S4, using the video data of domestic consumer as the white list information data in video monitoring, based on depth nerve calculate
The human face recognition model of method and the corresponding relation of gesture recognition model, human face recognition model and gesture recognition model constitute user
Monitoring recognizer component, and be stored in central server；
The first video angle control model of correspondence domestic consumer in white list in S5, in the server configuration video monitoring
Enclose the second video angle control range information of the correspondence user outside white list in information and video monitoring；
In this step, by the first video angle control range information to correspondence domestic consumer in white list, dialogue
The second video angle control range information of correspondence user outside list, the first video angle control range is less than the second video angle
Degree control range, distinctive can be monitored by video monitoring camera, look after privacy of user；And pass through
It is combined with user's identification, is for a user transparent.
The initial monitoring positional information of each video monitoring camera in the range of S6, in the server configuration household；
The interrelated relation of each video monitoring camera in the range of S7, in the server configuration household；
S8, by video monitoring camera to being monitored in the range of household；Occurs personage's shadow in there is video monitoring
During as data, person image data are carried out by the human face recognition model based on depth neural algorithm and gesture recognition model
Identification；Judge whether personage belongs to white list in video monitoring according to recognition result, if it is jump to step S9；Otherwise jump
Go to step S10；
S9, the first video angle control according to correspondence domestic consumer in the white list configured in server in video monitoring
Range information is adjusted to the monitoring range information of video monitoring camera；
S10, according in server configure video monitoring in outside white list correspondence user the second video angle control
Range information is adjusted to the monitoring range information of video monitoring camera, and jumps to step S11；
S11, the interrelated pass according to each video monitoring camera in the range of configuration household in server in step S7
System, activates and monitors the relevant camera of person image data camera and be monitored；
S12, video monitoring camera carry out angle adjust automatically, and the video that will be recorded according to the event trace of personage
View data is sent to server and is stored in real time after being encrypted.
By implementing this step, the tracing and monitoring to disabled user can be realized, and monitoring data information can be retained.
Alternatively, in embodiments of the present invention, each monitoring camera is distributed in inside and outside smart home scope；And using not
Same power supply is powered；And the feedback information of server periodic receipt monitoring camera；In any monitoring camera not
In cycle internal feedback information, the monitoring camera annex monitoring camera is called to carry out angle adjustment monitoring；And by picture reality
When be sent in server and stored；Configure the monitoring range of each monitoring camera, it is ensured that without dead angle.
In the monitoring method of the camera adjust automatically based on user behavior recognition of the present invention,
Step S7 includes：
In the server in the range of configuration household during the initial monitoring camera of conduct of each video monitoring camera and its
The linkage information of his video monitoring camera.
In the step of the embodiment of the present invention, with the linkage information of other video monitoring cameras during initial monitoring camera
The boot sequence of video monitoring camera can be included；Activation quantity of video monitoring camera etc., and with smart home scope
Inside and outside environment is combined together to be planned, improves the effect of monitoring.
As shown in figure 1, the present invention also provides a kind of monitoring system of the camera adjust automatically based on user behavior recognition,
It is included such as lower unit：
Working time dispensing unit, the work for being pre-configured with each monitoring camera in the range of household in the server
Temporal information table；Server controls the working time scope of each monitoring camera by operating time information table；
White list information dispensing unit, the video data for obtaining each domestic consumer in advance；By regarding for domestic consumer
Frequency is according to as the white list information data in video monitoring；
Discrimination information acquisition unit, for carrying out recognition of face and posture from the video data of the domestic consumer for obtaining
Action message identification obtains human face data and attitude data；
Identification model sets up unit, for building human face recognition model and gesture recognition mould based on depth neural algorithm
Type；And set up the corresponding relation of human face recognition model and gesture recognition model；
Recognizer component construction unit, for using the video data of domestic consumer as the white list information number in video monitoring
According to, the human face recognition model based on depth neural algorithm and gesture recognition model, human face recognition model and gesture recognition model
Corresponding relation constitute user monitoring recognizer component, and be stored in central server；
Angle information dispensing unit, for configuring correspondence domestic consumer in the white list in video monitoring in the server
Second video angle of correspondence user is controlled outside white list in first video angle control range information and video monitoring
Range information；
Initialization unit, the initial monitoring position for configuring each video monitoring camera in the range of household in the server
Confidence ceases；
Incidence relation dispensing unit, for configuring the mutual of each video monitoring camera in the range of household in the server
Incidence relation；
Judging unit, for by video monitoring camera to being monitored in the range of household；In there is video monitoring
When there are person image data, by the human face recognition model based on depth neural algorithm and gesture recognition model to personage's shadow
As data are identified；Judge whether personage belongs to white list in video monitoring according to recognition result, if it is jump to
One adjustment unit；Otherwise jump to the second adjustment unit；
First adjustment unit, for the according to correspondence domestic consumer in the white list configured in server in video monitoring
One video angle control range information is adjusted to the monitoring range information of video monitoring camera；
Second adjustment unit, for corresponding to the second of user outside white list in configuration video monitoring according in server
Video angle control range information is adjusted to the monitoring range information of video monitoring camera, and jumps to monitoring unit；
Monitoring unit, for according to each video monitoring in the range of configuration household in server in incidence relation dispensing unit
The interrelated relation of camera, activates and monitors the relevant camera of person image data camera and supervised
Control；
Abnormal information memory cell, it is automatic for carrying out angle according to the event trace of personage by video monitoring camera
Adjustment, and be sent to server in real time after the vedio data of record is encrypted and stored.
In the monitoring system of the camera adjust automatically based on user behavior recognition of the present invention,
Incidence relation dispensing unit includes：
In the server in the range of configuration household during the initial monitoring camera of conduct of each video monitoring camera and its
The linkage information of his video monitoring camera
The monitoring method and system of the camera adjust automatically based on user behavior recognition that the present invention is provided, relative to existing
There is technology, can automatically be monitored according to person recognition；And the privacy of validated user can be taken into account.
The method that is described with reference to the embodiments described herein or algorithm can directly use hardware, computing device
Software module, or the two combination is implemented.Software module can be placed in random access memory, internal memory, read-only storage, electricity can
It is known in programming ROM, electrically erasable ROM, register, hard disk, moveable magnetic disc, CD-ROM or technical field
In the storage medium of any other forms.
It is understood that for the person of ordinary skill of the art, can be done with technology according to the present invention design
Go out other various corresponding changes and deformation, and all these changes and deformation should all belong to the protection model of the claims in the present invention
Enclose.
Claims (4)
1. a kind of monitoring method of the camera adjust automatically based on user behavior recognition, it is characterised in that it includes following step
Suddenly：
S0, the operating time information table for being pre-configured with each monitoring camera in the range of household in the server；Server passes through
Operating time information table controls the working time scope of each monitoring camera；
S1, the video data for obtaining each domestic consumer in advance；Using the video data of domestic consumer as white in video monitoring
List information data；
S2, from obtain domestic consumer video data in carry out recognition of face and gesture actions information identification obtain face number
According to this and attitude data；
S3, structure human face recognition model and gesture recognition model based on depth neural algorithm；And set up recognition of face mould
The corresponding relation of type and gesture recognition model；
S4, using the video data of domestic consumer as the white list information data in video monitoring, based on depth neural algorithm
The corresponding relation of human face recognition model and gesture recognition model, human face recognition model and gesture recognition model constitutes user monitoring
Recognizer component, and be stored in central server；
The first video angle control range letter of correspondence domestic consumer in white list in S5, in the server configuration video monitoring
The second video angle control range information of user is corresponded in breath and video monitoring outside white list；
The initial monitoring positional information of each video monitoring camera in the range of S6, in the server configuration household；
The interrelated relation of each video monitoring camera in the range of S7, in the server configuration household；
S8, by video monitoring camera to being monitored in the range of household；Occurs person image number in there is video monitoring
According to when, person image data are known by the human face recognition model based on depth neural algorithm and gesture recognition model
Not；Judge whether personage belongs to white list in video monitoring according to recognition result, if it is jump to step S9；Otherwise redirect
To step S10；
S9, the first video angle control range according to correspondence domestic consumer in the white list configured in server in video monitoring
Information is adjusted to the monitoring range information of video monitoring camera；
S10, according in server configure video monitoring in outside white list correspondence user the second video angle control range
Information is adjusted to the monitoring range information of video monitoring camera, and jumps to step S11：
S11, the interrelated relation according to each video monitoring camera in the range of configuration household in server in step S7, swash
The work camera relevant with person image data camera is monitored is monitored；
S12, video monitoring camera carry out angle adjust automatically, and the video image that will be recorded according to the event trace of personage
Data are sent to server and are stored in real time after being encrypted.
2. the monitoring method of the camera adjust automatically of user behavior recognition is based on as claimed in claim 1, it is characterised in that
Step S7 includes：
Regarded with other during the initial monitoring camera of conduct of each video monitoring camera in the range of configuration household in the server
The linkage information of frequency monitoring camera.
3. a kind of monitoring system of the camera adjust automatically based on user behavior recognition, it is characterised in that it includes such as placing an order
Unit：
Working time dispensing unit, the working time for being pre-configured with each monitoring camera in the range of household in the server
Information table；Server controls the working time scope of each monitoring camera by operating time information table；
White list information dispensing unit, the video data for obtaining each domestic consumer in advance；By the video counts of domestic consumer
According to as the white list information data in video monitoring；
Discrimination information acquisition unit, for carrying out recognition of face and gesture actions from the video data of the domestic consumer for obtaining
Information identification obtains human face data and attitude data；
Identification model sets up unit, for building human face recognition model and gesture recognition model based on depth neural algorithm；
And set up the corresponding relation of human face recognition model and gesture recognition model；
Recognizer component construction unit, for using the video data of domestic consumer as the white list information data in video monitoring,
Human face recognition model and gesture recognition model, human face recognition model and gesture recognition model based on depth neural algorithm it is right
Composition user monitoring recognizer component should be related to, and be stored in central server；
Angle information dispensing unit, for configuring correspondence domestic consumer in the white list in video monitoring in the server first
The second video angle control range of user is corresponded in video angle control range information and video monitoring outside white list
Information；
Believe initialization unit, the initial monitoring position for configuring each video monitoring camera in the range of household in the server
Breath；
Incidence relation dispensing unit, for configuring the interrelated of each video monitoring camera in the range of household in the server
Relation；
Judging unit, for by video monitoring camera to being monitored in the range of household；Occur in there is video monitoring
During person image data, by the human face recognition model based on depth neural algorithm and gesture recognition model to person image number
According to being identified；Judge whether personage belongs to white list in video monitoring according to recognition result, if it is jump to the first tune
Whole unit；Otherwise jump to the second adjustment unit；
First adjustment unit, for being regarded according to first of correspondence domestic consumer in the white list configured in server in video monitoring
Frequency angle control range information is adjusted to the monitoring range information of video monitoring camera；
Second adjustment unit, for according to the second video for corresponding to user in configuration video monitoring in server outside white list
Angle control range information is adjusted to the monitoring range information of video monitoring camera, and jumps to monitoring unit；
Monitoring unit, for according to each video monitoring shooting in the range of configuration household in server in incidence relation dispensing unit
The interrelated relation of head, activates and monitors the relevant camera of person image data camera and be monitored；
Abnormal information memory cell, adjusts automatically for carrying out angle according to the event trace of personage by video monitoring camera
It is whole, and be sent to server in real time after the vedio data of record is encrypted and stored.
4. the monitoring system of the camera adjust automatically of user behavior recognition is based on as claimed in claim 3, it is characterised in that
Incidence relation dispensing unit includes：
Regarded with other during the initial monitoring camera of conduct of each video monitoring camera in the range of configuration household in the server
The linkage information of frequency monitoring camera.
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107807537A (en) * | 2017-11-16 | 2018-03-16 | 四川长虹电器股份有限公司 | Intelligent household appliances control system and method based on expression recognition |
| CN109525805A (en) * | 2018-08-30 | 2019-03-26 | 新我科技(广州)有限公司 | A kind of Dressing Room box intelligence control system, control method and storage medium |
| CN111199211A (en) * | 2019-12-31 | 2020-05-26 | 武汉星巡智能科技有限公司 | Intelligent monitoring equipment with infrared awakening function, monitoring method and storage medium |
| CN111859349A (en) * | 2020-07-30 | 2020-10-30 | 上海创功通讯技术有限公司 | Camera system and control method thereof |
| CN113516051A (en) * | 2021-05-19 | 2021-10-19 | 云米互联科技(广东)有限公司 | HomeMap-based security monitoring method and device |
| CN114915805A (en) * | 2022-07-18 | 2022-08-16 | 广州万协通信息技术有限公司 | Video stream transmission method based on double encryption mechanism and security chip device |
| CN117135324A (en) * | 2023-09-08 | 2023-11-28 | 南京启征信息技术有限公司 | Video integration intelligent identification system |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2008004578A1 (en) * | 2006-07-05 | 2008-01-10 | Panasonic Corporation | Monitoring system, monitoring device and monitoring method |
| CN101404107A (en) * | 2008-11-19 | 2009-04-08 | 公安部第三研究所 | Internet bar monitoring and warning system based on human face recognition technology |
| CN101465033A (en) * | 2008-05-28 | 2009-06-24 | 丁国锋 | Automatic tracking recognition system and method |
| EP2107537A1 (en) * | 2008-04-04 | 2009-10-07 | Hutchison Whampoa Three G IP (Bahamas) Limited | Video surveillance and home security apparatus using the UMTS network and a method for the management of said apparatus |
| CN102176746A (en) * | 2009-09-17 | 2011-09-07 | 广东中大讯通信息有限公司 | Intelligent monitoring system used for safe access of local cell region and realization method thereof |
| CN103268680A (en) * | 2013-05-29 | 2013-08-28 | 北京航空航天大学 | Intelligent monitoring and anti-theft system for family |
| CN106331596A (en) * | 2015-07-06 | 2017-01-11 | 中兴通讯股份有限公司 | Household monitoring method and system |
| CN106372572A (en) * | 2016-08-19 | 2017-02-01 | 北京旷视科技有限公司 | Monitoring method and apparatus |
-
2017
- 2017-03-29 CN CN201710199451.6A patent/CN106851226B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2008004578A1 (en) * | 2006-07-05 | 2008-01-10 | Panasonic Corporation | Monitoring system, monitoring device and monitoring method |
| EP2107537A1 (en) * | 2008-04-04 | 2009-10-07 | Hutchison Whampoa Three G IP (Bahamas) Limited | Video surveillance and home security apparatus using the UMTS network and a method for the management of said apparatus |
| CN101465033A (en) * | 2008-05-28 | 2009-06-24 | 丁国锋 | Automatic tracking recognition system and method |
| CN101404107A (en) * | 2008-11-19 | 2009-04-08 | 公安部第三研究所 | Internet bar monitoring and warning system based on human face recognition technology |
| CN102176746A (en) * | 2009-09-17 | 2011-09-07 | 广东中大讯通信息有限公司 | Intelligent monitoring system used for safe access of local cell region and realization method thereof |
| CN103268680A (en) * | 2013-05-29 | 2013-08-28 | 北京航空航天大学 | Intelligent monitoring and anti-theft system for family |
| CN106331596A (en) * | 2015-07-06 | 2017-01-11 | 中兴通讯股份有限公司 | Household monitoring method and system |
| CN106372572A (en) * | 2016-08-19 | 2017-02-01 | 北京旷视科技有限公司 | Monitoring method and apparatus |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107807537A (en) * | 2017-11-16 | 2018-03-16 | 四川长虹电器股份有限公司 | Intelligent household appliances control system and method based on expression recognition |
| CN109525805A (en) * | 2018-08-30 | 2019-03-26 | 新我科技(广州)有限公司 | A kind of Dressing Room box intelligence control system, control method and storage medium |
| CN111199211A (en) * | 2019-12-31 | 2020-05-26 | 武汉星巡智能科技有限公司 | Intelligent monitoring equipment with infrared awakening function, monitoring method and storage medium |
| CN111859349A (en) * | 2020-07-30 | 2020-10-30 | 上海创功通讯技术有限公司 | Camera system and control method thereof |
| CN113516051A (en) * | 2021-05-19 | 2021-10-19 | 云米互联科技(广东)有限公司 | HomeMap-based security monitoring method and device |
| CN114915805A (en) * | 2022-07-18 | 2022-08-16 | 广州万协通信息技术有限公司 | Video stream transmission method based on double encryption mechanism and security chip device |
| CN114915805B (en) * | 2022-07-18 | 2022-11-08 | 广州万协通信息技术有限公司 | Video stream transmission method based on double encryption mechanism and security chip device |
| CN117135324A (en) * | 2023-09-08 | 2023-11-28 | 南京启征信息技术有限公司 | Video integration intelligent identification system |
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| CN106851226B (en) | 2018-07-31 |
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