CN108540773A - A kind of monitoring method, device, system and Cloud Server - Google Patents
A kind of monitoring method, device, system and Cloud Server Download PDFInfo
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- CN108540773A CN108540773A CN201810325926.6A CN201810325926A CN108540773A CN 108540773 A CN108540773 A CN 108540773A CN 201810325926 A CN201810325926 A CN 201810325926A CN 108540773 A CN108540773 A CN 108540773A
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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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/20—Analysis of motion
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/40—Scenes; Scene-specific elements in video content
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/06—Protocols specially adapted for file transfer, e.g. file transfer protocol [FTP]
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/60—Control of cameras or camera modules
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/76—Television signal recording
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30232—Surveillance
Abstract
A kind of monitoring method, device, system and Cloud Server provided by the invention judge whether there is object of which movement in the target zone according to the image collected information in predetermined period；When being determined with object of which movement, the recording function for starting image capture device is recorded a video, and starts the temperature and environment temperature of infrared radiation thermometer detection moving object；According to the image of the temperature of the moving object, environment temperature and the moving object, the type of the moving object is identified；The video file of the information of the moving object and the moving object is uploaded to Cloud Server, makes the Cloud Server that the video file of the information of the moving object and the moving object is sent to user terminal.The monitoring for invading non-human situation is realized, user is made to know the sanitary conditions of local environment.
Description
Technical field
The present invention relates to monitoring technology fields, more particularly to a kind of monitoring method, device, system and Cloud Server.
Background technology
There may be harmful animal in human residential environment, relatively common harmful animal has a mouse, fly, cockroach,
Termite etc..These harmful animals do not endanger the safety of people all the time, and annoying, and people must take measures clearly
Except indoor harmful animal, relatively better living environment could be obtained.
, first it is to be understood that indoor whether there is harmful animal, and which kind of there is and be harmful in people before removing harmful animal
Animal.However, harmful animal is generally hidden in people's activity, people are difficult to monitor harmful animal.
Currently, people are generally monitored indoor and outdoor surroundings using monitoring system, and still, existing safety monitoring system
It is to be paid close attention to the invasion other than the mankind insufficient using the mankind as monitoring objective mostly.
Invention content
In view of the above problems, it is proposed that the present invention overcoming the above problem in order to provide one kind or solves at least partly
State monitoring method, device, system and the Cloud Server of problem.
In order to achieve the above-mentioned object of the invention, specific technical solution provided by the invention is as follows：
A kind of monitoring method, including：
Control the image information in image capture device acquisition target zone；
Judge whether there is object of which movement in the target zone according to the image collected information in predetermined period；
When being determined with object of which movement, the recording function for starting described image collecting device is recorded a video, and is acquired default
The characteristic value of type；
According to the image of the characteristic value of the preset kind and the moving object, judge whether the moving object is mesh
Animal is marked, and identifies the target animal type of the moving object, the moving object when the moving object is target animal
The video file that the image sources of body obtain after described image collecting device records a video to moving object；
When the moving object is target animal, by the record of the information of the moving object and the moving object
As file is uploaded to Cloud Server, make the Cloud Server by the record of the information of the moving object and the moving object
As file is sent to user terminal.
Preferably, described to judge whether there is object in the target zone according to the image collected information in predetermined period
Movement, including：
Macroblock motion vectors in collected each frame image information in predetermined period are counted, each frame is obtained
The maximum value of macroblock motion vectors in image information；
The weighted average for calculating the maximum value of the macroblock motion vectors in each frame image information obtains the default week
The image motion vector value of phase；
Judge whether the image motion vector value of the predetermined period is more than preset value；
If so, judging there is object of which movement in the target zone；
If it is not, judging in the target zone without object of which movement.
Preferably, described image collecting device includes camera and depth camera；
Image information in the control image capture device acquisition target zone, specially：
Control the image information in the camera acquisition target zone；
The recording function for starting described image collecting device is recorded a video, specially：
The recording function for starting the camera and the depth camera is recorded a video.
Preferably, the characteristic value of the acquisition preset kind, including：
Start the temperature of infrared radiation thermometer acquisition environment temperature and moving object.
Preferably, the image of the characteristic value and the moving object according to the preset kind, judges the movement
Whether object is target animal, and the target animal kind of the moving object is identified when the moving object is target animal
Class, including：
Using collected environment temperature and the temperature of the moving object as querying condition, to pre-stored different target
The body temperature tables of data of animal and the ambient temperature range tables of data of different target animal are traversed, and determine the moving object
The corresponding at least one suspected target animal of body；
The corresponding neural network image identification model of each suspected target animal for calling the Cloud Server storage, by institute
The image of moving object is stated as input data, obtains the corresponding neural network image identification model of each suspected target animal
Recognition result；
According to the recognition result of the corresponding neural network image identification model of each suspected target animal, the movement is judged
Whether object is target animal, and the target animal kind of the moving object is determined when the moving object is target animal
Class.
A kind of monitoring method is applied to Cloud Server, the method includes：
Receive the video file of the information and moving object of the moving object that monitoring device is sent；
The video file of information and the moving object to the moving object stores；
The video file of the information of the moving object and the moving object is sent to user terminal.
Preferably, the Cloud Server is previously stored with the corresponding neural network image identification mould of variety classes target animal
Type,
The method further includes：
Judge whether to receive the feedback information of the user terminal in preset time；
If receiving, judged according to the feedback information whether correct to the category identification of the moving object；
If correct, just using the image of the moving object as corresponding target animal neural network image identification model
True training sample is stored；
If incorrect, using the image of the moving object as corresponding target animal neural network image identification model
Error training sample is stored；
If not receiving, determination is correct to the category identification of the moving object, and the image of the moving object is made
Correct training sample for corresponding target animal neural network image identification model is stored.
Preferably, the method further includes：
Time, number and the frequency for counting the appearance of each target animal respectively in default measurement period, according to described pre-
If the statistical result in measurement period generates statistical report, and the statistical report is pushed to the user terminal.
A kind of monitoring device, including：
Control unit, for controlling the image information in image capture device acquisition target zone；
Judging unit, for judging whether there is object in the target zone according to the image collected information in predetermined period
Body moves；
Start unit, for when being determined with object of which movement, the recording function for starting described image collecting device to be recorded
Picture, and acquire the characteristic value of preset kind；
Recognition unit is used for the image of the characteristic value and the moving object according to the preset kind, judges the fortune
Whether animal body is target animal, and the target animal kind of the moving object is identified when the moving object is target animal
Class, the video recording that the image sources of the moving object obtain after described image collecting device records a video to moving object are literary
Part；
Uploading unit is used for when the moving object is target animal, by the information of the moving object and institute
The video file for stating moving object is uploaded to Cloud Server, makes the Cloud Server by the information of the moving object and institute
The video file for stating moving object is sent to user terminal.
A kind of Cloud Server, including：
Receiving unit, the information of the moving object for receiving monitoring device transmission and the video recording text of moving object
Part；
Storage unit, the video file for information and the moving object to the moving object are deposited
Storage；
Transmission unit, for the video file of the information of the moving object and the moving object to be sent to use
Family terminal.
A kind of monitoring system, including：
Processor, image capture device, infrared radiation thermometer, above-mentioned Cloud Server and user terminal；
The processor includes above-mentioned monitoring device.
Preferably, the monitoring system further includes：Photo resistance, double optical filters and infrared light compensating lamp；
The photo resistance, for detecting light intensity；
The processor is additionally operable to be switched to night mould by controlling double optical filters when light intensity is less than threshold value
Formula, and control double optical filters when light intensity is not less than the threshold value and be switched to day mode；
The infrared light compensating lamp is illuminated for emitting infrared light under night pattern.
By above-mentioned technical proposal, a kind of monitoring method, device, system and Cloud Server provided by the invention, according to pre-
If the image collected information judges whether there is object of which movement in the target zone in the period；When being determined with object of which movement,
The recording function for starting image capture device is recorded a video, and starts the temperature and environment temperature of infrared radiation thermometer detection moving object
Degree；According to the image of the temperature of the moving object, environment temperature and the moving object, the kind of the moving object is identified
Class；The video file of the information of the moving object and the moving object is uploaded to Cloud Server, the cloud is made to take
The video file of the information of the moving object and the moving object is sent to user terminal by business device.It realizes to non-
The mankind invade the monitoring of situation, and user is made to know the sanitary conditions of local environment.
Above description is only the general introduction of technical solution of the present invention, in order to better understand the technical means of the present invention,
And can be implemented in accordance with the contents of the specification, and in order to allow above and other objects of the present invention, feature and advantage can
It is clearer and more comprehensible, below the special specific implementation mode for lifting the present invention.
Description of the drawings
By reading the detailed description of hereafter preferred embodiment, various other advantages and benefit are common for this field
Technical staff will become clear.Attached drawing only for the purpose of illustrating preferred embodiments, and is not considered as to the present invention
Limitation.And throughout the drawings, the same reference numbers will be used to refer to the same parts.In the accompanying drawings：
Fig. 1 shows a kind of monitoring method flow chart disclosed by the embodiments of the present invention；
Fig. 2 shows a kind of object of which movement judgment method flow charts disclosed by the embodiments of the present invention；
Fig. 3 shows a kind of target animal recognition methods flow chart disclosed by the embodiments of the present invention；
Fig. 4 shows another monitoring method flow chart disclosed by the embodiments of the present invention；
Fig. 5 shows another monitoring method flow chart disclosed by the embodiments of the present invention；
Fig. 6 shows a kind of monitoring device structural schematic diagram disclosed by the embodiments of the present invention；
Fig. 7 shows a kind of Cloud Server structural schematic diagram disclosed by the embodiments of the present invention；
Fig. 8 shows a kind of monitoring system structural schematic diagram disclosed by the embodiments of the present invention；
Fig. 9 shows another monitoring system structural schematic diagram disclosed by the embodiments of the present invention.
Specific implementation mode
The exemplary embodiment of the disclosure is more fully described below with reference to accompanying drawings.Although showing the disclosure in attached drawing
Exemplary embodiment, it being understood, however, that may be realized in various forms the disclosure without should be by embodiments set forth here
It is limited.On the contrary, these embodiments are provided to facilitate a more thoroughly understanding of the present invention, and can be by the scope of the present disclosure
Completely it is communicated to those skilled in the art.
Referring to Fig. 1, present embodiment discloses a kind of monitoring method, following steps are specifically included：
S101：Control the image information in image capture device acquisition target zone；
The target zone is the field of view of described image collecting device.
The equipment that the image information in target zone is acquired in described image collecting device can be camera etc..
S102：Judge whether there is object of which movement in the target zone according to the image collected information in predetermined period；
If so, executing S103；
Predetermined period is preset time interval value, such as 1 second, 2 seconds, the present invention is not limited thereto.It can manage
It solves, can judge whether there is object fortune in the target zone according to the image collected information in each predetermined period
It is dynamic.
If it is not, continuing to execute S102, sentenced according to next predetermined period the image collected information in next predetermined period
Whether there is object of which movement in the target zone of breaking.
Specifically, judging that it can be any one existing method whether to have object of which movement in image, it is preferred that please refer to
The specific implementation procedure of Fig. 2, S102 are as follows：
S201：Macroblock motion vectors in collected each frame image information in predetermined period are counted, are obtained
The maximum value of macroblock motion vectors in each frame image information；
S202：The weighted average for calculating the maximum value of the macroblock motion vectors in each frame image information obtains described
The image motion vector value of predetermined period；
S203：Judge whether the image motion vector value of the predetermined period is more than preset value；If so, S204 is executed, if
It is no, execute S205；
S204：Judge there is object of which movement in the target zone；
S205：Judge in the target zone without object of which movement.
It should be noted that the weight of collected each frame image is identical in predetermined period, the image fortune of predetermined period
The calculation formula of dynamic vector value is：
Y=(ax1+ax2+...+axn)/n
Wherein,yFor the image motion vector value of predetermined period, a is weight, xnFor the Macroblock Motion in n-th frame image information
The maximum value of vector, n are the totalframes of image in predetermined period.
S103：The recording function for starting described image collecting device is recorded a video, and acquires the characteristic value of preset kind；
Preferably, described image collecting device includes camera and depth camera.
The recording function for starting described image collecting device is recorded a video, specially：
The recording function for starting the camera and the depth camera is recorded a video.
It is understood that camera the image collected resolution ratio is higher, but cannot obtain the depth information of image, it is deep
The resolution ratio for spending camera the image collected is relatively low, but can obtain the depth information of image, while utilizing camera and depth phase
The image of machine acquisition, the image collected meet the demand of resolution ratio and the demand of depth information simultaneously.
Meanwhile the corresponding neural network image identification model of each target animal is with the RGB image of respective objects animal
It is training sample with depth image, the neural network image identification model that training obtains is enable to scheme with the RGB that camera acquires
Picture and the depth image of depth camera acquisition judge whether the moving object in image is the neural network diagram as input data
As the corresponding target animal of identification model, since input data and training sample meet the demand to the resolution ratio of image simultaneously
With the demand of depth information, the accuracy of identification to moving object is improved.
It should be noted that stopping video recording when identifying the type of moving object.
Preferably, the characteristic value of the acquisition preset kind, including：
Start the temperature of infrared radiation thermometer acquisition environment temperature and moving object.
S104：According to the image of the characteristic value of the preset kind and the moving object, judge that the moving object is
No is target animal, and the target animal type of the moving object is identified when the moving object is target animal；
Target animal is pre-set animal, can be by target animal when the present embodiment is applied to monitoring of environmental health
The harmful animals such as cockroach, mouse are set as, when the present embodiment is applied to that target animal can be set to cat, dog when pet monitors
Equal pets.It is understood that harmful animal and pet are only target animal alternative embodiment, the present invention is not limited thereto.
The record that the image sources of the moving object obtain after described image collecting device records a video to moving object
As file.It is understood that each frame of video file is all the image of moving object.
Specifically, referring to Fig. 3, the specific implementation procedure of S104 is as follows：
S301：Using collected environment temperature and the temperature of the moving object as querying condition, to it is pre-stored not
It is traversed with the body temperature tables of data of target animal and the environment temperature model of different target animal, determines the moving object
Corresponding at least one suspected target animal；
For example the body temperature of home mouse is 37~38 degrees Celsius, the temperature of moving object is then not necessarily to startup pair not in this range
The image recognition of home mouse；Cockroach is poikilotherm, and environment of an activation temperature is 15 degrees Celsius or more, environment temperature be 15 degree hereinafter,
The image recognition to cockroach is not started then；Fly is poikilotherm, and active temperature is 10 degrees Celsius or more, if environment temperature is
10 degree hereinafter, do not start the image recognition to fly then.
The present embodiment provides the ambient temperature ranges of the body temperature of plurality of target animal and target animal, according to the fortune
The temperature and environment temperature of animal body exclude ineligible target animal, obtain at least one suspected target animal species.
S302：Call the corresponding neural network image identification mould of each suspected target animal of the Cloud Server storage
Type obtains the corresponding neural network image of each suspected target animal and knows using the image of the moving object as input data
The recognition result of other model；
S303：According to the recognition result of the corresponding neural network image identification model of each suspected target animal, institute is judged
State whether moving object is target animal, and determines that the target of the moving object is dynamic when the moving object is target animal
Species.；
It should be noted that Cloud Server stores the corresponding neural network image identification model of each target animal.God
Through network image identification model using the RGB image of respective objects animal and depth image as training sample.Each target animal pair
The neural network image identification model answered can be trained to obtain to convolutional neural networks model, or to depth
What neural network model was trained.
The neural network image identification model of plurality of target animal is provided in the present embodiment, it is dynamic for each suspected target
Object calls this kind of suspected target animal species corresponding when whether judge the moving object is this kind of suspected target animal
Neural network image identification model, using the image of the moving object as input data, output data is recognition result, is
No is this kind of suspected target animal.It is understood that when the corresponding neural network image of each suspected target animal identifies mould
When the recognition result of type is all no, the moving object is not target animal；It is moved when there was only a kind of suspected target in recognition result
The recognition result of the corresponding neural network image identification model of object is when being, using the suspected target animal as the moving object
Target animal type.
S105：When the moving object is target animal, by the information of the moving object and the moving object
The video file of body is uploaded to Cloud Server, makes the Cloud Server by the information of the moving object and the moving object
The video file of body is sent to user terminal.
The user terminal can be smart mobile phone, IPad, tablet computer and laptop etc..
A kind of monitoring method disclosed in the present embodiment judges the target according to the image collected information in predetermined period
Whether there is object of which movement in range；When being determined with object of which movement, the recording function for starting image capture device is recorded a video, and
Start the temperature and environment temperature of infrared radiation thermometer detection moving object；According to the temperature of the moving object, environment temperature and
The image of the moving object identifies the type of the moving object；By the information of the moving object and the movement
The video file of object is uploaded to Cloud Server, makes the Cloud Server by the information of the moving object and the movement
The video file of object is sent to user terminal.The monitoring for invading non-human situation is realized, user is made to know local environment
Sanitary conditions.
Based on a kind of monitoring method disclosed in above-described embodiment, referring to Fig. 4, this implementation correspondence discloses another monitoring
Method is applied to Cloud Server, specifically includes following steps：
S401：Receive the video file of the information and moving object of the moving object that monitoring device is sent；
S402：The video file of information and the moving object to the moving object stores；
S403：The video file of the information of the moving object and the moving object is sent to user terminal.
A kind of monitoring method disclosed in the present embodiment, cloud server simultaneously store the moving object that monitoring device is sent
The video file of information and moving object, and the information of the moving object and the video recording of the moving object is literary
Part is sent to user terminal.Alleviate the storage pressure of monitoring device, and the type for the moving object that monitoring device is recognized
Information and the video file of moving object are sent to the user terminal, and user is facilitated to understand the sanitary conditions for knowing local environment.
Based on a kind of monitoring method disclosed in above-described embodiment, referring to Fig. 5, another monitoring side disclosed in the present embodiment
Method, the Cloud Server are previously stored with the corresponding neural network image identification model of variety classes target animal, specifically include：
S501：Receive the video file of the information and moving object of the moving object that monitoring device is sent；
S502：The video file of information and the moving object to the moving object stores；
S503：The video file of the information of the moving object and the moving object is sent to user terminal；
S504：Judge whether to receive the feedback information of the user terminal in preset time；
If receiving, S505 is executed, if not receiving, executes S506；
It should be noted that preset time is preset a period of time, if not received in preset time described
When the feedback information of user terminal, default user approves the recognition result of monitoring device.
S505：Judged according to the feedback information whether correct to the category identification of the moving object；If correct, execute
S507 executes S508 if incorrect；
S507：Using the image of the moving object as the correct of corresponding target animal neural network image identification model
Training sample is stored；
S508：Using the image of the moving object as the mistake of corresponding target animal neural network image identification model
Training sample is stored；
S506：Determination is correct to the category identification of the moving object, and using the image of the moving object as corresponding
The correct training sample of target animal neural network image identification model stored.
Accuracy of identification can be improved by the result of user feedback, such as domestic cat is identified as mouse by processor, user is anti-
After feedback, the video file of domestic cat is rejected from the training sample of mouse, or the video file of domestic cat is added to the instruction of domestic cat
Practice in sample, to improve the accuracy of identification of processor.
Preferably, the method further includes：
When determining correct to the category identification of the moving object, pass through the advertisement of the target animal processing accessed in advance
System pushes the information of processing target animal corresponding with the moving object type identified to the user terminal.
The information can be advertisement, or the production of the contact method of associated property or the processing target animal of third-party platform
Product purchase page link etc..
For example, when cloud server receives the moving object of processor transmission as mouse or works as cloud server root
When determining that the moving object is mouse according to the feedback of user terminal, the instruction for carrying mouse can be sent to ad system, is connect
Receive ad system feedback kill mouse advertisement when, the advertisement pushing that will kill mouse is to user terminal.
Preferably, the method further includes：
Time, number and the frequency for counting the appearance of each target animal respectively in default measurement period, according to described pre-
If the statistical result in measurement period generates statistical report, and the statistical report is pushed to the user terminal.
Default measurement period can be one day, one week, one month, one year etc., and the statistical function of cloud server can make
User understands the hygienic state of institute's monitoring of environmental in each measurement period.
Based on a kind of monitoring method disclosed in above-described embodiment, referring to Fig. 6, the present embodiment correspondence discloses a kind of monitoring
Device specifically includes：
Control unit 601, for controlling the image information in image capture device acquisition target zone；
Judging unit 602, for according to the image collected information in predetermined period judge in the target zone whether
There is object of which movement；
Start unit 603, the recording function for when being determined with object of which movement, starting described image collecting device carry out
Video recording, and acquire the characteristic value of preset kind；
Recognition unit 604, for the image according to the characteristic value and the moving object of the preset kind, described in judgement
Whether moving object is target animal, and the target animal of the moving object is identified when the moving object is target animal
Type, the video recording that the image sources of the moving object obtain after described image collecting device records a video to moving object are literary
Part；
Transmission unit 605, for when the moving object is target animal, by the information of the moving object and
The video file of the moving object is uploaded to Cloud Server, make the Cloud Server by the information of the moving object and
The video file of the moving object is sent to user terminal.
A kind of monitoring device disclosed in the present embodiment judges target zone according to the image collected information in predetermined period
Inside whether there is object of which movement；When being determined with object of which movement, the recording function for starting image capture device is recorded a video, and is started
Infrared radiation thermometer detects the temperature and environment temperature of moving object；According to the temperature of the moving object, environment temperature and described
The image of moving object identifies the type of the moving object；By the information of the moving object and the moving object
Video file be uploaded to Cloud Server, make the Cloud Server by the information of the moving object and the moving object
Video file be sent to user terminal.The monitoring for invading non-human situation is realized, user is made to know defending for local environment
Raw situation.
Based on a kind of monitoring method disclosed in above-described embodiment, referring to Fig. 7, the present embodiment correspondence discloses a kind of cloud clothes
Business device, including：
Receiving unit 701, the video recording of the information and moving object of the moving object for receiving monitoring device transmission
File；
Storage unit 702, the video file for information and the moving object to the moving object carry out
Storage；
Transmission unit 703, for sending the information of the moving object and the video file of the moving object
To user terminal.
Cloud Server disclosed in the present embodiment receives and stores the information and fortune of the moving object of monitoring device transmission
The video file of animal body, and the video file of the information of the moving object and the moving object is sent to user
Terminal.Alleviate the storage pressure of monitoring device, and the information and moving object of the moving object that monitoring device is recognized
The video file of body is sent to the user terminal, and user is facilitated to understand the sanitary conditions for knowing local environment.
Based on monitoring device disclosed in above-described embodiment and Cloud Server, referring to Fig. 8, present embodiment discloses a kind of prisons
Control system, including：Image capture device 801, infrared radiation thermometer 802, Cloud Server disclosed in 803 above-described embodiment of processor
804 and user terminal 805；The processor 803 includes monitoring device disclosed in above-described embodiment.
Wherein, described image collecting device 801, for acquiring the image information in target zone.And it is examined in processor 803
Measuring in target zone the when of having object of which movement records a video.
The infrared radiation thermometer 502, temperature and environment temperature for detecting moving object.
It should be noted that image capture device 801 and 802 collected data of infrared radiation thermometer are required for being sent to place
Manage device 803.
The user terminal 805 can be smart mobile phone, iPad, tablet computer and laptop etc..
Preferably, the monitoring system further includes holder, and holder is the pedestal of image capture device 801, and holder includes water
Device that is flat or vertically rotating, control image capture device 801 horizontally or vertically rotate, and to be directed at monitoring area, holder is logical
Processor is crossed to control rotation.
A kind of monitoring system disclosed in the present embodiment judges the target according to the image collected information in predetermined period
Whether there is object of which movement in range；When being determined with object of which movement, the recording function for starting image capture device is recorded a video, and
Start the temperature and environment temperature of infrared radiation thermometer detection moving object；According to the temperature of the moving object, environment temperature and
The image of the moving object identifies the type of the moving object；By the information of the moving object and the movement
The video file of object is sent to user terminal.The monitoring for invading non-human situation is realized, user is made to know local environment
Sanitary conditions.
Based on a kind of monitoring system disclosed in above-described embodiment, referring to Fig. 9, present embodiment discloses another kind monitoring systems
It unites, further includes：Photo resistance 806, double optical filters 807 and infrared light compensating lamp 808；
The photo resistance 806, for detecting light intensity；
The photo resistance 806 is connected by I2C interface with microcontroller, microcontroller by serial ports/parallel port/SPI interface with
Processor 803 is connected.
The processor 803 is additionally operable to be switched to by controlling double optical filters 807 when light intensity is less than threshold value
Night pattern, and control double optical filters 807 when light intensity is not less than the threshold value and be switched to day mode；
Double optical filters 807 are used to cross infrared light in night pattern full impregnated, in day mode filtering infrared light.
The infrared light compensating lamp 808 is illuminated for emitting infrared light under night pattern.
A kind of monitoring system disclosed in the present embodiment is realized by photo resistance, double optical filters and infrared light compensating lamp in light
The monitoring and identification to target animal are realized when line is weaker.
The monitoring device includes memory, above-mentioned control unit, judging unit, start unit, recognition unit and transmission
Unit etc. be used as program unit storage in memory, by processor execute above procedure unit stored in memory Lai
Realize corresponding function.
Include kernel in processor, is gone in memory to transfer corresponding program unit by kernel.Kernel can be arranged one
Or more, the recognition accuracy of target animal is improved by adjusting kernel parameter.
Memory may include computer-readable medium in volatile memory, random access memory (RAM) and/
Or the forms such as Nonvolatile memory, if read-only memory (ROM) or flash memory (flash RAM), memory include at least one deposit
Store up chip.
An embodiment of the present invention provides a kind of storage mediums, are stored thereon with program, real when which is executed by processor
The existing monitoring method.
An embodiment of the present invention provides a kind of processor, the processor is for running program, wherein described program is run
Monitoring method described in Shi Zhihang：
Control the image information in image capture device acquisition target zone；
Judge whether there is object of which movement in the target zone according to the image collected information in predetermined period；
When being determined with object of which movement, the recording function for starting described image collecting device is recorded a video, and is acquired default
The characteristic value of type；
According to the image of the characteristic value of the preset kind and the moving object, judge whether the moving object is mesh
Animal is marked, and identifies the target animal type of the moving object, the moving object when the moving object is target animal
The video file that the image sources of body obtain after described image collecting device records a video to moving object；
When the moving object is target animal, by the record of the information of the moving object and the moving object
As file is uploaded to Cloud Server, make the Cloud Server by the record of the information of the moving object and the moving object
As file is sent to user terminal.
Further, described to judge whether there is object in the target zone according to the image collected information in predetermined period
Movement, including：
Macroblock motion vectors in collected each frame image information in predetermined period are counted, each frame is obtained
The maximum value of macroblock motion vectors in image information；
The weighted average for calculating the maximum value of the macroblock motion vectors in each frame image information obtains the default week
The image motion vector value of phase；
Judge whether the image motion vector value of the predetermined period is more than preset value；
If so, judging there is object of which movement in the target zone；
If it is not, judging in the target zone without object of which movement.
Further, described image collecting device includes camera and depth camera；
Image information in the control image capture device acquisition target zone, specially：
Control the image information in the camera acquisition target zone；
The recording function for starting described image collecting device is recorded a video, specially：
The recording function for starting the camera and the depth camera is recorded a video.
Further, the characteristic value of the acquisition preset kind, including：
Start the temperature of infrared radiation thermometer acquisition environment temperature and moving object.
Further, the image of the characteristic value and the moving object according to the preset kind, judges the movement
Whether object is target animal, and the target animal kind of the moving object is identified when the moving object is target animal
Class, including：
Using collected environment temperature and the temperature of the moving object as querying condition, to pre-stored different target
The body temperature tables of data of animal and the ambient temperature range tables of data of different target animal are traversed, and determine the moving object
The corresponding at least one suspected target animal of body；
The corresponding neural network image identification model of each suspected target animal for calling the Cloud Server storage, by institute
The image of moving object is stated as input data, obtains the corresponding neural network image identification model of each suspected target animal
Recognition result；
According to the recognition result of the corresponding neural network image identification model of each suspected target animal, the movement is judged
Whether object is target animal, and the target animal kind of the moving object is determined when the moving object is target animal
Class.
Present invention also provides a kind of computer program products, when being executed on data processing equipment, are adapted for carrying out just
The program of beginningization there are as below methods step：
Control the image information in image capture device acquisition target zone；
Judge whether there is object of which movement in the target zone according to the image collected information in predetermined period；
When being determined with object of which movement, the recording function for starting described image collecting device is recorded a video, and is acquired default
The characteristic value of type；
According to the image of the characteristic value of the preset kind and the moving object, judge whether the moving object is mesh
Animal is marked, and identifies the target animal type of the moving object, the moving object when the moving object is target animal
The video file that the image sources of body obtain after described image collecting device records a video to moving object；
When the moving object is target animal, by the record of the information of the moving object and the moving object
As file is uploaded to Cloud Server, make the Cloud Server by the record of the information of the moving object and the moving object
As file is sent to user terminal.
Further, described to judge whether there is object in the target zone according to the image collected information in predetermined period
Movement, including：
Macroblock motion vectors in collected each frame image information in predetermined period are counted, each frame is obtained
The maximum value of macroblock motion vectors in image information；
The weighted average for calculating the maximum value of the macroblock motion vectors in each frame image information obtains the default week
The image motion vector value of phase；
Judge whether the image motion vector value of the predetermined period is more than preset value；
If so, judging there is object of which movement in the target zone；
If it is not, judging in the target zone without object of which movement.
Further, described image collecting device includes camera and depth camera；
Image information in the control image capture device acquisition target zone, specially：
Control the image information in the camera acquisition target zone；
The recording function for starting described image collecting device is recorded a video, specially：
The recording function for starting the camera and the depth camera is recorded a video.
Further, the characteristic value of the acquisition preset kind, including：
Start the temperature of infrared radiation thermometer acquisition environment temperature and moving object.
Further, the image of the characteristic value and the moving object according to the preset kind, judges the movement
Whether object is target animal, and the target animal kind of the moving object is identified when the moving object is target animal
Class, including：
Using collected environment temperature and the temperature of the moving object as querying condition, to pre-stored different target
The body temperature tables of data of animal and the ambient temperature range tables of data of different target animal are traversed, and determine the moving object
The corresponding at least one suspected target animal of body；
The corresponding neural network image identification model of each suspected target animal for calling the Cloud Server storage, by institute
The image of moving object is stated as input data, obtains the corresponding neural network image identification model of each suspected target animal
Recognition result；
According to the recognition result of the corresponding neural network image identification model of each suspected target animal, the movement is judged
Whether object is target animal, and the target animal kind of the moving object is determined when the moving object is target animal
Class.
It should be understood by those skilled in the art that, embodiments herein can be provided as method, system or computer program
Product.Therefore, complete hardware embodiment, complete software embodiment or reality combining software and hardware aspects can be used in the application
Apply the form of example.Moreover, the application can be used in one or more wherein include computer usable program code computer
The computer program production implemented in usable storage medium (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.)
The form of product.
The application is with reference to method, the flow of equipment (system) and computer program product according to the embodiment of the present application
Figure and/or block diagram describe.It should be understood that can be realized by computer program instructions every first-class in flowchart and/or the block diagram
The combination of flow and/or box in journey and/or box and flowchart and/or the block diagram.These computer programs can be provided
Instruct the processor of all-purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices to produce
A raw machine so that the instruction executed by computer or the processor of other programmable data processing devices is generated for real
The device for the function of being specified in present one flow of flow chart or one box of multiple flows and/or block diagram or multiple boxes.
These computer program instructions, which may also be stored in, can guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works so that instruction generation stored in the computer readable memory includes referring to
Enable the manufacture of device, the command device realize in one flow of flow chart or multiple flows and/or one box of block diagram or
The function of being specified in multiple boxes.
These computer program instructions also can be loaded onto a computer or other programmable data processing device so that count
Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, in computer or
The instruction executed on other programmable devices is provided for realizing in one flow of flow chart or multiple flows and/or block diagram one
The step of function of being specified in a box or multiple boxes.
In a typical configuration, computing device includes one or more processors (CPU), input/output interface, net
Network interface and memory.
Memory may include computer-readable medium in volatile memory, random access memory (RAM) and/
Or the forms such as Nonvolatile memory, such as read-only memory (ROM) or flash memory (flash RAM).Memory is computer-readable Jie
The example of matter.
Computer-readable medium includes permanent and non-permanent, removable and non-removable media can be by any method
Or technology realizes information storage.Information can be computer-readable instruction, data structure, the module of program or other data.
The example of the storage medium of computer includes, but are not limited to phase transition internal memory (PRAM), static RAM (SRAM), moves
State random access memory (DRAM), other kinds of random access memory (RAM), read-only memory (ROM), electric erasable
Programmable read only memory (EEPROM), fast flash memory bank or other memory techniques, read-only disc read only memory (CD-ROM) (CD-ROM),
Digital versatile disc (DVD) or other optical storages, magnetic tape cassette, tape magnetic disk storage or other magnetic storage apparatus
Or any other non-transmission medium, it can be used for storage and can be accessed by a computing device information.As defined in this article, it calculates
Machine readable medium does not include temporary computer readable media (transitory media), such as data-signal and carrier wave of modulation.
It should also be noted that, the terms "include", "comprise" or its any other variant are intended to nonexcludability
Including so that process, method, commodity or equipment including a series of elements include not only those elements, but also wrap
Include other elements that are not explicitly listed, or further include for this process, method, commodity or equipment intrinsic want
Element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that including element
There is also other identical elements in process, method, commodity or equipment.
It will be understood by those skilled in the art that embodiments herein can be provided as method, system or computer program product.
Therefore, complete hardware embodiment, complete software embodiment or embodiment combining software and hardware aspects can be used in the application
Form.It is deposited moreover, the application can be used to can be used in the computer that one or more wherein includes computer usable program code
The shape for the computer program product implemented on storage media (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.)
Formula.
It these are only embodiments herein, be not intended to limit this application.To those skilled in the art,
The application can have various modifications and variations.It is all within spirit herein and principle made by any modification, equivalent replacement,
Improve etc., it should be included within the scope of claims hereof.
Claims (12)
1. a kind of monitoring method, which is characterized in that including：
Control the image information in image capture device acquisition target zone；
Judge whether there is object of which movement in the target zone according to the image collected information in predetermined period；
When being determined with object of which movement, the recording function for starting described image collecting device is recorded a video, and acquires preset kind
Characteristic value；
According to the image of the characteristic value of the preset kind and the moving object, judge whether the moving object is that target is dynamic
Object, and when the moving object to identify the target animal type of the moving object when target animal, the moving object
The video file that image sources obtain after described image collecting device records a video to moving object；
When the moving object is target animal, by the information of the moving object and the video recording of moving object text
Part is uploaded to Cloud Server, makes the Cloud Server by the information of the moving object and the video recording of moving object text
Part is sent to user terminal.
2. according to the method described in claim 1, it is characterized in that, described sentence according to the image collected information in predetermined period
Whether there is object of which movement in the target zone of breaking, including：
Macroblock motion vectors in collected each frame image information in predetermined period are counted, each frame image is obtained
The maximum value of macroblock motion vectors in information；
The weighted average for calculating the maximum value of the macroblock motion vectors in each frame image information obtains the predetermined period
Image motion vector value；
Judge whether the image motion vector value of the predetermined period is more than preset value；
If so, judging there is object of which movement in the target zone；
If it is not, judging in the target zone without object of which movement.
3. according to the method described in claim 1, it is characterized in that, described image collecting device includes camera and depth phase
Machine；
Image information in the control image capture device acquisition target zone, specially：
Control the image information in the camera acquisition target zone；
The recording function for starting described image collecting device is recorded a video, specially：
The recording function for starting the camera and the depth camera is recorded a video.
4. according to the method described in claim 1, it is characterized in that, it is described acquisition preset kind characteristic value, including：
Start the temperature of infrared radiation thermometer acquisition environment temperature and moving object.
5. according to the method described in claim 4, it is characterized in that, the characteristic value according to the preset kind and the fortune
The image of animal body judges whether the moving object is target animal, and is identified when the moving object is target animal
The target animal type of the moving object, including：
Using collected environment temperature and the temperature of the moving object as querying condition, to pre-stored different target animal
Body temperature tables of data and the ambient temperature range tables of data of different target animal traversed, determine the moving object pair
At least one suspected target animal answered；
The corresponding neural network image identification model of each suspected target animal for calling the Cloud Server storage, by the fortune
The image of animal body obtains the identification of the corresponding neural network image identification model of each suspected target animal as input data
As a result；
According to the recognition result of the corresponding neural network image identification model of each suspected target animal, the moving object is judged
Whether it is target animal, and determines the target animal type of the moving object when the moving object is target animal.
6. a kind of monitoring method, which is characterized in that it is applied to Cloud Server, the method includes：
Receive the video file of the information and moving object of the moving object that monitoring device is sent；
The video file of information and the moving object to the moving object stores；
The video file of the information of the moving object and the moving object is sent to user terminal.
7. according to the method described in claim 6, it is characterized in that, the Cloud Server to be previously stored with variety classes target dynamic
The corresponding neural network image identification model of object,
The method further includes：
Judge whether to receive the feedback information of the user terminal in preset time；
If receiving, judged according to the feedback information whether correct to the category identification of the moving object；
If correct, using the image of the moving object as the correct instruction of corresponding target animal neural network image identification model
Practice sample to be stored；
If incorrect, using the image of the moving object as the mistake of corresponding target animal neural network image identification model
Training sample is stored；
If not receiving, determination is correct to the category identification of the moving object, and using the image of the moving object as phase
The correct training sample for the target animal neural network image identification model answered is stored.
8. according to the method described in claim 6, it is characterized in that, the method further includes：
Time, number and the frequency for counting the appearance of each target animal respectively in default measurement period, according to the default system
The statistical result counted in the period generates statistical report, and the statistical report is pushed to the user terminal.
9. a kind of monitoring device, which is characterized in that including：
Control unit, for controlling the image information in image capture device acquisition target zone；
Judging unit, for judging whether there is object fortune in the target zone according to the image collected information in predetermined period
It is dynamic；
Start unit, for when being determined with object of which movement, the recording function for starting described image collecting device is recorded a video, and
Acquire the characteristic value of preset kind；
Recognition unit is used for the image of the characteristic value and the moving object according to the preset kind, judges the moving object
Whether body is target animal, and the target animal type of the moving object is identified when the moving object is target animal,
The video file that the image sources of the moving object obtain after described image collecting device records a video to moving object；
Uploading unit is used for when the moving object is target animal, by the information of the moving object and the fortune
The video file of animal body is uploaded to Cloud Server, makes the Cloud Server by the information of the moving object and the fortune
The video file of animal body is sent to user terminal.
10. a kind of Cloud Server, which is characterized in that including：
Receiving unit, the video file of the information and moving object of the moving object for receiving monitoring device transmission；
Storage unit, the video file for information and the moving object to the moving object store；
Transmission unit, for the video file of the information of the moving object and the moving object to be sent to user's end
End.
11. a kind of monitoring system, which is characterized in that including：
Processor, image capture device, infrared radiation thermometer, Cloud Server according to any one of claims 10 and user terminal；
The processor includes the monitoring device described in claim 9.
12. monitoring system according to claim 11, which is characterized in that the monitoring system further includes：It is photo resistance, double
Optical filter and infrared light compensating lamp；
The photo resistance, for detecting light intensity；
The processor is additionally operable to be switched to night pattern by controlling double optical filters when light intensity is less than threshold value,
And it controls double optical filters when light intensity is not less than the threshold value and is switched to day mode；
The infrared light compensating lamp is illuminated for emitting infrared light under night pattern.
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Cited By (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109284735A (en) * | 2018-10-17 | 2019-01-29 | 思百达物联网科技(北京)有限公司 | Mouse feelings monitoring method, device, processor and storage medium |
| CN109299703A (en) * | 2018-10-17 | 2019-02-01 | 思百达物联网科技(北京)有限公司 | The method, apparatus and image capture device counted to mouse feelings |
| CN109743759A (en) * | 2019-03-01 | 2019-05-10 | 蒋梅 | Mobile communication bandwidth dynamic adjusting device |
| CN110225300A (en) * | 2019-05-06 | 2019-09-10 | 南京理工大学 | For the low power image Transmission system and method in wireless sensor network |
| CN110381293A (en) * | 2019-06-18 | 2019-10-25 | 平安国际智慧城市科技股份有限公司 | Video monitoring method, device and computer readable storage medium |
| CN110719439A (en) * | 2019-08-30 | 2020-01-21 | 国网江西省电力有限公司抚州供电分公司 | Intelligent propaganda and education dislodging and evidence obtaining system for power distribution network dangerous area |
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| CN114095650A (en) * | 2021-09-24 | 2022-02-25 | 深圳市自由度环保科技有限公司 | Animal intelligent identification method based on artificial intelligence |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102592385A (en) * | 2012-03-16 | 2012-07-18 | 雷波泽 | Security detection system |
| CN104486439A (en) * | 2014-12-22 | 2015-04-01 | 叶广明 | Data management method and background system for monitoring hunting cameras on the basis of intelligent terminal |
| CN105260715A (en) * | 2015-10-16 | 2016-01-20 | 中国人民解放军国防科学技术大学 | Remote-area-oriented small-animal target detecting method |
| US20160026895A1 (en) * | 2014-07-23 | 2016-01-28 | Metecs, LLC | Alerting system for automatically detecting, categorizing, and locating animals using computer aided image comparisons |
| CN105763811A (en) * | 2016-03-31 | 2016-07-13 | 努比亚技术有限公司 | Shooting control device and method |
| CN106911914A (en) * | 2017-02-28 | 2017-06-30 | 中国科学院城市环境研究所 | Infrared thermal imaging animal activity tracing system |
| CN107392272A (en) * | 2017-07-26 | 2017-11-24 | 四川西谷物联科技有限公司 | Object information feedback method and system |
| CN107578010A (en) * | 2017-09-04 | 2018-01-12 | 移康智能科技（上海）股份有限公司 | Opal monitoring method and intelligent peephole |
| CN107770494A (en) * | 2017-10-27 | 2018-03-06 | 深圳市文立科技有限公司 | Wild animal monitoring system |
-
2018
- 2018-04-12 CN CN201810325926.6A patent/CN108540773B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102592385A (en) * | 2012-03-16 | 2012-07-18 | 雷波泽 | Security detection system |
| US20160026895A1 (en) * | 2014-07-23 | 2016-01-28 | Metecs, LLC | Alerting system for automatically detecting, categorizing, and locating animals using computer aided image comparisons |
| CN104486439A (en) * | 2014-12-22 | 2015-04-01 | 叶广明 | Data management method and background system for monitoring hunting cameras on the basis of intelligent terminal |
| CN105260715A (en) * | 2015-10-16 | 2016-01-20 | 中国人民解放军国防科学技术大学 | Remote-area-oriented small-animal target detecting method |
| CN105763811A (en) * | 2016-03-31 | 2016-07-13 | 努比亚技术有限公司 | Shooting control device and method |
| CN106911914A (en) * | 2017-02-28 | 2017-06-30 | 中国科学院城市环境研究所 | Infrared thermal imaging animal activity tracing system |
| CN107392272A (en) * | 2017-07-26 | 2017-11-24 | 四川西谷物联科技有限公司 | Object information feedback method and system |
| CN107578010A (en) * | 2017-09-04 | 2018-01-12 | 移康智能科技（上海）股份有限公司 | Opal monitoring method and intelligent peephole |
| CN107770494A (en) * | 2017-10-27 | 2018-03-06 | 深圳市文立科技有限公司 | Wild animal monitoring system |
Cited By (18)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109299703A (en) * | 2018-10-17 | 2019-02-01 | 思百达物联网科技(北京)有限公司 | The method, apparatus and image capture device counted to mouse feelings |
| CN109284735B (en) * | 2018-10-17 | 2019-11-29 | 思百达物联网科技(北京)有限公司 | Mouse feelings monitoring method, device and storage medium |
| CN109284735A (en) * | 2018-10-17 | 2019-01-29 | 思百达物联网科技(北京)有限公司 | Mouse feelings monitoring method, device, processor and storage medium |
| CN109743759A (en) * | 2019-03-01 | 2019-05-10 | 蒋梅 | Mobile communication bandwidth dynamic adjusting device |
| CN110225300A (en) * | 2019-05-06 | 2019-09-10 | 南京理工大学 | For the low power image Transmission system and method in wireless sensor network |
| CN110381293A (en) * | 2019-06-18 | 2019-10-25 | 平安国际智慧城市科技股份有限公司 | Video monitoring method, device and computer readable storage medium |
| CN112312076A (en) * | 2019-07-24 | 2021-02-02 | 原相科技股份有限公司 | Intelligent mobile detection device |
| CN110719439A (en) * | 2019-08-30 | 2020-01-21 | 国网江西省电力有限公司抚州供电分公司 | Intelligent propaganda and education dislodging and evidence obtaining system for power distribution network dangerous area |
| WO2021063046A1 (en) * | 2019-09-30 | 2021-04-08 | 熵康(深圳)科技有限公司 | Distributed target monitoring system and method |
| CN110728810A (en) * | 2019-09-30 | 2020-01-24 | 熵康(深圳)科技有限公司 | Distributed target monitoring system and method |
| CN110728810B (en) * | 2019-09-30 | 2021-08-17 | 熵康(深圳)科技有限公司 | Distributed target monitoring system and method |
| WO2021174601A1 (en) * | 2020-03-03 | 2021-09-10 | 广州紫川电子科技有限公司 | Infrared thermal imaging-based human body temperature anomaly detection method and apparatus |
| CN111833373A (en) * | 2020-06-01 | 2020-10-27 | 浙江双视红外科技股份有限公司 | Infrared monitoring method, device and system based on moving object in target environment |
| CN111833373B (en) * | 2020-06-01 | 2024-01-23 | 浙江双视科技股份有限公司 | Infrared monitoring method, device and system based on moving object in target environment |
| CN112183235A (en) * | 2020-09-07 | 2021-01-05 | 根尖体育科技（北京）有限公司 | Automatic control method for video acquisition aiming at sport places |
| CN112396004A (en) * | 2020-11-23 | 2021-02-23 | 支付宝(杭州)信息技术有限公司 | Method, apparatus and computer-readable storage medium for face recognition |
| CN113262072A (en) * | 2021-04-25 | 2021-08-17 | 江苏省农业科学院 | Intelligent atomization device for spraying phage biological agent and application method |
| CN114095650A (en) * | 2021-09-24 | 2022-02-25 | 深圳市自由度环保科技有限公司 | Animal intelligent identification method based on artificial intelligence |
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