CN109886730A - Put-on method, equipment and system, service equipment and method, processing equipment, medium - Google Patents
Put-on method, equipment and system, service equipment and method, processing equipment, medium Download PDFInfo
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- CN109886730A CN109886730A CN201910037052.9A CN201910037052A CN109886730A CN 109886730 A CN109886730 A CN 109886730A CN 201910037052 A CN201910037052 A CN 201910037052A CN 109886730 A CN109886730 A CN 109886730A
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Abstract
The invention discloses put-on method, equipment and system, service equipment and method, processing equipment, media.A kind of image/video dispensing device, comprising: filming apparatus is configured for shooting surrounding enviroment to obtain the image and/or video of current surrounding enviroment；Image analysis apparatus is configured for analyzing to obtain classification belonging to the current surrounding enviroment information in the image and/or video of the obtained current surrounding enviroment using deep learning target detection model；Selection device is configured for the analysis of described image analytical equipment as a result, obtaining image and/or video to be put.By perceiving and obtaining current surrounding enviroment and analyzed, the present invention can targetedly provide intelligent, personalized image/video playing function.
Description
Technical field
The present invention relates to image/video processing technique more particularly to put-on methods, equipment and system, service equipment and side
Method, processing equipment, medium.
Background technique
Currently, certain image/videos are launched or playing device does not have intelligent function, for example electronic bill-board is only capable of playing
Fixed ad content can not perceive, analyze current surrounding enviroment adjusting advertisement broadcast strategy in real time, causing to launch or broadcasting
The video or image put may in current surrounding enviroment crowd demand or feature be not inconsistent, i.e., do not have personalized video or
Image is launched or playing function.
Therefore, it is desirable to which this image/video is launched or playing device can have intelligent function to provide personalized dispensing
Or playing function.
Summary of the invention
One of in order to solve problem above, the present invention provides a kind of put-on method, equipment and system, service equipment and sides
Method, processing equipment, medium.
Image/video processing method of the invention and equipment have perception and obtain current surrounding enviroment and analyzed, into
And targetedly carry out the function of dispensing and the broadcasting of image/video.
According to one embodiment of present invention, a kind of image/video dispensing device is provided, comprising: filming apparatus is configured
For shooting surrounding enviroment to obtain the image and/or video of current surrounding enviroment；Image analysis apparatus is configured for utilizing
Deep learning target detection model divides the information in the image and/or video of the obtained current surrounding enviroment
Analysis is to obtain classification belonging to the current surrounding enviroment；Selection device is configured for point of described image analytical equipment
Analysis is as a result, obtain image and/or video to be put.
Optionally, the selection device selects to work as with described from the target image video collection launched for image/video
The video of the corresponding classification of classification belonging to preceding surrounding enviroment is to be launched.
Further optionally, the target image video collection, current surrounding enviroment captured by the filming apparatus figure
Picture and/or video and the deep learning target detection model are stored in local storage or via communication device transfers
Store remote service center.
Further optionally, the target image video collection and the deep learning target detection model can be updated,
Also, the filming apparatus shoots surrounding enviroment in real time, periodically or sporadically to obtain current surrounding enviroment image
And/or video.
Further optionally, described image video dispensing device further include: playing device is configured for playing by described
The image and/or video of selection device selection.
According to another embodiment of the invention, a kind of image/video dispensing device is provided, comprising: filming apparatus is matched
It sets for shooting surrounding enviroment to obtain the image and/or video of current surrounding enviroment；Communication device is configured for attach to
Remote service apparatus, by the image of the current surrounding enviroment shot by the filming apparatus and/or transmission of video to institute
State remote service apparatus, and receive image and/or video from the remote service apparatus, wherein the received image of institute and/
Or video is via remote service apparatus using deep learning target detection model, image to the current surrounding enviroment and/
Or video is analyzed to obtain classification belonging to the current surrounding enviroment, then from the use being stored in the remote service apparatus
Class selected in the target image video collection that image/video is launched, corresponding with classification belonging to the current surrounding enviroment
Other image and/or video；Playing device is configured for playing from the received image of the remote service apparatus and/or view
Frequently.
Further optionally, the target image video collection and the deep learning target detection model can be updated,
Also, the filming apparatus shoots surrounding enviroment in real time, periodically or sporadically to obtain the figure of current surrounding enviroment
Picture and/or video.
According to one embodiment of present invention, it provides a kind of for providing the remote of service for local image/video dispensing device
Journey service equipment, comprising: communication device is configured for attach to the local image/video dispensing device, with from this map
As video dispensing device receives the image and/or video of the current surrounding enviroment of the local image/video dispensing device, and from depositing
Storage selects image and/or view in the target image video collection launched for local image/video in the remote service apparatus
It keeps pouring in and gives local image/video dispensing device for playing；Image analysis apparatus is configured for utilizing deep learning target
Detection model analyzes to be deserved the information in the image and/or video of the received current surrounding enviroment
Classification belonging to preceding surrounding enviroment；Selection device is configured for the analysis of described image analytical equipment as a result, from described
Selected in target image video collection image and/or the video of corresponding with classification belonging to current surrounding enviroment classification with
Local image/video dispensing device is sent to for communication device to use.
According to one embodiment of present invention, a kind of image/video jettison system is provided, comprising: local runtime equipment, quilt
It is configured to the broadcasting in local runtime image and/or video, comprising: filming apparatus is configured for shooting local runtime and sets
Standby surrounding enviroment are to obtain the image and/or video of current surrounding enviroment；Communication equipment is configured for connection local runtime
Equipment and remote service apparatus, to be communicated between local runtime equipment and remote service apparatus；Remote service apparatus, quilt
It is configured to provide remote service for local runtime equipment, comprising: image analysis apparatus is configured for utilizing deep learning mesh
Detection model is marked, the information in the current surrounding enviroment image and/or video that transmit via communication equipment is divided
Analysis is to obtain classification belonging to the current surrounding enviroment；Selection device is configured for point of described image analytical equipment
Analysis as a result, from the target image video collection launched for local image/video being stored on remote service apparatus selection with
The image and/or video of the corresponding classification of classification belonging to the current surrounding enviroment are to send local fortune to via communication equipment
Row equipment uses.
Further optionally, the target image video collection and the deep learning target detection model can be updated,
Also, the filming apparatus shoots the surrounding enviroment of local runtime equipment in real time, periodically or sporadically to obtain
State the image and/or video of current surrounding enviroment.
Further optionally, above-mentioned local runtime equipment further include: playing device is configured for broadcasting and sets from communication
The image and/or video of standby received, by the remote service apparatus selection device selection.
According to one embodiment of present invention, a kind of image/video put-on method is provided, comprising: shooting surrounding enviroment are to obtain
To the image and/or video of current surrounding enviroment；Using deep learning target detection model, for the obtained current periphery
The image of environment and/or the information in video are analyzed to obtain classification belonging to the current surrounding enviroment；Based on described point
Analysis as a result, from the target image video collection launched for image/video selection with the current surrounding enviroment belonging to class
The image and/or video of not corresponding classification are to be launched.
Further optionally, the image and/or video of the target image video collection and the current surrounding enviroment and
The deep learning target detection model, which is stored in, to be locally or remotely stored.
Further optionally, the target image video collection and the deep learning target detection model can be updated,
Also, in real time, periodically or sporadically shooting surrounding enviroment with obtain the current surrounding enviroment image and/or
Video.
Further optionally, described image video put-on method further include: after selecting video, play selected figure
Picture and/or video.
According to one embodiment of present invention, a kind of image/video put-on method is provided, comprising: shooting surrounding enviroment are to obtain
To the image and/or video of current surrounding enviroment；By the image of the current surrounding enviroment of shooting and/or transmission of video to remote
Journey service equipment, and image and/or video are received from the remote service apparatus, wherein the received image of institute and/or view
Frequency is via remote service apparatus using deep learning target detection model, to the image and/or view of the current surrounding enviroment
Frequency is analyzed to obtain classification belonging to the current surrounding enviroment, then from be stored in the remote service apparatus for scheming
Classification selected in the target image video collection launched as video, corresponding with classification belonging to the current surrounding enviroment
Image and/or video；It plays from the received image of the remote service apparatus and/or video.
Further optionally, the target image video collection and the deep learning target detection model can be updated,
Also, shoot surrounding enviroment periodically or sporadically in real time, to obtain the image and/or video of current surrounding enviroment.
According to one embodiment of present invention, it provides a kind of for providing the long-range clothes of service for local image/video dispensing
Business method, comprising: receive the current surrounding enviroment of the local image/video dispensing device from local image/video dispensing device
Image and/or video；Using deep learning target detection model, image for the received current surrounding enviroment and/or
Information in video is analyzed to obtain classification belonging to the current surrounding enviroment；Based on the analysis as a result, from being used for
Selection class corresponding with classification belonging to the current surrounding enviroment in the target image video collection that local image/video is launched
Other image and/or video are used with sending local image/video dispensing device to.
According to one embodiment of present invention, a kind of image/video put-on method is provided, comprising: locally shooting peripheral ring
Border is to obtain the image and/or video of current surrounding enviroment, and by the image and/or view of the captured current surrounding enviroment
It keeps pouring in and gives remote service center；In the remote service center, using deep learning target detection model, for described current
Information in surrounding enviroment image and/or video is analyzed to obtain classification belonging to the current surrounding enviroment, and is based on institute
State analysis as a result, from the target image video collection launched for local image/video selection and the current surrounding enviroment
The image and/or video of the corresponding classification of affiliated classification are to send to local use.
Further optionally, the target image video collection and the deep learning target detection model can be updated,
Also, shoot the surrounding enviroment periodically or sporadically in real time, to obtain the image of the current surrounding enviroment
And/or video.
Further optionally, described image video put-on method further include: selected being received from remote service center
After image and/or video, the selected image and/or video are played.
According to one embodiment of present invention, a kind of image/video processing equipment is provided, comprising: processor；And storage
Device is stored thereon with executable code, when the executable code is executed by the processor, executes the processor
One of method stated.
According to one embodiment of present invention, a kind of non-transitory machinable medium is provided, being stored thereon with can
Execute code makes the processor execute above-mentioned one of method when the executable code is executed by processor.
By perceiving and obtaining current surrounding enviroment and analyzed, the present invention can targetedly provide it is intelligent,
Personalized image/video playing function.
Detailed description of the invention
Disclosure illustrative embodiments are described in more detail in conjunction with the accompanying drawings, the disclosure above-mentioned and its
Its purpose, feature and advantage will be apparent, wherein in disclosure illustrative embodiments, identical appended drawing reference
Typically represent same parts.
Fig. 1 gives the block diagram of the image/video dispensing device of an exemplary embodiment according to the present invention.
Fig. 2 gives the block diagram of the image/video dispensing device of another exemplary embodiment according to the present invention.
Fig. 3 gives the block diagram of the remote service apparatus of an exemplary embodiment according to the present invention.
Fig. 4 gives the block diagram of the image/video jettison system of an exemplary embodiment according to the present invention.
Fig. 5 gives the schematic diagram of the image/video put-on method of an exemplary embodiment according to the present invention.
Fig. 6 gives the schematic diagram of the image/video put-on method of another exemplary embodiment according to the present invention.
Fig. 7 gives the schematic diagram of the remote service method of further exemplary embodiment according to the present invention.
Fig. 8 gives the schematic diagram of the image/video put-on method of another exemplary embodiment according to the present invention.
Fig. 9 gives the block diagram of the image/video processing equipment of an exemplary embodiment according to the present invention.
Figure 10 gives the of the invention specific example under local operating conditions.
Figure 11 gives in local and the specific example of the invention under the running environment remotely combined.
Specific embodiment
The preferred embodiment of the disclosure is more fully described below with reference to accompanying drawings.Although showing the disclosure in attached drawing
Preferred embodiment, however, it is to be appreciated that may be realized in various forms the disclosure without the embodiment party that should be illustrated here
Formula is limited.On the contrary, these embodiments are provided so that this disclosure will be more thorough and complete, and can be by the disclosure
Range is completely communicated to those skilled in the art.What needs to be explained here is that number, serial number and attached drawing in the application
Mark it is merely for convenience description and occur, for step of the invention, sequence etc. be not limited in any way, unless
The execution that step has been explicitly pointed out in specification has specific sequencing.
The invention is intended to increase for image/video delivery device (such as electronic bill-board) to the acquisition Jing Guo personnel's situation
And analysis ability, to select suitable image and/or video (such as targeted advertisements, including for example static according to assessment result
Advertisement and dynamic advertising etc.) it plays out, to improve play quality, is promoted and play efficiency and value.
It in order to facilitate understanding and describes, introduces running environment of the invention herein first.The present invention both can be implemented at this
In ground running environment, i.e., all solves the problems, such as to be treated local, do not need remotely to handle；Can also be deployed in it is local and
In long-range united environment, such as it is being locally stored and/or processing capacity is limited or does not have required strong storage and/or locates
It, can be (such as logical by long-range mode in the case where reason ability (such as due to be locally stored and/or the limitation of process resource)
Cross remote server) it helps local to carry out certain processing.Such performance is distinguished in subsequent exemplary embodiment
It is described.
Further, that is to say, that both can be in both local operating conditions and remote server, all deployment is of the invention
The image/video material for needing learning model to be used and needing to launch can also dispose need to use in one of both
The image/video material etc. practised model and need to launch.
Wherein, in the case where all disposing in the two, can take the circumstances into consideration to consider, according to different situations, such as in certain feelings
Under condition (such as processing locality resource enough and need the case where timely responding to etc.), needed for preferentially being carried out in home environment
Analysis processing and selection processing etc. (subsequent have is discussed in detail), and in some cases (such as happen suddenly and locate in local demand
Manage scarce capacity or do not need the case where responding quickly etc.) required analysis processing and selection are preferentially carried out from remote server
Processing etc..
Fig. 1 gives the block diagram of the image/video dispensing device of an exemplary embodiment according to the present invention.
As shown in Figure 1, the image/video dispensing device 100 of an exemplary embodiment according to the present invention may include clapping
Take the photograph device 101, image analysis apparatus 102, selection device 103.
Wherein, filming apparatus 101 can be configured for shooting surrounding enviroment with obtain current surrounding enviroment image and/
Or video.
Here, filming apparatus 101 can be camera or picture pick-up device (such as camera etc.).Further, in this hair
In bright, filming apparatus 101 here may include one or more camera or picture pick-up device, to obtain more fully currently
The image and/or video of surrounding enviroment.
Image analysis apparatus 102 can be configured for using deep learning target detection model, described in obtaining
The image of current surrounding enviroment and/or the information in video are analyzed to obtain classification belonging to the current surrounding enviroment.
Here, the example of deep learning target detection model can be such as RCNN (Regional Convolutional
Neural Network, region convolutional neural networks), FAST-RCNN, FASTER-RCNN etc., it is noted that these examples
Any restrictions should not be constituted to the present invention.
In addition, carrying out analysis for the information in image and/or video may include: the captured current peripheral ring of analysis
The information of classifications needed for age of the people occurred in the image and/or video in border, gender, dressing etc. are various, and according to dividing
The current surrounding enviroment are divided into respective classes by the information of analysis.
For example, if showing occur in surrounding enviroment in this prior in current surrounding enviroment image and/or video information
The current surrounding enviroment can then be classified as in " fashion area " by the more comparatively dense of women, and mostly young woman.
For another example if showing occur in surrounding enviroment in this prior in current surrounding enviroment image and/or video information
The more comparatively dense of Yong adult people, then the surrounding enviroment can be classified as " commercial workspace ".
It note that the above-mentioned example classified according to crowd for current surrounding enviroment is only illustrative, it is practical
On various classification can be carried out for current surrounding enviroment according to demand, for example, according to house situation, according to appearance
Vehicle condition, according to traffic conditions etc., the present invention is not intended to be limited in any this.
In addition, the classification of current surrounding enviroment may change, for example dash forward in a busy business district period
So there is more the elderly, then the image and/or video that pass through the surrounding enviroment of real-time or timing, not timing shooting are more
This situation newly can be perceived or get, so as to analyze to come and launched image can be changed in real time in turn
And/or the content (such as advertisement) of video, it can launch image and/or video that the suitable the elderly of certain time watches
(such as the elderly be suitble to advertisement), without launching the figure of a type forever because this place was once divided into " shopping centre "
Picture and/or video (such as advertisement).
Selection device 103 can be configured for the analysis of described image analytical equipment as a result, obtaining to be put
Image and/or video.
Optionally, selection device 103 can select and institute from the target image video collection launched for image/video
The image and/or video for stating the corresponding classification of classification belonging to current surrounding enviroment are to be launched.
Here, the target image video collection launched for image/video can be for example publicity or advertisement image, video display
Acute, painting and calligraphy pieces displaying etc., in addition, may include static content in the set, also may include dynamic content, the present invention couple
These are all not intended to be limited in any.
In addition, when selecting image and/or video from target image video collection, as previously mentioned, can be based on current
Local environmental conditions more targetedly select more suitable image and/or video, more to meet the need of current surrounding enviroment
It asks, to realize that the intelligence of image/video is launched.
By perceiving and obtaining current surrounding enviroment and analyzed, the present invention can targetedly provide it is intelligent,
Personalized image/video playing function.
Here, the image/video dispensing device in the present embodiment is the dispensing device of an intelligence, can oneself processing figure
As shooting, analysis, choose the sequence of operations such as broadcasting content, that is, can be not required to by external storage or processing function.
But, it even if the image/video dispensing device in the present embodiment can independently carry out various Intelligent treatments, remains on
Target detection mould can be carried out to the image/video dispensing device via communication device by remote server or service centre
The functions such as the update and maintenance of type and/or the file in image/video set.
Further optionally, above-mentioned target image video collection, current surrounding enviroment captured by filming apparatus 101
Image and/or video and above-mentioned deep learning target detection model can store in local storage device or via logical
Remote service center or remote server are arrived in T unit transmission storage.
Wherein, above-mentioned to be stored in local scheme and obtain the advantages of timely responding to, but, resource is being locally stored
In the case where insufficient or needs backup, it is transferred to the side that remote service center or remote server are stored and/or handled
Case can obtain the advantages of sharing local pressure, enhancing or extension storage and processing capacity.
In addition, above-mentioned deep learning target detection model can be updated or be replaced at any time, to be more convenient for image/video
The flexible processing of material.
Here, although image/video dispensing device in the present embodiment can not by external storage or processing function,
But, possibly even storage and/or processing function can also be given outside and set with the external interaction for carrying out some functions
It is standby to carry out, to further expand the storage and/or processing capacity of the image/video dispensing device.
Further optionally, above-mentioned target image video collection and deep learning target detection model can be updated or
Replacement.I.e., it is possible to which the image and/or video to target image video collection are extended or convert, to update, enrich or replace
Content therein.As deep learning target detection model is also, can be updated, enrich or replace etc..
It is possible to further which target image video collection and the inspection of deep learning target are updated or replaced according to business demand
Survey model etc..For example, only need to carry out the dispensing of intelligence, personalized image and/or video before for the gender of crowd,
Consider to increase the age differences more segmented, even fashion degree index etc. later, needs to dispose richer target image at this time
Video material, it is also desirable to which thus more comprehensive and refinement the learning model of service index is needed to be updated them in due course, be replaced
It changes.Certainly, this form that the present invention is not limited to be illustrated, but can according to circumstances, neatly carry out it is various deployment and
It updates, replacement.
Moreover, following advantages may be implemented in above-mentioned update and alternative: that is, not carrying out upgrading and portion to hardware device
Administration, it is only necessary to learning model and the data stored and/or material be updated and be replaced, thus, it is possible to substantially reduce into
This, and realize upper more flexible, timely, conveniently, it is effectively promoted and plays efficiency and quality.
Further optionally, above-mentioned filming apparatus can in real time, periodically or sporadically shoot surrounding enviroment
To obtain current surrounding enviroment image and/or video.
Further optionally, above-mentioned image/video dispensing device 100 can also include playing device 104, can be matched
It sets for playing the image and/or video that are selected by the selection device 103.
Here, playing device 104 can be display equipment (such as display screen) etc..
Fig. 2 gives the block diagram of the image/video dispensing device of another exemplary embodiment according to the present invention.
As shown in Fig. 2, the image/video dispensing device 200 of another exemplary embodiment according to the present invention may include
Filming apparatus 201, communication device 205, playing device 204.
Wherein, similar with the filming apparatus 101 in Fig. 1, filming apparatus 201 can be configured for shooting surrounding enviroment with
Obtain the image and/or video of current surrounding enviroment.
Communication device 205 can be configured for attach to remote service apparatus (such as the remote service apparatus in Fig. 4
500), by the image of the current surrounding enviroment shot by filming apparatus 201 and/or transmission of video to remote service apparatus, and
And image and/or video are received from remote service apparatus, wherein the received image of institute and/or video are via remote service
Equipment utilization deep learning target detection model analyzes to obtain the image and/or video of the current surrounding enviroment
Classification belonging to the current surrounding enviroment, then from the target launched for image/video being stored in the remote service apparatus
The image and/or video of classification being selected in image/video set, corresponding with classification belonging to the current surrounding enviroment.
Here, communication device 205 can be using any communication mode of wire communication, wireless communication etc., the present invention couple
This is not intended to be limited in any.Moreover, not only communication device 205, any one " communication " vocabulary occurred in the present invention are ok
Be embodied as any communication mode, behind this is repeated no more.
Playing device 204 is similar with the playing device 104 in Fig. 1, can be configured for playing from the remote service
The received image of equipment and/or video.
By perceiving and obtaining current surrounding enviroment and by the current surrounding enviroment of remote analysis to select suitably to play
Content, the present invention can targetedly provide intelligent, personalized image/video playing function.
Here, the image/video dispensing device of the present embodiment comes by means of external (such as remote service apparatus) storage
Store target image video collection, and also current to analyze by means of external (such as remote service apparatus) processing capacity
The image and/or video of surrounding enviroment and suitable image and/or video are selected from target image video collection.For one
For the electronic equipment of itself a storage and processing scarce capacity, the present invention can be extended by external storage and processing ability
It is functional, and increases intelligence for it, and can reduce operation cost.
Further optionally, target image video collection and deep learning target detection similar with aforementioned situation, above-mentioned
Model can be updated.
Also, optionally, filming apparatus 204 can shoot surrounding enviroment in real time, periodically or sporadically to obtain
To the image and/or video of current surrounding enviroment.
Fig. 3 gives the block diagram of the remote service apparatus of an exemplary embodiment according to the present invention.
As shown in figure 3, the remote service apparatus 300 of an exemplary embodiment according to the present invention is configured to as local
Image/video dispensing device (the image/video dispensing device 100 of example as shown in figure 1, the image/video dispensing device 200 in Fig. 2, figure
Local runtime equipment 400 in 5 etc.) remote service is provided, it may include communication device 305, image analysis apparatus 302, choosing
Select device 303.
Wherein, communication device 305 can be configured for attach to local image/video dispensing device, with from local image
Video dispensing device receives the image and/or video of the current surrounding enviroment of the local image/video dispensing device, and from storage
Image and/or video are selected in the target image video collection launched for local image/video in the remote service apparatus
Local image/video dispensing device is sent to for playing.
Image analysis apparatus 302 can be configured for using deep learning target detection model, for received described
The image of current surrounding enviroment and/or the information in video are analyzed to obtain classification belonging to the current surrounding enviroment.
Selection device 303 can be configured for the analysis of described image analytical equipment as a result, from the target figure
As selecting image and/or the video of classification corresponding with classification belonging to the current surrounding enviroment for communication in video collection
Device sends local image/video dispensing device to and uses.
In the present embodiment, local image/video dispensing device is run in local runtime, remote service apparatus in distal end, and two
Person can be communicated by communication device to transmit data.
By perceiving and obtaining current surrounding enviroment and by the current surrounding enviroment of remote analysis to select suitably to play
Content, the present invention can targetedly provide intelligent, personalized image/video playing function.
Fig. 4 gives the block diagram of the image/video jettison system 1000 of an exemplary embodiment according to the present invention.
As shown in figure 4, the image/video jettison system 1000 of an exemplary embodiment according to the present invention may include
Local runtime equipment 400, remote service apparatus 500, communication equipment 1005.
Wherein, above-mentioned local runtime equipment 400 can be configured for broadcasting in local runtime image and/or video
It puts, may include filming apparatus 405.
Here, it is current to obtain can be configured for the surrounding enviroment of shooting local runtime equipment 400 for filming apparatus 405
The image and/or video of surrounding enviroment.
In addition, the communication equipment 1005 of image/video jettison system 1000 can be configured for connection local runtime equipment
400 with remote service apparatus 500, to be communicated between local runtime equipment and remote service apparatus.
The remote service apparatus 500 of image/video jettison system 1000 can be configured for providing for local runtime equipment
Remote service may include image analysis apparatus 502, selection device 503.
Wherein, the image analysis apparatus 502 of remote service apparatus 500 can be configured for examining using deep learning target
Model is surveyed, the information in the current surrounding enviroment image and/or video that transmit via communication equipment 1005 is divided
Analysis is to obtain classification belonging to the current surrounding enviroment.
The selection device 503 of remote service apparatus 500 can be configured for the analysis of described image analytical equipment
As a result, selection and institute from the target image video collection launched for local image/video being stored on remote service apparatus
The image and/or video for stating the corresponding classification of classification belonging to current surrounding enviroment are to send local runtime to via communication equipment
Equipment uses.
Present embodiment illustrates a kind of image/videos for the synthesis that local runtime equipment and remote service apparatus interact with each other
Jettison system.
By perceiving and obtaining current surrounding enviroment and by the current surrounding enviroment of remote analysis to select suitably to play
Content, the present invention can targetedly provide intelligent, personalized image/video playing function.
Further optionally, above-mentioned target image video collection and deep learning target detection model can be updated.
Further optionally, above-mentioned filming apparatus 405 can in real time, periodically or sporadically shoot local fortune
The surrounding enviroment of row equipment are to obtain the image and/or video of the current surrounding enviroment.
Further optionally, above-mentioned local runtime equipment 400 can also include playing device 404, can be configured to use
Image and/or video received from communication equipment 1005 in broadcasting, selected by the selection device 503 of remote service apparatus 500.
Fig. 5 gives the schematic diagram of the image/video put-on method of an exemplary embodiment according to the present invention.
As shown in figure 5, the image/video put-on method 100 of an exemplary embodiment according to the present invention may include as
Lower step.
In step S101, surrounding enviroment are shot to obtain the image and/or video of current surrounding enviroment.
In step S102, using deep learning target detection model, for the image of the obtained current surrounding enviroment
And/or the information in video is analyzed to obtain classification belonging to the current surrounding enviroment.
It is based on the analysis as a result, from the target image video collection launched for image/video in step S103
The image and/or video for selecting classification corresponding with classification belonging to the current surrounding enviroment are to be launched.
Further optionally, above-mentioned target image video collection and current surrounding enviroment image and deep learning target
Detection model, which is stored in, to be locally or remotely stored.
Further optionally, above-mentioned target image video collection and deep learning target detection model can be updated.
And it is possible to shoot surrounding enviroment in real time, periodically or sporadically to obtain the current surrounding enviroment
Image and/or video.
Further optionally, above-mentioned image/video put-on method 100 can also include step S104.
Selected image and/or video are played after selecting video in step S104.
By perceiving and obtaining current surrounding enviroment and by the current surrounding enviroment of analysis to select suitable broadcasting content,
The present invention can targetedly provide intelligent, personalized image/video playing function.
Fig. 6 gives the schematic diagram of the image/video put-on method 200 of another exemplary embodiment according to the present invention.
As shown in fig. 6, the image/video put-on method 200 of another exemplary embodiment according to the present invention may include
Following steps.
In step S201, surrounding enviroment are shot to obtain the image and/or video of current surrounding enviroment.
In step S202, by the image of the current surrounding enviroment of shooting and/or transmission of video to remote service apparatus (such as
The remote service apparatus 300 of Fig. 3, remote service apparatus 500 of Fig. 5 etc.), and from remote service apparatus receive image and/or
Video.
Wherein, the received image of institute and/or video are to utilize deep learning target detection mould via remote service apparatus
Type, image and/or video to current surrounding enviroment are analyzed to obtain classification belonging to the current surrounding enviroment, then from
It is stored in being selected in the target image video collection launched for image/video in the remote service apparatus and described current
The image and/or video of the corresponding classification of classification belonging to surrounding enviroment.
In step S204, play from the received image of the remote service apparatus and/or video.
By perceiving and obtaining current surrounding enviroment and by the current surrounding enviroment of remote analysis to select suitably to play
Content, the present invention can targetedly provide intelligent, personalized image/video playing function.
Further optionally, above-mentioned target image video collection and deep learning target detection model can be updated.
Furthermore it is possible to shoot surrounding enviroment in real time, periodically or sporadically to obtain the figure of current surrounding enviroment
Picture and/or video.
Fig. 7 gives the schematic diagram of the remote service method 300 of further exemplary embodiment according to the present invention.
As shown in fig. 7, the remote service method 300 of further exemplary embodiment according to the present invention may include as follows
Step.
In step S301, from local image/video dispensing device (for example, the 100 of Fig. 1, the 200 of Fig. 2, Fig. 4 400 etc.)
Receive the image and/or video of the current surrounding enviroment of the local image/video dispensing device.
In step S302, using deep learning target detection model, image for received current surrounding enviroment and/or
Information in video is analyzed to obtain classification belonging to the current surrounding enviroment.
In step S303, based on above-mentioned analysis as a result, from the target image video set launched for local image/video
The image and/or video for selecting classification corresponding with classification belonging to current surrounding enviroment in conjunction are to send local image/video to
Dispensing device uses.
By perceiving and obtaining current surrounding enviroment and by the current surrounding enviroment of remote analysis to select suitably to play
Content, the present invention can targetedly provide intelligent, personalized image/video playing function.
Fig. 8 gives the schematic diagram of the image/video put-on method 400 of another exemplary embodiment according to the present invention.
The image/video put-on method 400 of another exemplary embodiment according to the present invention may include steps of.
In step S401, in locally shooting surrounding enviroment to obtain the image and/or video of current surrounding enviroment, and by institute
The image and/or video of the current surrounding enviroment of shooting send remote service center to (for example, the 300 of the 500 of Fig. 4, Fig. 3
Deng).
In step S402, in the remote service center, using deep learning target detection model, for above-mentioned current week
Information in surrounding environment image and/or video is analyzed to obtain classification belonging to the current surrounding enviroment, and based on described
Analysis as a result, from the target image video collection launched for local image/video selection and above-mentioned current surrounding enviroment
The image and/or video of the corresponding classification of affiliated classification are to send to local use.
By perceiving and obtaining current surrounding enviroment and by the current surrounding enviroment of remote analysis to select suitably to play
Content, the present invention can targetedly provide intelligent, personalized image/video playing function.
Further optionally, above-mentioned target image video collection and deep learning target detection model can be updated.
And it is possible to which it is described current to obtain in real time, periodically or sporadically to shoot the current surrounding enviroment
The image and/or video of surrounding enviroment.
Further optionally, above-mentioned image/video put-on method 400 can also include step S404.
Wherein, it in step S404, after receiving selected image and/or video from remote service center, plays
The selected image and/or video.
Fig. 9 gives the block diagram of the image/video processing equipment of an exemplary embodiment according to the present invention.
Referring to Fig. 9, which includes memory 10 and processor 20.
It note that in the present invention, the memory in storage device and Fig. 9 mentioned above can be different portion
Part, is also possible to the same component, and the present invention is not intended to be limited in any this.
Processor 20 can be the processor of a multicore, also may include multiple processors.In some embodiments, locate
Reason device 20 may include a general primary processor and one or more special coprocessors, such as graphics processor
(GPU), digital signal processor (DSP) etc..In some embodiments, the circuit realization of customization can be used in processor 20,
Such as application-specific IC (ASIC, Application Specific Integrated Circuit) or scene can
Programmed logic gate array (FPGA, Field Programmable Gate Arrays).
It is stored with executable code on memory 10, when the executable code is executed by the processor 20, makes institute
It states processor 20 and executes one of data migration method described above.Wherein, memory 10 may include various types of storages
Unit, such as Installed System Memory, read-only memory (ROM) and permanent storage.Wherein, ROM can store processor 20 or
The static data or instruction that other modules of computer need.Permanent storage can be read-write storage device.Forever
Long storage device will not lose the non-volatile memory device of the instruction and data of storage can be after computer circuit breaking.
In some embodiments, permanent storage device is using mass storage device (such as magnetically or optically disk, flash memory) as permanent
Storage device.In other embodiment, permanent storage device can be removable storage equipment (such as floppy disk, light
It drives).Installed System Memory can be read-write storage equipment or the read-write storage equipment of volatibility, such as in dynamic random-access
It deposits.Installed System Memory can store the instruction and data that some or all processors need at runtime.In addition, memory 10 can
To include the combination of any computer readable storage medium, including various types of semiconductor memory chips (DRAM, SRAM,
SDRAM, flash memory, programmable read only memory), disk and/or CD can also use.In some embodiments, memory
10 may include removable storage equipment that is readable and/or writing, such as laser disc (CD), read-only digital versatile disc
(such as DVD-ROM, DVD-dual layer-ROM), read-only Blu-ray Disc, super disc density, flash card (such as SD card, min SD card,
Micro-SD card etc.), magnetic floppy disc etc..Computer readable storage medium does not include carrier wave and by wirelessly or non-wirelessly transmitting
Momentary electron signal.
In addition, being also implemented as a kind of computer program or computer program product, the meter according to the method for the present invention
Calculation machine program or computer program product include the calculating for executing the above steps limited in the above method of the invention
Machine program code instruction.
Alternatively, the present invention can also be embodied as a kind of (or the computer-readable storage of non-transitory machinable medium
Medium or machine readable storage medium), it is stored thereon with executable code (or computer program or computer instruction code),
When the executable code (or computer program or computer instruction code) by electronic equipment (or calculate equipment, server
Deng) processor execute when, so that the processor is executed each step according to the above method of the present invention.
Example is embodied
Figure 10 and Figure 11 gives under local operating conditions and in local and the sheet under the running environment remotely combined
Two specific examples of invention.Two examples here be note that merely to being readily appreciated that and providing, should not make for
Limitation of the invention.
(such as intelligence can be for the image/video dispensing device of the invention under local operating conditions shown in Fig. 10
Advertising device, alternatively referred to as " intelligent advertisement board ") specific example, it is local equipped with filming apparatus (camera and/or camera shooting
Machine, for shooting monitoring image and/or video), playing device (display screen), storage device is (for storing target detection model
With image/video set (such as static and or dynamic promotional literature etc.)).
In this example, it can be stored, handled, be launched by the image/video dispensing device of local operating conditions itself
With the various functions such as operation, function is more complete, but as described above, can also be by remotely carrying out Function Extension, for example, logical
It crosses communication device (such as network equipment shown in Fig. 10) and is connected to remote server or service centre, Lai Jinhang target detection mould
(here, local operating conditions and the long-range running environment group such as update and maintenance of type and/or the file in image/video set
It closes, can be used as a kind of image/video jettison system of the invention).In this case, the image/video of local operating conditions is launched
The advantages of equipment is that multiple functional, O&M cost is low.
For local shown in Figure 11 and the image/video dispensing device (example of the invention under the running environment remotely combined
Such as can be Intelligent advertising device, alternatively referred to as " intelligent advertisement board ") specific example, be locally likewise equipped with filming apparatus
(camera and/or video camera, for shooting monitoring image and/or video), playing device (display screen), but show with Figure 10
Example is different, in this example, can not locally have storage device (for storing target detection model and image/video set
(such as static and or dynamic promotional literature etc.)), the storage capacity and/or processing of the exemplary image/video dispensing device
Ability provides (as shown in figure 11) by long-range running environment, that is, the filming apparatus shooting in the image/video dispensing device
Monitoring image and/or video via communication device, (network equipment can be located in image/video dispensing device, can also be with
It is the individual component separated with image/video dispensing device, the present invention is not intended to be limited in any this) it is transmitted to long-range fortune
Row environment, such as remote server, the analysis needed for then being carried out by image and/or video of the long-range running environment to shooting,
Then image and/or video to be put are selected from the image/video set stored in long-range running environment, are filled via communication
It sets and is transmitted to home environment, to be played in home environment.Equally, in this example, local operating conditions and long-range running environment group
It closes, can be used as a kind of image/video jettison system of the invention.
In this example, local operating conditions itself not can be carried out adequately storage, processing, launch and run, and need to pass through
Long-range running environment provides corresponding function, in this case, the advantages of local image/video dispensing device be it is compact,
Hardware cost is low, flexible and convenient.
In fact, implementation example of the invention can also have it is very more, those skilled in the art completely can according to herein
The main innovation thought of the invention provided, designs more embodiments.
Those skilled in the art will also understand is that, various illustrative logical blocks, mould in conjunction with described in disclosure herein
Block, circuit and algorithm steps may be implemented as the combination of electronic hardware, computer software or both.
What flow chart and block diagram in attached drawing etc. showed the system and method for multiple embodiments according to the present invention can
The architecture, function and operation being able to achieve.In this regard, each box in flowchart or block diagram can represent a mould
A part of block, program segment or code, a part of the module, section or code include one or more for realizing rule
The executable instruction of fixed logic function.It should also be noted that in some implementations as replacements, the function of being marked in box
It can also be occurred with being different from the sequence marked in attached drawing.For example, two continuous boxes can actually be substantially in parallel
It executes, they can also be executed in the opposite order sometimes, and this depends on the function involved.It is also noted that block diagram and/
Or the combination of each box in flow chart and the box in block diagram and or flow chart, can with execute as defined in function or
The dedicated hardware based system of operation is realized, or can be realized using a combination of dedicated hardware and computer instructions.
Various embodiments of the present invention are described above, above description is exemplary, and non-exclusive, and
It is not limited to disclosed each embodiment.Without departing from the scope and spirit of illustrated each embodiment, for this skill
Many modifications and changes are obvious for the those of ordinary skill in art field.The selection of term used herein, purport
In the principle, practical application or improvement to the technology in market for best explaining each embodiment, or make the art
Other those of ordinary skill can understand each embodiment disclosed herein.
Claims (23)
1. a kind of image/video dispensing device characterized by comprising
Filming apparatus is configured for shooting surrounding enviroment to obtain the image and/or video of current surrounding enviroment；
Image analysis apparatus is configured for using deep learning target detection model, for the obtained current peripheral ring
The image in border and/or the information in video are analyzed, to obtain classification belonging to the current surrounding enviroment；
Selection device is configured for the analysis of described image analytical equipment as a result, obtaining image and/or view to be put
Frequently.
2. image/video dispensing device as described in claim 1, which is characterized in that the target image video collection, described
The image and/or video of current surrounding enviroment captured by filming apparatus and deep learning target detection model storage
In local storage or via communication device transfers storage to remote server.
3. image/video dispensing device as claimed in claim 1 or 2, which is characterized in that the target image video collection and
The deep learning target detection model can be updated, also, the filming apparatus is in real time, periodically or not timing
Ground shoots surrounding enviroment to obtain current surrounding enviroment image and/or video.
4. image/video dispensing device as claimed in claim 1 or 2, which is characterized in that described image video dispensing device is also
Include:
Playing device is configured for playing the image and/or video selected by the selection device.
5. image/video dispensing device as claimed in claim 1 or 2, which is characterized in that the selection device is from for image
The image of selection classification corresponding with classification belonging to the current surrounding enviroment in the target image video collection that video is launched
And/or video is for launching.
6. a kind of image/video dispensing device characterized by comprising
Filming apparatus is configured for shooting surrounding enviroment to obtain the image and/or video of current surrounding enviroment；
Communication device is configured for attach to remote service apparatus, the current week that will be shot by the filming apparatus
The image and/or transmission of video of surrounding environment give the remote service apparatus, and from the remote service apparatus receive image and/
Or video, wherein the received image of institute and/or video are to utilize deep learning target detection mould via remote service apparatus
Type, image and/or video to the current surrounding enviroment are analyzed to obtain classification belonging to the current surrounding enviroment, so
Afterwards from be stored in the remote service apparatus for image/video launch target image video collection in select, with it is described
The image and/or video of the corresponding classification of classification belonging to current surrounding enviroment；
Playing device is configured for playing from the received image of the remote service apparatus and/or video.
7. image/video dispensing device as claimed in claim 6, which is characterized in that the target image video collection and described
Deep learning target detection model can be updated, also, the filming apparatus in real time, periodically or is sporadically clapped
Surrounding enviroment are taken the photograph to obtain the image of current surrounding enviroment and/or video.
8. a kind of for providing the remote service apparatus of service for local image/video dispensing device characterized by comprising
Communication device is configured for attach to the local image/video dispensing device, to set from the dispensing of local image/video
The image and/or video of the standby current surrounding enviroment for receiving the local image/video dispensing device, and from being stored in the long-range clothes
Image and/or video is selected to send local in the target image video collection launched for local image/video in business equipment
Image/video dispensing device is for broadcasting；
Image analysis apparatus is configured for using deep learning target detection model, for the received current peripheral ring
The image in border and/or the information in video are analyzed to obtain classification belonging to the current surrounding enviroment；
Selection device is configured for the analysis of described image analytical equipment as a result, from the target image video collection
The image and/or video of middle selection classification corresponding with classification belonging to the current surrounding enviroment are sent to for communication device
Local image/video dispensing device uses.
9. a kind of image/video jettison system, which is characterized in that described image video jettison system includes local runtime equipment, leads to
Believe equipment and remote service apparatus, wherein
The local runtime equipment is configured for the broadcasting in local runtime image and/or video, comprising:
Filming apparatus is configured for the surrounding enviroment of shooting local runtime equipment to obtain the image and/or view of surrounding enviroment
Frequently；
The communication equipment is configured for connection local runtime equipment and remote service apparatus, in local runtime equipment and far
It is communicated between journey service equipment；
The remote service apparatus is configured for providing remote service for local runtime equipment, comprising:
Image analysis apparatus is configured for using deep learning target detection model, for transmitting via the communication equipment
The current surrounding enviroment image and/or the information in video analyzed to obtain class belonging to the current surrounding enviroment
Not；
Selection device is configured for the analysis of described image analytical equipment as a result, from being stored on remote service apparatus
The target image video collection launched for local image/video in select and classification phase belonging to the current surrounding enviroment
The image and/or video of corresponding classification are used with sending local runtime equipment to via communication equipment.
10. image/video jettison system as claimed in claim 9, which is characterized in that the target image video collection and institute
Stating deep learning target detection model can be updated, also, the filming apparatus is in real time, periodically or sporadically
The current surrounding enviroment of local runtime equipment are shot to obtain the image and/or video of the current surrounding enviroment.
11. the image/video jettison system as described in claim 9 or 10, which is characterized in that the local runtime equipment is also wrapped
It includes:
Playing device is configured for playing the selection device received from communication equipment, by the remote service apparatus
The image and/or video of selection.
12. a kind of image/video put-on method characterized by comprising
Surrounding enviroment are shot to obtain the image and/or video of current surrounding enviroment；
Using deep learning target detection model, for the letter in the image and/or video of the obtained current surrounding enviroment
Breath is analyzed to obtain classification belonging to the current surrounding enviroment；And
It is based on the analysis as a result, from the target image video collection launched for image/video selection with the current week
The image and/or video of the corresponding classification of classification belonging to surrounding environment are to be launched.
13. image/video put-on method as claimed in claim 12, which is characterized in that the target image video collection and institute
The image and/or video and the deep learning target detection model for stating current surrounding enviroment are stored in Local or Remote and deposit
Storage.
14. image/video put-on method as described in claim 12 or 13, which is characterized in that the target image video collection
It can be updated with the deep learning target detection model, also, in real time, periodically or sporadically shoot periphery
Environment is to obtain the image and/or video of the current surrounding enviroment.
15. image/video put-on method as described in claim 12 or 13, which is characterized in that described image video put-on method
Further include:
After selecting video, selected image and/or video are played.
16. a kind of image/video put-on method characterized by comprising
Surrounding enviroment are shot to obtain the image and/or video of current surrounding enviroment；
By the image of the current surrounding enviroment of shooting and/or transmission of video to remote service apparatus, and from described long-range
Service equipment receives image and/or video, wherein the received image of institute and/or video are utilized via remote service apparatus
Deep learning target detection model, image and/or video to the current surrounding enviroment are analyzed to obtain the current week
Classification belonging to surrounding environment, then from the target image video launched for image/video being stored in the remote service apparatus
The image and/or video of classification being selected in set, corresponding with classification belonging to the current surrounding enviroment；And
It plays from the received image of the remote service apparatus and/or video.
17. image/video put-on method as claimed in claim 16, which is characterized in that the target image video collection and institute
Stating deep learning target detection model can be updated, also, in real time, periodically or sporadically shoot surrounding enviroment
To obtain the image and/or video of current surrounding enviroment.
18. a kind of for providing the remote service method of service for local image/video dispensing characterized by comprising
From local image/video dispensing device receive the current surrounding enviroment of the local image/video dispensing device image and/or
Video；
Using deep learning target detection model, for the letter in the image and/or video of the received current surrounding enviroment
Breath is analyzed to obtain classification belonging to the current surrounding enviroment；
It is based on the analysis as a result, selecting to work as with described from the target image video collection launched for local image/video
The image and/or video of the corresponding classification of classification belonging to preceding surrounding enviroment are made with sending local image/video dispensing device to
With.
19. a kind of image/video put-on method characterized by comprising
In locally shooting surrounding enviroment to obtain the image and/or video of current surrounding enviroment, and will be captured described current
The image and/or video of surrounding enviroment send remote service center to；
In the remote service center, using deep learning target detection model, for the current surrounding enviroment image and/or
Information in video is analyzed to obtain classification belonging to the current surrounding enviroment, and based on the analysis as a result, from
Selection is corresponding with classification belonging to the current surrounding enviroment in the target image video collection that local image/video is launched
The image and/or video of classification are to send to local use.
20. image/video put-on method as claimed in claim 19, which is characterized in that the target image video collection and institute
Stating deep learning target detection model can be updated, also, in real time, periodically or sporadically shoot described current
Surrounding enviroment are to obtain the image and/or video of the current surrounding enviroment.
21. the image/video put-on method as described in claim 19 or 20, which is characterized in that described image video put-on method
Further include:
After receiving selected image and/or video from remote service center, selected image and/or view are played
Frequently.
22. a kind of image/video processing equipment, comprising:
Processor；And
Memory is stored thereon with executable code, when the executable code is executed by the processor, makes the processing
Device executes the method as described in any one of claim 12~21.
23. a kind of non-transitory machinable medium, is stored thereon with executable code, when the executable code is located
When managing device execution, the processor is made to execute the method as described in any one of claim 12~21.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112788230A (en) * | 2019-11-01 | 2021-05-11 | 佳能株式会社 | Image pickup apparatus, image pickup system, information processing apparatus, control method therefor, and storage medium |
| CN113341920A (en) * | 2021-05-31 | 2021-09-03 | 三一重机有限公司 | Working machine fault early warning method and device, working machine and electronic equipment |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103310721A (en) * | 2012-03-16 | 2013-09-18 | 捷达世软件（深圳）有限公司 | Display device and method for regulating display contents of display device |
| CN104915000A (en) * | 2015-05-27 | 2015-09-16 | 天津科技大学 | Multisensory biological recognition interaction method for naked eye 3D advertisement |
| CN105979210A (en) * | 2016-06-06 | 2016-09-28 | 深圳市深网视界科技有限公司 | Pedestrian identification system based on multi-ball multi-gun camera array |
| CN205665733U (en) * | 2016-04-05 | 2016-10-26 | 陈进民 | Because cell neural network or convolution neural network's user identification system in advertising media input terminal |
| CN106408335A (en) * | 2016-09-05 | 2017-02-15 | 江苏宾奥机器人科技有限公司 | Internet of Things-based mobile robot information push system |
| CN106846066A (en) * | 2017-02-07 | 2017-06-13 | 张帆 | Intelligent advertisement put-on method and system |
| CN106845373A (en) * | 2017-01-04 | 2017-06-13 | 天津大学 | Towards pedestrian's attribute forecast method of monitor video |
| CN107316261A (en) * | 2017-07-10 | 2017-11-03 | 湖北科技学院 | A kind of Evaluation System for Teaching Quality based on human face analysis |
| CN107369086A (en) * | 2017-07-06 | 2017-11-21 | 上海你我贷互联网金融信息服务有限公司 | A kind of identity card stamp system and method |
| CN107832802A (en) * | 2017-11-23 | 2018-03-23 | 北京智芯原动科技有限公司 | Quality of human face image evaluation method and device based on face alignment |
| CN108989888A (en) * | 2018-07-18 | 2018-12-11 | 揭阳市聆讯软件有限公司 | Video content playback method, device, smart machine and storage medium |
-
2019
- 2019-01-15 CN CN201910037052.9A patent/CN109886730A/en active Pending
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103310721A (en) * | 2012-03-16 | 2013-09-18 | 捷达世软件（深圳）有限公司 | Display device and method for regulating display contents of display device |
| CN104915000A (en) * | 2015-05-27 | 2015-09-16 | 天津科技大学 | Multisensory biological recognition interaction method for naked eye 3D advertisement |
| CN205665733U (en) * | 2016-04-05 | 2016-10-26 | 陈进民 | Because cell neural network or convolution neural network's user identification system in advertising media input terminal |
| CN105979210A (en) * | 2016-06-06 | 2016-09-28 | 深圳市深网视界科技有限公司 | Pedestrian identification system based on multi-ball multi-gun camera array |
| CN106408335A (en) * | 2016-09-05 | 2017-02-15 | 江苏宾奥机器人科技有限公司 | Internet of Things-based mobile robot information push system |
| CN106845373A (en) * | 2017-01-04 | 2017-06-13 | 天津大学 | Towards pedestrian's attribute forecast method of monitor video |
| CN106846066A (en) * | 2017-02-07 | 2017-06-13 | 张帆 | Intelligent advertisement put-on method and system |
| CN107369086A (en) * | 2017-07-06 | 2017-11-21 | 上海你我贷互联网金融信息服务有限公司 | A kind of identity card stamp system and method |
| CN107316261A (en) * | 2017-07-10 | 2017-11-03 | 湖北科技学院 | A kind of Evaluation System for Teaching Quality based on human face analysis |
| CN107832802A (en) * | 2017-11-23 | 2018-03-23 | 北京智芯原动科技有限公司 | Quality of human face image evaluation method and device based on face alignment |
| CN108989888A (en) * | 2018-07-18 | 2018-12-11 | 揭阳市聆讯软件有限公司 | Video content playback method, device, smart machine and storage medium |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112788230A (en) * | 2019-11-01 | 2021-05-11 | 佳能株式会社 | Image pickup apparatus, image pickup system, information processing apparatus, control method therefor, and storage medium |
| CN112788230B (en) * | 2019-11-01 | 2023-05-30 | 佳能株式会社 | Image pickup apparatus, image pickup system, information processing apparatus, control method therefor, and storage medium |
| CN113341920A (en) * | 2021-05-31 | 2021-09-03 | 三一重机有限公司 | Working machine fault early warning method and device, working machine and electronic equipment |
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Application publication date: 20190614 |