CN112291517A - Camera data storage method and device - Google Patents
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- 238000013500 data storage Methods 0.000 title claims description 3
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
- H04N7/181—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L12/00—Data switching networks
- H04L12/28—Data switching networks characterised by path configuration, e.g. LAN [Local Area Networks] or WAN [Wide Area Networks]
- H04L12/2803—Home automation networks
- H04L12/2816—Controlling appliance services of a home automation network by calling their functionalities
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/76—Television signal recording
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Abstract
The invention provides a method and a device for storing camera data, wherein the method comprises the following steps: receiving the character information acquired by the first camera at the first time; receiving video data collected by a second camera after the first time; the person information is analyzed, the video data are stored in a cloud or a local mode according to the analysis result, and the technical problems that in the prior art, all data collected by a camera are stored in a local storage or a public cloud, so that the user privacy safety is poor and the cost is high are solved.
Description
Technical Field
The application belongs to the field of Internet of things and relates to a storage method and device for camera data.
Background
At present, scenes that an intelligent home system accesses a network camera are more and more common, and the existing camera content is mainly displayed and stored in two modes, wherein one mode is stored in a private memory (such as a self-built server, a private cloud and the like); one is storage in the public cloud.
When the private memory is used for storing, a user can only check the video information through the local area network, and the user cannot check the video information at home when going out; the public cloud enables users to see the video data in the house at any time in places with networks, but the existing security technology cannot completely guarantee that the private videos are not revealed.
It should be noted that, both private storage and cloud storage cannot completely meet the requirements of users, and all data acquired by a camera in the prior art are stored in a local storage or a public cloud, which results in the problems of poor privacy security and high cost of users.
Disclosure of Invention
The invention provides a storage method and a storage device for camera data.
According to a first aspect of the present invention, there is provided a method for storing camera data, the method comprising: receiving the character information acquired by the first camera at the first time; receiving video data acquired by a second camera after the first time; and analyzing the human information, and performing cloud storage or local storage on the video data according to the analysis result.
Further, cloud storage or local storage of the video data according to the analysis result includes: identifying the person information under the condition that the person information is the face information; under the condition that the face information is recognized to be a pre-stored face, locally storing the video data; and under the condition that the face information is not the pre-stored face, carrying out cloud storage on the video data.
Further, cloud storage or local storage of the video data according to the analysis result includes: analyzing whether the figure information has a preset event or not under the condition that the figure information is not the face information; and under the condition that the preset event occurs to the character information, cloud storage is carried out on the video data.
Further, in the case that the preset event occurs to the personal information, cloud storing the video data includes: analyzing the number of persons with preset events in the person information; and under the condition that the number of the people meets the preset condition, carrying out cloud storage on the video data.
Further, in a case where the video is cloud-stored, the method includes: receiving a video viewing request sent by terminal equipment; and sending a viewing authority to the terminal equipment according to the video viewing request, wherein the viewing authority is used for accessing the video data.
According to a second aspect of the present invention, there is provided an apparatus for storing data of a camera, the apparatus comprising: the first receiving unit is used for receiving the character information acquired by the first camera at the first time; the second receiving unit is used for receiving video data acquired by the second camera after the first time; and the analysis unit is used for analyzing the character information and carrying out cloud storage or local storage on the video data according to the analysis result.
Further, the analysis unit includes: the identification module is used for identifying the human face information under the condition that the human face information is the human face information; the first storage module is used for locally storing the video data under the condition that the face information is recognized to be a pre-stored face; and the second storage module is used for carrying out cloud storage on the video data under the condition that the face information is not a pre-stored face.
Further, the analysis unit includes: the analysis module is used for analyzing whether the personal information has a preset event or not under the condition that the personal information is not the face information; and the third storage module is used for carrying out cloud storage on the video data under the condition that the preset event occurs to the character information.
Further, the third storage module includes: the sub-analysis module is used for analyzing the number of people with preset events in the person information; and the sub-storage module is used for carrying out cloud storage on the video data under the condition that the number of the people meets the preset condition.
Further, the apparatus comprises: the third receiving unit is used for receiving a video viewing request sent by the terminal equipment; and the sending unit is used for sending the viewing permission to the terminal equipment according to the video viewing request, wherein the viewing permission is used for accessing the video data.
The invention provides a method and a device for storing camera data, wherein the method comprises the following steps: receiving the character information acquired by the first camera at the first time; receiving video data acquired by a second camera after the first time; the human information is analyzed, the video data are stored in the cloud or the local according to the analysis result, and the technical problems that in the prior art, all data collected by a camera are stored in a local memory or a public cloud, so that the privacy safety of a user is poor and the cost is high are solved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a flowchart of a method for storing camera data according to a first embodiment of the present invention;
fig. 2 is a flowchart of an alternative method for storing camera data according to a first embodiment of the present invention;
fig. 3 is a flowchart of an alternative method for storing camera data according to a first embodiment of the present invention;
fig. 4 is a flowchart of an alternative method for storing camera data according to a first embodiment of the present invention; and
fig. 5 is a schematic diagram of a storage device for camera data according to a second embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the technical solutions of the present application will be described in detail below. It is to be understood that the embodiments described are only a few embodiments of the present application and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the examples given herein without making any creative effort, shall fall within the protection scope of the present application.
Example one
As shown in fig. 1, the present scheme provides a method for storing camera data, including:
in step S08, the personal information captured by the first camera at the first time is received.
And step S09, receiving video data collected by the second camera after the first time.
And step S10, analyzing the human information, and performing cloud storage or local storage on the video data according to the analysis result.
Specifically, in this scheme, the first camera may be a camera in a home-to-home face recognition system, the second camera may be a home network camera, a central control system (e.g., a private switch, a gateway, etc.) of the smart home may be used to receive the character information acquired by the first camera at the first time and the video data acquired by the second camera after the first time, and perform analysis according to the character information, and determine to perform cloud storage or local storage on the video data acquired after the first time according to an analysis result.
It should be further noted that the first camera and the second camera may also be the same camera, that is, both the cameras for performing face recognition and video acquisition may be completed by a home-to-home face recognition system.
According to the scheme, different storage modes (cloud storage or local storage) of the video data can be determined under different scenes according to the analysis result of the figure information recognized by the family-in face recognition system, namely, compared with the prior art, the scheme selects the mode of cloud storage or local storage of the video information according to the figure information recognized by the family-in face recognition system, namely, the mode of combining the cloud storage and the local storage, and the technical problems that in the prior art, all data collected by a camera is stored in a local storage or a public cloud, so that the user privacy safety is poor and the cost is high are solved.
Optionally, the step S10, performing cloud storage or local storage on the video data according to the analysis result includes:
in step S101, if the personal information is face information, the face information is recognized.
And S102, locally storing the video data under the condition that the face information is recognized to be a pre-stored face.
And step S103, carrying out cloud storage on the video data under the condition that the face information is not the pre-stored face.
Specifically, if the face information is a prestored face, the home-entry face recognition system recognizes that the user has come home, and under the condition that the user has come home, the home-entry face recognition system sends the recognition structure to the central control system, the central control system controls to locally store the video data, and if the home-entry face recognition system does not recognize the prestored face, the central control system controls to cloud store the video data.
With reference to fig. 2, an alternative embodiment of the reception scheme is as follows:
s11: the family-in face recognition system collects face data entering a family in real time, and executes S12 after the face data are collected;
s12: the face recognition system is connected with an intelligent household central control system (such as a private switch, a gateway and the like). The face recognition system compares and analyzes the face data of the current user with the system database, and informs the central control system of the recognition result, the recognition result can recognize whether the user or the designated object of the user returns to the home, if the user (the user himself or the designated object of the user) returns to the home, S14 is executed; otherwise, S13 is executed.
S13: when it is detected that the user or a designated object thereof does not enter the home, the central control system sets an execution condition 2, and in this specification, the execution condition 2 is to perform cloud storage on the video data.
S14: when it is detected that the user himself or a designated object thereof enters the home, the central control system sets an execution condition 1, and in this case, the execution condition 1 is to store video data locally (private storage).
Optionally, the cloud storage or local storage of the video data according to the analysis result in step S10 may include:
and step S104, analyzing whether the personal information has a preset event or not under the condition that the personal information is not the human face information.
And step S105, carrying out cloud storage on the video data under the condition that the preset event occurs in the character information.
Specifically, in the scheme, the family-in face recognition system can analyze whether a user has a preset event according to the figure information, the preset event can be that the user leaves home, the central control system controls the video data to be stored in the cloud under the condition that the user leaves home, and the video data is stored locally under the condition that the user does not leave home.
Optionally, in the step S105, in the case that the preset event occurs in the personal information, cloud storage of the video data may include:
in step S1051, the number of persons having a predetermined event in the personal information is analyzed.
And step 1052, performing cloud storage on the video data under the condition that the number of the people meets the preset condition.
Specifically, in the scheme, whether the number of people leaving home reaches a preset number can be judged, namely, the family-in face recognition system judges whether all family members leave home, the video data are stored in the cloud under the condition that all family members leave home, and the video data are stored locally under the condition that all family members do not leave home.
An alternative embodiment of the present solution is described below with reference to fig. 3:
in step S15, the family entry face recognition system recognizes the personal information.
In step S16, the family-to-family face recognition system determines whether the user or the designated object leaves the home according to whether the preset event occurs in the personal information, and if the user does not leave the home, performs condition 1, that is, stores the video locally.
Step S17, the family-in face recognition system determines whether the designated objects of the latter user are all away from home according to the character information, if so, then condition 2 is executed to perform cloud storage on the video, and if not, then condition 1 is executed to perform local storage on the video.
Optionally, in a case that the video is stored in a cloud, the method includes: receiving a video viewing request sent by terminal equipment; and sending a viewing authority to the terminal equipment according to the video viewing request, wherein the viewing authority is used for accessing the video data.
Specifically, under the condition that the video cloud is stored, it is indicated that no one is in the home, therefore, the user can send a viewing request to the central control system through the mobile terminal, the central control system can send a viewing permission to the terminal device, and the user mobile terminal can access the video data according to the viewing permission.
An alternative embodiment of the present solution is described below with reference to fig. 4:
s21: the camera collects real-time data, the camera works all the time to collect video data in real time, the camera is connected with the central control system, the camera is responsible for collecting the video data, and the central control system is responsible for transmitting and storing the video data.
S22: the central control system judges whether a person is in the user or the designated object. If not, go to S23; if yes, go to S24.
S23: when the system detects that the user or the designated object of the user leaves home, the data collected by the camera in real time is transmitted to the central control system, the central control system stores the real-time video data in a public cloud storage mode, and allows an application (such as an App) to remotely obtain the video data in real time.
S24: the central control system detects that a user or a designated object of the user returns home, and after data collected by the camera in real time is transmitted to the central control system, the central control system selects a private memory to store video data. In this state, when the request of the video data is remotely acquired, the central control system does not respond, namely the camera real-time data is not allowed to be remotely acquired.
S25: the data of the camera in real time is stored in the private memory, and for the authority management of the private memory, the central control system only has the writing authority and does not have the reading authority, so that the data which is written in and is privately accessed cannot be obtained through the control system.
In summary, in view of the defects in the prior art, the present invention provides a method for storing a private memory and a public cloud in a coexistence manner, where video data is stored in the private memory or the public cloud according to a scene that a user is at home or away from home, so as to satisfy that the video data of the user does not flow out when the user is at home, and the user can view the video data at home remotely when the user is away from home, and specifically, the present invention determines whether the user or an object designated by the user returns to home or leaves home by using a face recognition technology; if one of the user or the designated object is at home, the data of the camera is stored in the private memory; if all the camera data leave, the camera data are stored in the public cloud, and the camera real-time video data are allowed to be remotely acquired. It should be noted that the access to the data in the private memory can only be performed locally. In the scheme, after the user or the designated object returns home, the camera data can not be stored remotely, and the camera data can be stored into the private memory at the moment. The method prevents the camera data of the user or the designated object from flowing out at home, and after the user or the designated object returns home, the data of the network camera added into the intelligent home system is stored in the designated private memory, and the data of the camera cannot be acquired through the network. Video data outflow of a user or a designated object thereof at home is prevented.
Example two
As shown in fig. 5, the present invention provides a storage device for camera data, where the device may be used to execute a method according to an embodiment, and may also be disposed in the central control system, and specifically includes: the first receiving unit 50 is used for receiving the personal information acquired by the first camera at the first time; a second receiving unit 52, configured to receive video data acquired by the second camera after the first time; and an analysis unit 54 for analyzing the human information and performing cloud storage or local storage on the video data according to the analysis result.
Specifically, through each unit in the device, different storage modes (cloud storage or local storage) can be determined for video data under different scenes according to the analysis result of the identified person information, that is, compared with the prior art, the method selects to perform cloud storage or local storage on the video information according to the person information identified by the family-entry face identification system, that is, a mode of combining cloud storage and local storage is adopted, and the technical problems that in the prior art, all data collected by a camera is stored in a local storage or a public cloud, so that the user privacy safety is poor and the cost is high are solved.
Optionally, the analysis unit comprises: the identification module is used for identifying the human face information under the condition that the human face information is the human face information; the first storage module is used for locally storing the video data under the condition that the face information is recognized to be a pre-stored face; and the second storage module is used for carrying out cloud storage on the video data under the condition that the face information is not a pre-stored face.
Optionally, the analysis unit includes: the analysis module is used for analyzing whether the personal information has a preset event or not under the condition that the personal information is not the face information; and the third storage module is used for carrying out cloud storage on the video data under the condition that the preset event occurs to the character information.
Optionally, the third storage module includes: the sub-analysis module is used for analyzing the number of people with preset events in the person information; and the sub-storage module is used for carrying out cloud storage on the video data under the condition that the number of the people meets the preset condition.
Optionally, the apparatus comprises: the third receiving unit is used for receiving a video viewing request sent by the terminal equipment; and the sending unit is used for sending the viewing permission to the terminal equipment according to the video viewing request, wherein the viewing permission is used for accessing the video data.
It is understood that the same or similar parts in the above embodiments may be mutually referred to, and the same or similar parts in other embodiments may be referred to for the content which is not described in detail in some embodiments.
It should be noted that, in the description of the present application, the terms "first", "second", etc. are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. In addition, in the description of the present application, the meaning of "plurality" means at least two unless otherwise specified.
It will be understood that when an element is referred to as being "secured to" or "disposed on" another element, it can be directly on the other element or intervening elements may also be present; when an element is referred to as being "connected" to another element, it can be directly connected to the other element or intervening elements may also be present, and further, as used herein, connected may include wirelessly connected; the term "and/or" is used to include any and all combinations of one or more of the associated listed items.
Any process or method descriptions in flow charts or otherwise described herein may be understood as: represents modules, segments or portions of code which include one or more executable instructions for implementing specific logical functions or steps of a process, and the scope of the preferred embodiments of the present application includes other implementations in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the embodiments of the present application.
It should be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present application may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc.
In the description herein, reference to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the application. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
Although embodiments of the present application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present application, and that variations, modifications, substitutions and alterations may be made to the above embodiments by those of ordinary skill in the art within the scope of the present application.
Claims (10)
1. A method for storing camera data is characterized by comprising the following steps:
receiving the character information acquired by the first camera at the first time;
receiving video data collected by a second camera after the first time;
and analyzing the character information, and performing cloud storage or local storage on the video data according to the analysis result.
2. The method of claim 1, wherein the cloud storage or local storage of the video data according to the analysis result comprises:
under the condition that the figure information is face information, identifying the face information;
under the condition that the face information is recognized to be a pre-stored face, locally storing the video data;
and under the condition that the face information is not a pre-stored face, cloud storage is carried out on the video data.
3. The method of claim 1, wherein the cloud storage or local storage of the video data according to the analysis result comprises:
analyzing whether a preset event occurs in the personal information or not under the condition that the personal information is not the face information;
and under the condition that the preset event occurs to the character information, cloud storage is carried out on the video data.
4. The method of claim 3, wherein the cloud storing the video data in case of the preset event of the personal information comprises:
analyzing the number of people of the preset event in the person information;
and under the condition that the number of the people meets a preset condition, carrying out cloud storage on the video data.
5. The method according to claim 1, wherein in a case where the video is cloud-stored, the method comprises:
receiving a video viewing request sent by terminal equipment;
and sending a viewing permission to the terminal equipment according to the video viewing request, wherein the viewing permission is used for accessing the video data.
6. A camera data storage device, comprising:
the first receiving unit is used for receiving the character information acquired by the first camera at the first time;
the second receiving unit is used for receiving video data acquired by the second camera after the first time;
and the analysis unit is used for analyzing the character information and carrying out cloud storage or local storage on the video data according to the analysis result.
7. The apparatus of claim 6, wherein the analysis unit comprises:
the identification module is used for identifying the human face information under the condition that the person information is the human face information;
the first storage module is used for locally storing the video data under the condition that the face information is identified to be a pre-stored face;
and the second storage module is used for carrying out cloud storage on the video data under the condition that the face information is not a pre-stored face.
8. The apparatus of claim 6, wherein the analysis unit comprises:
the analysis module is used for analyzing whether the personal information has a preset event or not under the condition that the personal information is not the face information;
and the third storage module is used for carrying out cloud storage on the video data under the condition that the preset event occurs in the character information.
9. The apparatus of claim 8, wherein the third storage module comprises:
the sub-analysis module is used for analyzing the number of people with the preset events in the person information;
and the sub-storage module is used for carrying out cloud storage on the video data under the condition that the number of the people meets the preset condition.
10. The apparatus of claim 6, wherein the apparatus comprises:
the third receiving unit is used for receiving a video viewing request sent by the terminal equipment;
and the sending unit is used for sending a viewing permission to the terminal equipment according to the video viewing request, wherein the viewing permission is used for accessing the video data.
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| CN202011104575.XA CN112291517A (en) | 2020-10-15 | 2020-10-15 | Camera data storage method and device |
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| CN202011104575.XA CN112291517A (en) | 2020-10-15 | 2020-10-15 | Camera data storage method and device |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113111047A (en) * | 2021-03-18 | 2021-07-13 | 上海宜员网络技术有限公司 | Data processing method and device and electronic equipment |
| CN114125806A (en) * | 2021-09-24 | 2022-03-01 | 浙江大学 | Wireless camera detection method based on cloud storage mode of wireless network flow |
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