CN111432127A - Early warning method and device based on camera and storage medium - Google Patents
Early warning method and device based on camera and storage medium Download PDFInfo
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- CN111432127A CN111432127A CN202010286940.7A CN202010286940A CN111432127A CN 111432127 A CN111432127 A CN 111432127A CN 202010286940 A CN202010286940 A CN 202010286940A CN 111432127 A CN111432127 A CN 111432127A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/60—Control of cameras or camera modules
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1097—Protocols in which an application is distributed across nodes in the network for distributed storage of data in networks, e.g. transport arrangements for network file system [NFS], storage area networks [SAN] or network attached storage [NAS]
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/60—Control of cameras or camera modules
- H04N23/61—Control of cameras or camera modules based on recognised objects
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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
Abstract
The invention discloses a camera-based early warning method, camera-based early warning equipment and a storage medium, wherein the camera-based early warning equipment comprises S1: carrying out distribution network on the initialized camera, and binding a user account through a terminal; s2: receiving sensitivity parameters sent by a terminal, and correspondingly adjusting a sensitivity threshold of the camera according to the sensitivity parameters; s3: judging whether the detection picture obtained by the camera in the detection state reaches a sensitivity threshold value in real time, and if so, executing S4; if not, continuing to detect; s4; triggering a camera to capture to obtain a shot image, and uploading the shot image to a cloud platform bound with a user account through a network; s5: and the cloud platform receives the shot image and then sends early warning information to the terminal bound with the user account. According to the invention, when the camera reaches the sensitivity threshold, the snapshot is automatically triggered, so that the delay between the shooting time and the triggering time can be reduced, and the early warning notice is actively sent out after the snapshot, so that a user can timely obtain the current warning condition through the early warning notice.
Description
Technical Field
The invention relates to the field of smart home, in particular to a camera-based early warning method, camera-based early warning equipment and a camera-based early warning storage medium.
Background
At present, smart homes are embodied in an internet-of-things manner under the influence of the internet. The intelligent home connects various devices (such as audio and video devices, lighting systems, curtain control, air conditioner control, security systems, digital cinema systems, audio and video servers, video cabinet systems, network home appliances and the like) in the home together through the Internet of things technology, and provides multiple functions and means such as home appliance control, lighting control, telephone remote control, indoor and outdoor remote control, anti-theft alarm, environment monitoring, heating and ventilation control, infrared forwarding, programmable timing control and the like. Compared with the common home, the intelligent home has the traditional living function, integrates the functions of building, network communication, information household appliance and equipment automation, provides an all-around information interaction function, and even saves funds for various energy expenses.
The security system in the existing smart home generally captures photos through a camera, so that a user can view the captured photos to know the security condition in the current environment. However, the conventional rule that the camera captures the photos is generally that the photos are shot after the security system is triggered, so that a certain delay exists between the shooting time and the triggering time, and the environmental conditions at the triggering time cannot be shot in time; in addition, the existing camera stores the photos in the cloud platform after taking the photos, and if a user wants to check the detected photos at a certain moment, the user needs to actively inquire the photos one by one in a plurality of stored photos, so that the efficiency cannot be improved.
Disclosure of Invention
In order to overcome the defects of the prior art, one of the purposes of the invention is to provide a camera-based early warning method, which can automatically trigger snapshot when the camera reaches a sensitivity threshold, reduce the delay between shooting time and triggering time, and actively send out an early warning notification after the snapshot, so that a user can timely obtain the current alarm condition through the early warning notification, save the time for one-by-one query, and improve the efficiency and the safety.
Another object of the present invention is to provide an electronic device.
It is a further object of the present invention to provide a storage medium.
One of the purposes of the invention is realized by adopting the following technical scheme:
a camera-based early warning method comprises the following steps:
step S1: carrying out distribution network on the initialized camera, and binding a user account through a terminal;
step S2: receiving sensitivity parameters sent by the terminal, and correspondingly adjusting a sensitivity threshold of the camera according to the sensitivity parameters;
step S3: judging whether a detection picture obtained by the camera in a detection state reaches a sensitivity threshold value in real time, and if so, executing step S4; if not, continuing to detect;
step S4; triggering the camera to capture to obtain a shot image, and uploading the shot image to a cloud platform bound with a user account through a network;
step S5: and the cloud platform receives the shot image and then sends early warning information to a terminal bound with a user account, wherein the early warning information comprises one or more combinations of the shot image, a cloud platform address, an early warning short message and a terminal APP link bound with the user account.
Further, the camera initialization in step S1 includes camera parameter resetting, network parameter resetting, SD card formatting, local memory formatting, and binding account resetting.
Further, the method for the camera to enter the detection state comprises the following steps:
receiving a detection starting signal remotely sent by the terminal, and controlling the camera to start to enter a detection state according to the detection starting signal; or the like, or, alternatively,
receiving a timing starting signal sent by the terminal, and automatically controlling the camera to start to enter a detection state within a set time period according to the timing starting signal; or the like, or, alternatively,
receiving a trigger starting signal of a starting key arranged on the camera, and controlling the camera to be started to enter a detection state according to the trigger starting signal.
Further, in the step S3, the detection pictures obtained by the camera in the detection state are stored in the SD card of the camera expansion or the local memory of the camera in a video form in a time-sharing manner, and each stored detection picture is sorted according to the recording time; the SD card of the camera expansion and the local memory of the camera are both connected with the cloud platform, and data stored in the SD card and the local memory of the camera are uploaded to the cloud platform through a network.
Further, in the step S4, the camera records the time of the current snapshot action while taking a snapshot, and synchronously stores the shot image and the corresponding snapshot time record in the SD card extended by the camera or the local memory of the camera; and uploading the shot image and the corresponding snapshot time to the cloud platform through a network.
Furthermore, the SD card of the camera expansion and the local memory of the camera are both provided with a timed deletion function, and the stored content with the most advanced time sequence is automatically deleted after the time limit is over.
Further, after the cloud platform receives the captured image in step S5, the method further includes:
performing definition analysis on the shot image, judging whether the definition of the shot image reaches a set resolution, and if so, pushing the shot image to a terminal; if not, extracting the detection picture of the corresponding time period of the snapshot time, editing the montage corresponding to the snapshot time in the detection picture, and storing the montage in the cloud platform.
Furthermore, the number of the montage pictures is three, and the montage pictures comprise pictures corresponding to the snapshot time and pictures corresponding to the set moments before and after the snapshot time.
The second purpose of the invention is realized by adopting the following technical scheme:
an electronic device comprises a processor, a memory and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the computer program to realize the camera-based early warning method.
The third purpose of the invention is realized by adopting the following technical scheme:
a storage medium having stored thereon a computer program which, when executed, implements the camera-based warning method described above.
Compared with the prior art, the invention has the beneficial effects that:
(1) when the camera reaches the sensitivity threshold, the snapshot is automatically triggered, so that the delay between the shooting time and the triggering time can be reduced, and an early warning notice is actively sent out after the snapshot, so that a user can timely obtain the current warning condition through the early warning notice, and the time for inquiring one by one is saved;
(2) the shot image obtained by capturing the camera is stored in the cloud platform, so that the storage safety is improved.
Drawings
Fig. 1 is a schematic flow chart of the camera-based warning method of the present invention.
Detailed Description
The present invention will be further described with reference to the accompanying drawings and the detailed description, and it should be noted that any combination of the embodiments or technical features described below can be used to form a new embodiment without conflict.
Example one
An early warning method based on a camera is applied to an intelligent home with camera monitoring.
Referring to fig. 1, the early warning method includes the following steps:
step S1: initializing the camera, distributing the network to the initialized camera, and binding the user account through the terminal.
The initialization setting of the camera includes but is not limited to camera parameter resetting, network parameter resetting, SD card formatting, local memory formatting, binding account number resetting and the like, and after the camera is initialized, all parameters are restored to default states.
The camera parameters comprise a sensitivity threshold, an aperture size, a shutter speed, a pixel value and the like, the overall quality of a shooting picture can be adjusted through the camera parameters, and the camera parameters can be reset according to actual shooting requirements.
And then, the initialized camera distribution network is required to be activated in a networking manner, and a user account logs in a terminal APP to enable the camera and the user account to be bound and associated, wherein the user account is a personal account of the intelligent home security system, so that a user can log in the user account through the terminal to set and check various parameter settings of the camera and picture contents obtained by shooting.
Step S2: receiving sensitivity parameters sent by the terminal, and correspondingly adjusting a sensitivity threshold of the camera according to the sensitivity parameters;
the user sets up the sensitivity threshold value in the camera parameter setting interface through terminal APP, the sensitivity threshold value that the user entered can be write in automatically to the camera after the update, and the sensitivity threshold value is a perception degree to the object or the light of motion change in the removal is listened, is one of them important trigger condition that the camera triggered the snapshot.
Step S3: judging whether a detection picture obtained by the camera in a detection state reaches a sensitivity threshold value in real time, and if so, executing step S4; if not, the detection is continued.
The method for the camera to enter the detection state comprises the following three conditions:
the method comprises the steps of judging whether a detection starting signal sent by a terminal through a network is received or not, and enabling a user to press a digital detection starting key on a terminal APP, wherein the detection starting signal can be generated correspondingly; and the camera automatically controls the camera to be started to enter a detection state after receiving the detection starting signal.
And judging whether a timing starting signal sent by the terminal is received or not, wherein a user can set the timing starting time of the camera on the terminal APP, and after the timing starting time is set, a corresponding timing starting signal can be generated, and the camera automatically controls the camera to start and enter a detection state within a set time period according to the timing starting signal.
Judging whether a trigger starting signal of a starting key arranged on the camera is received, and manually pressing an entity detection starting key on the camera by a user so as to generate a trigger starting signal, wherein the camera controls the camera to start to enter a detection state after receiving the trigger starting signal.
The user can set the detection state of the camera by using one of the three methods.
After the camera enters a detection state, shooting a detection picture according to preset camera parameters, and calculating a real-time sensitivity value corresponding to the detection picture in real time; if the camera shoots that a moving object moves, when the sensitivity value corresponding to the object in the detected picture obtained by calculation reaches a preset sensitivity threshold value, the camera is triggered to shoot immediately, and shot images obtained by shooting are stored in a SD card expanded by the camera with a preset storage position or a local memory of the camera.
The camera calculates the sensitivity value in the picture in real time, and triggers the camera to take a snapshot immediately when the sensitivity value reaches a threshold value, so that the time from detection to triggering to shooting can be shortened, the time delay is reduced, and the shot picture at the triggering moment can be obtained in time.
In this embodiment, the camera, while detecting, stores the detection picture in the form of video in the SD card of the camera expansion or the local memory of the camera, where the storage location may be set in advance through the terminal APP. And the detection pictures are stored in a time-sharing mode, the length of the storage time period can also be set in advance through a terminal APP, if the storage time period is set to one hour, the detection pictures recorded in one day are cut according to the time length of each hour, the time length of the cut detection pictures is only one hour, and the storage modes of the cut detection pictures are sorted according to the 24-hour sequence.
The SD card expanded by the camera and the local memory of the camera are provided with a timed deletion function, a plurality of storage contents with the most advanced time sequence can be automatically deleted after the time limit period is finished, and the time limit period can be set in advance through a terminal APP and can be set by combining the memory capacity of the camera; for example, if the time limit is set to half a month, a predetermined number of stored contents whose storage time is earlier than half a month can be automatically deleted after half a month, thereby avoiding the shortage of the memory capacity of the camera.
The SD card of the camera expansion and the local memory of the camera are connected with the cloud platform through a network, and the SD card and the local memory of the camera can completely upload stored data such as shot images and detected pictures to the cloud platform through the network for frequent secondary storage, so that data loss is avoided, and safety is improved.
Step S4; and triggering the camera to take a snapshot so as to obtain a shot image, and uploading the shot image to a cloud platform bound with the user account through a network.
The camera records the time of the current snapshot action while taking a snapshot, synchronously stores the shot images and the corresponding snapshot time records in an SD card expanded by the camera or a local memory of the camera, and uploads the shot images and the corresponding snapshot time to the cloud platform for storage through a network.
Step S5: and the cloud platform automatically generates an early warning signal after receiving the shot image, and automatically sends early warning information to the terminal bound with the user account according to the early warning signal.
The cloud platform acquires user information through a pre-bound user account, wherein the user information includes but is not limited to information such as a terminal ID bound with the user account, a bound user mobile phone number, a user name and the like. The cloud platform sends early warning information according to the acquired user information, wherein the early warning information comprises one or more combinations of the shot image, a cloud platform address, an early warning short message and a terminal APP link bound with a user account. The content type of the early warning information can be set in advance through the terminal APP, the conventional setting of the early warning information is the early warning short message and the shooting image, the early warning short message is edited in the terminal APP in advance, and when the user receives the early warning information, the user can directly read characters and the shooting image, so that the user can know the alarm condition in time. Meanwhile, cloud platform addresses, APP links, picture links and the like can be added into the early warning information, so that the user can enter the position where the shot image is stored in one key, the number of times of clicking and looking up of the user on the terminal for checking the warning information is reduced, and therefore efficiency is improved. In addition, the user clicks can let the terminal lug connection cloud platform or directly get into terminal APP after cloud platform's address or terminal APP links, look over from cloud platform or terminal APP the history and the real-time condition of shooing of camera to learn the most comprehensive information of reporting an emergency and asking for help or increased vigilance.
Because the capturing speed is high, the captured image obtained after the capturing is successful may have an unclear condition, so that the cloud platform can analyze the definition of the captured image after receiving the captured image, judge whether the definition of the captured image reaches a set resolution, and directly push the captured image to a terminal for displaying if the definition of the captured image reaches the set resolution; if not, extracting the detection picture of the time period corresponding to the snapshot time from the storage space of the cloud platform or the camera, editing the montage corresponding to the snapshot time in the detection picture, and uploading the montage to the cloud platform for storage.
The number of the clipped frames may be three, including the frame corresponding to the capturing time and the frames corresponding to the set moments before and after the capturing time, for example, one frame at the capturing time point in the detection frame is clipped, and frames at the second before and the second after the capturing time. When the early warning information is sent to the terminal, the plurality of clip pictures and the captured image obtained by snapshot are sent to the terminal for viewing so as to ensure that the image transmitted to the terminal for display is clear; or the pictures obtained by clipping can be compared in definition, and the picture with the highest resolution is preferentially pushed to the terminal, so that the data transmission difficulty is reduced.
In addition, the cloud platform can also acquire the real-time network state of the camera, when the fact that the camera is disconnected is known, the camera automatically tries network reconnection, if the number of times of trying reconnection exceeds the set number, a network disconnection reconnection prompt is sent to the terminal, a user is allowed to confirm the network condition of the camera, the network disconnection period is still detected in real time, detected data are stored in a local memory, and after the network of the camera is connected, the detected data in the network disconnection period are uploaded to the cloud platform again in time, data loss is avoided, and transmission stability is improved.
Example two
The embodiment provides an electronic device, which comprises a processor, a memory and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the computer program to realize the camera-based early warning method in the first embodiment; in addition, the present embodiment also provides a storage medium, on which a computer program is stored, and when the computer program is executed, the camera-based warning method is implemented.
The apparatus and the storage medium in this embodiment are based on two aspects of the same inventive concept, and the method implementation process has been described in detail in the foregoing, so that those skilled in the art can clearly understand the structure and implementation process of the system in this embodiment according to the foregoing description, and for the sake of brevity of the description, details are not repeated here.
The above embodiments are only preferred embodiments of the present invention, and the protection scope of the present invention is not limited thereby, and any insubstantial changes and substitutions made by those skilled in the art based on the present invention are within the protection scope of the present invention.
Claims (10)
1. A camera-based early warning method is characterized by comprising the following steps:
step S1: carrying out distribution network on the initialized camera, and binding a user account through a terminal;
step S2: receiving sensitivity parameters sent by the terminal, and correspondingly adjusting a sensitivity threshold of the camera according to the sensitivity parameters;
step S3: judging whether a detection picture obtained by the camera in a detection state reaches a sensitivity threshold value in real time, and if so, executing step S4; if not, continuing to detect;
step S4; triggering the camera to capture to obtain a shot image, and uploading the shot image to a cloud platform bound with a user account through a network;
step S5: and the cloud platform receives the shot image and then sends early warning information to a terminal bound with a user account, wherein the early warning information comprises one or more combinations of the shot image, a cloud platform address, an early warning short message and a terminal APP link bound with the user account.
2. The camera-based warning method according to claim 1, wherein the camera initialization in step S1 includes camera parameter reset, network parameter reset, SD card formatting, local memory formatting, and bound account number reset.
3. The camera-based warning method according to claim 1, wherein the method for the camera to enter the detection state comprises:
receiving a detection starting signal remotely sent by the terminal, and controlling the camera to start to enter a detection state according to the detection starting signal; or the like, or, alternatively,
receiving a timing starting signal sent by the terminal, and automatically controlling the camera to start to enter a detection state within a set time period according to the timing starting signal; or the like, or, alternatively,
receiving a trigger starting signal of a starting key arranged on the camera, and controlling the camera to be started to enter a detection state according to the trigger starting signal.
4. The camera-based early warning method according to claim 1, wherein in step S3, the detection pictures obtained by the camera in the detection state are stored in the SD card of the camera expansion or the local memory of the camera in a video form in a time-sharing manner, and each stored detection picture is sorted according to the recording time; the SD card of the camera expansion and the local memory of the camera are both connected with the cloud platform, and data stored in the SD card and the local memory of the camera are uploaded to the cloud platform through a network.
5. The camera-based early warning method according to claim 4, wherein in step S4, the camera records the time of the current snapshot action while taking a snapshot, and synchronously stores the shot image and the corresponding snapshot time record in the SD card extended by the camera or the local memory of the camera; and uploading the shot image and the corresponding snapshot time to the cloud platform through a network.
6. The camera-based early warning method according to claim 5, wherein the SD card of the camera expansion and the local memory of the camera are both provided with a timed deletion function, and the stored content with the most advanced time sequence is automatically deleted after the time limit is over.
7. The camera-based warning method according to claim 6, wherein after the cloud platform receives the captured image in step S5, the method further comprises:
performing definition analysis on the shot image, judging whether the definition of the shot image reaches a set resolution, and if so, pushing the shot image to a terminal; if not, extracting the detection picture of the corresponding time period of the snapshot time, editing the montage corresponding to the snapshot time in the detection picture, and storing the montage in the cloud platform.
8. The camera-based warning method according to claim 7, wherein the number of the montage is three, and the montage includes a picture corresponding to the capturing time and pictures corresponding to the set time before and after the capturing time.
9. An electronic device, comprising a processor, a memory, and a computer program stored in the memory and executable on the processor, wherein the processor implements the camera-based warning method according to any one of claims 1 to 8 when executing the computer program.
10. A storage medium having stored thereon a computer program which, when executed, implements the camera-based warning method of any one of claims 1 to 8.
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