CN105049810A - Intelligent video monitoring method and video device - Google Patents
Intelligent video monitoring method and video device Download PDFInfo
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- CN105049810A CN105049810A CN201510478442.1A CN201510478442A CN105049810A CN 105049810 A CN105049810 A CN 105049810A CN 201510478442 A CN201510478442 A CN 201510478442A CN 105049810 A CN105049810 A CN 105049810A
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Abstract
This invention discloses an intelligent video monitoring video method and a video device. The method includes the following steps: collecting images of an object by a collection module of the video device at preset intervals; if a pixel difference between a current collected image and a previous collected image exceeds a preset threshold, then starting video shooting. In other words, if the pixel difference of two images collected by the video device is small, the collection module will be turned off by the video device timely, and thus the memory space is saved to avoid resource waste of the video device.
Description
Technical field
The application relates to electronic technology field, particularly relates to a kind of method and video equipment of video brainpower watch and control.
Background technology
Along with electronic technology development, current, more and more extensively, partial video equipment will be accomplished to monitor for 24 hours, and what such video equipment will continue carries out IMAQ, and is got off by the Image Saving collected for monitoring and security device application.
But generally, the image major part that video equipment photographs is all identical, so this just makes the waste of storage space of video equipment, and also make the live load of video equipment larger.
Summary of the invention
Embodiments provide a kind of method and video equipment of video brainpower watch and control, in order to solve the waste of storage space that in prior art, video equipment exists, and the problem that the live load of video equipment is larger.
Its concrete technical scheme is as follows:
A method for video brainpower watch and control, the acquisition module of video equipment gathers image with the time interval of presetting to reference object, if the pixel value difference between the image of current collection and a upper image gathered exceedes predetermined threshold value, then starts video capture.
Optionally, described method also comprises:
After startup video capture, detect that the pixel value difference between the current image that collects and a upper image gathered does not exceed predetermined threshold value, then stop taking.
Optionally, after startup video capture, also comprise:
Whether the residual memory space detected in memory space is less than threshold value;
If so, then the video in memory space is sent to cloud server to store.
Optionally, after the video in memory space being sent to cloud server and storing, also comprise:
Delete the video file in the memory space of self.
Optionally, after startup video capture, also comprise:
Detect current collection image and on pixel value difference between an image exceed warning value time, then generate and outputting alarm signal.
A kind of video equipment, comprising:
Acquisition module, for gathering image according to the time interval of presetting to reference object;
Processor, is connected with described acquisition module, exceedes predetermined threshold value for the pixel value difference between the image of current collection and a upper image gathered, then start acquisition module shooting.
Optionally, described processor, also for detecting that the pixel value difference between the current image that collects and a upper image gathered does not exceed predetermined threshold value, then stops acquisition module shooting.
Optionally, whether described processor, be less than threshold value specifically for the residual memory space detected in memory space; If so, then the video in memory space is sent to cloud server to store.
Optionally, described processor, also for deleting the video file in self memory space.
Optionally, described processor, also for detect current collection image and on pixel value difference between an image exceed warning value time, then generate and outputting alarm signal.
Embodiments provide a kind of method of video brainpower watch and control, the method comprises: the acquisition module of video equipment gathers image with the time interval of presetting to reference object, if the pixel value difference between the image of current collection and a upper image gathered exceedes predetermined threshold value, then start video capture.That is, video equipment gather pixel difference between two images less time, video equipment will cut out acquisition module timely, so not only can save memory space, then avoid the wasting of resources of video equipment.
Accompanying drawing explanation
Fig. 1 is the flow chart of the method for a kind of video brainpower watch and control in the embodiment of the present invention;
Fig. 2 is the structural representation of a kind of video equipment in the embodiment of the present invention.
Embodiment
Embodiments provide a kind of method of video brainpower watch and control, the method comprises: the acquisition module of video equipment gathers image with the time interval of presetting to reference object, if the pixel value difference between the image of current collection and a upper image gathered exceedes predetermined threshold value, then start video capture.That is, video equipment gather pixel difference between two images less time, video equipment will cut out acquisition module timely, so not only can save memory space, then avoid the wasting of resources of video equipment.
Below by accompanying drawing and specific embodiment, technical solution of the present invention is described, be to be understood that, the explanation of concrete technical characteristic in the embodiment of the present invention and embodiment just to technical solution of the present invention, instead of limit, the situation of not conflicting, the concrete technical characteristic in the embodiment of the present invention and embodiment can combine mutually.
Be illustrated in figure 1 a kind of flow chart controlling the method for IMAQ in the embodiment of the present invention, the method comprises:
S101, the acquisition module of video equipment gathers image with the time interval of presetting to reference object;
S102, video equipment judges whether the pixel value difference between the image of current collection and a upper image exceedes predetermined threshold value; If exceed, then perform S103; If do not exceed, then perform S104;
S103, starts video capture;
S104, closes video capture.
First, this video equipment can be video monitoring equipment etc.
In embodiments of the present invention, video equipment can gather figure according to the time interval of presetting.Such as 1 second, interval or 5 second beats take the photograph an image, video equipment gathers image according to this time interval continuous print.
After this video equipment continuous print collects two images, video equipment can judge whether the pixel value difference between the image of current collection and a upper image exceedes predetermined threshold value.
If the pixel value difference between the image of current collection and a upper image is greater than predetermined threshold value, then illustrate to there is significantly change between two images, now video equipment will open the acquisition module of self, then by collection image that acquisition module continues.When the object of such guarantee video equipment shooting exists significant change, the image of change can photograph by video equipment timely.
Certainly, if the pixel value difference between the image of current collection and a upper image is less than predetermined threshold value, then illustrate between two images basically identical, now video equipment will cut out the acquisition module of self, video equipment continuous print is avoided to take identical object like this, so not only can reduce the loss of video equipment, and also save the memory space of video equipment.
Further, in embodiments of the present invention, this video equipment is in the process gathering image, whether the residual memory space that video equipment also can detect in self memory space is less than threshold value, if, then the video in the memory space of self can be sent to cloud server and store by this video equipment, such as, the memory space of video equipment self only has 1G, if when the video of video equipment shooting has had a 900M, then remaining space only has 100M, now the video file of 900M can be sent to cloud server by video equipment, cloud server is allowed to store.
Certainly, after the video file in self memory space is sent to cloud server by video equipment, the video file that video equipment will be deleted in self memory space, thus make video equipment can the video that photographs of storage at any time.
Further, in embodiments of the present invention, video equipment is in the process of photographic images, if when video equipment detects that the pixel value difference between the image of current collection and a upper image exceedes warning value, then generation is exported an alarm signal by video equipment, that is when continuous print two image differences are very large, video equipment is directly by loud speaker outputting alarm information, or warning information is sent to the terminal of specifying, know the alarm of video equipment with the user enabling terminal corresponding, the fail safe of video equipment can be improved like this.
The method of a kind of video brainpower watch and control provided in the corresponding embodiment of the present invention, additionally provide a kind of video equipment in the embodiment of the present invention, be illustrated in figure 2 the structural representation of a kind of video equipment in the embodiment of the present invention, this video equipment comprises:
Acquisition module 201, for gathering image according to the time interval of presetting to reference object;
Processor 202, is connected with described acquisition module 201, exceedes predetermined threshold value for the pixel value difference between the image of current collection and a upper image gathered, then start acquisition module 201 and take.
Optionally, in embodiments of the present invention, processor 202, also for detecting that the pixel value difference between the current image that collects and a upper image gathered does not exceed predetermined threshold value, then stops acquisition module 401 to take.
Optionally, in embodiments of the present invention, whether processor 202, be less than threshold value specifically for the residual memory space detected in memory space; If so, then the video in memory space is sent to cloud server to store.
Optionally, in embodiments of the present invention, processor 202, also for also for deleting the video file in self memory space.
Processor 202, also for detect current collection image and on pixel value difference between an image exceed warning value time, then generate and outputting alarm signal.
Although described the preferred embodiment of the application, one of ordinary skilled in the art once obtain the basic creative concept of cicada, then can make other change and amendment to these embodiments.So claims are intended to be interpreted as comprising preferred embodiment and falling into all changes and the amendment of the application's scope.
Obviously, those skilled in the art can carry out various change and modification to the application and not depart from the spirit and scope of the application.Like this, if these amendments of the application and modification belong within the scope of the application's claim and equivalent technologies thereof, then the application is also intended to comprise these change and modification.
Claims (10)
1. the method for a video brainpower watch and control, it is characterized in that, the acquisition module of video equipment gathers image with the time interval of presetting to reference object, if the pixel value difference between the image of current collection and a upper image gathered exceedes predetermined threshold value, then starts video capture.
2. the method for claim 1, is characterized in that, described method also comprises: after startup video capture, detects that the pixel value difference between the current image that collects and a upper image gathered does not exceed predetermined threshold value, then stop taking.
3. the method for claim 1, is characterized in that, after startup video capture, also comprises: whether the residual memory space detected in memory space is less than threshold value; If so, then the video in memory space is sent to cloud server to store.
4. method as claimed in claim 3, is characterized in that, after the video in memory space being sent to cloud server and storing, also comprise: delete the video file in the memory space of self.
5. the method for claim 1, is characterized in that, after startup video capture, also comprises: detect current collection image and on pixel value difference between an image exceed warning value time, then generate and outputting alarm signal.
6. a video equipment, is characterized in that, comprising: acquisition module, for gathering image according to the time interval of presetting to reference object; Processor, is connected with described acquisition module, exceedes predetermined threshold value for the pixel value difference between the image of current collection and a upper image gathered, then start acquisition module shooting.
7. video equipment as claimed in claim 6, is characterized in that, described processor, also for detecting that the pixel value difference between the current image that collects and a upper image gathered does not exceed predetermined threshold value, then stops acquisition module taking.
8. video equipment as claimed in claim 6, is characterized in that, described processor, whether is less than threshold value specifically for the residual memory space detected in memory space; If so, then the video in memory space is sent to cloud server to store.
9. video equipment as claimed in claim 6, is characterized in that, described processor, also for deleting the video file in self memory space.
10. video equipment as claimed in claim 6, is characterized in that, described processor, also for detect current collection image and on pixel value difference between an image exceed warning value time, then generate and outputting alarm signal.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN201510478442.1A CN105049810A (en) | 2015-08-07 | 2015-08-07 | Intelligent video monitoring method and video device |
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| CN201510478442.1A CN105049810A (en) | 2015-08-07 | 2015-08-07 | Intelligent video monitoring method and video device |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN109509190A (en) * | 2018-12-19 | 2019-03-22 | 中国科学院重庆绿色智能技术研究院 | Video monitoring image screening technique, device, system and storage medium |
| CN110198475A (en) * | 2018-11-09 | 2019-09-03 | 腾讯科技（深圳）有限公司 | Method for processing video frequency, device, equipment and computer readable storage medium |
| CN110795998A (en) * | 2019-09-19 | 2020-02-14 | 深圳云天励飞技术有限公司 | Human flow detection method, device, electronic device and readable storage medium |
| CN114422818A (en) * | 2022-01-21 | 2022-04-29 | 夏代改 | Method and system for identifying abnormal live broadcast information in video live broadcast |
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| WO2014185814A1 (en) * | 2013-05-16 | 2014-11-20 | Открытое акционерное общество междугородной и международной электрической связи "Ростелеком" | System for transmitting video data from a plurality of simultaneously occurring territorially dispersed events |
| CN104601918A (en) * | 2014-12-29 | 2015-05-06 | 小米科技有限责任公司 | Video recording method and device |
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| CN101778265A (en) * | 2010-01-13 | 2010-07-14 | 上海交通大学 | Exception event detection and double-stream coding-based video monitoring method |
| CN103237054A (en) * | 2013-03-28 | 2013-08-07 | 东莞宇龙通信科技有限公司 | Photo/video storage method and system, and mobile terminal |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110198475A (en) * | 2018-11-09 | 2019-09-03 | 腾讯科技（深圳）有限公司 | Method for processing video frequency, device, equipment and computer readable storage medium |
| CN109509190A (en) * | 2018-12-19 | 2019-03-22 | 中国科学院重庆绿色智能技术研究院 | Video monitoring image screening technique, device, system and storage medium |
| CN110795998A (en) * | 2019-09-19 | 2020-02-14 | 深圳云天励飞技术有限公司 | Human flow detection method, device, electronic device and readable storage medium |
| CN114422818A (en) * | 2022-01-21 | 2022-04-29 | 夏代改 | Method and system for identifying abnormal live broadcast information in video live broadcast |
| CN114422818B (en) * | 2022-01-21 | 2024-01-02 | 夏代改 | Method and system for identifying abnormal live broadcast information in live video broadcast |
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