CN114401395A - Method and system for detecting loose installation of camera based on video intelligent analysis - Google Patents
Method and system for detecting loose installation of camera based on video intelligent analysis Download PDFInfo
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- CN114401395A CN114401395A CN202111642609.5A CN202111642609A CN114401395A CN 114401395 A CN114401395 A CN 114401395A CN 202111642609 A CN202111642609 A CN 202111642609A CN 114401395 A CN114401395 A CN 114401395A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N17/00—Diagnosis, testing or measuring for television systems or their details
- H04N17/002—Diagnosis, testing or measuring for television systems or their details for television cameras
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F16—ENGINEERING ELEMENTS AND UNITS; GENERAL MEASURES FOR PRODUCING AND MAINTAINING EFFECTIVE FUNCTIONING OF MACHINES OR INSTALLATIONS; THERMAL INSULATION IN GENERAL
- F16M—FRAMES, CASINGS OR BEDS OF ENGINES, MACHINES OR APPARATUS, NOT SPECIFIC TO ENGINES, MACHINES OR APPARATUS PROVIDED FOR ELSEWHERE; STANDS; SUPPORTS
- F16M11/00—Stands or trestles as supports for apparatus or articles placed thereon Stands for scientific apparatus such as gravitational force meters
- F16M11/02—Heads
- F16M11/04—Means for attachment of apparatus; Means allowing adjustment of the apparatus relatively to the stand
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F16—ENGINEERING ELEMENTS AND UNITS; GENERAL MEASURES FOR PRODUCING AND MAINTAINING EFFECTIVE FUNCTIONING OF MACHINES OR INSTALLATIONS; THERMAL INSULATION IN GENERAL
- F16M—FRAMES, CASINGS OR BEDS OF ENGINES, MACHINES OR APPARATUS, NOT SPECIFIC TO ENGINES, MACHINES OR APPARATUS PROVIDED FOR ELSEWHERE; STANDS; SUPPORTS
- F16M13/00—Other supports for positioning apparatus or articles; Means for steadying hand-held apparatus or articles
- F16M13/02—Other supports for positioning apparatus or articles; Means for steadying hand-held apparatus or articles for supporting on, or attaching to, an object, e.g. tree, gate, window-frame, cycle
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/185—Electrical failure alarms
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Abstract
The invention relates to a method and a system for detecting loose installation of a camera based on video intelligent analysis, wherein the method comprises the following steps: after the camera is installed, carrying out initialization calibration on the maximum jitter amplitude of the camera in a normal operation scene to obtain a jitter amplitude value of normal jitter of a picture under the condition that the camera is firmly installed, and correspondingly storing the jitter amplitude value; during the operation and maintenance period, calculating the shaking amplitude value of the camera image shaking at regular time, subtracting the shaking amplitude value of the camera image shaking obtained by calculation from the shaking amplitude value of the normal shaking of the image corresponding to the camera stored in advance to obtain a change difference value, comparing the change difference value with the alarm threshold value corresponding to the camera stored in advance, and alarming if the change difference value exceeds the alarm threshold value. The invention can quickly screen out cameras with potential safety hazards, such as falling-off cameras and loose cameras, and carry out targeted maintenance, thereby greatly reducing the maintenance workload.
Description
Technical Field
The invention belongs to the technical field of video monitoring, and particularly relates to a method and a system for detecting loose installation of a camera based on video intelligent analysis.
Background
The mounting means of camera adopts single mounting means such as single posture, suspension or ceiling type more among the current track traffic, in the other or the comparatively abominable place of this kind of environment in overhead station top of track, the camera is in vibrations for a long time, the not hard up of mounting such as crab-bolt appears easily under the corrosion state, the rusty condition of corruption to lead to the camera to drop, not only can cause the camera harm, and can influence driving safety and pedestrian's personal safety, there is certain potential safety hazard.
The camera installed on the tunnel or the elevated frame is periodically influenced by wind pressure and vibration of a vehicle passing through during operation, the picture shakes, the shaking amplitude is related to factors such as the vehicle speed, the support rigidity, the support arm length and the loose degree of the installation surface, and the loose degree of the installation surface has the greatest influence.
Therefore, the camera installation firmness needs to be inspected manually and regularly, and a large amount of workload is brought to operation and maintenance.
Disclosure of Invention
The invention aims to overcome at least one defect in the prior art, provides a method and a system for detecting loose installation of a camera based on video intelligent analysis, and aims to solve the problems that operation and maintenance personnel have large maintenance workload on the camera and are difficult to find the loose camera.
The technical scheme of the invention is realized as follows: the invention discloses a method for detecting loose installation of a camera based on intelligent video analysis, which comprises the following steps:
during the operation and maintenance period, calculating the shaking amplitude value of the camera image shaking at regular time, subtracting the shaking amplitude value of the camera image shaking obtained by calculation from the shaking amplitude value of the normal shaking of the image corresponding to the camera stored in advance to obtain a change difference value, comparing the change difference value with the alarm threshold value corresponding to the camera stored in advance, and alarming if the change difference value exceeds the alarm threshold value.
Further, after the camera is installed, the maximum jitter amplitude of the camera in a normal operation scene is initialized and calibrated, and the jitter amplitude value of the normal jitter of the picture under the condition that the camera is firmly installed is obtained and correspondingly stored.
Further, initializing and calibrating the maximum jitter amplitude of the camera in a normal operation scene to obtain a jitter amplitude value of normal jitter of a picture under the condition that the camera is firmly installed, and specifically comprising the following steps: when the camera is firmly installed, the original picture taken by the camera is processed by an anti-shake algorithm to obtain a picture which is cut to be small, and the pixel size difference value a1 of the X component and the pixel size difference value b1 of the Y component of the picture which is cut to be small and the original picture are calculated.
Further, the step of calculating the jitter value of the camera image jitter at regular time specifically includes: and capturing an original monitoring picture at a certain moment from a video clip shot by a camera at fixed time, carrying out anti-shake algorithm processing on the original monitoring picture to obtain a cut-down picture, and calculating a pixel size difference value a2 of an X component and a pixel size difference value b2 of a Y component of the cut-down picture and the original monitoring picture.
Further, subtracting the calculated pixel size difference a2 of the X component from a prestored shaking amplitude value a1 of the X component when the picture corresponding to the camera shakes normally to obtain a change difference of the X component, comparing the change difference of the X component with a prestored first alarm threshold corresponding to the camera, if the change difference exceeds the first alarm threshold, alarming, subtracting the calculated pixel size difference b2 of the Y component from a prestored shaking amplitude value b1 of the Y component when the picture corresponding to the camera shakes normally to obtain a change difference of the Y component, comparing the change difference of the Y component with a prestored second alarm threshold corresponding to the camera, and if the change difference exceeds the second alarm threshold, alarming.
Further, after the calculated jitter amplitude value of the camera image jitter and the prestored jitter amplitude value of the image normal jitter corresponding to the camera are subtracted to obtain a change difference value, the change difference value is divided by the prestored jitter amplitude value of the image normal jitter corresponding to the camera to obtain a change percentage, the change percentage is compared with the alarm threshold corresponding to the camera, and if the change percentage exceeds the alarm threshold, an alarm is given.
The invention also discloses a system for detecting loose installation of the camera based on video intelligent analysis, which comprises the camera and an analysis server, wherein the camera is used for shooting video pictures, the analysis server is used for acquiring video picture data shot by the camera, calculating the shaking amplitude value of the picture shaking of the camera, subtracting the shaking amplitude value of the picture shaking of the camera obtained by calculation from the shaking amplitude value of the picture normal shaking corresponding to the camera stored in advance to obtain a change difference value, comparing the change difference value with the alarm threshold value corresponding to the camera stored in advance, and alarming if the change difference value exceeds the alarm threshold value.
Further, the analysis server is configured to subtract the calculated jitter amplitude value of the camera image jitter and a prestored jitter amplitude value of the normal image jitter corresponding to the camera to obtain a change difference value, divide the change difference value by the prestored jitter amplitude value of the normal image jitter corresponding to the camera to obtain a change percentage, compare the change percentage with the alarm threshold corresponding to the camera, and alarm if the change percentage exceeds the alarm threshold.
Furthermore, the system for detecting loose installation of the camera based on intelligent video analysis also comprises a video monitoring system, wherein the camera is used for transmitting shot video pictures to the video monitoring system, and the analysis server is used for acquiring video data from the video monitoring system for calculation and analysis.
Furthermore, the camera is fixedly installed on the installation frame in a traditional installation mode, a protection rope is connected between the camera and the installation frame, one end of the protection rope is connected with the camera, and the other end of the protection rope is connected with the installation frame; the camera has a cable/cable interface for connection to a cable/cable, the camera is connected to the video surveillance system via the cable/cable, the cable/cable interface of the camera is mated with the cable/cable connector, and when the camera is dropped, the cable/cable connector is disconnected from the cable/cable interface of the camera, taking the camera off-line, triggering the video surveillance system to generate an alarm.
The invention has at least the following beneficial effects: the invention introduces a picture passing alarm and a picture anti-shake algorithm, a picture of the train passing the video clip processed by the anti-shake algorithm is output by snapshot, a cut and reduced picture is obtained, and the size pixel size difference between the picture and the original picture is calculated and can be used as a judgment parameter of the camera shaking amplitude. The method comprises the steps of initially calibrating the image shaking amplitude when a train passes once under the condition that a camera is firmly installed to obtain a normal shaking constant, detecting the image shaking amplitude during the train passing at regular time, judging whether the shaking amplitude exceeds the initial constant, comparing the difference with an alarm threshold value, and giving an alarm if the shaking amplitude exceeds the initial constant.
The method can detect the installation firmness of the video monitoring camera of the operation line at proper time with lower cost, achieve targeted manual inspection and recheck, and greatly reduce the working pressure and workload of manual regular inspection.
According to the double-protection installation structure of the camera, the protection steel wire is connected with the camera on the basis of installing and fixing the camera in a traditional installation mode, a redundant protection installation mode is provided for installation of the camera, when the camera falls down due to looseness of the camera installation fixing piece, the protection steel wire can pull the camera and the installation seat, the camera cannot fall to a rail to influence driving, or fall from a high position to influence personal safety, the safety of the installed camera is greatly improved, and the maintenance workload is reduced.
The double-protection installation structure of the camera only needs to arrange the fixing support lug on the camera and the installation seat to be connected with one end of the protection steel wire, and the protection steel wire is fixed on the building on the other side, so that the double-protection installation structure of the camera is simple to implement, has little increased cost and has strong practicability.
The invention arranges a steel wire to fix the stainless steel ribbon of the network cable/optical cable at the interface of the camera, so as to ensure that the network cable/optical cable falls off when the camera falls off, so that the camera can be in an off-line state, and the network management system of the video monitoring system can quickly find the off-line camera and accurately judge the fault camera, thereby maintaining the camera in a targeted manner.
After the implementation of the invention, the installation mode greatly improves the safety of the installed camera and basically eliminates the potential safety hazard on one hand, and on the other hand, cameras with potential safety hazard, such as falling-off cameras and loose cameras, can be quickly screened out and maintained in a targeted manner, thereby greatly reducing the maintenance workload.
Drawings
In order to more clearly illustrate the embodiments of the present invention 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 invention, 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 detecting loose installation of a camera based on video intelligent analysis according to an embodiment of the present invention;
fig. 2 is a schematic diagram illustrating a detection principle of jitter values during initialization calibration according to an embodiment of the present invention;
fig. 3 is a schematic diagram illustrating a detection principle of jitter values at each time during operation according to an embodiment of the present invention;
fig. 4 is a schematic diagram of a camera mounting structure provided by an embodiment of the present invention.
In the attached drawing, 1 is a camera, 2 is a camera mounting seat, 3 is a mounting frame, 4 is a protective rope, 5 is a fixed lug, 6 is a network cable/optical cable, and 7 is a fixed rope.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the description of the present invention, it is to be understood that the terms "center", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", and the like indicate orientations or positional relationships based on those shown in the drawings, and are only for convenience of description and simplicity of description, and do not indicate or imply that the referenced devices or elements must have a particular orientation, be constructed and operated in a particular orientation, and thus, are not to be construed as limiting the present invention.
The terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature; in the description of the present invention, the meaning of "plurality" or "a plurality" is two or more unless otherwise specified.
Example one
Referring to fig. 1, the embodiment of the invention discloses a method for detecting loose installation of a camera based on video intelligent analysis, which comprises the following steps:
after the camera is installed, initializing and calibrating the maximum jitter amplitude of the camera in a normal operation scene (including a train passing situation), obtaining the jitter amplitude value of the normal jitter of the picture under the condition that the camera is firmly installed, and correspondingly storing the jitter amplitude value.
During the operation and maintenance period, calculating the shaking amplitude value of the camera image shaking at regular time, subtracting the shaking amplitude value of the camera image shaking obtained by calculation from the shaking amplitude value of the normal shaking of the image corresponding to the camera stored in advance to obtain a change difference value, comparing the change difference value with the alarm threshold value corresponding to the camera stored in advance, and alarming if the change difference value exceeds the alarm threshold value. Further, after the calculated jitter amplitude value of the camera image jitter and the prestored jitter amplitude value of the image normal jitter corresponding to the camera are subtracted to obtain a change difference value, the change difference value is divided by the prestored jitter amplitude value of the image normal jitter corresponding to the camera to obtain a change percentage, the change percentage is compared with the alarm threshold corresponding to the camera, and if the change percentage exceeds the alarm threshold, an alarm is given.
The operation and maintenance personnel carry out on-site inspection, so that the inspection work development mode is changed from one-by-one inspection of all cameras into targeted inspection of the installation condition of a specified camera after alarming, and the operation and maintenance workload is greatly reduced. The alarm threshold is obtained experimentally and empirically.
The invention can periodically (with a certain frequency, can be set as required) calculate the jitter value of the camera image jitter to perform alarm analysis according to the requirement, and can also calculate the jitter value of the camera image jitter to perform alarm analysis when a train passes by.
Further, initializing and calibrating the maximum jitter amplitude of the camera in a normal operation scene to obtain a jitter amplitude value of normal jitter of a picture under the condition that the camera is firmly installed, and specifically comprising the following steps: when the camera is firmly installed, the original picture taken by the camera is processed by an anti-shake algorithm to obtain a cut-down picture, and a pixel size difference value a1 of an X component and a pixel size difference value b1 of a Y component between the cut-down picture and the original picture are calculated, wherein the centers of the cut-down picture and the original picture are the same point, as shown in FIG. 2. Of course, the pre-stored jitter values a1 and b1 for normal jitter of the picture corresponding to the camera may be adjusted as needed or empirically, or may not be adjusted.
Further, the step of calculating the jitter value of the camera image jitter at regular time specifically includes: the original monitoring picture at a certain moment is captured from a video clip shot by a camera at fixed time, the original monitoring picture is subjected to anti-shake algorithm processing to obtain a cut-down picture, a pixel size difference value a2 of an X component and a pixel size difference value b2 of a Y component of the cut-down picture and the original monitoring picture are calculated, and referring to fig. 3, the center of the cut-down picture and the center of the original monitoring picture are the same.
Further, subtracting the calculated pixel size difference a2 of the X component from a prestored shaking amplitude value a1 of the X component when the picture corresponding to the camera shakes normally to obtain a change difference of the X component, comparing the change difference of the X component with a prestored first alarm threshold corresponding to the camera, if the change difference exceeds the first alarm threshold, alarming, subtracting the calculated pixel size difference b2 of the Y component from a prestored shaking amplitude value b1 of the Y component when the picture corresponding to the camera shakes normally to obtain a change difference of the Y component, comparing the change difference of the Y component with a prestored second alarm threshold corresponding to the camera, and if the change difference exceeds the second alarm threshold, alarming.
One specific embodiment is: and after obtaining the change difference value of the X component and the change difference value of the Y component, dividing the change difference value of the X component by a prestored shaking amplitude value a1 of normal shaking of the picture corresponding to the camera to obtain the change percentage of the X component, comparing the change percentage of the X component with a first alarm threshold corresponding to the camera, and if the change percentage of the X component exceeds the first alarm threshold, alarming. And dividing the change difference value of the Y component by a prestored shaking amplitude value b1 of normal shaking of the picture corresponding to the camera to obtain the change percentage of the Y component, comparing the change percentage of the Y component with a second alarm threshold value corresponding to the camera, and if the change percentage of the Y component exceeds the second alarm threshold value, alarming.
Further, initializing and calibrating the image shaking amplitude when the vehicle passes once under the condition that the camera is firmly installed to obtain the shaking amplitude value of the normal shaking of the image under the condition that the camera is firmly installed, downloading the video during each vehicle passing during the operation period, analyzing and processing to obtain the shaking amplitude X component and the shaking amplitude Y component of the image shaking detected this time, and calculating the shaking amplitude value of the image shaking of the camera.
After the method of the embodiment of the invention is implemented, the camera with potential safety hazard can be quickly screened out by the detection mode, the detection period is shortened, and on the other hand, the workload of maintenance on the road can be greatly reduced.
Example two
The embodiment of the invention discloses a system for detecting loose installation of a camera based on video intelligent analysis, which comprises the camera and an analysis server, wherein the camera is used for shooting video pictures, the analysis server is used for acquiring video picture data shot by the camera, calculating a shaking amplitude value of the picture shaking of the camera, subtracting the shaking amplitude value of the picture shaking of the camera obtained by calculation from a prestored shaking amplitude value of the picture normal shaking corresponding to the camera to obtain a change difference value, comparing the change difference value with a prestored alarm threshold value corresponding to the camera, and alarming if the change difference value exceeds the alarm threshold value.
Further, the analysis server is configured to subtract the calculated jitter amplitude value of the camera image jitter and a prestored jitter amplitude value of the normal image jitter corresponding to the camera to obtain a change difference value, divide the change difference value by the prestored jitter amplitude value of the normal image jitter corresponding to the camera to obtain a change percentage, compare the change percentage with the alarm threshold corresponding to the camera, and alarm if the change percentage exceeds the alarm threshold.
Furthermore, the system for detecting loose installation of the camera based on intelligent video analysis also comprises a video monitoring system, wherein the camera is used for transmitting shot video pictures to the video monitoring system, and the analysis server is used for acquiring video data from the video monitoring system for calculation and analysis. The specific scheme of the analysis server of this embodiment for performing the calculation analysis is as shown in the first embodiment.
Further, referring to fig. 4, when the camera 1 has the camera mounting base 2, the camera 1 is mounted on the camera mounting base 2, the camera mounting base 2 is mounted and fixed on the mounting frame 3 in a conventional mounting manner, one end of the protection rope 4 is fixedly connected with the camera 1 or/and the camera mounting base 2, and the other end of the protection rope 4 is fixedly connected with the mounting frame 3. When camera 1 does not take a photograph camera mount pad 2 or camera 1 and camera mount pad 2 are as an organic whole, camera 1 is fixed on mounting bracket 3 through traditional mounting means installation, the one end and the camera 1 fixed connection of protection rope 4, the other end and the mounting bracket 3 fixed connection of protection rope 4.
The camera has a cable/cable interface for connection to a cable/cable, the camera is connected to the video surveillance system via the cable/cable, the cable/cable interface of the camera is mated with the cable/cable connector, and when the camera is dropped, the cable/cable connector is disconnected from the cable/cable interface of the camera, taking the camera off-line, triggering the video surveillance system to generate an alarm.
The video surveillance system of the present invention may be of an existing configuration, for example, the video surveillance system of an embodiment includes a video server, a fiber switch or a fiber transceiver, and a surveillance center, the camera 1 is connected to the video server through a network cable/optical cable 6, and the video server is connected to the surveillance center through the fiber switch or the fiber transceiver. Of course, the video surveillance system of the present invention is not limited to the above-described embodiment.
Further, at least one of the camera 1 and the camera mounting seat 2 is provided with a fixed lug 5 which is fixedly connected with the protective rope 4; and the fixed support lug 5 is provided with a connecting hole for fixedly connecting with the protective rope 4.
Furthermore, a fixed lug 5 for fixedly connecting with the protective rope 4 is arranged on the mounting rack 3; and the fixed support lug 5 is provided with a connecting hole for fixedly connecting with the protective rope 4.
Further, the double-protection camera 1 mounting structure further comprises a fixing rope 7, the camera 1 is provided with a network cable/optical cable interface used for being connected with the network cable/optical cable 6, the network cable/optical cable interface of the camera 1 is in plug-in fit with the joint of the network cable/optical cable 6, one end of the fixing rope 7 is connected with the network cable/optical cable 6, the joint is close to the joint of the network cable/optical cable 6, the other end of the fixing rope 7 is fixedly connected with the mounting frame 3, and therefore when the camera 1 falls, the joint of the network cable/optical cable 6 falls off from the network cable/optical cable interface of the camera, and the camera 1 is off line.
Further, the camera 1 is connected to a video surveillance system via a network/optical cable 6.
Furthermore, the fixed rope 7 is fixedly connected with a fixed lug 5 arranged on the mounting rack 3; and the fixed support lug 5 is provided with a connecting hole for fixedly connecting with the fixed rope 7.
Further, a fixing member for fixedly connecting with the fixing rope 7 is provided on the network cable/optical cable 6 near the joint of the network cable/optical cable 6. Such as a stainless steel cable tie at the interface of the camera 1 to the network/optical cable 6, also secured by steel wire.
Further, the camera 1 has a cable/cord interface for connection to the cable/cord 6, the cable/cord interface of the camera 1 being in a plug-in fit with the cable/cord 6 joint, the length of the protective cord 4 enabling the cable/cord 6 joint to be removed from the camera cable/cord interface when the camera 1 is dropped, taking the camera 1 off-line.
The length of the protective rope 4 is set according to actual needs. The length of the fixing rope 7 is set according to actual requirements. Fig. 1 only illustrates the structures of the protective rope 4 and the fixing rope 7, and does not limit the lengths of the protective rope 4 and the fixing rope 7.
Further, the length of the protective rope 4 enables the camera 1 to hang when the camera 1 is dropped.
Further, the protection rope 4 is made of a corrosion-resistant material.
Preferably, the protection rope 4 is a steel wire rope.
Further, conventional mounting means include a bracket type, a hanging type, or a ceiling type.
In addition to the traditional hanging and support type installation and fixation scheme, the camera 1 of the invention also provides a redundant protection installation mode for the installation of the camera 1 through the protection steel wires (or other materials), and only 1 protection steel wire (suitable for the situation that the base and the camera 1 are integrated) or 2 steel wires are arranged to respectively fix the two installation modes of the camera 1 and the base. The invention ensures that the cable of the camera 1 falls off by fixing the steel wire (or other materials) and the cable binding belt, thereby triggering the network management alarm.
The double-protection installation mode provided by the patent is suitable for the camera 1 with side wall bracket installation and hanging installation, and the steel wire can be replaced by other corrosion-resistant materials and can sufficiently bear the weight of the camera 1. When camera 1 drops because of the camera 1 installation mounting looseness, camera 1 and mount pad can be held to the protection steel wire, be unlikely to drop to the track influence driving, or drop from the eminence and influence personal safety. On the other hand, a stainless steel ribbon of the network cable/optical cable 6 at the interface of the camera 1 is arranged for fixing, so that when the camera 1 falls, the network cable/optical cable 6 falls off, the camera 1 is in an off-line state, a video monitoring system is triggered to give an alarm, a network manager of the video monitoring system can rapidly find the off-line camera 1, a fault camera 1 can be accurately judged, and the camera 1 is maintained in a targeted manner.
This patent has still provided a video analysis and has detected camera installation spacious method, through the mode that sets up backstage video analysis server, detects the picture shake range of camera, and every camera sets up a normal value, and the shake range number value through the picture shake that detects fortune dimension during changes, finds out the emergence of camera installation spacious phenomenon, arranges the key investigation of fortune dimension personnel after the warning, the work load of the maintenance that has significantly reduced. The method can obtain the analysis result by only arranging the analysis server on the background to acquire the video data from the existing video monitoring system through the GB/T28181 standard protocol and analyze the video data, and has the advantages of simple implementation, little increase cost and strong implementability.
The invention is suitable for being applied to the scenes of installation of the monitoring cameras 1 at the positions with severe environments, such as the sides of the rail transit tracks, the tops of elevated stations and the like. The installation mode of the invention only needs to arrange the fixed support lug 5 on the camera 1 for connecting the protection steel wire, and the other side of the installation frame 3, such as a building, is fixed with the protection steel wire, thus the invention has simple implementation, little cost increase and strong implementability.
After the implementation of the invention, the mounting structure greatly improves the safety of the mounted camera 1 and basically eliminates the potential safety hazard on one hand, and can also carry out targeted maintenance on the falling camera 1 on the other hand, thereby greatly reducing the maintenance workload.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (10)
1. A method for detecting loose installation of a camera based on video intelligent analysis is characterized by comprising the following steps:
during the operation and maintenance period, calculating the shaking amplitude value of the camera image shaking at regular time, subtracting the shaking amplitude value of the camera image shaking obtained by calculation from the shaking amplitude value of the normal shaking of the image corresponding to the camera stored in advance to obtain a change difference value, comparing the change difference value with the alarm threshold value corresponding to the camera stored in advance, and alarming if the change difference value exceeds the alarm threshold value.
2. The method for detecting loose camera installation based on intelligent video analysis as claimed in claim 1, wherein: after the camera is installed, initializing and calibrating the maximum jitter amplitude of the camera in a normal operation scene to obtain the jitter amplitude value of the normal jitter of the picture under the condition that the camera is firmly installed, and correspondingly storing the jitter amplitude value.
3. The method for detecting loose camera installation based on intelligent video analysis as claimed in claim 2, wherein: initializing and calibrating the maximum jitter amplitude of a camera under a normal operation scene to obtain a jitter amplitude value of normal jitter of a picture under the condition that the camera is firmly installed, and the method specifically comprises the following steps: when the camera is firmly installed, the original picture taken by the camera is processed by an anti-shake algorithm to obtain a picture which is cut to be small, and the pixel size difference value a1 of the X component and the pixel size difference value b1 of the Y component of the picture which is cut to be small and the original picture are calculated.
4. The method for detecting loose camera installation based on intelligent video analysis as claimed in claim 1, wherein: the method for calculating the shaking amplitude value of the camera picture shaking at fixed time specifically comprises the following steps: and capturing an original monitoring picture at a certain moment from a video clip shot by a camera at fixed time, carrying out anti-shake algorithm processing on the original monitoring picture to obtain a cut-down picture, and calculating a pixel size difference value a2 of an X component and a pixel size difference value b2 of a Y component of the cut-down picture and the original monitoring picture.
5. The method for detecting loose camera installation based on intelligent video analysis of claim 4, wherein: subtracting the calculated pixel size difference a2 of the X component from a prestored shaking amplitude value a1 of the X component when the picture corresponding to the camera shakes normally to obtain a change difference of the X component, then comparing the change difference of the X component with a prestored first alarm threshold corresponding to the camera, if the change difference exceeds the first alarm threshold, alarming, subtracting the calculated pixel size difference b2 of the Y component from a prestored shaking amplitude value b1 of the Y component when the picture corresponding to the camera shakes normally to obtain a change difference of the Y component, then comparing the change difference of the Y component with a prestored second alarm threshold corresponding to the camera, and if the change difference exceeds the second alarm threshold, alarming.
6. The method for detecting loose camera installation based on intelligent video analysis as claimed in claim 1, wherein: and subtracting the calculated jitter amplitude value of the camera image jitter and a prestored jitter amplitude value of the image normal jitter corresponding to the camera to obtain a change difference value, dividing the change difference value by the prestored jitter amplitude value of the image normal jitter corresponding to the camera to obtain a change percentage, comparing the change percentage with an alarm threshold corresponding to the camera, and if the change percentage exceeds the alarm threshold, giving an alarm.
7. The utility model provides a loose system of installation based on video intelligent analysis detects camera which characterized in that: the method comprises a camera and an analysis server, wherein the camera is used for shooting video pictures, the analysis server is used for obtaining video picture data shot by the camera, calculating a shaking amplitude value of the shaking of the pictures of the camera, subtracting the shaking amplitude value of the shaking of the pictures of the camera obtained by calculation from a shaking amplitude value of normal shaking of the pictures corresponding to the camera stored in advance to obtain a change difference value, comparing the change difference value with an alarm threshold value corresponding to the camera stored in advance, and alarming if the change difference value exceeds the alarm threshold value.
8. The system for detecting loose camera installation based on intelligent video analysis of claim 7, wherein: the analysis server is used for subtracting the calculated jitter amplitude value of the camera image jitter and a prestored jitter amplitude value of the normal image jitter corresponding to the camera to obtain a change difference value, dividing the change difference value by the prestored jitter amplitude value of the normal image jitter corresponding to the camera to obtain a change percentage, comparing the change percentage with an alarm threshold corresponding to the camera, and alarming if the change percentage exceeds the alarm threshold.
9. The system for detecting loose camera installation based on intelligent video analysis of claim 7, wherein: the system further comprises a video monitoring system, the camera is used for transmitting the shot video pictures to the video monitoring system, and the analysis server is used for acquiring video data from the video monitoring system for calculation and analysis.
10. The system for detecting loosely-installed cameras based on intelligent analysis of video as claimed in claim 7 or 9, wherein: the camera is fixedly installed on the installation frame in a traditional installation mode, the protection rope is connected between the camera and the installation frame, one end of the protection rope is connected with the camera, and the other end of the protection rope is connected with the installation frame; the camera has a cable/cable interface for connection to a cable/cable, the camera is connected to the video surveillance system via the cable/cable, the cable/cable interface of the camera is mated with the cable/cable connector, and when the camera is dropped, the cable/cable connector is disconnected from the cable/cable interface of the camera, taking the camera off-line, triggering the video surveillance system to generate an alarm.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115225814A (en) * | 2022-06-17 | 2022-10-21 | 苏州蓝博控制技术有限公司 | Camera assembly and video processing method thereof |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115225814A (en) * | 2022-06-17 | 2022-10-21 | 苏州蓝博控制技术有限公司 | Camera assembly and video processing method thereof |
| CN115225814B (en) * | 2022-06-17 | 2023-09-05 | 苏州蓝博控制技术有限公司 | Camera assembly and video processing method thereof |
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