CN116255583B - Video monitoring LED lighting lamp with self-adaptive brightness and wide dynamic range - Google Patents
Video monitoring LED lighting lamp with self-adaptive brightness and wide dynamic range Download PDFInfo
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 27
- 238000004458 analytical method Methods 0.000 claims abstract description 89
- 238000005286 illumination Methods 0.000 claims abstract description 48
- 238000012545 processing Methods 0.000 claims abstract description 30
- 238000010191 image analysis Methods 0.000 claims abstract description 17
- 238000000034 method Methods 0.000 claims abstract description 17
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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
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F21—LIGHTING
- F21S—NON-PORTABLE LIGHTING DEVICES; SYSTEMS THEREOF; VEHICLE LIGHTING DEVICES SPECIALLY ADAPTED FOR VEHICLE EXTERIORS
- F21S8/00—Lighting devices intended for fixed installation
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F21—LIGHTING
- F21V—FUNCTIONAL FEATURES OR DETAILS OF LIGHTING DEVICES OR SYSTEMS THEREOF; STRUCTURAL COMBINATIONS OF LIGHTING DEVICES WITH OTHER ARTICLES, NOT OTHERWISE PROVIDED FOR
- F21V23/00—Arrangement of electric circuit elements in or on lighting devices
- F21V23/04—Arrangement of electric circuit elements in or on lighting devices the elements being switches
- F21V23/0442—Arrangement of electric circuit elements in or on lighting devices the elements being switches activated by means of a sensor, e.g. motion or photodetectors
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F21—LIGHTING
- F21V—FUNCTIONAL FEATURES OR DETAILS OF LIGHTING DEVICES OR SYSTEMS THEREOF; STRUCTURAL COMBINATIONS OF LIGHTING DEVICES WITH OTHER ARTICLES, NOT OTHERWISE PROVIDED FOR
- F21V23/00—Arrangement of electric circuit elements in or on lighting devices
- F21V23/04—Arrangement of electric circuit elements in or on lighting devices the elements being switches
- F21V23/0442—Arrangement of electric circuit elements in or on lighting devices the elements being switches activated by means of a sensor, e.g. motion or photodetectors
- F21V23/0464—Arrangement of electric circuit elements in or on lighting devices the elements being switches activated by means of a sensor, e.g. motion or photodetectors the sensor sensing the level of ambient illumination, e.g. dawn or dusk sensors
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- G—PHYSICS
- G03—PHOTOGRAPHY; CINEMATOGRAPHY; ANALOGOUS TECHNIQUES USING WAVES OTHER THAN OPTICAL WAVES; ELECTROGRAPHY; HOLOGRAPHY
- G03B—APPARATUS OR ARRANGEMENTS FOR TAKING PHOTOGRAPHS OR FOR PROJECTING OR VIEWING THEM; APPARATUS OR ARRANGEMENTS EMPLOYING ANALOGOUS TECHNIQUES USING WAVES OTHER THAN OPTICAL WAVES; ACCESSORIES THEREFOR
- G03B15/00—Special procedures for taking photographs; Apparatus therefor
- G03B15/02—Illuminating scene
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/40—Scenes; Scene-specific elements in video content
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
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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
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- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
- H05B45/00—Circuit arrangements for operating light-emitting diodes [LED]
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- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
- H05B45/00—Circuit arrangements for operating light-emitting diodes [LED]
- H05B45/50—Circuit arrangements for operating light-emitting diodes [LED] responsive to malfunctions or undesirable behaviour of LEDs; responsive to LED life; Protective circuits
-
- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
- H05B47/00—Circuit arrangements for operating light sources in general, i.e. where the type of light source is not relevant
- H05B47/10—Controlling the light source
- H05B47/105—Controlling the light source in response to determined parameters
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- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
- H05B47/00—Circuit arrangements for operating light sources in general, i.e. where the type of light source is not relevant
- H05B47/10—Controlling the light source
- H05B47/105—Controlling the light source in response to determined parameters
- H05B47/11—Controlling the light source in response to determined parameters by determining the brightness or colour temperature of ambient light
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- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
- H05B47/00—Circuit arrangements for operating light sources in general, i.e. where the type of light source is not relevant
- H05B47/10—Controlling the light source
- H05B47/165—Controlling the light source following a pre-assigned programmed sequence; Logic control [LC]
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- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
- H05B47/00—Circuit arrangements for operating light sources in general, i.e. where the type of light source is not relevant
- H05B47/20—Responsive to malfunctions or to light source life; for protection
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F21—LIGHTING
- F21Y—INDEXING SCHEME ASSOCIATED WITH SUBCLASSES F21K, F21L, F21S and F21V, RELATING TO THE FORM OR THE KIND OF THE LIGHT SOURCES OR OF THE COLOUR OF THE LIGHT EMITTED
- F21Y2115/00—Light-generating elements of semiconductor light sources
- F21Y2115/10—Light-emitting diodes [LED]
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B20/00—Energy efficient lighting technologies, e.g. halogen lamps or gas discharge lamps
- Y02B20/40—Control techniques providing energy savings, e.g. smart controller or presence detection
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- General Engineering & Computer Science (AREA)
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Abstract
The application belongs to the field of LED illumination, relates to a data analysis technology, and is used for solving the problem that a video monitoring LED illumination lamp cannot carry out illumination brightness self-adaptive adjustment according to an external environment, in particular to a video monitoring LED illumination lamp with a brightness self-adaptive wide dynamic range, which comprises a processor, wherein the processor is in communication connection with a video processing module, an image analysis module, a brightness adjustment module, a storage module and a controller; the video processing module is used for receiving video data of video monitoring shooting and processing and analyzing: generating a management period, dividing the management period into a plurality of management periods, decomposing video data received in the management periods into image data of one frame by one frame through a video decomposition technology, marking the image data as an analysis image, and transmitting the analysis image of the management period to an image analysis module; the application can receive and process the video shot by monitoring, and analyze the contrast of the analysis image by an image processing technology.
Description
Technical Field
The application belongs to the field of LED illumination, relates to a data analysis technology, and particularly relates to a video monitoring LED illumination lamp with a brightness self-adaptive wide dynamic range.
Background
LED light fixtures refer to fixtures that transmit light, distribute and change the light distribution of an LED light source, including all the parts and components required to secure and protect the LED light source, except for the LED light source, as well as the wiring accessories necessary for connection to a power source.
When the security monitoring camera is applied, a scene with larger light and dark contrast or backlight is frequently generated, so that a bright area in an image is overexposed, a darker area is underexposed, and the brightest and darkest parts of the image cannot be seen clearly.
The application provides a solution to the technical problem.
Disclosure of Invention
The application aims to provide a video monitoring LED lighting lamp with a brightness self-adaptive wide dynamic range, which is used for solving the problem that the video monitoring LED lighting lamp cannot carry out self-adaptive adjustment on lighting brightness according to an external environment;
the technical problems to be solved by the application are as follows: how to provide a video monitoring LED lighting fixture with a wide dynamic range and self-adaptive brightness, wherein the self-adaptive brightness can be adjusted according to the external environment.
The aim of the application can be achieved by the following technical scheme:
the brightness self-adaptive wide dynamic range video monitoring LED lighting lamp comprises a processor, wherein the processor is in communication connection with a video processing module, an image analysis module, a brightness adjusting module, a storage module and a controller;
the video processing module is used for receiving video data of video monitoring shooting and processing and analyzing: generating a management period, dividing the management period into a plurality of management periods, decomposing video data received in the management periods into image data of one frame by one frame through a video decomposition technology, marking the image data as an analysis image, and transmitting the analysis image of the management period to an image analysis module;
the image analysis module is used for processing and analyzing the received analysis image: amplifying an analysis image into a pixel grid image, carrying out gray level transformation, dividing a gray level range of 0-255 into a plurality of uniform gray level intervals, generating a plurality of gray level sets, wherein the gray level intervals correspond to the gray level sets one by one, marking the average value of two boundary values of the gray level intervals as gray table values of the gray level sets, acquiring a distribution coefficient FB of the analysis image, and marking the adjustment characteristic of the analysis image as stretching, normal or shrinkage according to the numerical value of the distribution coefficient FB; sending the adjustment characteristics of all the analysis images in the management period to a brightness adjustment module;
the brightness adjusting module is used for adjusting and analyzing the brightness of the LED illumination lamp: the method comprises the steps of marking the number of analysis images with the adjustment characteristics of stretching, normal and shrinkage in a management period as a stretching value LS, a normal value ZC and a shrinkage value SS respectively, and obtaining an adjustment coefficient TJ of the management period by carrying out numerical calculation on the stretching value LS, the normal value ZC and the shrinkage value SS; acquiring an adjustment threshold TJmin through a storage module, comparing an adjustment coefficient TJ of a management period with the adjustment threshold TJmin, and judging whether the lighting environment is abnormal or not according to a comparison result;
the controller is used for adjusting and controlling the output power of the LED lighting lamp.
As a preferred embodiment of the present application, the process of acquiring the distribution coefficient FB includes: comparing the gray values of the pixel grids with gray intervals, dividing the pixel grids into corresponding gray sets through a comparison result, marking the number of subsets of the gray sets as marking values of the gray sets, obtaining marking thresholds through a storage module, marking the gray sets with marking values not smaller than the marking thresholds as protruding sets, obtaining gray table values of the protruding sets, establishing gray table sets with gray table values of all the protruding sets, and performing variance calculation on the gray table sets to obtain distribution coefficients FB of analysis images.
As a preferred embodiment of the present application, the specific process of marking the adjustment feature of the analysis image as stretching, normal or shrinking includes: the distribution threshold values FBmin and FBmax are obtained through the storage module, and the distribution coefficient FB of the analysis image is compared with the distribution threshold values FBmin and FBmax: if FB is less than or equal to FBmin, judging that the image contrast of the analysis object does not meet the requirement, and marking the adjustment characteristic of the analysis image as stretching; if FBmin is smaller than FB and smaller than FBmax, judging that the image contrast of the analysis image meets the requirement, and marking the adjustment characteristic of the analysis image as normal; if FB is larger than or equal to FBmax, judging that the image contrast of the analysis image does not meet the requirement, and marking the adjustment feature of the analysis image as shrinkage.
As a preferred embodiment of the present application, the specific process of comparing the adjustment coefficient TJ of the management period with the adjustment threshold TJmin includes: if TJ is smaller than or equal to TJmin, judging that the illumination environment is abnormal, sending an environment abnormal signal to a processor by a brightness adjusting module, and sending the environment abnormal signal to a mobile phone terminal of a manager after the processor receives the environment abnormal signal; if TJ is greater than TJmax, the stretch value LS, the normal value ZC and the shrinkage value SS are compared in numerical values: if the value of the stretching value LS is the largest, judging that the LED lighting lamp needs to be subjected to brightness adjustment, sending an enhancement signal to a processor by a brightness adjustment module, and sending the enhancement signal to a controller after the processor receives the enhancement signal; if the value of the normal value ZC is the largest, judging that the LED lighting lamp does not need to be subjected to brightness adjustment, sending a maintenance signal to a processor by a brightness adjustment module, and sending the maintenance signal to a controller after the processor receives the maintenance signal; if the value of the shrinkage value SS is the largest, the LED lighting lamp needs to be subjected to brightness adjustment, the brightness adjustment module sends a weakening signal to the processor, and the processor sends the weakening signal to the controller after receiving the weakening signal.
As a preferred embodiment of the present application, the specific process of the controller for adjusting and controlling the output power of the LED lighting fixture includes: the controller does not perform brightness adjustment processing when receiving the maintenance signal; after receiving the enhancement signal, the controller controls the output power of the LED illumination lamp to rise in equal proportion at the beginning time of the next management period, wherein the rising proportion of the output power is L1; the controller receives the weakening signal and then controls the output power of the LED illumination lamp to rise in equal proportion at the beginning time of the next management period, the rising proportion of the output power is L2, the normal value of the next management period is obtained, and if the value of the normal value rises, the brightness adjustment analysis is carried out again at the ending time of the next management period; and if the value of the positive output value is reduced or unchanged, controlling the output power of the LED illumination lamp to be reduced in equal proportion when the controller receives the weakening signal again, wherein the reduction proportion of the output power is L3.
As a preferred embodiment of the application, the working method of the video monitoring LED illumination lamp with the brightness self-adapting wide dynamic range comprises the following steps:
step one: generating a management period, dividing the management period into a plurality of management periods, decomposing video data received in the management periods into image data of one frame by one frame through a video decomposition technology, marking the image data as an analysis image, and transmitting the analysis image of the management period to an image analysis module;
step two: processing and analyzing the analysis image: amplifying an analysis image into a pixel grid image, carrying out gray level transformation to generate a plurality of gray level sets, marking the gray level sets with marking values not smaller than marking threshold values as salient sets, carrying out numerical calculation on gray table values of the salient sets to obtain distribution coefficients FB, and marking the adjustment characteristics of the analysis image as stretching, normal or shrinkage according to the numerical values of the distribution coefficients FB;
step three: adjusting and analyzing the brightness of the LED illumination lamp: acquiring the number of analysis images with the adjustment characteristics of stretching, normal or shrinkage in a management period, performing numerical calculation to obtain an adjustment coefficient TJ, and judging whether the lighting environment is abnormal or not according to the numerical value of the adjustment coefficient TJ;
step four: when the brightness of the LED illumination lamp needs to be adjusted, the controller is used for adjusting and controlling the output power of the LED illumination lamp.
The application has the following beneficial effects:
1. the video processing module can receive and process the video shot by monitoring, the image analysis module processes and analyzes the image after decomposing the video into the image, and the image processing technology analyzes the contrast of the analysis image, so that the data support is provided for the self-adaptive adjustment control of the LED lamp according to the contrast analysis result;
2. the brightness of the LED illumination lamp can be adjusted and analyzed through the brightness adjusting module, the adjusting coefficient is obtained through numerical calculation on the quantity of the analysis images with the adjusting characteristics of stretching, normal and shrinkage in the management period, whether the external environment is abnormal or not is further judged through the numerical value of the adjusting coefficient, early warning is timely carried out when the external environment is abnormal, and the problem that the video definition is further reduced due to unordered adjustment of the brightness of the LED illumination lamp when the environment is abnormal is avoided;
3. the controller can regulate and control the output power of the LED lighting lamp, and the brightness regulation and control are carried out on the brightness regulation analysis result in the management period, and contrast observation is carried out when a weakening signal is received, so that the brightness of the lighting lamp can be completely matched with the external environment, and the definition of the monitoring video is further ensured.
Drawings
In order to more clearly illustrate the embodiments of the application or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a system block diagram of a first embodiment of the present application;
fig. 2 is a flowchart of a method according to a second embodiment of the application.
Detailed Description
The technical solutions of the present application will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Example 1
As shown in FIG. 1, the brightness self-adaptive wide dynamic range video monitoring LED lighting lamp comprises a processor, wherein the processor is in communication connection with a video processing module, an image analysis module, a brightness adjusting module, a storage module and a controller.
The video processing module is used for receiving video data of video monitoring shooting and carrying out processing analysis: generating a management period, dividing the management period into a plurality of management periods, decomposing video data received in the management periods into image data frame by frame through a video decomposition technology, marking the image data as analysis images, and sending the analysis images of the management periods to an image analysis module.
The image analysis module is used for processing and analyzing the received analysis image: amplifying an analysis image into a pixel grid image, carrying out gray level transformation, dividing a gray level range of 0-255 into a plurality of uniform gray level intervals, generating a plurality of gray level sets, wherein the gray level intervals are in one-to-one correspondence with the gray level sets, marking an average value of two boundary values of the gray level intervals as gray table values of the gray level sets, comparing the gray level values of the pixel grid with the gray level intervals, marking the pixel grid into the corresponding gray level sets through comparison results, marking the number of subsets of the gray level sets as mark values of the gray level sets, obtaining a mark threshold through a storage module, marking the gray level sets with mark values not smaller than the mark threshold as salient sets, obtaining the gray table values of the salient sets, establishing the gray table sets with the gray table values of all the salient sets, carrying out variance calculation on the gray table sets to obtain distribution coefficients FB of the analysis image, obtaining distribution coefficients FB of the analysis image and comparing the distribution coefficients FBmin and FBmax of the analysis image with the distribution thresholds FBmin and FBmax through the storage module: if FB is less than or equal to FBmin, judging that the image contrast of the analysis object does not meet the requirement, and marking the adjustment characteristic of the analysis image as stretching; if FBmin is smaller than FB and smaller than FBmax, judging that the image contrast of the analysis image meets the requirement, and marking the adjustment characteristic of the analysis image as normal; if FB is larger than or equal to FBmax, judging that the image contrast of the analysis image does not meet the requirement, and marking the adjustment characteristic of the analysis image as shrinkage; sending the adjustment characteristics of all the analysis images in the management period to a brightness adjustment module; and receiving and processing the video shot by monitoring, decomposing the video into images, processing and analyzing the images through an image analysis module, and analyzing the contrast of the analyzed images through an image processing technology, so that data support is provided for the self-adaptive adjustment control of the LED lamp according to the contrast analysis result.
The brightness adjusting module is used for adjusting and analyzing the brightness of the LED illumination lamp: the method comprises the steps that the quantity of analysis images with adjusting characteristics of stretching, normal and shrinkage in a management period is respectively marked as a stretching value LS, a normal value ZC and a shrinkage value SS, an adjusting coefficient TJ of the management period is obtained through a formula TJ=alpha 1|LS-SS|+alpha 2|LS-ZC|+alpha 3|SS-ZC|, the adjusting coefficient is a numerical value reflecting the abnormal degree of the illumination environment in the management period, the smaller the numerical value of the adjusting coefficient is, the higher the abnormal degree of the illumination environment is, the illumination brightness of an LED illumination lamp is adjusted in a time-sharing mode, the smaller the numerical value of the adjusting coefficient is, the values of the stretching value LS, the normal value ZC and the shrinkage value SS are close, and therefore the change frequency of the external illumination environment in the management period is higher; wherein, alpha 1, alpha 2 and alpha 3 are all proportional coefficients, and alpha 1 > alpha 2 > alpha 3 > 1; the adjustment threshold TJmin is obtained through the storage module, and the adjustment coefficient TJ of the management period is compared with the adjustment threshold TJmin: if TJ is smaller than or equal to TJmin, judging that the illumination environment is abnormal, sending an environment abnormal signal to a processor by a brightness adjusting module, sending the environment abnormal signal to a mobile phone terminal of a manager after the processor receives the environment abnormal signal, observing and processing the illumination environment after the manager receives the environment abnormal signal, and simultaneously, performing fault investigation on an output circuit of the illumination lamp; if TJ is greater than TJmax, the stretch value LS, the normal value ZC and the shrinkage value SS are compared in numerical values: if the value of the stretching value LS is the largest, judging that the LED lighting lamp needs to be subjected to brightness adjustment, sending an enhancement signal to a processor by a brightness adjustment module, and sending the enhancement signal to a controller after the processor receives the enhancement signal; if the value of the normal value ZC is the largest, judging that the LED lighting lamp does not need to be subjected to brightness adjustment, sending a maintenance signal to a processor by a brightness adjustment module, and sending the maintenance signal to a controller after the processor receives the maintenance signal; if the value of the shrinkage value SS is the largest, the LED lighting lamp needs to be subjected to brightness adjustment, the brightness adjustment module sends a weakening signal to the processor, and the processor sends the weakening signal to the controller after receiving the weakening signal; the brightness of the LED illumination lamp is adjusted and analyzed, the adjusting coefficient is obtained by carrying out numerical calculation on the quantity of analysis images with the adjusting characteristics of stretching, normal and shrinkage in the management period, whether the external environment is abnormal or not is further judged by the numerical value of the adjusting coefficient, early warning is timely carried out when the external environment is abnormal, and the problem that the video definition is further reduced due to disordered adjustment of the brightness of the LED illumination lamp when the external environment is abnormal is avoided.
The controller is used for adjusting and controlling the output power of the LED illumination lamp: the controller does not perform brightness adjustment processing when receiving the maintenance signal; after receiving the enhancement signal, the controller controls the output power of the LED illumination lamp to rise in equal proportion at the beginning time of the next management period, wherein the rising proportion of the output power is L1; the controller receives the weakening signal and then controls the output power of the LED illumination lamp to rise in equal proportion at the beginning time of the next management period, the rising proportion of the output power is L2, the normal value of the next management period is obtained, and if the value of the normal value rises, the brightness adjustment analysis is carried out again at the ending time of the next management period; if the value of the positive output value is reduced or unchanged, controlling the output power of the LED illumination lamp to be reduced in equal proportion when the controller receives the weakening signal again, wherein the reduction proportion of the output power is L3, L1, L2 and L3 are constant values, and specific values of L1, L2 and L3 are set by a manager; the output power of the LED illumination lamp is adjusted and controlled, the brightness adjustment and analysis result in the management period is adjusted and controlled, and contrast observation is carried out when a weakening signal is received, so that the brightness of the illumination lamp can be completely matched with the external environment, and the definition of the monitoring video is further ensured.
Example two
As shown in fig. 2, a working method of a brightness self-adaptive wide dynamic range video monitoring LED lighting fixture includes the following steps:
step one: generating a management period, dividing the management period into a plurality of management periods, decomposing video data received in the management periods into image data of one frame by one frame through a video decomposition technology, marking the image data as an analysis image, and transmitting the analysis image of the management period to an image analysis module;
step two: processing and analyzing the analysis image: amplifying an analysis image into a pixel grid image, carrying out gray level transformation to generate a plurality of gray level sets, marking the gray level sets with marking values not smaller than marking threshold values as salient sets, carrying out numerical calculation on gray table values of the salient sets to obtain distribution coefficients FB, and marking the adjustment characteristics of the analysis image as stretching, normal or shrinkage according to the numerical values of the distribution coefficients FB; analyzing the contrast of the analysis image through an image processing technology, so as to provide data support for the self-adaptive adjustment control of the LED lamp according to the contrast analysis result;
step three: adjusting and analyzing the brightness of the LED illumination lamp: acquiring the number of analysis images with the adjustment characteristics of stretching, normal or shrinkage in a management period, performing numerical calculation to obtain an adjustment coefficient TJ, and judging whether the lighting environment is abnormal or not according to the numerical value of the adjustment coefficient TJ; early warning is carried out in time when the external environment is abnormal, so that the problem that the video definition is further reduced due to unordered adjustment of the brightness of the LED lighting lamp when the environment is abnormal is avoided;
step four: when the brightness of the LED illumination lamp needs to be adjusted, the controller is used for adjusting and controlling the output power of the LED illumination lamp; contrast observation is performed when the weakening signal is received, so that the brightness of the lighting lamp can be completely matched with the external environment, and the definition of the monitoring video is further ensured.
When the video monitoring LED lighting lamp with the self-adaptive brightness and wide dynamic range works, a management period is generated, the management period is divided into a plurality of management periods, video data received in the management periods are decomposed into image data of one frame and one frame through a video decomposition technology and marked as analysis images, and the analysis images of the management periods are sent to an image analysis module; processing and analyzing the analysis image: amplifying an analysis image into a pixel grid image, carrying out gray level transformation to generate a plurality of gray level sets, marking the gray level sets with marking values not smaller than marking threshold values as salient sets, carrying out numerical calculation on gray table values of the salient sets to obtain distribution coefficients FB, and marking the adjustment characteristics of the analysis image as stretching, normal or shrinkage according to the numerical values of the distribution coefficients FB; adjusting and analyzing the brightness of the LED illumination lamp: acquiring the number of analysis images with the adjustment characteristics of stretching, normal or shrinkage in a management period, performing numerical calculation to obtain an adjustment coefficient TJ, and judging whether the lighting environment is abnormal or not according to the numerical value of the adjustment coefficient TJ; when the brightness of the LED illumination lamp needs to be adjusted, the controller is used for adjusting and controlling the output power of the LED illumination lamp.
The foregoing is merely illustrative of the structures of this application and various modifications, additions and substitutions for those skilled in the art can be made to the described embodiments without departing from the scope of the application or from the scope of the application as defined in the accompanying claims.
The formulas are all formulas obtained by collecting a large amount of data for software simulation and selecting a formula close to a true value, and coefficients in the formulas are set by a person skilled in the art according to actual conditions; such as: the formula tj=α1|ls-ss|+α2|ls-zc|+α3|ss-zc|; collecting a plurality of groups of sample data by a person skilled in the art and setting a corresponding adjustment coefficient for each group of sample data; substituting the set adjusting coefficient and the acquired sample data into a formula, forming a ternary one-time equation set by any three formulas, screening the calculated coefficient, and taking an average value to obtain values of alpha 1, alpha 2 and alpha 3 which are 3.47, 3.25 and 2.96 respectively;
the size of the coefficient is a specific numerical value obtained by quantizing each parameter, so that the subsequent comparison is convenient, and the size of the coefficient depends on the number of sample data and the corresponding adjustment coefficient is preliminarily set for each group of sample data by a person skilled in the art; as long as the proportional relation between the parameter and the quantized value is not affected.
In the description of the present specification, the descriptions of the terms "one embodiment," "example," "specific example," and the like, mean 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 present application. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the application disclosed above are intended only to assist in the explanation of the application. The preferred embodiments are not intended to be exhaustive or to limit the application to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the application and the practical application, to thereby enable others skilled in the art to best understand and utilize the application. The application is limited only by the claims and the full scope and equivalents thereof.
Claims (2)
1. The brightness self-adaptive wide dynamic range video monitoring LED lighting lamp is characterized by comprising a processor, wherein the processor is in communication connection with a video processing module, an image analysis module, a brightness adjusting module, a storage module and a controller;
the video processing module is used for receiving video data of video monitoring shooting and processing and analyzing: generating a management period, dividing the management period into a plurality of management periods, decomposing video data received in the management periods into image data of one frame by one frame through a video decomposition technology, marking the image data as an analysis image, and transmitting the analysis image of the management period to an image analysis module;
the image analysis module is used for processing and analyzing the received analysis image: amplifying an analysis image into a pixel grid image and carrying out gray level transformation, dividing a gray level range from zero to two hundred fifty five into a plurality of uniform gray level intervals, generating a plurality of gray level sets, wherein the gray level intervals correspond to the gray level sets one by one, marking the average value of two boundary values of the gray level intervals as gray table values of the gray level sets, acquiring a distribution coefficient FB of the analysis image, and marking the adjustment characteristic of the analysis image as stretching, normal or shrinkage according to the numerical value of the distribution coefficient FB; sending the adjustment characteristics of all the analysis images in the management period to a brightness adjustment module;
the brightness adjusting module is used for adjusting and analyzing the brightness of the LED illumination lamp: the method comprises the steps of marking the number of analysis images with the adjustment characteristics of stretching, normal and shrinkage in a management period as a stretching value LS, a normal value ZC and a shrinkage value SS respectively, and obtaining an adjustment coefficient TJ of the management period by carrying out numerical calculation on the stretching value LS, the normal value ZC and the shrinkage value SS; acquiring an adjustment threshold TJmin through a storage module, comparing an adjustment coefficient TJ of a management period with the adjustment threshold TJmin, and judging whether the lighting environment is abnormal or not according to a comparison result;
the controller is used for adjusting and controlling the output power of the LED lighting lamp;
the acquisition process of the distribution coefficient FB comprises the following steps: comparing the gray values of the pixel grids with gray intervals, dividing the pixel grids into corresponding gray sets through a comparison result, marking the number of subsets of the gray sets as marking values of the gray sets, obtaining marking thresholds through a storage module, marking the gray sets with marking values not smaller than the marking thresholds as protruding sets, obtaining gray table values of the protruding sets, establishing gray table sets with gray table values of all the protruding sets, and performing variance calculation on the gray table sets to obtain distribution coefficients FB of analysis images;
specific processes for marking the adjustment features of the analysis image as stretch, normal or shrink include: the distribution threshold values FBmin and FBmax are obtained through the storage module, and the distribution coefficient FB of the analysis image is compared with the distribution threshold values FBmin and FBmax: if FB is less than or equal to FBmin, judging that the image contrast of the analysis object does not meet the requirement, and marking the adjustment characteristic of the analysis image as stretching; if FBmin is smaller than FB and smaller than FBmax, judging that the image contrast of the analysis image meets the requirement, and marking the adjustment characteristic of the analysis image as normal; if FB is larger than or equal to FBmax, judging that the image contrast of the analysis image does not meet the requirement, and marking the adjustment characteristic of the analysis image as shrinkage;
the specific process of comparing the adjustment coefficient TJ of the management period with the adjustment threshold TJmin includes: if TJ is smaller than or equal to TJmin, judging that the illumination environment is abnormal, sending an environment abnormal signal to a processor by a brightness adjusting module, and sending the environment abnormal signal to a mobile phone terminal of a manager after the processor receives the environment abnormal signal; if TJ is greater than TJmax, the stretch value LS, the normal value ZC and the shrinkage value SS are compared in numerical values: if the value of the stretching value LS is the largest, judging that the LED lighting lamp needs to be subjected to brightness adjustment, sending an enhancement signal to a processor by a brightness adjustment module, and sending the enhancement signal to a controller after the processor receives the enhancement signal; if the value of the normal value ZC is the largest, judging that the LED lighting lamp does not need to be subjected to brightness adjustment, sending a maintenance signal to a processor by a brightness adjustment module, and sending the maintenance signal to a controller after the processor receives the maintenance signal; if the value of the shrinkage value SS is the largest, the LED lighting lamp needs to be subjected to brightness adjustment, the brightness adjustment module sends a weakening signal to the processor, and the processor sends the weakening signal to the controller after receiving the weakening signal;
the specific process of the controller for adjusting and controlling the output power of the LED lighting lamp comprises the following steps: the controller does not perform brightness adjustment processing when receiving the maintenance signal; after receiving the enhancement signal, the controller controls the output power of the LED illumination lamp to rise in equal proportion at the beginning time of the next management period, wherein the rising proportion of the output power is L1; the controller receives the weakening signal and then controls the output power of the LED illumination lamp to rise in equal proportion at the beginning time of the next management period, the rising proportion of the output power is L2, the normal value of the next management period is obtained, and if the value of the normal value rises, the brightness adjustment analysis is carried out again at the ending time of the next management period; and if the value of the positive output value is reduced or unchanged, controlling the output power of the LED illumination lamp to be reduced in equal proportion when the controller receives the weakening signal again, wherein the reduction proportion of the output power is L3.
2. The luminance-adaptive wide dynamic range video monitoring LED lighting fixture of claim 1, wherein the luminance-adaptive wide dynamic range video monitoring LED lighting fixture operating method comprises the steps of:
step one: generating a management period, dividing the management period into a plurality of management periods, decomposing video data received in the management periods into image data of one frame by one frame through a video decomposition technology, marking the image data as an analysis image, and transmitting the analysis image of the management period to an image analysis module;
step two: processing and analyzing the analysis image: amplifying an analysis image into a pixel grid image, carrying out gray level transformation to generate a plurality of gray level sets, marking the gray level sets with marking values not smaller than marking threshold values as salient sets, carrying out numerical calculation on gray table values of the salient sets to obtain distribution coefficients FB, and marking the adjustment characteristics of the analysis image as stretching, normal or shrinkage according to the numerical values of the distribution coefficients FB;
step three: adjusting and analyzing the brightness of the LED illumination lamp: acquiring the number of analysis images with the adjustment characteristics of stretching, normal or shrinkage in a management period, performing numerical calculation to obtain an adjustment coefficient TJ, and judging whether the lighting environment is abnormal or not according to the numerical value of the adjustment coefficient TJ;
step four: when the brightness of the LED illumination lamp needs to be adjusted, the controller is used for adjusting and controlling the output power of the LED illumination lamp.
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