CN111210410A - Signal lamp state detection method and device - Google Patents
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Abstract
The application discloses a signal lamp state detection method and a device, wherein the detection method comprises the following steps: acquiring an RGB image of a signal lamp to be detected; determining the position information of the signal lamp to be detected on the RGB image; converting the RGB image from an RGB color space to an HSV color space to obtain an HSV image; extracting HSV parameters from corresponding positions of the HSV images according to the position information; and determining the color information of the signal lamp to be detected according to the HSV parameters. The signal lamp state detection method and the signal lamp state detection device achieve intelligent and unmanned detection of the signal lamp state, achieve real-time monitoring of the running state of equipment where the signal lamp is located on the basis of the intelligent and unmanned detection, improve detection efficiency and accuracy, and save labor cost.
Description
Technical Field
The present disclosure relates to the field of device operating state detection, and in particular, to a method and an apparatus for detecting a signal lamp state.
Background
At present, most of equipment in the market, especially electronic equipment, are provided with signal lamps for displaying the working states of the equipment, the external world can detect the running working states of related equipment through the color change and the on-off state of the signal lamps, and in real life, large and complex equipment such as servers in machine rooms and precision machining equipment in factories are often provided with a large number of signal lamps.
The inventor of the application finds that the traditional signal lamp detection usually adopts a manual detection method, the manual detection efficiency is low and the accuracy rate cannot be guaranteed when the number of signal lamps to be detected is large, and much inconvenience is brought to operation management personnel of equipment.
Disclosure of Invention
The technical problem mainly solved by the application is to provide a signal lamp state detection method and device, intelligent and unmanned detection of the signal lamp state is achieved, detection efficiency and accuracy are improved, and labor cost is saved.
In order to solve the technical problem, the application adopts a technical scheme that: a method for detecting the state of a signal lamp is provided, and the method comprises the following steps: acquiring an RGB image of a signal lamp to be detected; determining the position information of the signal lamp to be detected on the RGB image; converting the RGB image from an RGB color space to an HSV color space to obtain an HSV image; extracting HSV parameters from corresponding positions of the HSV images according to the position information; and determining the color information of the signal lamp to be detected according to the HSV parameters.
In order to solve the above technical problem, another technical solution adopted by the present application is: there is provided a state detecting device of a signal lamp, the device including: the system comprises a camera, a processor, a memory, an alarm and a connector, wherein the processor is respectively coupled with the camera, the memory, the alarm and the connector, and the processor realizes the steps of any one of the signal lamp state detection methods by executing program data in the memory.
In order to solve the above technical problem, another technical solution adopted by the present application is: there is provided a device having a storage function, the storage device storing program data executable by the processor to implement the steps of any of the above-described methods of detecting a status of a signal lamp.
The beneficial effect of this application is: the signal lamp state detection method and the signal lamp state detection device confirm the position information of the signal lamp to be detected on the image to be detected by acquiring the image to be detected of the signal lamp to be detected, convert the image to be detected into HSV color space, and determine the color information of the corresponding position on the obtained HSV image, so that the color information of the signal lamp to be detected of the corresponding position can be confirmed, and the detection of the signal lamp state can be realized based on the color information.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Wherein:
FIG. 1 is a flowchart illustrating steps of an embodiment of a method for detecting a status of a signal lamp according to the present application;
FIG. 2 is a flowchart illustrating an embodiment of step S1200 of FIG. 1;
FIG. 3 is a diagram illustrating an apparatus configuration of an embodiment of a traffic light status detecting apparatus according to the present application;
fig. 4 is a device configuration diagram of an embodiment of a memory portion of the signal lamp status detecting device in fig. 3.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all 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 application.
Referring to fig. 1, fig. 1 is a flowchart illustrating steps of an embodiment of a method for detecting a status of a signal lamp according to the present application, where the method includes the steps of:
s1100: and acquiring an RGB image of the signal lamp to be detected.
The signal lamp comprises an LED lamp, the RGB image is an image containing all signal lamps to be detected, the RGB color mode is adopted for the image of the signal lamp to be detected, the RGB color space is composed of three color channels of red (R), green (G) and blue (B), the RGB color space almost comprises all colors which can be sensed by human vision, and the images shot by the shooting tool used daily are RGB images.
S1200: and determining the position information of the signal lamp to be detected on the RGB image.
Referring to fig. 2, fig. 2 is a flowchart illustrating steps of an embodiment of step S1200 in fig. 1, where the method includes the steps of:
s1210: and judging whether a sample image exists or not.
Wherein, the sample image is shot in advance and calibrated in advance before detection. The RGB color mode can be adopted in the shooting process, the image to be detected and the sample image are shot in the same working environment, and the position information of the signal lamp to be detected is marked in the sample image in advance.
If the sample image exists, step S1220 is executed.
S1220: and carrying out distortion correction, characteristic point identification, characteristic point matching and optimal matching pair screening on the RGB image of the signal lamp to be detected and the sample image.
The purpose of distortion correction of the RGB image and the sample image of the signal lamp to be detected is that the lens of the camera is often distorted in the imaging process, so that the shot image has optical distortion to a certain degree, and the distortion correction of the RGB image and the sample image of the signal lamp to be detected can obviously reduce the influence of the optical distortion on the true value of the image, so that the subsequent operation result is more accurate and reliable.
In an embodiment, the feature point matching method is violence matching, and the specific operation of violence matching is to calculate distances between a certain feature point descriptor and all other feature point descriptors, then sort the obtained distances, and take the closest one as a matching point. Since a large number of mismatching occurs when violent matching is used, the optimal matching pair screening operation is required after the violent matching of the feature points is performed, and the condition for screening the optimal matching pair in a specific application scene is that the minimum distance between matching pair values is 0.35 times of the maximum value of the matching distance. Of course, in other embodiments, other matching manners may be adopted for the feature point matching operation, such as cross matching, neighbor matching, and the like, and the screening condition of the screening operation for the best matching after the violent matching may also be adjusted according to the actual situation, which is not specifically limited herein.
S1221: and determining the mapping relation between the RGB image and the sample image according to the screened optimal matching pair.
In an embodiment, the above-mentioned determining the mapping relationship between the RGB image and the sample image may be understood as determining the corresponding relationship between the RGB image and the sample image, even though the position of each fixed point on the RGB image may correspond to the position of another fixed point on the sample image. The purpose of this step is: in actual operation, when the camera shoots the RGB image of the signal lamp picture to be detected, the RGB image and the sample image are not in the same view plane due to different shooting angles, at the moment, the position information of the signal lamp on the RGB image can not be directly determined according to the position information of the signal lamp on the sample image, the RGB image can be converted into the view plane of the sample image through the operation of determining the mapping relation, so that the position of each point on the RGB image can correspond to the sample image, and the corresponding position information on the RGB image can be determined according to the position information on the sample image.
S1222: and converting the position information of the signal lamp to be detected on the sample image into the position information on the RGB image according to the mapping relation.
In an embodiment, the specific operation of determining the location information includes: establishing a coordinate system on the sample image and the RGB image, determining the position coordinates of the signal lamp on the sample image in the coordinate system, and converting the position coordinates of the signal lamp on the sample image coordinate system into the corresponding coordinate position on the RGB image coordinate system according to the mapping relation, thereby determining the position information of the signal lamp on the RGB image.
If no sample image exists, step S1230 is executed.
S1230: and converting the RGB image of the signal lamp to be detected from the RGB color space to the LAB color space to obtain the LAB image.
The LAB color space consists of three elements, namely brightness (L), a first color component (A) and a second color component (B), and the LAB color space has the most defined colors and is independent of light and equipment. The conversion of the RGB image into the LAB image can largely exclude the influence of different ambient light conditions or different shooting devices on the subsequent operation of determining the position information of the traffic light on the image.
S1231: marking positions of the LAB image, of which the pixel values meet preset signal lamp extraction conditions, setting the positions meeting the signal lamp extraction conditions to be first pixel values, and setting the positions not meeting the signal lamp extraction conditions to be second pixel values.
In one embodiment, the LAB color space luminance component (L) ranges from 59 to 100, the first color component (a) ranges from-128 to-48 or 52 to 127, the second color component (B) ranges from-128 to-48 or 52 to 127, the first pixel value is 255, the second pixel value is 0, and the first pixel value and the second pixel value are 255 and 0, respectively, for the purpose of: making the color contrast between the first pixel value and the second pixel value stronger facilitates distinguishing the first pixel value from the second pixel value, thereby better determining the distribution information of the first pixel value and the second pixel value in the LAB image.
S1232: and obtaining the position information of the signal lamp to be detected on the RGB image according to the distribution information of the first pixel value and the second pixel value on the LAB image.
In an embodiment, the distribution information of the first pixel value on the LAB image is position information of the signal lamp to be detected, the distribution information of the second pixel value is background distribution information in the LAB image, the position information of the first pixel value on the RGB image corresponding to the LAB image can be determined by determining the distribution information of the first pixel value and the second pixel value on the LAB image and according to a corresponding relationship between the LAB image and the RGB image, and the position information of the first pixel value on the RGB image is position information of the signal lamp to be detected on the RGB image.
With continuing reference to fig. 1, the steps after S1200 in fig. 1 further include:
s1300: and converting the RGB image from the RGB color space to the HSV color space to obtain the HSV image.
The HSV color space comprises the following color parameters: the hue (H), the saturation (S), the lightness (V) and the HSV color space are used for decomposing the brightness from the hue, the hue is usually used in an image enhancement algorithm, the RGB image is converted from the RGB color space to the HSV color space, the color of the image can be better sensed, the specified color is segmented, the HSV component is used for extracting the region of the specified color from the HSV image, and the region is the position of the signal lamp to be detected corresponding to the RGB image.
S1400: and extracting HSV parameters from the corresponding positions of the HSV images according to the position information.
The corresponding position of the HSV image is the position of the signal lamp to be detected on the RGB image determined in the step S1200, and the method includes two embodiments of determining the position information according to the mapping relationship between the sample image and the RGB image, converting the RGB image into the LAB image, and extracting the first pixel value and the second pixel value from the LAB image to determine the position information. The HSV parameters here include: a color parameter (H) representing color information, i.e. the position of the spectral color in which it is located, the parameter being represented by an angular measure, red, green and blue being separated by 120 degrees, respectively; a saturation parameter (S), the saturation parameter being a proportional value ranging from 0 to 1, expressed as the ratio between the purity of the selected color and the maximum purity of the color; the brightness parameter (V) represents the brightness degree of the color, the range is from 0 to 1, the brightness parameter and the light intensity are not directly related, the HSV color space is an intuitive color model for a user, and the color information can be expressed by using the HSV parameter to more accurately define the color of the signal lamp to be detected.
S1500: and determining the color information of the signal lamp to be detected according to the HSV parameters.
The specific steps of using HSV parameters to determine color information in this embodiment are: the HSV parameters are matched with the HSV parameters of the signal lamp stored in the preset database, so that the color information of the signal lamp to be detected is determined, the preset database storing the HSV parameter information of the signal lamp is arranged, the calculation required when the color information of the signal lamp to be detected is determined can be reduced, and the detection speed and efficiency are improved. In other embodiments, the preset database may set the number of HSV parameters in the database according to actual situations, that is, according to how many colors of signal lamps actually exist, which is not specifically limited herein.
In an embodiment, the working state of the electronic device corresponding to the signal lamp to be detected can be further determined according to the color information of the signal lamp to be detected determined in the step S1500, and an alarm signal is generated when the electronic device is in an abnormal state to remind relevant device maintenance personnel to perform corresponding processing, so that intelligent and unmanned real-time monitoring of the working state of the electronic device is realized.
It is to be noted that the above-described manner of determining the position information of the signal lamp to be detected based on the sample image and based on the LAB image may be used separately. Generally, for scenes with complex backgrounds, the position information of the signal lamp to be detected can be determined in a sample image mode. And for a scene with a relatively simple background, determining the position information of the signal lamp to be detected in an LAB image mode.
Referring to fig. 3, fig. 3 is a device structure diagram of an embodiment of the signal lamp status detecting device of the present application, the device structure including: the camera 2000, the processor 2100, the memory 2200, the alarm 2300 and the connector 2400, wherein the processor 2100 is respectively coupled to the camera 2000, the memory 2200, the alarm 2300 and the connector 2400, and the processor 2100 implements any one of the steps of the signal lamp state detection method by executing the program data in the memory 2200.
In a specific application scenario, the signal lamp status detection device is disposed in a server room of a data center, a plurality of signal lamp status detection devices are connected to a server room monitoring network through a connector 2400, each detection device is responsible for detecting the operation status of equipment in a certain spatial range of the server room in real time, the device acquires RGB images of signal lamps to be detected on the equipment monitored by the device through a camera 2000, inputs the RGB image information into a memory 2200, the processor 2100 processes the RGB image information by executing program data in the memory 2200 to realize any one of the steps of the signal lamp status detection method, determines color information of the signal lamps to be detected in the RGB images, and determines the operation status of the server equipment where the signal lamps to be detected are located according to the color information of the signal lamps to be detected, when the server equipment is abnormally operated, the detection equipment generates an alarm signal through the alarm 2300 to remind background maintenance personnel of the server room, wherein the alarm signal generated by the alarm 2300 can be a sound signal, such as an alarm bell, or a wireless signal, such as sending information of the abnormal operation of the server equipment to electronic communication equipment, such as a mobile phone, a tablet personal computer and the like, of the background maintenance personnel of the server room through a wireless network.
In another specific application scenario, the signal lamp state detection device is arranged in a large scientific laboratory, multiple interconnected precise experimental devices are often required in a modern laboratory when complex experiments are performed, and one experimental period may last for days or even months. In the application scenario, a plurality of signal lamp state detection devices are connected to a laboratory monitoring network through a connector 2400, each detection device is responsible for detecting the running state of a certain experimental device in a laboratory in real time, the device acquires an RGB image of a signal lamp to be detected on the experimental device monitored by the device through a camera 2000, the RGB image information is input into a memory 2200, a processor 2100 processes the RGB image information by executing program data in the memory 2200 so as to realize any one of the steps of the signal lamp state detection method, determines color information of the signal lamp to be detected in the RGB image, determines the running state of the experimental device where the signal lamp to be detected is located according to the color information of the signal lamp to be detected, and when the experimental device runs abnormally, the detection device generates an alarm signal through an alarm 2300 to remind a laboratory technician, the alarm signal generated by the alarm 2300 may be a sound signal, such as an alarm bell, or a wireless signal, such as sending the information of the abnormal operation of the experimental device to the electronic communication devices such as the mobile phone and the tablet computer of the experimenter through the wireless network.
Referring to fig. 4, fig. 4 is a device structure diagram of an embodiment of a memory portion of the signal lamp status detecting device in fig. 3.
The storage means 2200 stores program data 2210, the program data 2210 being executable by the processor for implementing the steps of any of the above-described methods of detecting the state of a signal lamp. Preferably, the storage device 2200 can store the color parameter information of all color types of the signal lamp to be detected in RGB, LAB, and HSV color spaces according to actual situations, so as to improve the efficiency and accuracy of color information detection.
In summary, the method and the device provided by the application can confirm the position information of the signal lamp to be detected on the image to be detected by acquiring the image to be detected of the signal lamp to be detected, convert the image to be detected into the HSV color space, and determine the color information of the corresponding position on the obtained HSV image, so that the color information of the signal lamp to be detected at the corresponding position can be confirmed, and the detection of the state of the signal lamp can be realized based on the color information.
The above description is only for the purpose of illustrating embodiments of the present application and is not intended to limit the scope of the present application, and all modifications of equivalent structures and equivalent processes, which are made by the contents of the specification and the drawings of the present application or are directly or indirectly applied to other related technical fields, are also included in the scope of the present application.
Claims (10)
1. A method for signal lamp condition detection, the method comprising:
acquiring an RGB image of a signal lamp to be detected;
determining the position information of the signal lamp to be detected on the RGB image;
converting the RGB image from an RGB color space to an HSV color space to obtain an HSV image;
extracting HSV parameters from corresponding positions of the HSV images according to the position information;
and determining the color information of the signal lamp to be detected according to the HSV parameters.
2. The method according to claim 1, wherein the step of determining the position information of the signal lamp to be detected on the RGB image comprises:
converting the RGB image from an RGB color space to an LAB color space to obtain an LAB image;
and marking the position of the LAB image, of which the pixel value meets the preset signal lamp extraction condition, as the position information of the signal lamp to be detected on the RGB image.
3. The method according to claim 2, wherein the step of marking positions in the LAB image where pixel values meet a preset signal light extraction condition comprises:
setting a position satisfying the signal light extraction condition to a first pixel value, and setting a position not satisfying the signal light extraction condition to a second pixel value.
4. The method of claim 2, wherein the step of extracting HSV parameters from corresponding locations of the HSV image according to the location information comprises:
and extracting HSV parameters from corresponding positions of the HSV images according to the positions marked on the LAB images.
5. The method of claim 1, wherein the step of determining the position information of the LED lamp on the RGB image comprises:
acquiring a sample image, wherein the sample image is marked with the position information of the signal lamp to be detected in advance;
determining a mapping relation between the RGB image and the sample image;
and converting the position information of the signal lamp to be detected on the sample image into the position information on the RGB image according to the mapping relation.
6. The method of claim 5, wherein the step of determining the mapping relationship between the RGB image and the sample image comprises:
distortion correction, feature point identification, feature point matching and optimal matching pair screening are carried out on the RGB image and the sample image;
and determining the mapping relation between the RGB image and the sample image according to the screened optimal matching pair.
7. The method of claim 5, wherein the step of obtaining the sample image is preceded by the step of:
determining whether the sample image is present;
if the sample image exists, executing the step of obtaining the sample image;
if the sample image does not exist, then:
converting the RGB image from an RGB color space to an LAB color space to obtain an LAB image;
and marking the position of the LAB image, of which the pixel value meets the preset signal lamp extraction condition, as the position information of the signal lamp to be detected on the RGB image.
8. The method of claim 1, further comprising:
and determining the working state of the electronic equipment corresponding to the signal lamp to be detected according to the color information of the signal lamp to be detected, and generating an alarm signal when the electronic equipment is in an abnormal state.
9. A signal lamp condition detection apparatus, the apparatus comprising: a camera, a processor, a memory, an alarm, and a connector, wherein the processor is respectively coupled to the camera, the memory, the alarm, and the connector, and the processor implements the steps of the method according to any one of claims 1 to 8 by executing program data in the memory.
10. An apparatus having a memory function, characterized in that program data are stored, which program data can be executed by the processor to carry out the steps of the method according to any of claims 1-8.
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