CN110930740A - Traffic light - Google Patents
Traffic light Download PDFInfo
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- CN110930740A CN110930740A CN201911079258.4A CN201911079258A CN110930740A CN 110930740 A CN110930740 A CN 110930740A CN 201911079258 A CN201911079258 A CN 201911079258A CN 110930740 A CN110930740 A CN 110930740A
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/095—Traffic lights
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/11—Region-based segmentation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/136—Segmentation; Edge detection involving thresholding
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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
- G06V20/54—Surveillance or monitoring of activities, e.g. for recognising suspicious objects of traffic, e.g. cars on the road, trains or boats
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/60—Type of objects
- G06V20/62—Text, e.g. of license plates, overlay texts or captions on TV images
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20021—Dividing image into blocks, subimages or windows
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20024—Filtering details
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30236—Traffic on road, railway or crossing
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/60—Type of objects
- G06V20/62—Text, e.g. of license plates, overlay texts or captions on TV images
- G06V20/625—License plates
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- Engineering & Computer Science (AREA)
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- General Physics & Mathematics (AREA)
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- Computer Vision & Pattern Recognition (AREA)
- Traffic Control Systems (AREA)
Abstract
The invention provides a traffic light, comprising: the signal lamp comprises a base, a support rod and a signal lamp body, wherein the support rod and the signal lamp body are installed on the base; and an electronic display screen is also arranged on the supporting rod. The traffic light is provided with the electronic display screen which can display the information of the construction road ahead in time, and a driver can know whether the construction road section exists ahead in advance so as to plan the driving route in time.
Description
Technical Field
The invention relates to a traffic light.
Background
The traffic lights are also called traffic lights, which are traffic lights that are generally composed of red lights, green lights and yellow lights. The traffic lights are internationally unified traffic lights, the red light represents no traffic, the green light represents permission, and the yellow light represents warning. Urban roads often need to be maintained in a road sealing mode, the use functionality of some existing traffic lights is still required to be improved, and the information of some construction roads in the front cannot be displayed, so that a driver cannot timely and effectively know the construction road sections in the front, and a driving route can be planned in time.
Disclosure of Invention
Technical problem to be solved
The invention aims to provide a traffic light which is provided with an electronic display screen, can display the information of a construction road ahead in time and can supply power through a solar panel.
(II) technical scheme
In order to solve the above technical problem, the present invention provides a traffic light, comprising: the signal lamp comprises a base, a support rod and a signal lamp body, wherein the support rod and the signal lamp body are installed on the base; and an electronic display screen is also arranged on the supporting rod. The traffic light is provided with the electronic display screen and can display the construction road information in the front in time, and a driver can know whether a construction road section exists in the front in advance so as to plan a driving route in time.
The electric vehicle is convenient and cheap, is deeply loved by people, particularly in the occupations such as takeaway and express delivery, can be a target for the electric vehicle to live, but the entrance threshold for the electric vehicle to run is low, so that a plurality of people gradually change the electric vehicle into illegal and rushing words. Various traffic accidents caused by the electric vehicle are also increasingly raised. In order to effectively maintain road traffic order, prevent and reduce road traffic accidents and ensure the travel safety of people, necessary regulation on the running of electric vehicles is needed, especially necessary card-selling treatment is carried out on the electric vehicles, the illegal driving of the electric vehicles without cards is avoided, and the lucky psychology exists. Therefore, the unlicensed electric vehicles on the roads must be practically and effectively monitored, and information of the unlicensed electric vehicles is sent to related traffic departments; therefore, the traffic light of the technical scheme further comprises:
the instant shooting unit is arranged on the transverse supporting rod and used for shooting images of the road where the traffic lights are located so as to obtain and output a road shooting image; the instant shooting unit comprises a brightness measuring instrument, an auxiliary light source, an image sensor and a content analyzer, wherein the brightness measuring instrument is used for measuring an ambient brightness mean value in a preset time interval, the auxiliary light source is connected with the brightness measuring instrument and used for receiving the ambient brightness mean value and determining whether to emit auxiliary light or not based on the ambient brightness mean value, the image sensor is used for obtaining and outputting a road shooting image, and the content analyzer is connected with the image sensor and used for receiving the road shooting image output by the image sensor and analyzing the following contents of the road shooting image: detecting each edge line in the road shot image, and determining whether to send out a blurring alarm signal according to the distribution uniformity of each edge line in the road shot image;
the block processing unit is used for receiving the road shot image, determining the blurring degree of the road shot image, and performing block processing on the road shot image based on the blurring degree of the road shot image to obtain a plurality of image blocks with the same size, wherein the smaller the blurring degree of the road shot image is, the more the number of the image blocks obtained by performing block processing on the road shot image is;
a threshold analyzing unit, connected to the block processing unit, configured to receive the multiple image blocks, and execute the following processing on each image block: acquiring a binarization threshold of the image blocks based on an OTSU algorithm, acquiring each binarization threshold of each image block in the neighborhood of the image blocks based on the OTSU algorithm, adjusting the binarization thresholds of the image blocks based on each binarization threshold of each image block in the neighborhood of the image blocks to obtain adjusted thresholds of the image blocks, and outputting the adjusted thresholds of the image blocks;
a binarization processing unit connected with the threshold value analysis unit and used for receiving the plurality of image blocks and the adjusted threshold value corresponding to each image block, performing binarization processing on the image blocks based on the adjusted threshold value corresponding to each image block to obtain binarization blocks, and outputting each binarization block corresponding to each image block;
the merging processing unit is connected with the binarization processing unit and used for receiving each binarization partition, merging each binarization partition, performing edge fusion on the merged image to obtain a fused image and outputting the fused image as a binarization image;
the self-adaptive high-frequency analysis unit is connected with the merging processing unit and used for receiving the binary image, measuring the contrast of the binary image to obtain the real-time contrast corresponding to the binary image, and determining the corresponding high-frequency distribution frequency band in the binary image based on the real-time contrast to output the high-frequency distribution frequency band as a target frequency band;
an image differentiation unit, connected to the frequency band extraction unit and the contrast measurement unit, respectively, and configured to receive the target frequency band and the binarized image, perform high-pass filtering processing based on the target frequency band on the binarized image, to obtain a corresponding high-pass filtered image, and output the high-pass filtered image;
a difference value obtaining unit, connected to the image differentiation unit, for obtaining the binarized image and the high-pass filtered image, and further for subtracting the high-pass filtered image from the binarized image pixel by pixel to obtain a corresponding difference value processed image, and outputting the difference value processed image;
the targeted processing unit is respectively connected with the difference value acquisition unit and the image differentiation unit, and is used for receiving the high-pass filtering image and the difference value processing image, performing feature enhancement processing on the high-pass filtering image to obtain and output a corresponding feature enhanced image, and adding the feature enhanced image and the difference value processing image pixel by pixel to obtain a corresponding reconstructed image and outputting the reconstructed image;
the electric vehicle license plate missing identification unit is connected with the targeted processing unit and used for receiving the reconstructed image, carrying out electric vehicle body identification on the reconstructed image based on the preset electric vehicle body appearance so as to obtain one or more electric vehicle body areas in the reconstructed image, carrying out license plate detection on each electric vehicle body area, and sending out electric vehicle license plate missing information when the electric vehicle body areas without the detected license plates exist;
the license plate missing identification unit is connected with the electric vehicle license plate missing identification unit and sends information to a remote transportation department after receiving the license plate missing information of the electric vehicle;
in the license plate missing identification unit, the license plate detection of each electric vehicle body area comprises the following steps: in the electric vehicle body area, all pixel points with yellow color components more than or equal to a preset component threshold value are combined into a license plate sub-area, and when OCR recognition in the license plate sub-area fails, it is determined that no license plate is detected in the electric vehicle body area.
Further, in the threshold analyzing unit, adjusting the binarization threshold of the image block based on each binarization threshold of each image block in the neighborhood of the image block to obtain an adjusted threshold of the image block includes: the higher the matching degree of the image block neighborhood image block and the image block is, the greater the influence degree of the image block neighborhood image block on the binarization threshold value of the image block is.
Further, in the content analyzer, determining whether to send out a blurring alarm signal according to the degree of uniformity of distribution of each edge line in the road captured image includes: and when the distribution uniformity of each edge line in the road shot image exceeds the limit, sending a blurring alarm signal.
Further, the instant shooting unit further comprises an LED lamp, wherein the LED lamp is connected with the content analyzer and used for emitting red light at a preset flashing frequency when receiving the blurring alarm signal; and after the auxiliary light source further determines to emit auxiliary light, determining the intensity of the emitted auxiliary light according to the size of the ambient brightness mean value, wherein the intensity of the emitted auxiliary light is smaller when the ambient brightness mean value is larger.
Further, the LED lamp is also used for not carrying out any flashing operation when the blurring alarm signal is not received.
(III) advantageous effects
The traffic light is provided with the electronic display screen which can display the information of the construction road ahead in time, and a driver can know whether the construction road section exists ahead in advance so as to plan the driving route in time.
Drawings
FIG. 1 is a schematic view of a traffic light according to the present invention;
wherein: 1 is the base, 2 is the bracing piece, 3 is the signal lamp body, 4 is horizontal branch, 5 is solar panel, 6 is electronic display screen.
Detailed Description
Referring to fig. 1, the present invention provides a traffic light, including: the signal lamp comprises a base 1, a support rod 2 and a signal lamp body 3, wherein the support rod 2 and the signal lamp body 3 are installed on the base 1, a transverse support rod 4 is arranged at the top of the support rod 2, the signal lamp body 3 is installed at the end part of the transverse support rod 4, a solar panel 5 is installed at the upper end of the transverse support rod 4, and the solar panel 5 is connected with the signal lamp body 3; an electronic display screen 6 is further mounted on the support rod 2. The traffic light of the embodiment is provided with the electronic display screen which can display the front construction road information in time, and a driver can know whether a construction road section exists in the front in advance so as to plan a driving route in time.
The convenience and the low price of the electric vehicle are deeply loved by people, particularly, the electric vehicle is taken out of business, the electric vehicle for the profession of express delivery can be the object which the electric vehicle thinks is living, and if the electric vehicle is low in the entrance threshold for driving, a plurality of people gradually turn the electric vehicle into illegal and rushing words. Various traffic accidents caused by the electric vehicle are raised day by day. In order to effectively maintain road traffic order, prevent and reduce road traffic accidents and ensure the travel safety of people, necessary regulation on the running of electric vehicles is needed, especially necessary card-selling treatment is carried out on the electric vehicles, the illegal driving of the electric vehicles without cards is avoided, and the lucky psychology exists. Therefore, the unlicensed electric vehicles on the roads must be practically and effectively monitored, and information of the unlicensed electric vehicles is sent to related traffic departments; therefore, the traffic light of the embodiment further includes:
the instant shooting unit is arranged on the transverse supporting rod 4 and is used for shooting images of the road where the traffic light is located so as to obtain and output a road shooting image; the instant shooting unit comprises a brightness measuring instrument, an auxiliary light source, an image sensor and a content analyzer, wherein the brightness measuring instrument is used for measuring an ambient brightness mean value in a preset time interval, the auxiliary light source is connected with the brightness measuring instrument and used for receiving the ambient brightness mean value and determining whether to emit auxiliary light or not based on the ambient brightness mean value, the image sensor is used for obtaining and outputting a road shooting image, and the content analyzer is connected with the image sensor and used for receiving the road shooting image output by the image sensor and analyzing the following contents of the road shooting image: detecting each edge line in the road shot image, and determining whether to send out a blurring alarm signal according to the distribution uniformity of each edge line in the road shot image;
the block processing unit is used for receiving the road shot image, determining the blurring degree of the road shot image, and performing block processing on the road shot image based on the blurring degree of the road shot image to obtain a plurality of image blocks with the same size, wherein the smaller the blurring degree of the road shot image is, the more the number of the image blocks obtained by performing block processing on the road shot image is;
a threshold analyzing unit, connected to the block processing unit, configured to receive the multiple image blocks, and execute the following processing on each image block: acquiring a binarization threshold of the image blocks based on an OTSU algorithm, acquiring each binarization threshold of each image block in the neighborhood of the image blocks based on the OTSU algorithm, adjusting the binarization thresholds of the image blocks based on each binarization threshold of each image block in the neighborhood of the image blocks to obtain adjusted thresholds of the image blocks, and outputting the adjusted thresholds of the image blocks;
a binarization processing unit connected with the threshold value analysis unit and used for receiving the plurality of image blocks and the adjusted threshold value corresponding to each image block, performing binarization processing on the image blocks based on the adjusted threshold value corresponding to each image block to obtain binarization blocks, and outputting each binarization block corresponding to each image block;
the merging processing unit is connected with the binarization processing unit and used for receiving each binarization partition, merging each binarization partition, performing edge fusion on the merged image to obtain a fused image and outputting the fused image as a binarization image;
the self-adaptive high-frequency analysis unit is connected with the merging processing unit and used for receiving the binary image, measuring the contrast of the binary image to obtain the real-time contrast corresponding to the binary image, and determining the corresponding high-frequency distribution frequency band in the binary image based on the real-time contrast to output the high-frequency distribution frequency band as a target frequency band;
an image differentiation unit, connected to the frequency band extraction unit and the contrast measurement unit, respectively, and configured to receive the target frequency band and the binarized image, perform high-pass filtering processing based on the target frequency band on the binarized image, to obtain a corresponding high-pass filtered image, and output the high-pass filtered image;
a difference value obtaining unit, connected to the image differentiation unit, for obtaining the binarized image and the high-pass filtered image, and further for subtracting the high-pass filtered image from the binarized image pixel by pixel to obtain a corresponding difference value processed image, and outputting the difference value processed image;
the targeted processing unit is respectively connected with the difference value acquisition unit and the image differentiation unit, and is used for receiving the high-pass filtering image and the difference value processing image, performing feature enhancement processing on the high-pass filtering image to obtain and output a corresponding feature enhanced image, and adding the feature enhanced image and the difference value processing image pixel by pixel to obtain a corresponding reconstructed image and outputting the reconstructed image;
the electric vehicle license plate missing identification unit is connected with the targeted processing unit and used for receiving the reconstructed image, carrying out electric vehicle body identification on the reconstructed image based on the preset electric vehicle body appearance so as to obtain one or more electric vehicle body areas in the reconstructed image, carrying out license plate detection on each electric vehicle body area, and sending out electric vehicle license plate missing information when the electric vehicle body areas without the detected license plates exist;
the license plate missing identification unit is connected with the electric vehicle license plate missing identification unit and sends information to a remote transportation department after receiving the license plate missing information of the electric vehicle;
in the license plate missing identification unit, the license plate detection of each electric vehicle body area comprises the following steps: in the electric vehicle body area, all pixel points with yellow color components more than or equal to a preset component threshold value are combined into a license plate sub-area, and when OCR recognition in the license plate sub-area fails, it is determined that no license plate is detected in the electric vehicle body area.
In the threshold analysis unit, adjusting the binarization threshold of the image block based on each binarization threshold of each image block in the image block neighborhood to obtain an adjusted threshold of the image block includes: the higher the matching degree of the image block neighborhood image block and the image block is, the greater the influence degree of the image block neighborhood image block on the binarization threshold value of the image block is.
In the content analyzer, determining whether to send a blurring alarm signal according to the degree of uniformity of distribution of the edge lines in the road captured image includes: and when the distribution uniformity of each edge line in the road shot image exceeds the limit, sending a blurring alarm signal.
The instant shooting unit further comprises an LED lamp, the LED lamp is connected with the content analyzer and used for emitting red light at a preset flashing frequency when the blurring alarm signal is received; and after the auxiliary light source further determines to emit auxiliary light, determining the intensity of the emitted auxiliary light according to the size of the ambient brightness mean value, wherein the intensity of the emitted auxiliary light is smaller when the ambient brightness mean value is larger.
The LED lamp is also used for not carrying out any flashing operation when the blurring alarm signal is not received.
The traffic light has the function of monitoring the unlicensed electric vehicles, can transmit the missing information of the license plates of the electric vehicles to a remote traffic department, and has high intelligent degree; performing uniform blocking processing on the image according to the corresponding size based on the fuzzy degree of the image, and adjusting the threshold value of each image block based on the threshold value of the image block in the neighborhood thereof, thereby improving the precision of image binaryzation; a self-adaptive image sharpening processing mode is adopted, so that the image sharpening effect is ensured; and detecting the blurring degree of the image output by the shooting unit in real time so as to perform corresponding alarm operation when blurring is excessive.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the technical principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.
Claims (7)
1. A traffic light, comprising: the signal lamp comprises a base (1), and a support rod (2) and a signal lamp body (3) which are installed on the base (1), wherein a transverse support rod (4) is arranged at the top of the support rod (2), the signal lamp body (3) is installed at the end part of the transverse support rod (4), a solar panel (5) is installed at the upper end of the transverse support rod (4), and the solar panel (5) is connected with the signal lamp body (3); and an electronic display screen (6) is also arranged on the support rod (2).
2. The traffic light of claim 1, further comprising:
the instant shooting unit is arranged on the transverse supporting rod (4) and is used for shooting images of the road where the traffic light is located so as to obtain and output a road shooting image; the instant shooting unit comprises a brightness measuring instrument, an auxiliary light source, an image sensor and a content analyzer, wherein the brightness measuring instrument is used for measuring an ambient brightness mean value in a preset time interval, the auxiliary light source is connected with the brightness measuring instrument and used for receiving the ambient brightness mean value and determining whether to emit auxiliary light or not based on the ambient brightness mean value, the image sensor is used for obtaining and outputting a road shooting image, and the content analyzer is connected with the image sensor and used for receiving the road shooting image output by the image sensor and analyzing the following contents of the road shooting image: and detecting each edge line in the road shot image, and determining whether to send out a blurring alarm signal according to the distribution uniformity of each edge line in the road shot image.
3. A traffic light according to claim 2, further comprising:
the block processing unit is used for receiving the road shot image, determining the blurring degree of the road shot image, and performing block processing on the road shot image based on the blurring degree of the road shot image to obtain a plurality of image blocks with the same size, wherein the smaller the blurring degree of the road shot image is, the more the number of the image blocks obtained by performing block processing on the road shot image is;
a threshold analyzing unit, connected to the block processing unit, configured to receive the multiple image blocks, and execute the following processing on each image block: acquiring a binarization threshold of the image blocks based on an OTSU algorithm, acquiring each binarization threshold of each image block in the neighborhood of the image blocks based on the OTSU algorithm, adjusting the binarization thresholds of the image blocks based on each binarization threshold of each image block in the neighborhood of the image blocks to obtain adjusted thresholds of the image blocks, and outputting the adjusted thresholds of the image blocks;
a binarization processing unit connected with the threshold value analysis unit and used for receiving the plurality of image blocks and the adjusted threshold value corresponding to each image block, performing binarization processing on the image blocks based on the adjusted threshold value corresponding to each image block to obtain binarization blocks, and outputting each binarization block corresponding to each image block;
the merging processing unit is connected with the binarization processing unit and used for receiving each binarization partition, merging each binarization partition, performing edge fusion on the merged image to obtain a fused image and outputting the fused image as a binarization image;
the self-adaptive high-frequency analysis unit is connected with the merging processing unit and used for receiving the binary image, measuring the contrast of the binary image to obtain the real-time contrast corresponding to the binary image, and determining the corresponding high-frequency distribution frequency band in the binary image based on the real-time contrast to output the high-frequency distribution frequency band as a target frequency band;
an image differentiation unit, connected to the frequency band extraction unit and the contrast measurement unit, respectively, and configured to receive the target frequency band and the binarized image, perform high-pass filtering processing based on the target frequency band on the binarized image, to obtain a corresponding high-pass filtered image, and output the high-pass filtered image;
a difference value obtaining unit, connected to the image differentiation unit, for obtaining the binarized image and the high-pass filtered image, and further for subtracting the high-pass filtered image from the binarized image pixel by pixel to obtain a corresponding difference value processed image, and outputting the difference value processed image;
the targeted processing unit is respectively connected with the difference value acquisition unit and the image differentiation unit, and is used for receiving the high-pass filtering image and the difference value processing image, performing feature enhancement processing on the high-pass filtering image to obtain and output a corresponding feature enhanced image, and adding the feature enhanced image and the difference value processing image pixel by pixel to obtain a corresponding reconstructed image and outputting the reconstructed image;
the electric vehicle license plate missing identification unit is connected with the targeted processing unit and used for receiving the reconstructed image, carrying out electric vehicle body identification on the reconstructed image based on the preset electric vehicle body appearance so as to obtain one or more electric vehicle body areas in the reconstructed image, carrying out license plate detection on each electric vehicle body area, and sending out electric vehicle license plate missing information when the electric vehicle body areas without the detected license plates exist;
the communication alarm unit is connected with the electric vehicle license plate missing identification unit and sends information to a remote traffic department after receiving the electric vehicle license plate missing information;
in the license plate missing identification unit, the license plate detection of each electric vehicle body area comprises the following steps: in the electric vehicle body area, all pixel points with yellow color components more than or equal to a preset component threshold value are combined into a license plate sub-area, and when OCR recognition in the license plate sub-area fails, it is determined that no license plate is detected in the electric vehicle body area.
4. The traffic light of claim 3, wherein in the threshold analysis unit, adjusting the binarization threshold of the image partition based on the respective binarization threshold of the respective image partition in the neighborhood of the image partition to obtain the adjusted threshold of the image partition comprises: the higher the matching degree of the image block neighborhood image block and the image block is, the greater the influence degree of the image block neighborhood image block on the binarization threshold value of the image block is.
5. The traffic light of claim 4, wherein, in the content parser, determining whether to issue a blurring alarm signal according to a degree of uniformity of distribution of the respective edge lines in the road-shot image comprises: and when the distribution uniformity of each edge line in the road shot image exceeds the limit, sending a blurring alarm signal.
6. The traffic light of claim 5, wherein the instant camera unit further comprises an LED light connected to the content analyzer for emitting red light at a predetermined flashing frequency upon receiving the blurring warning signal; and after the auxiliary light source further determines to emit auxiliary light, determining the intensity of the emitted auxiliary light according to the size of the ambient brightness mean value, wherein the intensity of the emitted auxiliary light is smaller when the ambient brightness mean value is larger.
7. The traffic light of claim 6, wherein the LED light is further configured to not flash when the ghosting alert signal is not received.
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| CN109272490A (en) * | 2018-08-22 | 2019-01-25 | 浙江大丰实业股份有限公司 | Stage equipment overturning-preventing manoeuvring platform |
| CN109204106A (en) * | 2018-08-27 | 2019-01-15 | 浙江大丰实业股份有限公司 | Stage equipment mobile system |
| CN109598246A (en) * | 2018-12-07 | 2019-04-09 | 广东亿迅科技有限公司 | Vehicle enters and leaves detection method, device, computer equipment and storage medium |
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