Field alarm system based on traffic signal lamp time sequence
By using an on-site alarm system based on traffic light timings, vehicles occupying zebra crossings can be identified and dissuaded, thus solving the problem of vehicles occupying the road during the green light period and improving pedestrian traffic efficiency and traffic environment quality.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- NANJING PUHUIQI INTELLIGENT TRANSPORTATION TECHNOLOGY CO LTD
- Filing Date
- 2024-01-08
- Publication Date
- 2026-05-01
AI Technical Summary
During the green light period of traffic signals, some car drivers occupy the solid white lines of zebra crossings, affecting pedestrian crossing efficiency and causing a deterioration of the traffic environment.
Design a field alarm system based on traffic light timing. Through scene detection, filtering, and visual judgment, identify the proportion of the imaging area occupied by a vehicle on a solid white line and issue an audible warning when the proportion exceeds a set threshold to dissuade the vehicle from occupying the lane.
Effectively identify and dissuade vehicles from occupying zebra crossings, improve pedestrian traffic efficiency, and improve the traffic environment.
Smart Images
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Abstract
Description
Technical Field
[0001] The present invention relates to the field of traffic management, and particularly to a on-site alarm system based on traffic signal timing. Background Art
[0002] The zebra crossing, which appears as a solid white line, is an important road marking that can effectively improve traffic safety. It can protect pedestrians, cyclists and drivers, and ensure smooth traffic flow. The following are several important functions of the zebra crossing: The zebra crossing helps to limit the driving speed of vehicles, enabling pedestrians to pass safely; The zebra crossing can remind drivers to pay attention to pedestrians or cyclists, reducing the possibility of collisions. The zebra crossing can provide a direct path for pedestrians to cross, reducing the risk of pedestrians being hit; The zebra crossing can make drivers pay attention to the surrounding environment and detect problems in a timely manner; The zebra crossing can help drivers quickly identify whether pedestrians have crossed the road; The zebra crossing can help drivers quickly identify whether pedestrians are walking and their upcoming positions.
[0003] However, in the actual traffic environment, there are still some motor vehicle drivers who, out of a fluke mentality and for the purpose of passing quickly, occupy the solid white line that serves as the zebra crossing during the time interval when the green traffic signal is on, thus affecting the normal passage of pedestrians and deteriorating the traffic efficiency of the entire traffic environment. Summary of the Invention
[0004] In order to solve the technical problems in the prior art, the present invention provides a on-site alarm system based on traffic signal timing, which can issue a vehicle occupancy signal when the percentage of the number of pixel points overlapping the imaging area of a certain vehicle in the imaging area of the solid white line in the traffic direction for pedestrians to walk accounts for more than or equal to a set percentage limit of the total number of pixel points of the traffic scene picture after targeted optimization processing, and play a corresponding sound warning file in real time for the vehicle occupancy signal, so as to achieve automatic dissuasion of the occupied vehicle.
[0005] According to a on-site alarm system based on traffic signal timing provided by the present invention, the system includes:
[0006] A scene detection mechanism, connected to the traffic signal, for capturing a directional picture of the traffic direction under the jurisdiction of the traffic signal at a set frame rate during the time interval when the green traffic signal is on, so as to obtain a directional scene picture;
[0007] The sequence conversion mechanism includes a first filtering device, a rendering processing device, and a second filtering device. The first filtering device is connected to the scene detection mechanism and is used to perform harmonic mean filtering on the received directional scene image to obtain and output a corresponding harmonic mean filtered image. The rendering processing device is connected to the first filtering device and is used to perform image rendering processing on the received harmonic mean filtered image to obtain and output a corresponding current rendered image. The second filtering device is connected to the rendering processing device and is used to perform guided filtering on the received current rendered image to obtain and output a corresponding sequence conversion image.
[0008] A visual judgment mechanism, connected to the sequence conversion mechanism, is used to identify the imaging region corresponding to the white solid line body in the received sequence conversion image based on the color imaging characteristics of the white solid line body and output it as the target imaging region.
[0009] An overlap identification mechanism, connected to the visual judgment mechanism, is used to issue a vehicle lane occupancy signal when the percentage of pixels overlapping with the imaging area of a vehicle in the received target imaging area is greater than or equal to a set percentage limit in the total number of pixels in the sequentially converted image.
[0010] The on-site playback mechanism is located near the traffic light and connected to the overlap identification mechanism. It is used to play the sound warning file corresponding to the vehicle lane occupancy signal in real time when the vehicle lane occupancy signal is received.
[0011] The overlap identification mechanism is also used to issue a vehicle not occupying the lane signal when the percentage of the number of pixels overlapping with the imaging area of any vehicle in the received target imaging area is less than the set percentage limit.
[0012] Specifically, during the green light period of the traffic signal, a set frame rate is used to capture directional images of the traffic direction governed by the traffic signal to obtain directional scene images, including: the traffic direction governed by the traffic signal has white solid lines laid at the traffic intersection for pedestrians to pass during the green light period. Attached Figure Description
[0013] The embodiments of the present invention will now be described with reference to the accompanying drawings, wherein:
[0014] Figure 1 This is an internal structure diagram of a field alarm system based on traffic signal timing according to a first embodiment of the present invention.
[0015] Figure 2 This is an internal structural diagram of a field alarm system based on traffic signal timing according to a second embodiment of the present invention.
[0016] Figure 3 This is an internal structure diagram of a field alarm system based on traffic signal timing according to a third embodiment of the present invention. Detailed Implementation
[0017] The implementation scheme of the on-site alarm system based on traffic signal timing of the present invention will be described in detail below with reference to the accompanying drawings.
[0018] Figure 1 The diagram illustrates the internal structure of a field alarm system based on traffic light timing according to a first embodiment of the present invention. The system includes:
[0019] A scene detection mechanism, connected to a traffic light, is used to capture directional images of the traffic direction governed by the traffic light at a set frame rate during the green light illumination period of the traffic light, so as to obtain directional scene images.
[0020] The sequence conversion mechanism includes a first filtering device, a rendering processing device, and a second filtering device. The first filtering device is connected to the scene detection mechanism and is used to perform harmonic mean filtering on the received directional scene image to obtain and output a corresponding harmonic mean filtered image. The rendering processing device is connected to the first filtering device and is used to perform image rendering processing on the received harmonic mean filtered image to obtain and output a corresponding current rendered image. The second filtering device is connected to the rendering processing device and is used to perform guided filtering on the received current rendered image to obtain and output a corresponding sequence conversion image.
[0021] For example, the first filtering device is connected to the scene detection mechanism and is used to perform harmonic mean filtering on the received directional scene image to obtain and output a corresponding harmonic mean filtered image. The rendering processing device is connected to the first filtering device and is used to perform image rendering processing on the received harmonic mean filtered image to obtain and output a corresponding current rendered image. The second filtering device is connected to the rendering processing device and is used to perform guided filtering on the received current rendered image to obtain and output a corresponding sequential conversion image. This includes selecting different programmable logic devices to implement the first filtering device, the rendering processing device, and the second filtering device respectively.
[0022] A visual judgment mechanism, connected to the sequence conversion mechanism, is used to identify the imaging region corresponding to the white solid line body in the received sequence conversion image based on the color imaging characteristics of the white solid line body and output it as the target imaging region.
[0023] An overlap identification mechanism, connected to the visual judgment mechanism, is used to issue a vehicle lane occupancy signal when the percentage of pixels overlapping with the imaging area of a vehicle in the received target imaging area is greater than or equal to a set percentage limit in the total number of pixels in the sequentially converted image.
[0024] The on-site playback mechanism is located near the traffic light and connected to the overlap identification mechanism. It is used to play the sound warning file corresponding to the vehicle lane occupancy signal in real time when the vehicle lane occupancy signal is received.
[0025] The overlap identification mechanism is also used to issue a vehicle not occupying the lane signal when the percentage of the number of pixels overlapping with the imaging area of any vehicle in the received target imaging area is less than the set percentage limit.
[0026] Specifically, during the green light period of the traffic signal, a set frame rate is used to capture directional images of the traffic direction governed by the traffic signal to obtain directional scene images, including: the traffic direction governed by the traffic signal has white solid lines laid at the traffic intersection for pedestrians to pass during the green light period.
[0027] Among them, capturing directional images of the traffic direction governed by the traffic light at a set frame rate during the green light time interval of the traffic light to obtain directional scene images also includes: the value of the set frame rate is inversely correlated with the resolution of the directional scene images.
[0028] The inverse correlation between the set frame rate and the resolution of the directional scene image includes: using a numerical conversion formula to represent the numerical correspondence between the set frame rate and the resolution of the directional scene image.
[0029] Figure 2 This is an internal structural diagram of a field alarm system based on traffic signal timing according to a second embodiment of the present invention.
[0030] exist Figure 2 In, with Figure 1 Unlike other systems, the second embodiment of the present invention illustrates a field alarm system based on traffic light timing, which may further include:
[0031] A humidity detection device is disposed near the first filtering device, the rendering processing device, the second filtering device, and the visual judgment mechanism, and is respectively connected to the first filtering device, the rendering processing device, the second filtering device, and the visual judgment mechanism.
[0032] The humidity detection device is located near the first filtering device, the rendering processing device, the second filtering device, and the visual judgment mechanism, and is connected to the first filtering device, the rendering processing device, the second filtering device, and the visual judgment mechanism respectively. The humidity detection device is used to perform on-site measurement of the current humidity of the first filtering device, the rendering processing device, the second filtering device, and the visual judgment mechanism respectively.
[0033] Figure 3 This is an internal structure diagram of a field alarm system based on traffic signal timing according to a third embodiment of the present invention.
[0034] exist Figure 3 In, with Figure 1 Unlike the previous embodiment, the on-site alarm system based on traffic light timing shown in the third embodiment of the present invention may further include:
[0035] A thickness detection device is disposed near the first filtering device, the rendering processing device, the second filtering device, and the visual judgment mechanism, and is respectively connected to the first filtering device, the rendering processing device, the second filtering device, and the visual judgment mechanism.
[0036] The thickness detection device is disposed near the first filtering device, the rendering processing device, the second filtering device, and the visual judgment mechanism, and is connected to the first filtering device, the rendering processing device, the second filtering device, and the visual judgment mechanism respectively. The thickness detection device is used to perform on-site measurement of the current thickness of the first filtering device, the rendering processing device, the second filtering device, and the visual judgment mechanism respectively.
[0037] Next, the specific structure of the on-site alarm system based on traffic signal timing of the present invention will be further described.
[0038] In a traffic signal timing-based on-site alarm system according to any embodiment of the present invention:
[0039] An embedded processing device is used to perform image data processing on the output data of the first filtering device, the rendering processing device, the second filtering device, and the visual judgment mechanism to obtain the output processing data corresponding to the first filtering device, the rendering processing device, the second filtering device, and the visual judgment mechanism, respectively.
[0040] The method of using an embedded processing device to perform image data processing on the output data of the first filtering device, the rendering processing device, the second filtering device, and the visual judgment mechanism to obtain the output processing data corresponding to the first filtering device, the rendering processing device, the second filtering device, and the visual judgment mechanism respectively includes: performing color level adjustment on the output data of the first filtering device, the rendering processing device, the second filtering device, and the visual judgment mechanism to obtain the output processing data corresponding to the first filtering device, the rendering processing device, the second filtering device, and the visual judgment mechanism respectively;
[0041] The method of using an embedded processing device to perform image data processing on the output data of the first filtering device, the rendering processing device, the second filtering device, and the visual judgment mechanism to obtain the output processing data corresponding to the first filtering device, the rendering processing device, the second filtering device, and the visual judgment mechanism respectively includes: performing image restoration on the output data of the first filtering device, the rendering processing device, the second filtering device, and the visual judgment mechanism to obtain the output processing data corresponding to the first filtering device, the rendering processing device, the second filtering device, and the visual judgment mechanism respectively;
[0042] The method of using an embedded processing device to perform image data processing on the output data of the first filtering device, the rendering processing device, the second filtering device, and the visual judgment mechanism to obtain the output processing data corresponding to the first filtering device, the rendering processing device, the second filtering device, and the visual judgment mechanism respectively includes: performing rotation correction on the output data of the first filtering device, the rendering processing device, the second filtering device, and the visual judgment mechanism to obtain the output processing data corresponding to the first filtering device, the rendering processing device, the second filtering device, and the visual judgment mechanism respectively;
[0043] The method of using an embedded processing device to perform image data processing on the output data of the first filtering device, the rendering processing device, the second filtering device, and the visual judgment mechanism to obtain the output processing data corresponding to the first filtering device, the rendering processing device, the second filtering device, and the visual judgment mechanism respectively includes: performing alpha mean filtering on the output data of the first filtering device, the rendering processing device, the second filtering device, and the visual judgment mechanism to obtain the output processing data corresponding to the first filtering device, the rendering processing device, the second filtering device, and the visual judgment mechanism respectively.
[0044] In addition, in the on-site alarm system based on traffic signal timing, when the percentage of pixels overlapping with the imaging area of a certain vehicle in the received target imaging area is greater than or equal to a set percentage limit in the total number of pixels in the sequentially converted image, issuing a vehicle lane occupancy signal includes: identifying the imaging area of each vehicle in the sequentially converted image based on the standard shape pattern of the vehicle.
[0045] Therefore, the essential features of the technical solution of this invention are as follows:
[0046] When the number of pixels overlapping with the imaging area of a vehicle in the imaging area of a white solid line in the direction of pedestrian traffic accounts for a percentage greater than or equal to the total number of pixels in the traffic scene image after targeted optimization, a vehicle lane-occupying signal is issued, and a sound warning file corresponding to the vehicle lane-occupying signal is played in real time, thereby automatically dissuading vehicles from occupying the lane.
[0047] A customized sequential conversion mechanism, comprising a first filtering device, a rendering processing device, and a second filtering device, is used to perform targeted optimization processing on traffic scene images, thereby providing reliable information for subsequent scene warnings.
[0048] The on-site alarm system based on traffic signal timing of the present invention has a compact structure and is easy to operate. When the number of pixels overlapping with the imaging area of a vehicle in the imaging area of a white solid line in the pedestrian traffic direction occupies a percentage greater than or equal to a set percentage limit in the total number of pixels in the optimized traffic scene image, a vehicle lane-occupying signal is issued, thereby achieving effective identification of vehicles occupying the lane.
[0049] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.
[0050] The various embodiments in this specification are described in a related manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, the apparatus embodiments are basically similar to the method embodiments, so the description is relatively simple; relevant parts can be referred to the descriptions of the method embodiments.
[0051] The above description is merely a preferred embodiment of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention are included within the scope of protection of the present invention.
Claims
1. A field alarm system based on traffic signal timing, characterized in that, The system includes: A scene detection mechanism, connected to a traffic light, is used to capture directional images of the traffic direction governed by the traffic light at a set frame rate during the green light illumination period of the traffic light, so as to obtain directional scene images. The sequence conversion mechanism includes a first filtering device, a rendering processing device, and a second filtering device. The first filtering device is connected to the scene detection mechanism and is used to perform harmonic mean filtering on the received directional scene image to obtain and output a corresponding harmonic mean filtered image. The rendering processing device is connected to the first filtering device and is used to perform image rendering processing on the received harmonic mean filtered image to obtain and output a corresponding current rendered image. The second filtering device is connected to the rendering processing device and is used to perform guided filtering on the received current rendered image to obtain and output a corresponding sequence conversion image. A visual judgment mechanism, connected to the sequence conversion mechanism, is used to identify the imaging region corresponding to the white solid line body in the received sequence conversion image based on the color imaging characteristics of the white solid line body and output it as the target imaging region. An overlap identification mechanism, connected to the visual judgment mechanism, is used to issue a vehicle lane occupancy signal when the percentage of pixels overlapping with the imaging area of a vehicle in the received target imaging area is greater than or equal to a set percentage limit in the total number of pixels in the sequentially converted image. The on-site playback mechanism is located near the traffic light and connected to the overlap identification mechanism. It is used to play the sound warning file corresponding to the vehicle lane occupancy signal in real time when the vehicle lane occupancy signal is received. The overlap identification mechanism is also used to issue a vehicle not occupying the lane signal when the percentage of the number of pixels overlapping with the imaging area of any vehicle in the received target imaging area is less than the set percentage limit. Specifically, during the green light period of the traffic signal, a set frame rate is used to capture directional images of the traffic direction governed by the traffic signal to obtain directional scene images, including: the traffic direction governed by the traffic signal has white solid lines laid at the traffic intersection for pedestrians to pass during the green light period.
2. The on-site alarm system based on traffic signal timing as described in claim 1, characterized in that: During the green light period of the traffic signal, a set frame rate is used to capture directional images of the traffic direction governed by the traffic signal to obtain directional scene images. This also includes: the value of the set frame rate is inversely correlated with the resolution of the directional scene images. The inverse correlation between the set frame rate and the resolution of the directional scene image includes: using a numerical conversion formula to represent the numerical correspondence between the set frame rate and the resolution of the directional scene image.
3. The on-site alarm system based on traffic signal timing as described in claim 2, characterized in that, The system also includes: A humidity detection device is disposed near the first filtering device, the rendering processing device, the second filtering device, and the visual judgment mechanism, and is respectively connected to the first filtering device, the rendering processing device, the second filtering device, and the visual judgment mechanism. The humidity detection device is located near the first filtering device, the rendering processing device, the second filtering device, and the visual judgment mechanism, and is connected to the first filtering device, the rendering processing device, the second filtering device, and the visual judgment mechanism respectively. The humidity detection device is used to perform on-site measurement of the current humidity of the first filtering device, the rendering processing device, the second filtering device, and the visual judgment mechanism respectively.
4. The on-site alarm system based on traffic light timing as described in claim 2, characterized in that, The system also includes: A thickness detection device is disposed near the first filtering device, the rendering processing device, the second filtering device, and the visual judgment mechanism, and is respectively connected to the first filtering device, the rendering processing device, the second filtering device, and the visual judgment mechanism. The thickness detection device is disposed near the first filtering device, the rendering processing device, the second filtering device, and the visual judgment mechanism, and is connected to the first filtering device, the rendering processing device, the second filtering device, and the visual judgment mechanism respectively. The thickness detection device is used to perform on-site measurement of the current thickness of the first filtering device, the rendering processing device, the second filtering device, and the visual judgment mechanism respectively.
5. The on-site alarm system based on traffic signal timing as described in any one of claims 2-4, characterized in that: An embedded processing device is used to perform image data processing on the output data of the first filtering device, the rendering processing device, the second filtering device, and the visual judgment mechanism to obtain the output processing data corresponding to the first filtering device, the rendering processing device, the second filtering device, and the visual judgment mechanism, respectively.
6. The on-site alarm system based on traffic signal timing as described in claim 5, characterized in that: Using an embedded processing device to perform image data processing on the output data of the first filtering device, the rendering processing device, the second filtering device, and the visual judgment mechanism to obtain the output processing data corresponding to the first filtering device, the rendering processing device, the second filtering device, and the visual judgment mechanism respectively includes: performing color level adjustment on the output data of the first filtering device, the rendering processing device, the second filtering device, and the visual judgment mechanism to obtain the output processing data corresponding to the first filtering device, the rendering processing device, the second filtering device, and the visual judgment mechanism respectively.
7. The on-site alarm system based on traffic signal timing as described in claim 5, characterized in that: Using an embedded processing device to perform image data processing on the output data of the first filtering device, the rendering processing device, the second filtering device, and the visual judgment mechanism to obtain the output processing data corresponding to the first filtering device, the rendering processing device, the second filtering device, and the visual judgment mechanism respectively includes: performing image restoration on the output data of the first filtering device, the rendering processing device, the second filtering device, and the visual judgment mechanism to obtain the output processing data corresponding to the first filtering device, the rendering processing device, the second filtering device, and the visual judgment mechanism respectively.
8. The on-site alarm system based on traffic signal timing as described in claim 5, characterized in that: Using an embedded processing device to perform image data processing on the output data of the first filtering device, the rendering processing device, the second filtering device, and the visual judgment mechanism to obtain the output processing data corresponding to the first filtering device, the rendering processing device, the second filtering device, and the visual judgment mechanism respectively includes: performing rotation correction on the output data of the first filtering device, the rendering processing device, the second filtering device, and the visual judgment mechanism to obtain the output processing data corresponding to the first filtering device, the rendering processing device, the second filtering device, and the visual judgment mechanism respectively.
9. The on-site alarm system based on traffic signal timing as described in claim 5, characterized in that: Using an embedded processing device to perform image data processing on the output data of the first filtering device, the rendering processing device, the second filtering device, and the visual judgment mechanism to obtain the output processing data corresponding to the first filtering device, the rendering processing device, the second filtering device, and the visual judgment mechanism respectively includes: performing alpha mean filtering on the output data of the first filtering device, the rendering processing device, the second filtering device, and the visual judgment mechanism to obtain the output processing data corresponding to the first filtering device, the rendering processing device, the second filtering device, and the visual judgment mechanism respectively.