Real-time big data identification system for target contact status

Abstract

The present invention relates to a real-time big data identification system for target contact status. The system includes: a preview processing device, which is used to perform visual recognition processing on the preview monitoring screen of the first resolution of the highway road surface to determine whether there is a vehicle, and when it is determined that there is a vehicle, drive the road surface capture mechanism to convert to the second resolution; a contact judgment device, which is used to judge that the emergency lane and the vehicle are in contact and send a vehicle violation detection signal when the depth of field value corresponding to a certain pixel point corresponding to the emergency lane is the same as the depth of field value corresponding to a certain pixel point corresponding to the vehicle and the positions of the two pixels are the same in the data sharpening image. Through this system, a preview processing device can be introduced to perform adaptive transformation of the resolution of the preview monitoring screen of the highway road surface, and at the same time, a targeted visual analysis mechanism is used to perform high-precision identification of violations of short-term and temporary occupation of the emergency lane on the highway, thereby effectively maintaining the safety of the highway.

Description

Technical Field

[0001] The present invention relates to the field of traffic management, and more specifically, to a real-time big data identification system for target contact status. Background Art

[0002] The emergency lane of an expressway refers to a road surface that is adjacent to the right-hand road lane, has a width of more than 3 meters, including the hard shoulder, and an effective length of greater than or equal to 30 meters, and can meet the parking needs of motor vehicles. In an emergency, vehicles can drive or park on the emergency lane.

[0003] In the event of traffic congestion ahead, it is prohibited to park or queue in the emergency lane. When the driver's vehicle breaks down and needs to stop to repair it, he should not immediately turn on the hazard warning lights and move the broken vehicle to a place where it will not hinder traffic, so as to avoid a secondary accident.

[0004] However, due to the high speed of vehicles on highways, it is difficult to accurately identify the illegal behavior of temporarily occupying the emergency lane for a short time, which provides space and time for safety accidents on highways. Summary of the invention

[0005] In order to solve the technical problems in the related fields, the present invention provides a real-time big data identification system for target contact status, which can introduce a preview processing device for performing visual recognition processing on the preview monitoring picture of the first resolution of the highway road surface to determine whether there is a vehicle, and when it is determined that there is a vehicle, drive the road surface capture mechanism to convert to the second resolution to perform road surface environment capture operation on the highway road surface to obtain a real-shot monitoring picture of the second resolution, thereby taking into account the computing power and monitoring effect of the monitoring system.

[0006] The present invention needs to have at least the following important invention points:

[0007] First, the depth of field values ​​corresponding to the pixel points of the image blocks of the emergency lane in the data-sharpened image obtained after the customized sharpening process are obtained, and the depth of field values ​​corresponding to the pixel points of the image blocks of the vehicle in the data-sharpened image are obtained. When the depth of field value corresponding to a certain pixel point corresponding to the emergency lane is the same as the depth of field value corresponding to a certain pixel point corresponding to the vehicle and the positions of the two pixels in the data-sharpened image are the same, it is determined that the emergency lane and the vehicle are in contact and a vehicle violation detection signal is issued. Otherwise, it is determined that the emergency lane and the vehicle are separated, thereby achieving high-precision and real-time identification of the driving behavior of the vehicle illegally driving on the emergency lane;

[0008] Second: based on the brightness imaging characteristics corresponding to the emergency lane, the image blocks of the emergency lane in the data-sharpened image are identified, and based on the shape imaging characteristics corresponding to the vehicle, the image blocks of the vehicle in the data-sharpened image are identified, thereby providing key information for the subsequent analysis of the relative status of the emergency lane and the vehicle;

[0009] Third: a preview processing device is introduced to perform visual recognition processing on the preview monitoring picture of the highway road surface with a first resolution to determine whether there is a vehicle. When it is determined that there is a vehicle, the road surface capture mechanism is driven to convert the resolution to the second resolution to perform road surface environment capture operation on the highway road surface to obtain a real-shot monitoring picture with a second resolution, thereby taking into account both the computational complexity and monitoring effect of the monitoring system.

[0010] According to the present invention, a target contact status real-time big data identification system is provided, the system comprising:

[0011] A preview processing device is used to perform visual recognition processing on the preview monitoring picture of the highway road surface at the first resolution to determine whether there is a vehicle, and when it is determined that there is a vehicle, drive the road surface capture mechanism to convert to the second resolution to perform a road surface environment capture operation on the highway road surface to obtain a real-shot monitoring picture of the second resolution;

[0012] A road surface capturing mechanism, connected to the preview processing device, and configured to convert between the first resolution and the second resolution under the drive of the preview processing device;

[0013] A guided filtering device, connected to the road surface capturing mechanism, is used to perform guided filtering processing on the received real-shot monitoring picture of the second resolution to obtain and output a corresponding guided filtering image;

[0014] a directional filtering device, connected to the guided filtering device, for performing directional filtering processing on the received guided filtering image to obtain and output a corresponding directional filtering image;

[0015] A data sharpening device, connected to the directional filtering device, for performing a spatial differential sharpening process on the received directional filtered image to obtain and output a corresponding data sharpened image;

[0016] a contact judgment device connected to the data sharpening device, and used to receive the data sharpened image, obtain the depth of field values ​​corresponding to the pixel points of the image block of the emergency lane in the data sharpened image, and obtain the depth of field values ​​corresponding to the pixel points of the image block of the vehicle in the data sharpened image, and when the depth of field value corresponding to a certain pixel point corresponding to the emergency lane is the same as the depth of field value corresponding to a certain pixel point corresponding to the vehicle and the positions of the two pixel points in the data sharpened image are the same, it is judged that the emergency lane and the vehicle are in contact and a vehicle violation detection signal is issued; otherwise, it is judged that the emergency lane and the vehicle are separated;

[0017] Wherein, the contact judgment device identifies the image block of the emergency lane in the data sharpened image based on the imaging characteristics corresponding to the emergency lane, and identifies the image block of the vehicle in the data sharpened image based on the imaging characteristics corresponding to the vehicle;

[0018] Among them, visual recognition processing is performed on the preview monitoring picture of the highway road surface with a first resolution to determine whether there is a vehicle, and when it is determined that there is a vehicle, the road surface capture mechanism is driven to convert to a second resolution to perform a road surface environment capture operation on the highway road surface to obtain a real-shot monitoring picture with a second resolution, including: visual recognition processing is performed on the preview monitoring picture of the highway road surface with a first resolution to determine whether there is a vehicle based on the vehicle's appearance imaging characteristics.

[0019] The target contact status real-time big data identification system of the present invention operates intelligently and has a certain monitoring accuracy. Since a preview processing device can be introduced to adaptively transform the resolution of the preview monitoring screen of the highway road surface, a targeted visual analysis mechanism is used to perform high-precision identification of violations of short-term and temporary occupation of emergency lanes on the highway, thereby effectively maintaining the safety of the highway. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Those skilled in the art may better understand the numerous advantages of the present invention by referring to the accompanying drawings, in which:

[0021] Figure 1 It is a structural diagram of a target contact status real-time big data identification system according to the primary embodiment of the present invention.

[0022] Figure 2 It is a structural diagram of a target contact status real-time big data identification system according to a secondary embodiment of the present invention.

[0023] Figure 3 4 is a structural diagram of a target contact status real-time big data identification system according to another embodiment of the present invention. DETAILED DESCRIPTION

[0024] Figure 11 is a schematic diagram of a real-time big data identification system for target contact status according to a primary embodiment of the present invention, the system comprising:

[0025] A preview processing device is used to perform visual recognition processing on the preview monitoring picture of the highway road surface at the first resolution to determine whether there is a vehicle, and when it is determined that there is a vehicle, drive the road surface capture mechanism to convert to the second resolution to perform a road surface environment capture operation on the highway road surface to obtain a real-shot monitoring picture of the second resolution;

[0026] For example, the preview processing device is used to perform visual recognition processing on the preview monitoring picture of the first resolution of the highway road surface to determine whether there is a vehicle, and when it is determined that there is a vehicle, drive the road surface capture mechanism to convert to the second resolution to perform a road surface environment capture operation on the highway road surface to obtain a real-shot monitoring picture of the second resolution, including: the preview processing device can be implemented by using a GAL chip, and is used to perform visual recognition processing on the preview monitoring picture of the first resolution of the highway road surface to determine whether there is a vehicle, and when it is determined that there is a vehicle, drive the road surface capture mechanism to convert to the second resolution to perform a road surface environment capture operation on the highway road surface to obtain a real-shot monitoring picture of the second resolution;

[0027] A road surface capturing mechanism, connected to the preview processing device, and configured to convert between the first resolution and the second resolution under the drive of the preview processing device;

[0028] A guided filtering device, connected to the road surface capturing mechanism, is used to perform guided filtering processing on the received real-shot monitoring picture of the second resolution to obtain and output a corresponding guided filtering image;

[0029] a directional filtering device, connected to the guided filtering device, for performing directional filtering processing on the received guided filtering image to obtain and output a corresponding directional filtering image;

[0030] A data sharpening device, connected to the directional filtering device, for performing a spatial differential sharpening process on the received directional filtered image to obtain and output a corresponding data sharpened image;

[0031] a contact judgment device connected to the data sharpening device, and used to receive the data sharpened image, obtain the depth of field values ​​corresponding to the pixel points of the image block of the emergency lane in the data sharpened image, and obtain the depth of field values ​​corresponding to the pixel points of the image block of the vehicle in the data sharpened image, and when the depth of field value corresponding to a certain pixel point corresponding to the emergency lane is the same as the depth of field value corresponding to a certain pixel point corresponding to the vehicle and the positions of the two pixel points in the data sharpened image are the same, it is judged that the emergency lane and the vehicle are in contact and a vehicle violation detection signal is issued; otherwise, it is judged that the emergency lane and the vehicle are separated;

[0032] Wherein, the contact judgment device identifies the image block of the emergency lane in the data sharpened image based on the imaging characteristics corresponding to the emergency lane, and identifies the image block of the vehicle in the data sharpened image based on the imaging characteristics corresponding to the vehicle;

[0033] The step of performing visual recognition processing on the preview monitoring picture of the highway road surface at the first resolution to determine whether there is a vehicle, and when it is determined that there is a vehicle, driving the road surface capture mechanism to convert the resolution to the second resolution to perform a road surface environment capture operation on the highway road surface to obtain a real-shot monitoring picture of the second resolution includes: performing visual recognition processing on the preview monitoring picture of the highway road surface at the first resolution to determine whether there is a vehicle based on the appearance imaging characteristics of the vehicle;

[0034] Wherein, the preview processing device is also used to drive the road surface capture mechanism to convert to the first resolution to perform road surface environment capture operation on the high-speed road surface to obtain a preview monitoring picture with the first resolution when it is determined that there is no vehicle.

[0035] Figure 2 It is a structural diagram of a target contact status real-time big data identification system according to a secondary embodiment of the present invention.

[0036] and Figure 1 different, Figure 2 The target contact status real-time big data identification system can also include the following components:

[0037] a length detection device, arranged near the guide filtering device, the direction filtering device, the data sharpening device and the contact judging device and connected to the guide filtering device, the direction filtering device, the data sharpening device and the contact judging device respectively;

[0038] Among them, the length detection device is arranged near the guide filtering device, the direction filtering device, the data sharpening device and the contact judgment device and is respectively connected to the guide filtering device, the direction filtering device, the data sharpening device and the contact judgment device, including: the length detection device is used to respectively realize on-site measurement of the current length of the guide filtering device, the direction filtering device, the data sharpening device and the contact judgment device.

[0039] Figure 3 4 is a structural diagram of a target contact status real-time big data identification system according to another embodiment of the present invention.

[0040] and Figure 1 different, Figure 3 The target contact status real-time big data identification system can also include the following components:

[0041] a temperature detection device, arranged near the guide filter device, the direction filter device, the data sharpening device and the contact judgment device and connected to the guide filter device, the direction filter device, the data sharpening device and the contact judgment device respectively;

[0042] Among them, the temperature detection device is arranged near the guiding filtering device, the directional filtering device, the data sharpening device and the contact judgment device and is respectively connected to the guiding filtering device, the directional filtering device, the data sharpening device and the contact judgment device, including: the temperature detection device is used to respectively realize on-site measurement of the current temperature of the guiding filtering device, the directional filtering device, the data sharpening device and the contact judgment device.

[0043] Next, the specific structure of the target contact status real-time big data identification system of the present invention is further described.

[0044] In the target contact state real-time big data identification system according to various embodiments of the present invention:

[0045] A DSP processing chip is used to perform image data processing on the output data of the guide filtering device, the direction filtering device, the data sharpening device and the contact judgment device to obtain output processing data corresponding to the guide filtering device, the direction filtering device, the data sharpening device and the contact judgment device respectively.

[0046] In the target contact state real-time big data identification system according to various embodiments of the present invention:

[0047] The DSP processing chip is used to perform image data processing on the output data of the guided filtering device, the directional filtering device, the data sharpening device and the contact judgment device to obtain the output processing data corresponding to the guided filtering device, the directional filtering device, the data sharpening device and the contact judgment device respectively, including: performing dynamic range expansion on the output data of the guided filtering device, the directional filtering device, the data sharpening device and the contact judgment device to obtain the output processing data corresponding to the guided filtering device, the directional filtering device, the data sharpening device and the contact judgment device respectively.

[0048] In the target contact state real-time big data identification system according to various embodiments of the present invention:

[0049] Using a DSP processing chip to perform image data processing on the output data of the guided filtering device, the directional filtering device, the data sharpening device and the contact judgment device to obtain the output processing data corresponding to the guided filtering device, the directional filtering device, the data sharpening device and the contact judgment device respectively includes: performing gamma correction on the output data of the guided filtering device, the directional filtering device, the data sharpening device and the contact judgment device to obtain the output processing data corresponding to the guided filtering device, the directional filtering device, the data sharpening device and the contact judgment device respectively.

[0050] In the target contact state real-time big data identification system according to various embodiments of the present invention:

[0051] Using a DSP processing chip to perform image data processing on the output data of the guided filtering device, the directional filtering device, the data sharpening device and the contact judgment device to obtain the output processing data corresponding to the guided filtering device, the directional filtering device, the data sharpening device and the contact judgment device respectively includes: performing distortion processing on the output data of the guided filtering device, the directional filtering device, the data sharpening device and the contact judgment device to obtain the output processing data corresponding to the guided filtering device, the directional filtering device, the data sharpening device and the contact judgment device respectively.

[0052] And in the target contact status real-time big data identification system according to various embodiments of the present invention:

[0053] Using a DSP processing chip to perform image data processing on the output data of the guided filtering device, the directional filtering device, the data sharpening device and the contact judgment device to obtain the output processing data corresponding to the guided filtering device, the directional filtering device, the data sharpening device and the contact judgment device respectively includes: performing morphological processing on the output data of the guided filtering device, the directional filtering device, the data sharpening device and the contact judgment device to obtain the output processing data corresponding to the guided filtering device, the directional filtering device, the data sharpening device and the contact judgment device respectively.

[0054] In addition, in the target contact status real-time big data identification system, the contact judgment device identifies the image blocks of the emergency lane in the data sharpened image based on the imaging characteristics corresponding to the emergency lane, and identifies the image blocks of the vehicle in the data sharpened image based on the imaging characteristics corresponding to the vehicle, including: the contact judgment device identifies the image blocks of the emergency lane in the data sharpened image based on the brightness imaging characteristics corresponding to the emergency lane, and identifies the image blocks of the vehicle in the data sharpened image based on the shape imaging characteristics corresponding to the vehicle.

[0055] It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be achieved depending on design requirements and other factors insofar as they are within the scope of the appended claims or the equivalents thereof.

Claims

1. A real-time big data identification system for target contact status, characterized in that: The system comprises: A preview processing device is used to perform visual recognition processing on the preview monitoring picture of the highway road surface at the first resolution to determine whether there is a vehicle, and when it is determined that there is a vehicle, drive the road surface capture mechanism to convert to the second resolution to perform a road surface environment capture operation on the highway road surface to obtain a real-shot monitoring picture of the second resolution; A road surface capturing mechanism, connected to the preview processing device, and configured to convert between the first resolution and the second resolution under the drive of the preview processing device; A guided filtering device, connected to the road surface capturing mechanism, is used to perform guided filtering processing on the received real-shot monitoring picture of the second resolution to obtain and output a corresponding guided filtering image; a directional filtering device, connected to the guided filtering device, for performing directional filtering processing on the received guided filtering image to obtain and output a corresponding directional filtering image; A data sharpening device, connected to the directional filtering device, for performing a spatial differential sharpening process on the received directional filtered image to obtain and output a corresponding data sharpened image; a contact judgment device connected to the data sharpening device, and used to receive the data sharpened image, obtain the depth of field values ​​corresponding to the pixel points of the image block of the emergency lane in the data sharpened image, and obtain the depth of field values ​​corresponding to the pixel points of the image block of the vehicle in the data sharpened image, and when the depth of field value corresponding to a certain pixel point corresponding to the emergency lane is the same as the depth of field value corresponding to a certain pixel point corresponding to the vehicle and the positions of the two pixel points in the data sharpened image are the same, it is judged that the emergency lane and the vehicle are in contact and a vehicle violation detection signal is issued; otherwise, it is judged that the emergency lane and the vehicle are separated; Wherein, the contact judgment device identifies the image block of the emergency lane in the data sharpened image based on the imaging characteristics corresponding to the emergency lane, and identifies the image block of the vehicle in the data sharpened image based on the imaging characteristics corresponding to the vehicle; Among them, visual recognition processing is performed on the preview monitoring picture of the highway road surface with a first resolution to determine whether there is a vehicle, and when it is determined that there is a vehicle, the road surface capture mechanism is driven to convert to a second resolution to perform a road surface environment capture operation on the highway road surface to obtain a real-shot monitoring picture with a second resolution, including: visual recognition processing is performed on the preview monitoring picture of the highway road surface with a first resolution to determine whether there is a vehicle based on the vehicle's appearance imaging characteristics.

2. The target contact status real-time big data identification system according to claim 1, characterized in that: The preview processing device is also used to drive the road surface capture mechanism to convert to the first resolution to perform a road surface environment capture operation on the high-speed road surface to obtain a preview monitoring picture with the first resolution when it is determined that there is no vehicle.

3. The target contact status real-time big data identification system according to claim 2, characterized in that: The system further comprises: a length detection device, arranged near the guide filtering device, the direction filtering device, the data sharpening device and the contact judging device and connected to the guide filtering device, the direction filtering device, the data sharpening device and the contact judging device respectively; Among them, the length detection device is arranged near the guide filtering device, the direction filtering device, the data sharpening device and the contact judgment device and is respectively connected to the guide filtering device, the direction filtering device, the data sharpening device and the contact judgment device, including: the length detection device is used to respectively realize on-site measurement of the current length of the guide filtering device, the direction filtering device, the data sharpening device and the contact judgment device.

4. The target contact status real-time big data identification system according to claim 2, characterized in that: The system further comprises: a temperature detection device, arranged near the guide filter device, the direction filter device, the data sharpening device and the contact judgment device and connected to the guide filter device, the direction filter device, the data sharpening device and the contact judgment device respectively; Among them, the temperature detection device is arranged near the guiding filtering device, the directional filtering device, the data sharpening device and the contact judgment device and is respectively connected to the guiding filtering device, the directional filtering device, the data sharpening device and the contact judgment device, including: the temperature detection device is used to respectively realize on-site measurement of the current temperature of the guiding filtering device, the directional filtering device, the data sharpening device and the contact judgment device.

5. The target contact status real-time big data identification system according to any one of claims 2 to 4, characterized in that: A DSP processing chip is used to perform image data processing on the output data of the guide filtering device, the direction filtering device, the data sharpening device and the contact judgment device to obtain output processing data corresponding to the guide filtering device, the direction filtering device, the data sharpening device and the contact judgment device respectively.

6. The target contact status real-time big data identification system according to claim 5, characterized in that: The DSP processing chip is used to perform image data processing on the output data of the guided filtering device, the directional filtering device, the data sharpening device and the contact judgment device to obtain the output processing data corresponding to the guided filtering device, the directional filtering device, the data sharpening device and the contact judgment device respectively, including: performing dynamic range expansion on the output data of the guided filtering device, the directional filtering device, the data sharpening device and the contact judgment device to obtain the output processing data corresponding to the guided filtering device, the directional filtering device, the data sharpening device and the contact judgment device respectively.

7. The target contact status real-time big data identification system according to claim 5, characterized in that: Using a DSP processing chip to perform image data processing on the output data of the guided filtering device, the directional filtering device, the data sharpening device and the contact judgment device to obtain the output processing data corresponding to the guided filtering device, the directional filtering device, the data sharpening device and the contact judgment device respectively includes: performing gamma correction on the output data of the guided filtering device, the directional filtering device, the data sharpening device and the contact judgment device to obtain the output processing data corresponding to the guided filtering device, the directional filtering device, the data sharpening device and the contact judgment device respectively.

8. The target contact status real-time big data identification system according to claim 5, characterized in that: Using a DSP processing chip to perform image data processing on the output data of the guided filtering device, the directional filtering device, the data sharpening device and the contact judgment device to obtain the output processing data corresponding to the guided filtering device, the directional filtering device, the data sharpening device and the contact judgment device respectively includes: performing distortion processing on the output data of the guided filtering device, the directional filtering device, the data sharpening device and the contact judgment device to obtain the output processing data corresponding to the guided filtering device, the directional filtering device, the data sharpening device and the contact judgment device respectively.

9. The target contact status real-time big data identification system according to claim 5, characterized in that: Using a DSP processing chip to perform image data processing on the output data of the guided filtering device, the directional filtering device, the data sharpening device and the contact judgment device to obtain the output processing data corresponding to the guided filtering device, the directional filtering device, the data sharpening device and the contact judgment device respectively includes: performing morphological processing on the output data of the guided filtering device, the directional filtering device, the data sharpening device and the contact judgment device to obtain the output processing data corresponding to the guided filtering device, the directional filtering device, the data sharpening device and the contact judgment device respectively.

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