Highway AI intelligent inspection system

Abstract

The invention relates to an expressway inspection method, which comprises cameras distributed along an expressway, each camera comprising a position code corresponding to the geographic position of the expressway along the expressway, and a comprehensive management center at least comprising a command for sending a command to the expressway, the camera of the management line obtains image information of the management line, the collected image information is processed, the traffic information state along the line is obtained, and the inspection process of the automatic expressway command time is achieved. The inspection process includes but is not limited to abnormal parking of a normal road section; pedestrians intrude into a normal road section, and traffic jam is caused. And vehicle converse running detection. The weather events such as agglomerate fog and road accumulated snow can be avoided.

Description

Technical Field

[0001] This invention relates to an intelligent inspection system, and more particularly to a highway inspection method. Background Technology

[0002] Highway inspection and monitoring are related to highway safety. Due to the long length of the route, manual periodic inspections are not only unsafe but also costly. In general, periodic inspections are conducted over a long period of time to control costs and reduce safety accidents.

[0003] With the development of transportation, especially new energy vehicles, there is a demand for highways to provide more convenient safety support and services. However, the traditional highway inspection system is clearly unable to provide safety services anytime and anywhere. Summary of the Invention

[0004] The purpose of this invention is to provide a highway AI intelligent inspection system that can provide safe travel information services to highway drivers anytime and anywhere.

[0005] The objective of this invention is achieved as follows: a highway inspection method, characterized by comprising at least: cameras distributed along the highway, each camera including a location code corresponding to the geographical location of the highway along the route; and an integrated management center, wherein the integrated management center includes an information collection unit and an information processing unit, the information collection unit and the information processing unit being electrically connected to a network, and the information processing unit being electrically connected to a network of cameras along the highway. The integrated management center includes at least sending a command to have the cameras along the managed route acquire image information of the managed route, processing the collected image information to obtain the traffic information status along the route, and recording and storing it in the integrated management center; the integrated management center analyzes and processes the images from the cameras distributed along the highway, and when an anomaly is found between the image acquired by the camera and the nearest historical record, the camera at the location of the anomaly rotates and refocuses to acquire the maximum scene at the location, and feeds it back to the integrated management center for intervention processing.

[0006] The cameras at the aforementioned locations with anomalies will rotate and focus to capture the maximum scene at the location. Cameras distributed along the route will capture images of the field of view extending outward from the central axis of the camera. The information processing unit will compare and process the acquired images with the stored related images. When the following situations occur, the integrated management center will output and process the problems that occur along the highway.

[0007] Problems encountered along the highways include, but are not limited to, these five: (1) Abnormal parking on normal road sections; if parking is on a road section under maintenance or construction, it is not considered abnormal.

[0008] (2) If a pedestrian enters a normal section of the road, it is not considered abnormal if the pedestrian is in a maintenance or construction section.

[0009] (3) Traffic congestion.

[0010] (4) Detection of vehicles driving in the wrong direction.

[0011] (5) Weather events such as fog and snow accumulation on roads.

[0012] The focus of the cameras distributed along the highway includes the following process: This allows for smooth magnification or reduction of the camera's focus, regardless of distance. Ensure that the road width at the focal point remains consistent on the monitor during patrol.

[0013] The display screen of the integrated management center 11 stitches together patrol footage from multiple cameras.

[0014] The output processing is performed as follows: if the abnormal parking occurs in a maintenance or construction section, it is not considered abnormal.

[0015] The output processing is as follows: if a pedestrian enters a normal road section, but is a pedestrian in a maintenance or construction section, then it is not considered an abnormal parking situation.

[0016] If the output processing involves traffic congestion, the network center will broadcast SMS messages or driving recorder output information to vehicles within 20 kilometers of the traffic congestion location.

[0017] If a vehicle is traveling in the wrong direction, the network center will broadcast SMS messages or driving recorder output information to vehicles within 10 kilometers of the traffic congestion location; at the same time, the voice output unit in the camera will issue an emergency notification to the vehicle traveling in the wrong direction.

[0018] When the output processing is performed on weather events such as fog or snow accumulation on roads, the network center will send SMS messages or driving recorder output information to vehicles within 50 kilometers of the traffic congestion location via broadcast.

[0019] The inspection reports show that the problems encountered along the highways may be one, several, or all of them.

[0020] This inspection process is more time-saving, labor-saving, and cost-effective than existing manual inspections, and it provides safe and secure patrols anytime, anywhere.

[0021] At the same time, these cameras can also acquire various information along the highway at any time and notify vehicles traveling along the highway of the necessary information anytime and anywhere, so as to avoid unnecessary traffic accidents.

[0022] This invention can also conveniently notify drivers of vehicles entering highway sections to pay attention to travel safety.

[0023] The present invention will be further described below with reference to embodiments and accompanying drawings: Attached Figure Description Figure 1 This is a schematic diagram of an embodiment of the present invention; Figure 2 This is a schematic diagram of the structure of Embodiment 1 of this invention.

[0024] In the diagram, 1. Highway along the route; 2. Camera; 3. Information collection unit; 4. Information processing unit; 5. Network; 6. Maintenance and construction section; 7. Vehicles driving in the wrong direction; 8. Voice output unit; 9. Field of view image; 10. Traffic congestion location; 11. Integrated management center. Detailed Implementation

[0025] Example 1 like Figure 1 and Figure 2 As shown, a highway inspection method is characterized by comprising at least: cameras distributed along the highway, each camera including a location code corresponding to the geographical location of the highway along the route; and an integrated management center, which includes an information collection unit and an information processing unit, the information collection unit and the information processing unit being electrically connected to a network, and the information processing unit being electrically connected to a network of cameras along the highway. The integrated management center includes at least one function: sending a command to the cameras along the managed route to acquire image information of the managed route; processing the collected image information to obtain the traffic information status along the route; and recording and storing the information in the integrated management center. The integrated management center analyzes and processes the images from the cameras distributed along the highway. When an anomaly is found between the image acquired by the camera and the closest historical record, the camera at the location of the anomaly rotates and refocuses to acquire the maximum scene at the location and feeds it back to the integrated management center for intervention.

[0026] The cameras at the aforementioned locations with anomalies will rotate and focus to capture the maximum scene at the location. Cameras distributed along the route will capture images of the field of view extending outward from the central axis of the camera. The information processing unit will compare and process the acquired images with the stored related images. When the following situations occur, the integrated management center will output and process the problems that occur along the highway.

[0027] Problems encountered along the highways include, but are not limited to, the following five types: (1) Abnormal parking on normal road sections; if parking is on a road section under maintenance or construction, it is not considered abnormal.

[0028] (2) If a pedestrian enters a normal section of the road, it is not considered abnormal if the pedestrian is in a maintenance or construction section.

[0029] (3) Traffic congestion.

[0030] (4) Detection of vehicles driving in the wrong direction.

[0031] (5) Weather events such as fog and snow accumulation on roads.

[0032] The integrated management center sends a command to inspect the line, which then uses cameras along the line to capture images of the line. The collected images are then processed to obtain the traffic information status along the line.

[0033] After receiving the command, each of the cameras 2 distributed along the line acquires a field of view image 9 that extends outward from the central axis. The information processing unit 4 compares the acquired image with the relevant stored images. When a problem occurs, the integrated management center 11 will output the problem situation.

[0034] If the parking situation is abnormal, and it occurs in maintenance and construction section 6, it is not considered abnormal. Furthermore, if a pedestrian from a normal road section enters maintenance and construction section 6, it is not considered abnormal parking. At the same time, information processing unit 4 will also send the vehicle speed and location of maintenance and construction section 6 to the mobile phones of drivers of vehicles along the route via voice, images, videos, or text.

[0035] Example 2 like Figure 1 , Figure 2 As shown, a highway inspection method is characterized by including at least: cameras distributed along the highway, each camera including a location code corresponding to the geographical location of the highway along the route; and an integrated management center, which includes at least one function: sending a command to have the cameras on the managed route acquire image information of the managed route, processing the collected image information to obtain the traffic information status along the route, and realizing an automatic highway command-time inspection process.

[0036] The integrated management center includes an information collection unit and an information processing unit. The information collection unit and the information processing unit are electrically connected to the network. The information processing unit is electrically connected to the network of cameras along the highway. The cameras distributed along the highway acquire images of the field of view extending outward from the central axis of the camera. The information processing unit compares and processes the acquired images with the relevant stored images. When the following situations occur, the integrated management center will output and process the problems that occur along the highway.

[0037] Problems encountered along the highways include, but are not limited to, the following five types: (1) Abnormal parking on normal road sections; if parking is on a road section under maintenance or construction, it is not considered abnormal.

[0038] (2) If a pedestrian enters a normal section of the road, it is not considered abnormal if the pedestrian is in a maintenance or construction section.

[0039] (3) Traffic congestion.

[0040] (4) Detection of vehicles driving in the wrong direction.

[0041] (5) Weather events such as fog and snow accumulation on roads.

[0042] The integrated management center sends a command to inspect the line, which then uses cameras along the line to capture images of the line. The collected images are then processed to obtain the traffic information status along the line.

[0043] After receiving the command, each of the cameras 2 distributed along the line acquires a field of view image 9 that extends outward from the central axis. The information processing unit 4 compares the acquired image with the relevant stored images. When a problem occurs, the integrated management center 11 will output the problem situation.

[0044] If the problem involves traffic congestion on a section of Highway 1, the network center will broadcast text messages or drive recorder outputs to vehicles within 20 kilometers of the congestion location.

[0045] Traffic congestion location 10 may be a location where a vehicle accident occurs. Timely detection of this accident can help traffic and the accident victims.

[0046] Example 3 Examples 1 and 2 illustrate two scenarios in automatic patrol. Of course, these two examples are not exhaustive of the invention, as weather events such as fog and snow accumulation on roads frequently occur. In these situations, the information processing unit 4 will send SMS messages or driving recorder output information to the vehicles via broadcast from the network center.

[0047] This invention typically employs the following technical solutions for acquiring images: smoothly zooming in or out on the camera's focal point; maintaining a consistent road width at the focal point on the display during patrols; and stitching together patrol footage from multiple cameras for display.

[0048] In reality, the problems encountered along the highways are reported in the inspection reports, and these problems may be one, several, or all of them.

[0049] The automated inspection process of this invention is more time-saving, labor-saving, and cost-effective than existing manual inspections, and provides safe, anytime, anywhere patrols. Simultaneously, these cameras can acquire various information along the highway section in real time, notifying vehicles traveling along the highway of necessary information to prevent unnecessary traffic accidents.

[0050] The application of the technology of this invention will make the occurrence of accidents or situations along highways clear at a glance, enabling managers to handle emergency events more quickly and accurately.

Claims

1. A highway inspection method, characterized in that, at least include: Cameras distributed along the highway include a location code for each camera, corresponding to the geographical location of the highway. The system also includes a comprehensive management center, comprising an information collection unit and an information processing unit. The information collection unit and the information processing unit are electrically connected to a network, and the information processing unit is electrically connected to the network of cameras along the highway. The comprehensive management center is responsible for sending at least one command to the cameras along the managed route to acquire image information. It processes the collected image information to obtain the traffic information status along the route, which is then recorded and stored in the comprehensive management center. The comprehensive management center analyzes and processes the images from the cameras distributed along the highway. When an anomaly is found between the image acquired by a camera and the nearest historical record, the camera at the location of the anomaly rotates and refocuses to capture the maximum scene at the location, and feeds this information back to the comprehensive management center for intervention.

2. The highway inspection method according to claim 1, characterized in that, The cameras at the aforementioned locations with anomalies will rotate and focus to capture the maximum scene at the location. Cameras distributed along the route will capture images of the field of view extending outward from the central axis of the camera. The information processing unit will compare and process the acquired images with the stored related images. When the following situations occur, the integrated management center will output and process the problems that occur along the highway.

3. The highway inspection method according to claim 2, characterized in that, Problems encountered along the highways include, but are not limited to, these five: (1) Abnormal parking on normal road sections; if parking is on a road section under maintenance or construction, it is not considered abnormal. (2) If a pedestrian enters a normal section of the road, it is not considered abnormal if the pedestrian is in a maintenance or construction section. (3) Traffic congestion. (4) Detection of vehicles driving in the wrong direction. (5) Weather events such as fog and snow accumulation on roads.

4. The highway inspection method according to claim 2, characterized in that, The camera acquires a field of view image extending outward from the camera's central axis or smoothly zooms in or out based on the distance of the camera's focus; ensuring that the road width at the focus position remains consistent on the display during patrol.

5. A highway inspection method according to claim 2, characterized in that, The image information obtained by the comprehensive management center 11 is displayed by stitching together the patrol footage from multiple cameras.

6. A highway inspection method according to claim 3, characterized in that, The problems that occur along the highway are not considered abnormal if they are due to abnormal parking or if the pedestrians enter the road in a maintenance or construction section.

7. A highway inspection method according to claim 3, characterized in that, If the problem encountered along the highway is traffic congestion, the network center will send text messages or drive recorder output information to vehicles within 20 kilometers of the traffic congestion location via broadcast.

8. A highway inspection method according to claim 3, characterized in that, If the problem encountered along the highway is that vehicles are driving in the wrong direction, the network center will send text messages or driving recorder output information to vehicles within 10 kilometers of the traffic congestion location via broadcast; at the same time, the voice output unit in the camera will issue an emergency notification to the vehicles driving in the wrong direction.

9. A highway inspection method according to claim 3, characterized in that, If the problems encountered along the highway are weather events such as fog or snow accumulation on the road, the network center will send text messages or drive recorder output information to vehicles within 50 kilometers of the traffic congestion location via broadcast.

10. A highway inspection method according to claim 3, characterized in that, The problems encountered along the highways mentioned are one, several, or all of them.

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