Image processing method and device, storage medium and electronic equipment

Abstract

The invention discloses an image processing method and device, a storage medium and electronic equipment, and relates to the technical field of image processing.The method comprises the steps that a first image of a vehicle parked at a target position is obtained based on a dual-domain private network, and one or more cameras used for collecting vehicle appearance information in an omnibearing mode are arranged at the target position; when it is monitored that the moving object passes through the vehicle, a second image of the vehicle is obtained; and comparing the first image with the second image to judge whether the vehicle is abnormal or not. Compared with the prior art, the method has the advantages that the images of the vehicle parked at the target position at different moments are acquired and compared to judge whether the vehicle is abnormal or not, image information acquisition is performed only when the moving object is monitored, continuous video data acquisition and analysis are avoided, and the accuracy of video data acquisition is improved. The consumption of computing resources is reduced, the safety of vehicle parking is improved, and meanwhile, the data transmission is safer and quicker by using the dual-domain private network.

Description

Technical Field

[0001] The present application relates to the field of image processing technology, and in particular to an image processing method, device, storage medium and electronic device. Background Art

[0002] In order to meet users' needs for safe and convenient parking, the intelligent parking lot management system can monitor vehicles in parking spaces, and promptly alarm when abnormal situations such as theft, vandalism (such as towing away vehicles, smashing windows, damaging vehicles, graffiti, punctured tires, fires, etc.) are discovered, and users are notified of abnormal vehicle conditions to improve the safety and management efficiency of parking lots.

[0003] Currently, vehicles in parking spaces can be recorded during parking and uploaded to the parking space identification monitoring management system for identification and management. By continuously collecting and analyzing video data, it is possible to confirm whether the vehicle has any abnormal conditions. However, this method requires continuous analysis of video data, which results in a large waste of computing resources. Summary of the invention

[0004] In view of this, the present application provides an image processing method, device, storage medium and electronic device, the main purpose of which is to improve the current technical problem that in order to monitor abnormal conditions of vehicles, it is necessary to continuously analyze video data, resulting in a waste of a large amount of computing resources.

[0005] In a first aspect, the present application provides an image processing method, comprising:

[0006] Based on the dual-domain private network, a first image of a vehicle parked at a target location is acquired, where one or more cameras for collecting all-round appearance information of the vehicle are arranged at the target location;

[0007] When a moving object is detected passing the vehicle, acquiring a second image of the vehicle;

[0008] By comparing the first image and the second image, it is determined whether the vehicle has any abnormality.

[0009] In a second aspect, the present application provides an image processing device, comprising:

[0010] An acquisition module is configured to acquire a first image of a vehicle parked at a target location based on the dual-domain private network, wherein the target location is provided with one or more cameras for collecting all-round appearance information of the vehicle;

[0011] A monitoring module, configured to acquire a second image of the vehicle after detecting a moving object passing through the vehicle;

[0012] The comparison module is configured to determine whether an abnormal situation occurs in the vehicle by comparing the first image and the second image.

[0013] In a third aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the method described in the first aspect is implemented.

[0014] In a fourth aspect, the present application provides an electronic device, comprising a storage medium, a processor, and a computer program stored on the storage medium and executable on the processor, wherein the processor implements the method described in the first aspect when executing the computer program.

[0015] In a fifth aspect, the present application provides a computer program product having a computer program stored thereon, wherein the computer program implements the method described in the first aspect when executed by a processor.

[0016] By means of the above technical solution, the present application provides an image processing method, device, storage medium and electronic device, which first obtains a first image of a vehicle parked at a target location based on a dual-domain private network, wherein the target location is provided with one or more cameras for collecting vehicle appearance information in all directions; when a moving object is detected passing by the vehicle, a second image of the vehicle is obtained; and then by comparing the first image and the second image, it is determined whether the vehicle is abnormal. Compared with the current prior art, the present application obtains images of the vehicle parked at the target location at different times and compares them to determine whether the vehicle is abnormal. Image information collection is only required when a moving object is detected, thus avoiding continuous video data collection and analysis, reducing the consumption of computing resources, and improving the safety of vehicle parking. At the same time, the dual-domain private network is used to make data transmission safer and faster.

[0017] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0019] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0020] Figure 1 A schematic diagram of a process flow of an image processing method provided in an embodiment of the present application is shown;

[0021] Figure 2 A schematic diagram showing an example provided by an embodiment of the present application;

[0022] Figure 3 A schematic diagram showing a flow chart of another image processing method provided in an embodiment of the present application is shown;

[0023] Figure 4 A schematic diagram showing an example provided by an embodiment of the present application;

[0024] Figure 5 A schematic diagram showing an example provided by an embodiment of the present application;

[0025] Figure 6 A schematic diagram of an example process provided by an embodiment of the present application is shown;

[0026] Figure 7 A schematic structural diagram of an image processing device provided in an embodiment of the present application is shown. DETAILED DESCRIPTION

[0027] The embodiments of the present application will be described in more detail below with reference to the accompanying drawings. It should be noted that the embodiments and features in the embodiments of the present application can be combined with each other without conflict.

[0028] In order to improve the current technical problem that in order to monitor abnormal conditions of vehicles, it is necessary to continuously analyze video data, resulting in a large waste of computing resources. This embodiment provides an image processing method, such as Figure 1 As shown, the method includes:

[0029] Step 101: Acquire a first image of a vehicle parked at a target location based on a dual-domain private network.

[0030] Among them, the target location can be a dedicated location for parking vehicles set up in scenes such as parking lots and garages. There are one or more cameras around it that can be used to collect all-round information about the vehicle's appearance. These cameras can be fixed cameras or rotatable and zoomable cameras, so as to more flexibly capture images of the target area. They can be used to monitor the situation of the entire parking space, and promptly discover and deal with abnormal situations such as vehicle damage and theft. This not only improves the convenience and safety of parking, but also brings additional convenience and protection to users (car owners) and / or parking lot managers.

[0031] Exemplarily, after the camera recognizes that the vehicle is parked at the target location, a 360° photo of the vehicle is taken and stored to obtain a first image of the vehicle, wherein the first image may include appearance information of the vehicle.

[0032] In some examples, dual-domain private network is an innovative network architecture design that aims to integrate the resources and advantages of public and private networks through specific network technologies and equipment, such as network slicing, encrypted communication, and physical or logical isolation technology, so that users can switch freely between the two domains while ensuring their respective security isolation and efficient communication. Among them, the public network refers to a network that can be accessed in a public environment, such as the Internet, and the private network refers to a network that is only used in a specific environment, such as an enterprise intranet or campus network. The dual-domain private network is mainly based on the fifth generation mobile communication technology (5th Generation Mobile Communication Technology, 5G) technology, providing users with a network environment that can both securely access the internal system of the enterprise and seamlessly access the Internet. For enterprise users, using a dual-domain private network as a bearer network allows users to securely access the enterprise intranet anywhere and process sensitive information without relying on traditional virtual private network (VPN) connections, greatly improving the convenience and security of mobile office.

[0033] For example, Figure 2 As shown, all devices in the underground parking lot are accessed through the current wireless network and connected to the local data network (Data Network, DN) through an exclusive user plane function (User Plane Function, UPF). After the camera captures the first image of the vehicle, the image can be transmitted to the local server system through the dual-domain private network exclusive to the park. Specifically, the dual-domain private network includes access and mobility management function (Access and MobilityManagement Function, AMF), policy control function (Policy Control Function, PCF), session management function (Session Management Function, SMF) and UPF. Among them, AMF is responsible for access management and mobility management, including user authentication, registration and session establishment functions; PCF provides policy control services to determine network resource allocation and service flow priority; manages session status through SMF to support the establishment, modification and release of user plane traffic; uses UPF to process user plane data packet forwarding and implements quality of service (Quality of Service, QoS) policy and routes the data to the appropriate DN.

[0034] Step 102: When a moving object is detected passing by the vehicle, a second image of the vehicle is acquired.

[0035] For example, Figure 2 As shown, the local DN includes a vehicle identification module, a general control module, an image comparison module and a moving object identification module. The general control module comprehensively processes various data, makes decisions and coordinates the work of other modules. Specifically, the vehicle identification module can analyze the image data to identify the vehicle type, license plate number and other relevant information, determine the subsequent comparison and analysis of the same vehicle, match the user with the vehicle and store the matching information in the background. Through the moving object identification module, the moving objects (such as vehicles, pedestrians, bicycles, etc.) in the image are identified by using recognition algorithms (such as background subtraction algorithms, feature matching algorithms, etc.), and it is determined whether there are moving objects passing around the vehicle. After the moving object passes the vehicle, the vehicle is re-photographed at 360° to obtain a second image of the vehicle. By re-photographing at 360°, the situation around the vehicle can be fully covered to ensure that no details are missed, and information is only collected when a moving object is detected, avoiding continuous video data collection and analysis, which can effectively save computing resources.

[0036] Step 103: Determine whether the vehicle has any abnormality by comparing the first image and the second image.

[0037] For example, the image comparison module can be used to compare the current image (second image) with the historical record or other reference image (first image) to detect changes in the vehicle in the image and determine whether it is an abnormal situation (such as towing the vehicle, smashing the window, damaging the vehicle, smearing paint, puncturing the tire, fire, etc.). If there are obvious signs of damage, the video of the moving object passing by is saved, and the user and / or management personnel are notified to issue an alarm.

[0038] Compared with the current existing technology, by applying the technical solution of this embodiment, firstly, based on the dual-domain private network, a first image of a vehicle parked at a target location is obtained, wherein the target location is provided with one or more cameras for collecting vehicle appearance information in all directions; when a moving object is detected passing by the vehicle, a second image of the vehicle is obtained; and then by comparing the first image and the second image, it is determined whether the vehicle is abnormal. By obtaining images of the vehicle parked at the target location at different times and comparing them, it is determined whether the vehicle is abnormal. Image information collection is only performed when a moving object is detected, which avoids continuous video data collection and analysis, reduces the consumption of computing resources, improves the safety of vehicle parking, and uses the dual-domain private network to make data transmission safer and faster.

[0039] In order to further illustrate the specific implementation process of the method of this embodiment, this embodiment provides the following Figure 3 The specific method shown includes:

[0040] Step 201: Acquire a first image of a vehicle parked at a target location based on a dual-domain private network.

[0041] In some examples, the use of a dual-domain private network as the bearer network of the method of this embodiment can achieve more stable data upload and support access by multiple terminal devices. Whether it is a desktop computer, tablet computer or smart phone, it can easily receive real-time video information. In addition, the dual-domain private network can support high-definition video transmission and provide clear video images, which is conducive to more detailed observation and analysis of the situation in the monitored area. Compared with traditional Wi-Fi equipment, the use of 5G-A dedicated base station equipment is more stable and reliable; and data is transmitted more securely. Using 5G-A dedicated base station equipment, the signal is difficult to be hijacked during the backhaul process, and the security of the system is guaranteed; exclusive UPF can also make the transmission speed faster, ensuring that the relevant data can be responded and transmitted at the millisecond level.

[0042] For example, one or more cameras are set at the target location to collect all-round information about the vehicle's appearance. This all-round camera coverage enables the system to more accurately detect and analyze signs of damage. The deployment of the cameras can be as follows: Figure 4 As shown, the top camera can monitor the top of the vehicle, including the lights, license plate, windshield and other areas as well as the surrounding environment; the bottom camera can monitor the area below the bumper, near the wheels and under the chassis; the cameras on both sides can be used to monitor the side areas of the vehicle, including the doors, side windows, rearview mirrors and nearby pedestrians or objects. In this way, after the cameras around the vehicle detect that the vehicle has parked at the target position and is in a parking state, the vehicle can be photographed from multiple angles to obtain a first image, and the first image can be retained as comparison data.

[0043] Step 202: When a moving object is detected passing by the vehicle, a second image of the vehicle is acquired.

[0044] For example, after a moving object is initially detected, multiple cameras can be triggered to simultaneously or sequentially capture multiple images of different angles and details. The vehicle can be captured from different angles through multiple images to ensure that the key features of the vehicle are captured in all directions. Multiple images can also be captured continuously over a period of time to form a small image sequence, which is helpful for observing the change process of the vehicle.

[0045] Optionally, step 202 may specifically include: after a moving object is detected at the target location by a parking lot camera, one or more cameras set at the target location are started to re-capture an image of the vehicle to obtain a second image.

[0046] For example, image recognition or video analysis technology can be used to monitor moving objects in the video stream captured by the parking lot camera in real time, including monitoring the movement, shape, speed and other characteristics of the object. When the camera detects that a moving object passes by the vehicle, the system can determine whether it is necessary to start the camera set at the target position to collect images based on preset trigger conditions (such as object distance, movement speed, dwell time, etc.), and take pictures around the vehicle again. If there is no moving object passing by the vehicle, the monitoring continues.

[0047] Step 203: Analyze whether there are obvious differences and damage signs between the first image and the second image.

[0048] For example, Figure 5 As shown, the moving object recognition module analyzes the video acquisition data, and once a moving object is detected passing by, the image comparison module is called to compare and analyze the images before and after the moving object passes by.

[0049] For example, during the comparative analysis, if it is found that there are obvious differences between the new photo (second image) and the reference photo (first image), such as color anomalies, shape changes, etc., and the differences are obvious and meet the characteristics of damage, then it can be considered that there are signs of damage between the two images. For example, before a moving object passes by, the door part of the car is in a normal state without visible scratches or damage, and after the moving object passes by, obvious scratches appear on the door, then it can be determined that the door part has obvious signs of damage after the moving object passes by.

[0050] Step 204: If obvious differences and signs of damage are found through comparison, it is determined that the vehicle has an abnormal condition.

[0051] Optionally, step 204 may specifically include: determining the damaged part and abnormality type of the vehicle according to the difference between the first image and the second image and the damage signs.

[0052] In some examples, the parts of the photos where abnormalities occur can be compared and analyzed. Specifically, the vehicle is divided into different parts, such as the body, chassis, engine compartment, wheels, etc., and then the parts of the photos where abnormalities occur are compared and analyzed, such as color changes, shape distortions, scratches, dents, etc. If obvious abnormalities occur, the damaged parts of the vehicle and the type of abnormality (such as stolen vehicles, broken windows, scratched doors, damaged tires, etc.) can be judged based on the abnormal image. According to the specific circumstances of the abnormal image, the damaged parts of the vehicle and the type of abnormality can be further judged. For example, if the photo shows that the wheels have obvious scratches and dents, it can be judged that the wheels have been hit; if the color of a part of the body is inconsistent with the surrounding color, it may be scratched or the paint is damaged.

[0053] Optionally, the method of this embodiment may further include: intercepting a video of a moving object passing by a vehicle from a surveillance video captured by a parking lot camera and saving it specifically; and sending feature data of the video and / or the moving object to a user via a dual-domain private network.

[0054] In the embodiments of the present disclosure, Figure 6 As shown, firstly, the vehicle is subjected to 360° all-round data collection. After monitoring a moving object approaching the vehicle, the vehicle is subjected to 360° all-round data collection again and compared with the previous data to check whether there are obvious signs of damage. If there are signs of damage, the video of the moving object passing through the vehicle is specially intercepted and saved. Through a special video interception and saving mechanism, it can be ensured that only relevant video clips are retained, thereby reducing the storage of invalid data and improving the security of data management. For example, the video of the time period from the recognition of the moving object to the shooting of the second image can be intercepted in the monitoring video, and a 5G message can be sent through the dual-domain private network to notify the corresponding personnel (users or staff). The saved video clips and images can be used as evidence to help users provide support when needed. At the same time, image processing technology is used to collect the characteristic data of the moving object. These characteristic data may include the speed, direction, trajectory, size, etc. of the moving object, and the extracted characteristic data is saved in the database for subsequent analysis and comparison.

[0055] In some examples, after initially detecting a moving object, the system can further confirm whether the movement is related to the vehicle and can analyze whether the location where the anomaly appears in the image matches the path of the moving object. If the anomaly is located on the door and the path of the moving object does pass through that location, then the anomaly is likely caused by the moving object.

[0056] In some examples, the system can automatically compare newly taken photos with previous photos to detect whether there are obvious signs of damage. Once signs of damage are found, the system can automatically save relevant videos and photos. The videos and photos of moving objects saved by the system can be retained as evidence to help with subsequent investigations and processing. Then the user is notified through SMS, email or application (Application, APP) push, etc. The user can learn about the vehicle's situation in a timely manner through the notification received, and take corresponding measures to safeguard their rights and interests and resolve disputes, thereby improving the safety and management efficiency of the parking lot. The dual-domain private network can provide a secure data transmission channel to ensure that video and feature data are not illegally intercepted or tampered with during transmission. By centrally managing the video surveillance system, simplifying operation and maintenance work, it can also more easily implement fine-grained permission control to ensure that only authorized users can access specific video streams. It can also make more efficient use of bandwidth resources and reduce communication costs.

[0057] Optionally, the method of this embodiment may further include: synchronizing the real-time video information corresponding to the target location to the user's terminal via the dual-domain private network.

[0058] In some examples, user terminals access the dual-domain private network through the 5G network without complex network configuration or switching, and the dual-domain private network can use advanced encryption technology to protect the security of data during transmission and prevent data from being eavesdropped or tampered with. During parking, users can view real-time video information of parking spaces through the terminal. The video information is transmitted through the 5G network. The high bandwidth and low latency characteristics of the 5G network can quickly transmit real-time video information to the user's terminal device to ensure the real-time and clarity of the video information. Users can play, pause, fast forward, rewind and other operations of video information through the terminal to interact with the video information, and instantly know what is happening around the vehicle, which enhances the user's sense of security and promptly receives alarm information in the event of abnormal situations such as theft and damage to the vehicle. Using the dual-domain private network to synchronize real-time video information can not only improve the security, reliability and efficiency of the monitoring system, but also provide a better user experience. It is suitable for various application scenarios that require high security and instant response.

[0059] Compared with the current existing technology, by applying the technical solution of this embodiment, by obtaining images of vehicles parked at the target location at different times and comparing them, it is determined whether the vehicle has an abnormal situation. Image information collection is only required when a moving object is detected, avoiding continuous video data collection and analysis, reducing the consumption of computing resources, and improving the safety of vehicle parking. The high bandwidth and low latency characteristics provided by the 5G dual-domain private network ensure efficient and secure data transmission. It also simplifies the operation of network access. Users can switch between public and private networks without a complicated login process. At the same time, it also provides convenience in network management, making network operation and maintenance more efficient and controllable, enhancing user experience, and being able to automatically complete tasks such as monitoring, comparison and alarm, greatly saving labor costs.

[0060] Further, as Figure 1 and Figure 3 The specific implementation of the method shown in the embodiment provides an image processing device, such as Figure 7 As shown, the device includes: an acquisition module 31, a monitoring module 32, and a comparison module 33.

[0061] The acquisition module 31 is configured to acquire a first image of a vehicle parked at a target location based on the dual-domain private network, where one or more cameras for collecting all-round appearance information of the vehicle are arranged at the target location;

[0062] The monitoring module 32 is configured to acquire a second image of the vehicle after detecting a moving object passing through the vehicle;

[0063] The comparison module 33 is configured to determine whether an abnormality occurs to the vehicle by comparing the first image with the second image.

[0064] In some examples of this embodiment, the monitoring module 32 is specifically configured to start one or more cameras set at the target location to re-capture the image of the vehicle after detecting the presence of a moving object at the target location through a parking lot camera to obtain the second image.

[0065] In some examples of this embodiment, the comparison module 33 is specifically configured to analyze whether there are obvious differences and signs of damage between the first image and the second image; if obvious differences and signs of damage are found through comparison, it is determined that the vehicle has an abnormal condition.

[0066] In some examples of this embodiment, the comparison module 33 is further configured to determine the damaged part and abnormality type of the vehicle according to the difference between the first image and the second image and the damage signs.

[0067] In some examples of this embodiment, the comparison module 33 is further configured to capture the video of the moving object passing by the vehicle from the surveillance video captured by the parking lot camera and save it specifically; and send the video and / or the feature data of the moving object to the user through the dual-domain private network.

[0068] In some examples of this embodiment, the monitoring module 32 is further configured to synchronize the real-time video information corresponding to the target location to the user's terminal through the dual-domain private network.

[0069] It should be noted that the image processing device provided in this embodiment and other corresponding descriptions of the functional units involved can be referred to in Figure 1 and Figure 3 The corresponding description in will not be repeated here.

[0070] Based on the above Figure 1 and Figure 3 The method shown in the embodiment also provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the above-mentioned Figure 1 and Figure 3 The method shown.

[0071] Based on this understanding, the technical solution of the present application can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, USB flash drive, mobile hard disk, etc.), including a number of instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to execute the methods of various implementation scenarios of the present application.

[0072] Based on the above Figure 1 and Figure 3 The method shown, and Figure 7 In order to achieve the above-mentioned purpose, the embodiment of the present application also provides an electronic device, such as a personal computer, a server, a laptop computer, an intelligent robot or other intelligent terminal, which includes a storage medium and a processor; the storage medium is used to store a computer program; the processor is used to execute the computer program to achieve the above-mentioned Figure 1 and Figure 3 The method shown.

[0073] Optionally, the above-mentioned physical device may also include a user interface, a network interface, a camera, a radio frequency (RF) circuit, a sensor, an audio circuit, a WI-FI module, etc. The user interface may include a display, an input unit such as a keyboard, etc., and the optional user interface may also include a USB interface, a card reader interface, etc. The network interface may optionally include a standard wired interface, a wireless interface (such as a WI-FI interface), etc.

[0074] Those skilled in the art will appreciate that the above-mentioned physical device structure provided in this embodiment does not constitute a limitation on the physical device, and may include more or fewer components, or a combination of certain components, or different arrangements of components.

[0075] The storage medium may also include an operating system and a network communication module. The operating system is a program that manages the hardware and software resources of the above-mentioned physical device, and supports the operation of the information processing program and other software and / or programs. The network communication module is used to realize the communication between the components inside the storage medium, and the communication with other hardware and software in the information processing physical device.

[0076] Through the description of the above implementation methods, the technicians in this field can clearly understand that the present application can be implemented by means of software plus the necessary general hardware platform, or by hardware. By applying the scheme of this embodiment, compared with the current existing technology, the method of this embodiment obtains and compares the images of the vehicle parked at the target position at different times to determine whether the vehicle is abnormal. It only needs to collect image information when a moving object is detected, avoiding continuous video data collection and analysis, reducing the consumption of computing resources, and improving the safety of vehicle parking. At the same time, the high bandwidth and low latency characteristics provided by the 5G dual-domain private network ensure the efficiency and security of data transmission. And it simplifies the operation of network access. Users can switch between public and private networks without a complicated login process. At the same time, it also provides convenience in network management, making network operation and maintenance more efficient and controllable, and enhancing user experience. It can meet the needs of government and enterprise users for safe and efficient mobile office, and demonstrates the potential for wide application of 5G technology in vertical industries.

[0077] It should be noted that, in this article, relational terms such as "first" and "second" are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0078] The above is only a specific implementation of the present application, so that those skilled in the art can understand or implement the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments described herein, but will conform to the widest scope consistent with the principles and novel features applied for herein.

Claims

1. An image processing method, characterized in that: include: Based on the dual-domain private network, a first image of a vehicle parked at a target location is acquired, where one or more cameras for collecting all-round appearance information of the vehicle are arranged at the target location; When a moving object is detected passing the vehicle, acquiring a second image of the vehicle; By comparing the first image and the second image, it is determined whether the vehicle has any abnormality.

2. The method according to claim 1, characterized in that When a moving object is detected passing the vehicle, acquiring a second image of the vehicle includes: After the parking lot camera detects the presence of a moving object at the target location, one or more cameras set at the target location are started to re-capture the image of the vehicle to obtain the second image.

3. The method according to claim 1, characterized in that The comparing the first image and the second image to determine whether the vehicle is abnormal includes: analyzing whether there are obvious differences and signs of damage between the first image and the second image; If obvious differences and signs of damage are found through comparison, it is determined that the vehicle has an abnormal condition.

4. The method according to claim 3, characterized in that If obvious differences or signs of damage are found through comparison, it is determined that the vehicle has an abnormality, including: The damaged part and abnormality type of the vehicle are determined according to the difference between the first image and the second image and the damage signs.

5. The method according to claim 1, characterized in that After determining that the vehicle has an abnormal condition, the method further includes: Intercepting the video of the moving object passing by the vehicle from the surveillance video captured by the parking lot camera and saving it specially; The video and / or the feature data of the moving object are sent to the user via the dual-domain private network.

6. The method according to claim 1, characterized in that The method further comprises: The real-time video information corresponding to the target location is synchronized to the user's terminal through the dual-domain private network.

7. An image processing device, characterized in that: include: An acquisition module is configured to acquire a first image of a vehicle parked at a target location based on the dual-domain private network, wherein the target location is provided with one or more cameras for collecting all-round appearance information of the vehicle; A monitoring module, configured to acquire a second image of the vehicle after detecting a moving object passing through the vehicle; The comparison module is configured to determine whether an abnormal situation occurs in the vehicle by comparing the first image and the second image.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 6 is implemented.

9. An electronic device comprising a storage medium, a processor, and a computer program stored in the storage medium and executable on the processor, characterized in that: When the processor executes the computer program, the method according to any one of claims 1 to 6 is implemented.

10. A computer program product having a computer program stored thereon, characterized in that: When the computer program product is executed by a processor, the method according to any one of claims 1 to 6 is implemented.

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