A method for intelligent information collection

Abstract

This application provides a method for intelligent information collection. The method includes: in response to vehicle startup, collecting real-time information from inside or outside the vehicle at preset intervals; determining whether a traffic accident exists based on the real-time information; if so, collecting accident image information; and sending the accident information to a cloud platform. This method enables the vehicle's infotainment system to intelligently determine traffic accidents and provide evidence to relevant platforms, thereby improving the efficiency of traffic accident handling by relevant departments.

Description

Technical Field

[0001] This application relates to the automotive field, and more particularly to a method for intelligent information collection. Background Technology

[0002] In recent years, nearly 200,000 traffic accidents occur annually in my country, causing numerous casualties and property losses. Collecting information from accident scenes has always been a major challenge for relevant personnel. Due to numerous blind spots in traffic surveillance, technical staff are unable to collect evidence in a timely manner during many emergency situations, thus affecting their ability to determine the type of accident and liability.

[0003] Currently, relevant personnel mainly rely on video information recorded by dashcams and road surveillance cameras to determine the type of accident and liability. However, the evidence collection process for technical personnel is extremely cumbersome. Therefore, providing relevant personnel with more comprehensive traffic accident information and reducing their workload is an urgent problem that needs to be solved by those skilled in the art. Summary of the Invention

[0004] This application provides a method for intelligent information collection, which enables the vehicle system to intelligently judge traffic accidents and provide traffic accident evidence to relevant platforms, thereby improving the efficiency of relevant departments in handling traffic accidents.

[0005] In a first aspect, embodiments of this application provide a method for intelligent information collection, characterized in that it is applied to an in-vehicle infotainment system, and the method may include the following steps:

[0006] In response to vehicle startup, real-time information is collected from inside or outside the vehicle at preset intervals;

[0007] Determine whether a traffic accident has occurred based on real-time information;

[0008] If the determination is yes, then collect accident image information;

[0009] Accident information, including accident images, is sent to the cloud platform.

[0010] Secondly, embodiments of this application provide a vehicle that includes a vehicle-mounted system as described in the first aspect, the vehicle-mounted system including a data acquisition module, an analysis module, and a communication module;

[0011] The data acquisition module is used to collect real-time information inside or outside the vehicle at preset intervals;

[0012] The analysis module is used to determine whether a traffic accident has occurred based on real-time information;

[0013] The acquisition module is also used to acquire accident image information when a traffic accident occurs;

[0014] The communication module is used to send accident information to the cloud platform, which includes accident image information.

[0015] Thirdly, embodiments of this application provide a vehicle, characterized in that the vehicle comprises:

[0016] The processor, memory, and I / O interface are communicatively connected, wherein the memory is used to store a set of program code, and the processor is used to call the program code stored in the memory to execute the method as described in any of the first aspects.

[0017] Fourthly, embodiments of this application provide a computer-readable storage medium, characterized in that it stores a computer program for electronic data interchange, wherein the computer program causes a computer to perform the method as described in any of the first aspects.

[0018] By implementing the embodiments of this application, the vehicle system can intelligently judge traffic accidents and provide evidence of traffic accidents to relevant platforms, which is conducive to improving the efficiency of relevant departments in handling traffic accidents. Attached Figure Description

[0019] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0020] Figure 1 This is a flowchart illustrating an intelligent information collection method provided in an embodiment of this application;

[0021] Figure 2 This is a schematic diagram of the composition of a vehicle provided in an embodiment of this application;

[0022] Figure 3 This is a schematic diagram of another vehicle configuration provided in an embodiment of this application. Detailed Implementation

[0023] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0024] The terms "first," "second," "third," and "fourth," etc., used in the specification, claims, and accompanying drawings of this application are used to distinguish different objects, not to describe a specific order. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or apparatus that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to these processes, methods, products, or apparatuses.

[0025] In this document, the term "embodiment" means that a particular feature, result, or characteristic described in connection with an embodiment may be included in at least one embodiment of this application. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0026] Below, in conjunction with Figure 1 and Figure 2 The steps described below provide a detailed explanation of a Bluetooth sharing method provided in the embodiments of this application.

[0027] Please see Figure 1 This is a flowchart illustrating an intelligent information collection method provided in an embodiment of this application, applied to an in-vehicle infotainment system, and may include the following steps:

[0028] S101, in response to vehicle startup, collects real-time information inside or outside the vehicle at preset intervals.

[0029] In one possible implementation, the aforementioned real-time information may include in-vehicle or out-of-vehicle image information, in-vehicle or out-of-vehicle voice information, and vehicle status information. The vehicle status information may include emergency braking status.

[0030] For example, if the preset period is 30 seconds, the vehicle system will collect real-time information about the inside or outside of the vehicle every 30 seconds. It should be noted that the preset period is set by technicians based on actual conditions and is not limited here. In one implementation, real-time information about the outside of the vehicle is collected via a dashcam or an external camera, while real-time information about the inside of the vehicle is collected via an internal camera and voice device.

[0031] S102, determine whether a traffic accident exists based on the real-time information.

[0032] Specifically, the vehicle's infotainment system can determine whether a traffic accident has occurred by assessing whether pre-set actions are present in the live video feed, whether pre-set words are present in the live audio feed, whether the decibel level of the live audio feed exceeds a preset value, and whether the vehicle is in a preset state. It should be noted that examples of specific assessment methods can be found in [reference needed]. Figure 2 Detailed description of the embodiments.

[0033] S103, if the determination is yes, then collect accident image information.

[0034] It should be noted that the aforementioned accident image information can be either photographic or video information. For photographic information, the vehicle's infotainment system can sample accident images from the scene at preset time intervals; for video information, the system can begin recording accident video for a preset duration when it determines that a traffic accident has occurred.

[0035] For example, if the accident image information is collected and presented in the form of pictures, the vehicle system will take pictures of the accident scene at preset time intervals (e.g., 0.5 seconds) after determining that a traffic accident has occurred. If the accident image information is sampled and presented in the form of video, the vehicle system will start recording accident video for a preset duration (e.g., 1 minute) after determining that a traffic accident has occurred. At the same time, it can extract video from a preset time period before the traffic accident is determined, and use it together as the accident video. For example, using the time when the traffic accident is determined as a node, the video recorded by the dashcam or external camera within 5 minutes before and 5 minutes after the determination can be extracted as the collected accident image information.

[0036] Specifically, the examples of accident image information formats given above are merely for the reader's convenience in understanding the methods of this application and should not be construed as limiting the application. The specific format of the accident image information and the acquisition frequency, etc., shall be determined by those skilled in the art based on actual circumstances and are not limited herein.

[0037] More often than not, if the judgment is negative, the vehicle system can delete the previously collected real-time information to avoid putting pressure on the vehicle system's memory, which is conducive to the normal and high-speed operation of the vehicle system.

[0038] S104 sends the accident information to the cloud platform.

[0039] It should be noted that the above-mentioned accident information includes the accident image information mentioned in step S103. Furthermore, the accident information may also include accident location information and / or time information.

[0040] For example, accident information could be accident image information named "Wednesday, March 9, 2022, 12:31, A Road Accident Information". This accident image information could include characteristic information of the vehicles involved in the accident (license plate number, vehicle model, color, and damage details), and / or accident scene information (including the number of vehicles involved, injuries, etc.).

[0041] In one implementation, after receiving accident information, the cloud platform can classify the accidents and then store the information in a preset location according to the classification results. Specifically, accidents can be classified according to the severity of the consequences, such as minor accidents, general accidents, or major accidents, or according to the mode of transportation, such as motor vehicle accidents, non-motor vehicle accidents, or pedestrian accidents. Each type of accident has its own corresponding storage space, and the accident information is saved to the appropriate storage location after classification for future viewing or evidence retrieval.

[0042] In one possible implementation, the method of this application embodiment may further include: sending accident information to a target terminal. The target terminal can be used by a user to view the adoption status of the accident information and / or the processing progress of the traffic accident corresponding to the accident information.

[0043] It should be noted that the target terminal is the target terminal associated with the vehicle in the method of this application embodiment. It can be a mobile terminal such as a mobile phone of the vehicle user, or a large terminal such as a computer. The association between the target terminal and the vehicle can be through remote login of the user account, or through the binding relationship between the vehicle and the user's device (such as a mobile phone, computer, etc.). The specific association method shall be set by the technicians according to the actual situation, and is not limited here.

[0044] For example, if user A's vehicle sends an accident report to the cloud platform via the vehicle's infotainment system, the system can also forward this report to a target terminal (such as user A's mobile phone). User A can then view the detailed accident information on the target terminal, and also find out if the information has been adopted by the traffic police department, as well as track the progress of the accident's processing. Furthermore, if the accident information is adopted, the cloud platform can reward the user's account (with points or bonuses), thus incentivizing user participation in traffic monitoring.

[0045] It can be seen that by implementing the method of this application embodiment, the vehicle-mounted system can intelligently judge traffic accidents and provide evidence of traffic accidents to relevant platforms, which is conducive to improving the efficiency of relevant departments in handling traffic accidents. The reward mechanism of this application embodiment can also improve users' enthusiasm for participating in traffic supervision.

[0046] When determining whether a traffic accident has occurred based on the aforementioned real-time information, the following methods can be used:

[0047] In one possible embodiment, when the real-time information collected by the vehicle system includes images inside or outside the vehicle, the vehicle system can determine whether a traffic accident has occurred by judging whether a preset action is detected in the images inside or outside the vehicle.

[0048] For example, preset actions may include "a person falling to the ground" or "objects scattering" on the road, and may also include expressions of fear on a person's face.

[0049] In another possible embodiment, when the real-time information collected by the vehicle system includes voice information from inside or outside the vehicle, the vehicle system can determine whether a traffic accident has occurred by judging whether preset words are recognized in the voice information from inside or outside the vehicle.

[0050] For example, preset words can include words indicating a car accident, such as "car accident," "something happened," or "crash." They can even be system-preset (or user-defined) words used to control the vehicle's infotainment system to collect accident information. For instance, the system can preset the word "evidence collection," so when the word "evidence collection" is recognized in the voice information inside or outside the vehicle, the infotainment system will collect accident information.

[0051] Furthermore, the vehicle's infotainment system can also determine whether a traffic accident has occurred by judging whether the decibel level of voice information inside or outside the vehicle exceeds a preset value.

[0052] Specifically, since car accidents are often accompanied by loud impacts and cries for help, the decibel values ​​of the collected voice information can also be used as a basis for judgment.

[0053] In another possible embodiment, when the real-time information collected by the vehicle system includes vehicle status information, the vehicle system can determine whether the vehicle status information indicates that the vehicle is in a preset state, and thus determine whether a traffic accident has occurred.

[0054] For example, preset states may include "vehicle emergency braking", "vehicle subjected to a huge impact / collision" or "vehicle damaged".

[0055] More specifically, (1) if the real-time information collected by the vehicle system includes in-vehicle or out-of-vehicle image information and in-vehicle or out-of-vehicle voice information, wherein the in-vehicle or out-of-vehicle image information displays a preset action of "vehicle damage" and the in-vehicle or out-of-vehicle voice information contains the preset word "car accident", then the vehicle system can determine that a traffic accident exists. Alternatively, as long as one piece of real-time information matches the preset condition (preset action in the image information or preset word in the voice information), a traffic accident can be determined to exist. For example, if only the in-vehicle or out-of-vehicle image information displays a preset action and the in-vehicle or out-of-vehicle voice information does not contain a preset word, a traffic accident can also be determined to exist. Similarly, if only the in-vehicle or out-of-vehicle voice information contains a preset word and the in-vehicle or out-of-vehicle image information does not contain a preset action, a traffic accident can also be determined to exist.

[0056] (2) If the real-time information collected by the vehicle system includes in-vehicle or out-of-vehicle image information and vehicle status information, and the in-vehicle or out-of-vehicle image information shows a preset action of "person falling to the ground," and the vehicle is in a state of "emergency braking," then the vehicle system can determine that a traffic accident has occurred. Alternatively, as long as one piece of real-time information matches the preset condition (the preset action in the image information or the preset state of the vehicle status information), a traffic accident can be determined. For example, if only the in-vehicle or out-of-vehicle image information contains the preset action, and the vehicle is not in the preset state, a traffic accident can still be determined. Similarly, if only the vehicle is in the preset state, and the in-vehicle or out-of-vehicle image information does not contain the preset action, a traffic accident can still be determined.

[0057] (3) If the real-time information collected by the vehicle system includes in-vehicle or out-of-vehicle voice information and vehicle status information, wherein the in-vehicle or out-of-vehicle voice information contains the preset word "hit a person" and the vehicle is in the preset state of "the vehicle has suffered a huge impact / collision", then the vehicle system can determine that a traffic accident has occurred. Alternatively, as long as one piece of real-time information matches the preset conditions (the preset word in the voice information or the preset state of the vehicle status information), a traffic accident can be confirmed. For example, if only the in-vehicle or out-of-vehicle voice information contains the preset word and the vehicle is not in the preset state, a traffic accident can still be determined. Similarly, if only the vehicle is in the preset state and the in-vehicle or out-of-vehicle voice information does not contain the preset word, a traffic accident can still be determined.

[0058] (4) If the real-time information collected by the vehicle system includes in-vehicle or out-of-vehicle image information, in-vehicle or out-of-vehicle voice information, and vehicle status information, wherein the in-vehicle or out-of-vehicle image information displays a preset action of "vehicle damage," the in-vehicle or out-of-vehicle voice information contains the preset word "car accident," and the vehicle is in a preset state of "vehicle subjected to a major impact / collision," then the vehicle system can determine that a traffic accident has occurred. Alternatively, as long as any one piece of real-time information matches the preset conditions (preset action in the image information, preset word in the voice information, or preset state of the vehicle status information), a traffic accident can be confirmed. For example, if only the in-vehicle or out-of-vehicle image information displays a preset action, the in-vehicle or out-of-vehicle voice information does not contain a preset word, and the vehicle is not in a preset state, a traffic accident can also be determined. If only the in-vehicle or out-of-vehicle voice information contains a preset word, the in-vehicle or out-of-vehicle image information does not contain a preset action, and the vehicle is not in a preset state, a traffic accident can also be determined. Similarly, a traffic accident can be determined if the vehicle is in a preset state, the image information inside or outside the vehicle does not contain preset actions, and the voice information inside or outside the vehicle does not contain preset words. More often, if two pieces of real-time information match preset conditions (preset actions in the image information, preset words in the voice information, or preset states of the vehicle status information), a traffic accident can also be confirmed, which will not be elaborated on here.

[0059] It should be noted that the examples of preset conditions (preset actions in image information, preset words in voice information, and preset states in vehicle status information) are only for the purpose of enabling readers to understand the methods of the embodiments of this application more clearly, and should not be construed as limiting this application. The specific preset conditions shall be set by the technicians according to the actual situation.

[0060] As can be seen, by implementing the method of this application embodiment, it is possible to analyze the collected accident information and thus determine whether a traffic accident has occurred. The method of this application embodiment, through multi-dimensional judgment principles, improves the accuracy of the vehicle's system in judging accidents.

[0061] The apparatus involved in the embodiments of this application will now be described in conjunction with the accompanying drawings.

[0062] Please see Figure 2 This is a schematic diagram of the composition of a vehicle provided in an embodiment of this application. The vehicle may include, for example: Figure 1 The vehicle infotainment system may include a data acquisition module 210, an analysis module 220, and a communication module 230.

[0063] The data acquisition module 210 can be used to collect real-time information inside or outside the vehicle at preset intervals.

[0064] The analysis module 220 can be used to determine whether a traffic accident has occurred based on real-time information.

[0065] The acquisition module 210 can also be used to acquire accident image information when a traffic accident occurs.

[0066] The communication module 230 can be used to send accident information to the cloud platform. The accident information may include the aforementioned accident image information.

[0067] In one possible implementation, the real-time information may include in-vehicle or out-of-vehicle image information, in-vehicle or out-of-vehicle voice information, and vehicle status information. The vehicle status information may include emergency braking status.

[0068] In another possible implementation, the analysis module 220 can also be used to: determine whether a preset action is recognized in the image information inside or outside the vehicle; determine whether a preset word is recognized in the voice information inside or outside the vehicle; and determine whether the vehicle status information indicates that the vehicle is in a preset state.

[0069] In another possible implementation, the communication module 230 can also be used to send accident information to a target terminal. The target terminal can be used by a user to view the adoption status of the accident information and / or the processing progress of the traffic accident corresponding to the accident information.

[0070] Please see Figure 3 This is a schematic diagram of another vehicle configuration provided in an embodiment of this application, which may include:

[0071] The processor 310, memory 320, and I / O interface 330 are communicatively connected. The memory 320 is used to store instructions, and the processor 310 is used to execute the instructions stored in the memory 320 to achieve the above. Figure 1 The corresponding methods and steps.

[0072] The processor 310 executes the instructions stored in the memory 320 to control the I / O interface 330 to receive and send signals, thus completing the steps in the above method. The memory 320 may be integrated into the processor 310 or may be disposed separately from the processor 310.

[0073] The memory 320 may also include a storage system 321, a cache 322, and RAM 323. The cache 322 is a primary memory located between the RAM 323 and the CPU, composed of static RAM chips (SRAM). It has a relatively small capacity but a much higher speed than main memory, approaching the speed of the CPU. The RAM 323 is an internal memory that directly exchanges data with the CPU. It can be read and written at any time (except during refresh) and is very fast, typically serving as temporary data storage for the operating system or other running programs. The three components combine to realize the function of the memory 320.

[0074] As one implementation approach, the functionality of I / O interface 330 can be implemented using transceiver circuitry or dedicated transceiver chips. Processor 310 can be implemented using dedicated processing chips, processing circuitry, processors, or general-purpose chips.

[0075] As another implementation method, the apparatus provided in the embodiments of this application can be implemented using a general-purpose computer. The program code that implements the functions of processor 310 and I / O interface 330 is stored in memory 320, and the general-purpose processor implements the functions of processor 310 and I / O interface 330 by executing the code in memory 320.

[0076] For the concepts, explanations, detailed descriptions, and other steps related to the technical solutions provided in the embodiments of this application, please refer to the descriptions of the method steps performed by the device in the foregoing method or other embodiments, which will not be repeated here.

[0077] As another implementation of this embodiment, a computer-readable storage medium is provided, on which instructions are stored, which, when executed, perform the methods in the above-described method embodiments.

[0078] As another implementation of this embodiment, a computer program product containing instructions is provided, which, when executed, perform the method in the above method embodiment.

[0079] Those skilled in the art will understand that, for ease of explanation, Figure 3 Only one memory and processor are shown in the illustration. In a real terminal or server, multiple processors and memories may exist. Memory can also be called storage medium or storage device, etc., and this application does not limit this.

[0080] It should be understood that in the embodiments of this application, the processor may be a central processing unit (CPU), or it may be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc.

[0081] It should also be understood that the memory mentioned in the embodiments of this application can be volatile memory or non-volatile memory, or may include both volatile and non-volatile memory. Non-volatile memory can be read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), or flash memory. Volatile memory can be random access memory (RAM), which is used as an external cache. By way of example, but not limitation, many forms of RAM are available, such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDR SDRAM), Enhanced Synchronous DRAM (ESDRAM), Synchlink DRAM (SLDRAM), and Direct Rambus RAM (DR RAM).

[0082] It should be noted that when the processor is a general-purpose processor, DSP, ASIC, FPGA, or other programmable logic device, discrete gate or transistor logic device, or discrete hardware component, the memory (storage module) is integrated into the processor.

[0083] It should be noted that the memories described herein are intended to include, but are not limited to, these and any other suitable types of memories.

[0084] In addition to the data bus, this bus may also include a power bus, a control bus, and a status signal bus. However, for clarity, all buses are labeled "bus" in the diagram.

[0085] It should also be understood that the first, second, third, fourth and various numerical designations used herein are merely for descriptive convenience and are not intended to limit the scope of this application.

[0086] It should be understood that the term "and / or" in this article is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. Additionally, the character " / " in this article generally indicates that the preceding and following related objects have an "or" relationship.

[0087] In implementation, each step of the above method can be completed by integrated logic circuits in the processor's hardware or by instructions in software. The steps of the method disclosed in the embodiments of this application can be directly implemented by a hardware processor, or by a combination of hardware and software modules in the processor. The software modules can reside in random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, registers, or other mature storage media in the art. This storage medium is located in memory, and the processor reads information from the memory and, in conjunction with its hardware, completes the steps of the above method. To avoid repetition, detailed descriptions are omitted here.

[0088] In the various embodiments of this application, the order of the above-mentioned processes does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

[0089] Those skilled in the art will recognize that the various illustrative logical blocks (ILBs) and steps described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this application.

[0090] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.

[0091] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0092] In addition, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0093] In the above embodiments, implementation can be achieved entirely or partially through software, hardware, firmware, or any combination thereof. When implemented using software, it can be implemented entirely or partially in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, all or part of the processes or functions described in the embodiments of this application are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, digital subscriber line) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that integrates one or more available media. The available medium can be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid-state drive), etc.

[0094] This application also provides a computer storage medium storing a computer program that is executed by a processor to implement some or all of the steps of any of the account management methods described in the above method embodiments.

[0095] This application also provides a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps of any of the account management methods described in the above method embodiments.

[0096] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A method for intelligent information acquisition, characterized in that, When applied to in-vehicle infotainment systems, the method includes the following steps: In response to vehicle startup, real-time information inside or outside the vehicle is collected according to a first preset cycle; wherein, the real-time information includes image information inside or outside the vehicle, voice information inside or outside the vehicle, and vehicle status information, including emergency braking status. Determine whether a traffic accident has occurred based on the aforementioned real-time information; If the determination is yes, then accident image information is collected according to the second preset period; wherein, the period length of the second preset period is less than the period length of the first preset period; The accident information is sent to the cloud platform, and the accident information includes the accident image information.

2. The method according to claim 1, wherein if the real-time information includes image information inside or outside the vehicle, the step of determining whether a traffic accident exists based on the real-time information includes: Determine whether a preset action is detected in the image information inside or outside the vehicle; If the real-time information includes voice information from inside or outside the vehicle, then determining whether a traffic accident has occurred based on the real-time information includes: Determine whether a preset word is recognized in the voice information inside or outside the vehicle; If the real-time information includes vehicle status information, then determining whether a traffic accident has occurred based on the real-time information includes: Determine whether the vehicle status information indicates that the vehicle is in a preset state.

3. The method according to claim 1, further comprising: The accident information is sent to a target terminal, which is used by the user to view the adoption status of the accident information and / or the processing progress of the traffic accident corresponding to the accident information.

4. A vehicle, the vehicle comprising a vehicle-mounted infotainment system as described in any one of claims 1-3, the vehicle-mounted infotainment system comprising a data acquisition module, an analysis module, and a communication module; The data acquisition module is used to collect real-time information inside or outside the vehicle according to a first preset cycle; wherein, The real-time information includes in-vehicle or out-of-vehicle image information, in-vehicle or out-of-vehicle voice information, and vehicle status information, including emergency braking status. The analysis module is used to determine whether a traffic accident has occurred based on the real-time information. The acquisition module is also used to acquire accident image information at a second preset period when a traffic accident occurs; wherein the period length of the second preset period is less than the period length of the first preset period. The communication module is used to send accident information to the cloud platform, and the accident includes the accident image information.

5. The vehicle according to claim 4, wherein the analysis module is further configured to: When the real-time information includes image information inside or outside the vehicle, determine whether a preset action is detected in the image information inside or outside the vehicle; When the real-time information includes voice information from inside or outside the vehicle, determine whether a preset word is recognized in the voice information from inside or outside the vehicle; When the real-time information includes vehicle status information, it is determined whether the vehicle status information indicates that the vehicle is in a preset state.

6. The vehicle according to claim 4, wherein the communication module is further configured to: The accident information is sent to a target terminal, which is used by the user to view the adoption status of the accident information and / or the processing progress of the traffic accident corresponding to the accident information.

7. A vehicle, characterized in that, The vehicles include: A processor, memory, I / O interface, and one or more programs, said one or more programs being stored in said memory and configured to be executed by said processor, said programs including instructions for performing the steps of the method as described in any one of claims 1-3.

8. A computer-readable storage medium, characterized in that, include: The computer-readable storage medium stores instructions that, when executed on a computer, implement the method as described in any one of claims 1-3.

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