Task clock-in method, device and equipment and readable storage medium

Abstract

This invention provides a task check-in method, apparatus, device, and storage medium. The method includes: acquiring task information, wherein the task information includes a target location; determining a target route from the current location to the target location; collecting several intermediate locations during the journey to the target location along the target route; collecting a target image corresponding to the task information at the target location; and performing task check-in based on the several intermediate locations and the target image. This application aims to collect intermediate locations and target images during task execution, and then perform task check-in based on the intermediate locations and target images. Especially in the insurance field, this can avoid check-in failures caused by poor geographical location, weak mobile phone signal, etc., when insurance staff are performing investigation tasks, thereby improving the success rate of check-in.

Description

Technical Field

[0001] This application relates to the field of computer technology, and in particular to a task check-in method, a task check-in device, a computer device, and a computer-readable storage medium. Background Technology

[0002] After receiving a claim, insurance companies typically require an investigator to drive to the accident scene to investigate. The investigator must clock in successfully upon arrival before commencing any investigation. This clocking-in process aims to prevent investigators from exceeding their allotted time, to track their attendance, and to improve both investigator efficiency and user experience.

[0003] However, in real-world scenarios, surveyors often experience frequent check-in failures due to unfavorable accident scene locations, weak cell phone signals, and outdated GPS updates. This forces them to repeatedly move or restart their phones to retry the check-in process. This not only impacts surveyor efficiency and attendance but also affects the user experience. Summary of the Invention

[0004] This application provides a task check-in method, a task check-in device, a computer device, and a computer-readable storage medium, which aim to collect intermediate positions and target images when performing tasks, and then perform task check-in based on the intermediate positions and target images.

[0005] To achieve the above objectives, this application provides a task check-in method, the method comprising:

[0006] Obtain task information, wherein the task information includes the target location;

[0007] Determine the target route from the current location to the target location;

[0008] During the process of traveling to the target location along the target route, several intermediate locations are collected;

[0009] Acquire a target image corresponding to the task information at the target location;

[0010] Task check-in is performed based on several intermediate positions and the target image.

[0011] To achieve the above objectives, this application also provides a task check-in device, comprising:

[0012] An acquisition module is used to acquire task information, wherein the task information includes the target location;

[0013] The determining module is used to determine the target route from the current location to the target location;

[0014] The data acquisition module is used to acquire several intermediate locations during the process of traveling to the target location according to the target route;

[0015] The acquisition module is also used to acquire a target image corresponding to the task information at the target location;

[0016] The check-in module is used to check in for tasks based on several intermediate positions and the target image.

[0017] In addition, to achieve the above objectives, this application also provides a computer device, which includes a memory and a processor; the memory is used to store a computer program; the processor is used to execute the computer program and, when executing the computer program, implement the steps of the task check-in method provided in any of the embodiments of this application.

[0018] In addition, to achieve the above objectives, this application also provides a computer-readable storage medium storing a computer program, which, when executed by a processor, causes the processor to implement the steps of the task check-in method provided in any of the embodiments of this application.

[0019] The task check-in method, device, computer equipment, and computer-readable storage medium disclosed in this application can acquire task information including the target location, and then plan a target route based on the target location and the current location. Furthermore, during the process of traveling to the target location along the target route, several intermediate locations are collected, and target images corresponding to the task information are collected at the target location. Thus, task check-in can be performed based on these intermediate locations and the target image. This application aims to collect intermediate locations and target images during task execution, and then perform task check-in based on these intermediate locations and target images. Especially in the insurance field, this can avoid check-in failures caused by poor geographical location, weak mobile phone signal, etc., when insurance staff are performing survey tasks, thereby improving the success rate of check-in. Attached Figure Description

[0020] To more clearly illustrate the technical solutions of the embodiments of this application, the drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0021] Figure 1 This is a schematic diagram of a task check-in method provided in an embodiment of this application;

[0022] Figure 2 This is a schematic diagram illustrating the steps of a task check-in method provided in an embodiment of this application;

[0023] Figure 3 This is a flowchart illustrating a task check-in method provided in an embodiment of this application;

[0024] Figure 4 This is a flowchart illustrating the task check-in process provided in an embodiment of this application;

[0025] Figure 5 This is a schematic block diagram of a task check-in device provided in an embodiment of this application;

[0026] Figure 6 This is a schematic block diagram of a computer device provided in an embodiment of this application. Detailed Implementation

[0027] 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.

[0028] The flowcharts shown in the accompanying drawings are merely illustrative and do not necessarily include all content and operations / steps, nor do they necessarily need to be performed in the described order. For example, some operations / steps can be broken down, combined, or partially merged, so the actual execution order may change depending on the actual situation. Furthermore, although functional modules are divided in the device diagram, in some cases, a different module division may be used.

[0029] The term “and / or” as used in this application specification and the appended claims means any combination of one or more of the associated listed items, as well as all possible combinations, and includes such combinations.

[0030] The following detailed description of some embodiments of this application is provided in conjunction with the accompanying drawings. Unless otherwise specified, the following embodiments and features can be combined with each other.

[0031] like Figure 1 As shown in the embodiments of this application, the task check-in method can be applied to, for example, Figure 1The application environment shown includes a terminal device 110 and a server 120. The terminal device 110 can communicate with the server 120 via a network. Specifically, the server 120 can obtain task information, including a target location; determine a target route from the current location to the target location; collect several intermediate locations while traveling to the target location along the target route; and collect a target image corresponding to the task information at the target location. Then, based on the intermediate locations and the target image, the server performs task check-in and sends the check-in result to the terminal device 110. The server 120 can be a standalone server or a cloud server providing basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, content delivery networks (CDNs), and big data and artificial intelligence platforms. The terminal device 110 can be a smartphone, tablet, laptop, desktop computer, smart speaker, smartwatch, etc., but is not limited to these. Terminals and servers can be connected directly or indirectly via wired or wireless communication, and this application does not impose any restrictions on this.

[0032] Please see Figure 2 as well as Figure 3 , Figure 2 This is a schematic diagram illustrating the steps of a task check-in method provided in an embodiment of this application; Figure 3 This is a flowchart illustrating a task check-in method provided in an embodiment of this application. This task check-in method can be applied to a computer device to achieve task check-in.

[0033] like Figure 2 As shown, the task check-in method includes steps S11 to S15.

[0034] Step S11: Obtain task information, including the target location.

[0035] The task information can be insurance case information, and this application will use this as an example for illustration.

[0036] Specifically, after a car accident, the user usually needs to report the incident to the insurance company, which can then issue the corresponding insurance case information so that the surveyor can investigate the case at the scene based on the insurance case information.

[0037] Understandably, mission information includes the target location, i.e., the location of the vehicle accident.

[0038] It should be noted that the above-mentioned task information can also be case information in other fields, such as real estate brokerage, etc., and this application does not limit it in this regard.

[0039] Step S12: Determine the target route from the current location to the target location.

[0040] Once the target location is obtained based on the task information, the target route from the surveyor's current location to the target location of the vehicle accident can be determined.

[0041] It should be noted that this application does not limit the method for determining the target route described above. For example, the target route can be determined through an environmental model. Specifically, an environmental model that facilitates computer path planning can be established, that is, the actual physical space can be abstracted into an abstract space that the algorithm can process. Then, based on the environmental model, a corresponding algorithm is applied to find a walking path that optimizes the predetermined performance function. In other words, after inputting the current position to the target location of the vehicle accident into the environmental model, the optimal target route can be output.

[0042] Understandably, compared to other routes, the target route has a shorter distance and time, and passes through fewer traffic lights.

[0043] In this embodiment, task information can be obtained, thereby determining the target location. Furthermore, based on the target location and the current location, an optimal target route that the surveyor can take can be determined, enabling the surveyor to reach the target location and thus check in at the target location.

[0044] Step S13: Collect several intermediate locations while traveling to the target location along the target route.

[0045] Step S14: Acquire the target image corresponding to the task information at the target location.

[0046] Specifically, during the journey to the target location, several intermediate locations can be collected at preset time intervals.

[0047] It should be noted that this application does not limit the preset time interval. For example, it can be 2 minutes, 5 minutes, etc. The specific time interval can be set according to the travel time corresponding to the target route. That is, the shorter the travel time, the shorter the preset time interval.

[0048] Furthermore, after reaching the target location, the target image corresponding to the task information can also be collected.

[0049] The target image may include the complainant's license plate information or the complainant's driver's license information; this application does not limit this.

[0050] In this embodiment of the application, several intermediate locations and a target image can be collected at the target location for task check-in based on the intermediate locations and the target image.

[0051] Step S15: Perform task check-in based on several intermediate positions and target images.

[0052] Specifically, after obtaining several intermediate locations and the target image, it can be determined whether the intermediate locations are on the target route and whether the target image corresponds to the task information. If both conditions are met, it indicates that the surveyor has reached the target location, and the task can be checked in. Otherwise, a message indicating task check-in failure will be displayed to the surveyor.

[0053] The task check-in method disclosed in this application can acquire task information including the target location, and then plan a target route based on the target location and the current location. Furthermore, during the process of traveling to the target location according to the target route, several intermediate locations are collected, and target images corresponding to the task information are collected at the target location. Thus, task check-in can be performed based on these intermediate locations and the target image. This application aims to collect intermediate locations and target images during task execution, and then perform task check-in based on these intermediate locations and target images. Especially in the insurance field, this can avoid check-in failures caused by poor geographical location, weak mobile phone signal, etc., when insurance staff are performing survey tasks, thereby improving the success rate of check-in.

[0054] Optionally, based on the task information, a target route from the current location to the target location is determined, including: planning the target route based on the target location and the current location, and determining the estimated arrival time.

[0055] Optionally, before acquiring the target image corresponding to the task information at the target location, the process includes: acquiring the first time corresponding to the arrival at the target location.

[0056] Based on the above embodiments, task check-in is performed based on several intermediate locations and target images, including: task check-in based on several intermediate locations, first time, estimated arrival time, target route and target image.

[0057] Specifically, when determining the target route, the estimated arrival time can be determined based on the target route. In addition, the first time that the surveyor actually arrives at the target location from the current location can be obtained.

[0058] Furthermore, task check-in can be based on several intermediate locations, first time, estimated arrival time, target route, and target image.

[0059] Specifically, after obtaining several intermediate locations, target images, and target routes, it can be determined whether the intermediate locations are on the target route and whether the target images correspond to the task information. Furthermore, it can be determined whether the difference between the initial arrival time and the estimated arrival time is within a preset range, such as 5% or 10%. If all the above conditions are met, it indicates that the surveyor has reached the target location, and the task can be checked in. Conversely, if not, the surveyor will be notified of a task check-in failure.

[0060] In this embodiment, the estimated arrival time can be determined based on the target route, and the first time the surveyor actually arrives at the target location from the current location can be obtained. Furthermore, in addition to task check-in based on several intermediate locations, the target route, and the target image, task check-in can also be based on the first time and the estimated arrival time. By comprehensively judging the conditions for task check-in through multiple factors, the accuracy of the check-in results is improved.

[0061] Please continue reading. Figure 4 , Figure 4 This is a schematic diagram of the task check-in process provided in an embodiment of this application. For example... Figure 4 As shown, task check-in can be achieved through steps S151 to S154 based on several intermediate locations, first time, estimated arrival time, target route, and target image.

[0062] Step S151: Determine the positional error between several intermediate positions and the target route.

[0063] Optionally, determining the positional error between several intermediate locations and the target route includes: generating a positional trajectory map based on several intermediate locations, and generating a target route map based on the target route; and determining the positional error based on the positional trajectory map and the target route map.

[0064] Specifically, a location trajectory map can be generated by connecting the intermediate location information obtained above and performing curve smoothing operations. This location trajectory map represents the actual route taken by the surveyor.

[0065] Furthermore, a target route map can be directly generated based on the planned target route, and the location trajectory map and the location error of the target route map can be determined.

[0066] It should be noted that this application does not limit the method for determining the position error. For example, the position trajectory map and the target route map can be compared and the degree of overlap between them can be determined. Then, the position error of the position trajectory map and the target route map can be obtained based on the degree of overlap.

[0067] Step S152: Determine the time error between the first time and the estimated arrival time.

[0068] Specifically, the time difference between the first time and the estimated arrival time can be calculated and then divided by the estimated arrival time to obtain the time error between the two.

[0069] Step S153: Detect whether the image information in the target image and the target information in the task information are consistent, and obtain the detection result.

[0070] Optionally, the target information is the first license plate information. Detecting whether the image information in the target image is consistent with the target information in the task information and obtaining the detection result includes: performing image recognition on the target image to obtain the second license plate information in the target image; detecting whether the second license plate information is consistent with the first license plate information and obtaining the detection result.

[0071] Understandably, the first license plate information is the license plate information corresponding to the target information; the second license plate information is the license plate information after recognition of the collected target image.

[0072] Specifically, the acquired target image can be subjected to image recognition to obtain the second license plate information. Then, it can be determined whether the second license plate information is consistent with the first license plate information, and the detection result can be obtained.

[0073] Step S154: Perform task check-in based on position error, time error, and detection results.

[0074] Optionally, task check-in can be performed based on position error, time error, and detection results, including: if the detection results are consistent, the task check-in is successful; if the detection results are inconsistent, but the position error and time error meet the requirements, the system prompts the user to re-acquire the image.

[0075] Understandably, if the detection results are consistent, meaning the second license plate information matches the first license plate information, it indicates that the surveyor has reached the target address, and the task check-in is successful. Conversely, if the detection results are inconsistent, meaning the second license plate information does not match the first license plate information, and the positional and time errors meet the requirements, it indicates that the surveyor has reached the target address but has not accurately determined the information of the accident vehicle belonging to the person who reported the incident. In this case, the surveyor can be prompted to re-collect images to complete the corresponding task and check in again.

[0076] Optionally, the position error and time error meet the requirements, including: determining whether the position error is less than a first preset threshold and whether the time error is less than a second preset threshold; when the position error is less than the first preset threshold and the time error is less than the second preset threshold, the position error and time error meet the requirements.

[0077] It should be noted that this application does not limit the first and second preset thresholds; for example, they can be 5% or 10%. That is, if the location error and time error are less than 5% or 10%, it means that the surveyor has reached the target address on time. Conversely, it means that the surveyor has not reached the target address on time.

[0078] In this embodiment, the positional error, time error, and target image detection results during the surveyor's movement can be determined, and task check-in can then be performed based on these factors. This avoids check-in failures due to poor geographical location, weak mobile signal, or other reasons, thus improving the success rate of check-in.

[0079] Please see Figure 5 , Figure 5 This is a schematic block diagram of a task check-in device provided in an embodiment of this application. This task check-in device can be configured in a server to execute the aforementioned task check-in method.

[0080] like Figure 5 As shown, the task check-in device 200 includes: an acquisition module 201, a determination module 202, a collection module 203, and a check-in module 204.

[0081] The acquisition module 201 is used to acquire task information, wherein the task information includes the target location;

[0082] The determining module 202 is used to determine the target route from the current position to the target position;

[0083] The acquisition module 203 is used to acquire several intermediate locations during the process of traveling to the target location according to the target route;

[0084] The acquisition module 203 is also used to acquire a target image corresponding to the task information at the target location;

[0085] The check-in module 204 is used to perform task check-in based on several intermediate positions and the target image.

[0086] The determining module 201 is also used to plan the target route based on the target location and the current location, and to determine the estimated arrival time.

[0087] The acquisition module 201 is also used to acquire the first time corresponding to the arrival at the target location.

[0088] The check-in module 204 is also used to check in for tasks based on several intermediate locations, the first time, the estimated arrival time, the target route, and the target image.

[0089] The check-in module 204 is also used to determine the positional error between several intermediate positions and the target route; determine the time error between the first time and the estimated arrival time; detect whether the image information in the target image and the target information in the task information are consistent, and obtain the detection result; and perform task check-in based on the positional error, the time error and the detection result.

[0090] The determining module 201 is also used to generate a location trajectory map based on several intermediate locations, and to generate a target route map based on the target route;

[0091] The position error is determined based on the location trajectory map and the target route map.

[0092] The check-in module 204 is also used to perform image recognition on the target image to obtain the second license plate information in the target image; detect whether the second license plate information and the first license plate information are consistent, and obtain the detection result.

[0093] The check-in module 204 is also used to: if the detection results are consistent, the task check-in is successful; if the detection results are inconsistent, and the position error and the time error meet the requirements, prompt the user to re-acquire the image.

[0094] The check-in module 204 is also used to determine whether the position error is less than a first preset threshold and whether the time error is less than a second preset threshold; when the position error is less than the first preset threshold and the time error is less than the second preset threshold, then the position error and the time error meet the requirements.

[0095] It should be noted that those skilled in the art will understand that, for the sake of convenience and brevity, the specific working processes of the above-described apparatus and its modules and units can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0096] The methods and apparatus of this application can be used in a wide variety of general-purpose or special-purpose computing system environments or configurations. For example: personal computers, server computers, handheld or portable devices, tablet devices, multiprocessor systems, microprocessor-based systems, set-top boxes, programmable consumer terminal devices, network PCs, minicomputers, mainframe computers, distributed computing environments including any of the above systems or devices, etc.

[0097] For example, the above-described method and apparatus can be implemented as a computer program, which can be used in, for example... Figure 6 It runs on the computer device shown.

[0098] Please see Figure 6 , Figure 6This is a schematic diagram of a computer device provided in an embodiment of this application. The computer device may be a server.

[0099] like Figure 6 As shown, the computer device includes a processor, memory, and network interface connected via a system bus, wherein the memory may include volatile storage media, non-volatile storage media, and internal memory.

[0100] Non-volatile storage media can store operating systems and computer programs. These computer programs include program instructions that, when executed, cause the processor to perform any task execution method.

[0101] The processor provides computing and control capabilities, supporting the operation of the entire computer device.

[0102] Internal memory provides an environment for the execution of computer programs stored in non-volatile storage media. When the computer program is executed by the processor, it enables the processor to perform any task check-in method.

[0103] This network interface is used for network communication, such as sending assigned tasks. Those skilled in the art will understand that the structure of this computer device is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than shown in the figure, or combine certain components, or have different component arrangements.

[0104] It should be understood that the processor can be a Central Processing Unit (CPU), but it can also 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. Among these, a general-purpose processor can be a microprocessor or any conventional processor.

[0105] In some embodiments, the processor is used to run a computer program stored in a memory to perform the following steps: acquiring task information, wherein the task information includes a target location; determining a target route from the current location to the target location; collecting several intermediate locations during the process of traveling to the target location according to the target route; collecting a target image corresponding to the task information at the target location; and performing task check-in based on the several intermediate locations and the target image.

[0106] In some implementations, the processor is further configured to plan the target route based on the target location and the current location, and determine the estimated arrival time; obtain the first time corresponding to the arrival at the target location; and perform task check-in based on several intermediate locations, the first time, the estimated arrival time, the target route, and the target image.

[0107] In some embodiments, the processor is further configured to determine the positional error between several intermediate positions and the target route; determine the time error between the first time and the estimated arrival time; detect whether the image information in the target image and the target information in the task information are consistent, and obtain a detection result; and perform task check-in based on the positional error, the time error and the detection result.

[0108] In some embodiments, the processor is further configured to generate a location trajectory map based on a plurality of the intermediate locations, and to generate a target route map based on the target route; and to determine the location error based on the location trajectory map and the target route map.

[0109] In some embodiments, the processor is further configured to perform image recognition on the target image to obtain second license plate information in the target image; detect whether the second license plate information and the first license plate information are consistent, and obtain a detection result.

[0110] In some implementations, the processor is further configured to, if the detection results are consistent, then the task check-in is successful; if the detection results are inconsistent, and the position error and the time error meet the requirements, prompt the user to re-acquire the image.

[0111] In some embodiments, the processor is further configured to determine whether the position error is less than a first preset threshold and whether the time error is less than a second preset threshold; when the position error is less than the first preset threshold and the time error is less than the second preset threshold, then the position error and the time error meet the requirements.

[0112] This application also provides a computer-readable storage medium storing a computer program, the computer program including program instructions, which, when executed, implement any of the task check-in methods provided in this application.

[0113] The computer-readable storage medium may be an internal storage unit of the computer device described in the foregoing embodiments, such as the hard disk or memory of the computer device. The computer-readable storage medium may also be an external storage device of the computer device, such as a plug-in hard disk, SmartMedia Card (SMC), Secure Digital (SD) card, or Flash Card equipped on the computer device.

[0114] Furthermore, the computer-readable storage medium may primarily include a program storage area and a data storage area, wherein the program storage area may store the operating system, at least one application program required for a function, etc.

[0115] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any person skilled in the art can easily conceive of various equivalent modifications or substitutions within the technical scope disclosed in this application, and these modifications or substitutions should all be covered 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 task check-in method, characterized in that, The method includes: Obtain task information, wherein the task information includes the target location; Based on the target location and the current location, plan the target route and determine the estimated arrival time; During the process of traveling to the target location along the target route, several intermediate locations are collected; Obtain the first time corresponding to the arrival at the target location; Acquire a target image corresponding to the task information at the target location; Determine the positional error between several intermediate positions and the target route; Determine the time error between the first time and the estimated arrival time; The system detects whether the image information in the target image is consistent with the target information in the task information, and obtains the detection result. Task check-in is performed based on the location error, the time error, and the detection result.

2. The method according to claim 1, characterized in that, Determining the positional error between the plurality of intermediate positions and the target route includes: A location trajectory map is generated based on several intermediate locations, and a target route map is generated based on the target route; The position error is determined based on the location trajectory map and the target route map.

3. The method according to claim 1, characterized in that, The target information is the first license plate information. The step of detecting whether the image information in the target image matches the target information in the task information, and obtaining the detection result, includes: Image recognition is performed on the target image to obtain the second license plate information in the target image; The system checks whether the second license plate information and the first license plate information are consistent and obtains the detection result.

4. The method according to claim 1, characterized in that, The task check-in based on the position error, the time error, and the detection result includes: If the test results are consistent, the task check-in is successful; If the detection results are inconsistent, and the position error and the time error meet the requirements, a prompt will be made to re-acquire the image.

5. The method according to claim 4, characterized in that, The position error and the time error meet the requirements, including: Determine whether the position error is less than a first preset threshold and whether the time error is less than a second preset threshold; When the position error is less than the first preset threshold and the time error is less than the second preset threshold, then the position error and the time error meet the requirements.

6. A task check-in device, characterized in that, The task check-in device includes: An acquisition module is used to acquire task information, wherein the task information includes the target location; The determination module is used to plan a target route based on the target location and the current location, and to determine the estimated arrival time; The data acquisition module is used to acquire several intermediate locations during the process of traveling to the target location according to the target route; and to obtain the first time corresponding to the arrival at the target location; The acquisition module is also used to acquire a target image corresponding to the task information at the target location; The check-in module is used to determine the positional error between several intermediate positions and the target route; determine the time error between the first time and the estimated arrival time; detect whether the image information in the target image and the target information in the task information are consistent, and obtain the detection result; and perform task check-in based on the positional error, the time error and the detection result.

7. A computer device, characterized in that, include: A memory and a processor; wherein the memory is connected to the processor and is used to store a program, and the processor is used to implement the steps of the task check-in method as described in any one of claims 1-5 by running the program stored in the memory.

8. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, causes the processor to implement the steps of the task check-in method as described in any one of claims 1-5.

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