Intelligent logistics personnel management system and method

Abstract

The present application discloses an intelligent logistics personnel management system and method, wherein the system includes: a driver terminal for operation by a driver user of a carrier vehicle; a field terminal for operation by a field user of a carrier vehicle; a UWB positioning device installed on the carrier vehicle to locate the driver terminal or / field terminal; a server for data interaction with the driver terminal, the field terminal, and the UWB positioning device respectively; the method includes collecting facial images of the driver user and the field user and the supplier's doorhead image, determining whether the image content of the supplier's doorhead image is the doorhead image of the corresponding supplier, and if so, completing the field user's sign-in task at the supplier, and otherwise sending a prompt signal to the field terminal indicating that the sign-in task has failed. The benefit of the present application is that the location sign-in function of the trajectory management of logistics personnel is automatically realized through near-field positioning and image recognition technology.

Description

Technical Field

[0001] The present application relates to the field of computer technology, and more specifically, to an intelligent logistics personnel management system and method. Background Art

[0002] When existing logistics personnel (including drivers and field staff) travel with carrier vehicles to suppliers for business communications, in order for the system to be able to track and manage the trajectory of logistics personnel, the existing solution is that when arriving at a supplier, the field staff user needs to upload a photo of himself, the driver user, and the carrier vehicle, and then upload a photo of himself, the driver user, and the supplier's storefront; then the system administrator manually verifies it to complete the system sign-in of the logistics personnel.

[0003] This is not only cumbersome for logistics personnel, but also requires manual comparison to complete the system sign-in, wasting human resources. Summary of the invention

[0004] In order to address the deficiencies of the prior art, as one aspect of the present application, the present application provides an intelligent logistics personnel management system including: a driver terminal for operation by a driver user of a carrier vehicle; a field terminal for operation by a field user of a carrier vehicle; a UWB positioning device installed on the carrier vehicle to locate the driver terminal or / field terminal; a server for data interaction with the driver terminal, the field terminal, and the UWB positioning device respectively; wherein the driver terminal includes: a first camera module for capturing facial images of the driver user; a first communication module for establishing a communication connection with the server; a first positioning module for establishing a positioning signal interaction with the UWB positioning device; the field terminal includes: a second camera module for capturing facial images of field users and images of supplier storefronts; a second communication module for establishing a communication connection with the server; a second positioning module for establishing a positioning signal interaction with the UWB positioning device; the server includes: a first query module for responding to a check-in sent by the field terminal a request signal to query the driver terminal corresponding to the field terminal; a second query module, for responding to the vehicle positioning signal fed back by the driver terminal, to query the supplier corresponding to the current position of the driver terminal; a field verification module, for responding to the terminal positioning signal of the UWB positioning device, to send a field face verification instruction for collecting the face image of the field user to the field terminal; a driver verification module, for responding to the field face image data sent by the field terminal, to send a driver face verification instruction for collecting the face image of the driver user to the driver terminal; a doorhead verification module, for responding to the driver face image data sent by the driver terminal, to send a supplier doorhead image verification instruction for collecting the supplier doorhead image to the field terminal; a sign-in verification module, for responding to the supplier doorhead image sent by the field terminal, to determine whether the image content of the supplier doorhead image is the doorhead image of the corresponding supplier, if so, to complete the sign-in task of the field user at the supplier, if not, to send a prompt signal to the field terminal indicating that the sign-in task failed.

[0005] As another aspect of the present application, the present application also provides an intelligent logistics personnel management method based on the above system, which specifically includes the following steps: in response to the sign-in request signal sent by the field terminal, query the driver terminal corresponding to the field terminal; in response to the vehicle positioning signal fed back by the driver terminal, query the supplier corresponding to the current position of the driver terminal; in response to the terminal positioning signal of the UWB positioning device, send a field face verification instruction to the field terminal to collect the face image of the field user; in response to the field face image data sent by the field terminal, send a driver face verification instruction to the driver terminal to collect the face image of the driver user; in response to the driver face image data sent by the driver terminal, send a supplier doorhead image verification instruction to the field terminal to collect the supplier doorhead image; in response to the supplier doorhead image sent by the field terminal, determine whether the image content of the supplier doorhead image is the doorhead image of the corresponding supplier, if so, complete the sign-in task of the field user at the supplier, if not, send a prompt signal to the field terminal to indicate that the sign-in task failed.

[0006] The benefit of the present application lies in: automatically realizing the location check-in function of the track management of logistics personnel through near-field positioning and image recognition technology. BRIEF DESCRIPTION OF THE DRAWINGS

[0007] The drawings constituting a part of this application are used to provide a further understanding of this application, so that other features, purposes and advantages of this application become more obvious. The schematic embodiment drawings and their descriptions of this application are used to explain this application and do not constitute an improper limitation on this application. In the drawings:

[0008] Figure 1 is a schematic diagram of the system architecture of an intelligent logistics personnel management system according to an embodiment of the present application;

[0009] Figure 2 is a schematic diagram of the module composition of a driver terminal according to an embodiment of the present application;

[0010] Figure 3 This is a schematic diagram of the module composition of a field terminal according to an embodiment of the present application;

[0011] Figure 4 is a schematic diagram of the module composition of a server according to an embodiment of the present application;

[0012] Figure 5 It is a schematic diagram of the steps of an intelligent logistics personnel management method according to an embodiment of the present application.

[0013] Meaning of the reference symbols:

[0014] Intelligent logistics personnel management system 100, driver terminal 200, field terminal 300, UWB positioning device 400, server 500. DETAILED DESCRIPTION

[0015] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present application.

[0016] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequential order. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present application described here. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0017] In the present application, the terms "upper", "lower", "left", "right", "front", "back", "top", "bottom", "inner", "outer", "middle", "vertical", "horizontal", "lateral", "longitudinal" and the like indicate positions or positional relationships based on the positions or positional relationships shown in the drawings. These terms are mainly used to better describe the present application and its embodiments, and are not used to limit the indicated devices, elements or components to have a specific orientation, or to be constructed and operated in a specific orientation.

[0018] In addition, some of the above terms may be used to express other meanings in addition to indicating orientation or positional relationship. For example, the term "on" may also be used to express a certain dependency or connection relationship in some cases. For those of ordinary skill in the art, the specific meanings of these terms in this application can be understood according to specific circumstances.

[0019] In addition, the terms "installed", "set", "provided with", "connected", "connected", and "socketed" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral structure; it can be a mechanical connection, or an electrical connection; it can be a direct connection, or an indirect connection through an intermediate medium, or it can be an internal connection between two devices, elements, or components. For those of ordinary skill in the art, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0020] It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present application can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0021] Reference Figures 1 to 4 As shown, the intelligent logistics personnel management system of the present application includes: a driver terminal, a field terminal, a UWB positioning device and a server.

[0022] Among them, the driver terminal is used for operation by the driver user of the carrier vehicle; the field terminal is used for operation by the field user of the carrier vehicle; the UWB positioning device is installed on the carrier vehicle to locate the driver terminal or / field terminal; the server is used to form data interaction with the driver terminal, field terminal, and UWB positioning device respectively.

[0023] As a preferred solution, the driver terminal and the field terminal can be constructed as a smart phone with a UWB chip. The UWB positioning device can be constructed as a positioning base station device capable of transmitting and receiving UWB signals.

[0024] Specifically, the driver terminal includes: a first camera module, a first communication module, and a first positioning module. Among them, the first camera module is used to collect the facial image of the driver user; the first communication module is used to establish a communication connection with the server; the first positioning module is used to form a positioning signal interaction with the UWB positioning device. The driver terminal may also include a first controller. The first controller is used to control the first camera module, the first communication module and the first positioning module and process the data uploaded by these modules.

[0025] Specifically, the field terminal includes: a second camera module, a second communication module, and a second positioning module. Among them, the second camera module is used to collect the facial image of the driver user; the second communication module is used to establish a communication connection with the server; the second positioning module is used to form a positioning signal interaction with the UWB positioning device. The field terminal can also include a second controller. The second controller is used to control the second camera module, the second communication module, and the second positioning module and process the data uploaded by these modules.

[0026] Specifically, the server includes: a first query module, a second query module, a field verification module, a driver verification module, a door verification module and a sign-in verification module.

[0027] As a specific solution, the first query module is used to query the driver terminal corresponding to the field terminal in response to the sign-in request signal sent by the field terminal. Generally speaking, a field user operates the field terminal so that the field terminal sends a sign-in request signal to the server. After receiving the sign-in request signal, the server queries the driver terminal paired with the field terminal on that day. After querying the corresponding driver terminal, the server sends a positioning instruction to the driver terminal. After receiving the positioning instruction, the driver terminal obtains its own position through its own remote positioning module, such as a GPS module, and sends a vehicle positioning signal to the server.

[0028] Then, the second query module is used to query the supplier corresponding to the current location of the driver terminal in response to the vehicle positioning signal fed back by the driver terminal. The server obtains the supplier corresponding to the location of the driver terminal through the vehicle positioning signal. The server then sends a positioning instruction to the UWB positioning device, so that the UWB positioning device starts to interact with the driver terminal and the field terminal through UWB signals to obtain positioning data. As an optional solution, the UWB positioning device can directly interact with the server, or indirectly interact with the server through one of the driver terminal or the field terminal. For example, the UWB positioning device communicates with one of the driver terminal and the field terminal through Bluetooth, and then interacts with the server through the 4G or 5G network of the driver terminal or the field terminal.

[0029] The field verification module is used to respond to the terminal positioning signal of the UWB positioning device and send a field face verification instruction to the field terminal to collect the face image of the field user. When the terminal positioning signal of the UWB positioning device reflects that the field terminal is within a certain distance range of the UWB positioning device, the field face verification instruction is sent to the field terminal. After the field terminal receives the field face verification instruction, it triggers the face collection interface in the APP, and the field staff operates the field terminal to enter the face image, and then converts the entered face image into field face image data and sends it to the server.

[0030] Then, the driver verification module is used to respond to the field facial image data sent by the field terminal and send a driver facial verification instruction to the driver terminal to collect the driver user's facial image. When the server receives the field facial image data, it identifies the facial image data, and if it matches the identity of the field user, it sends a driver facial verification instruction to the driver terminal. Similarly, after the driver terminal receives the driver facial verification instruction, it triggers the facial collection interface in the APP, and the driver operates the driver terminal to enter the facial image, and then converts the entered facial image into driver facial image data and sends it to the server.

[0031] Then, the doorhead verification module is used to respond to the driver's facial image data sent by the driver terminal and send a supplier doorhead image verification instruction to the field terminal to collect the supplier's doorhead image. When the server receives the driver's facial image data, it identifies the facial image data. If it matches the identity of the driver user, it sends an instruction to collect the doorhead image to the field terminal. The field terminal triggers the interface for collecting the doorhead image, and the field user operates to collect the corresponding supplier's doorhead image to generate the supplier's doorhead image and send it to the server.

[0032] Then, the sign-in verification module is used to respond to the supplier's doorhead image sent by the field terminal, and determine whether the image content of the supplier's doorhead image is the doorhead image of the corresponding supplier. If so, the field user's sign-in task for the supplier is completed. Otherwise, a prompt signal is sent to the field terminal to indicate that the sign-in task has failed.

[0033] As a specific solution, when the first camera module captures the driver's facial image, the first positioning module and the UWB positioning device form a positioning signal interaction to obtain a first positioning distance expressing the distance between the driver terminal and the UWB positioning device. The driver terminal packages the driver's facial image and the first positioning distance and sends them to the server; the server determines whether the first positioning distance is less than or equal to the first distance threshold, and if so, responds to the corresponding driver's facial image, otherwise, it does not respond to the corresponding driver's facial image.

[0034] When the second camera module collects the field face image, the second positioning module and the UWB positioning device form a positioning signal interaction to obtain the second positioning distance expressing the distance between the field terminal and the UWB positioning device. The field terminal packages the field face image and the second positioning distance and sends them to the server; the server determines whether the second positioning distance is less than or equal to the second distance threshold, and if so, responds to the corresponding field face image, otherwise, does not respond to the corresponding field face image.

[0035] When the second camera module captures the door header image, the second positioning module and the UWB positioning device form a positioning signal interaction to obtain a third positioning distance expressing the distance between the field terminal and the UWB positioning device. The field terminal packages the door header image and the third positioning distance and sends them to the server; the server determines whether the third positioning distance is less than or equal to the third distance threshold, and if so, responds to the corresponding door header image, otherwise, does not respond to the corresponding door header image.

[0036] As a preferred solution, the sign-in verification module includes: an image recognition model. The image recognition model is used to recognize the door head image collected by the field terminal; the input data of the image recognition model is image data, and the output data of the image recognition model is the supplier's standard door head photo; the image recognition model is a convolutional neural network model; the sign-in verification module completes the field user's system sign-in to the supplier according to the supplier ID data corresponding to the standard door head photo.

[0037] like Figure 5 As shown, the intelligent logistics personnel management method of the present application includes the following steps:

[0038] S1: In response to the sign-in request signal sent by the field terminal, query the driver terminal corresponding to the field terminal.

[0039] S2: In response to the vehicle positioning signal fed back by the driver terminal, query the supplier corresponding to the current location of the driver terminal.

[0040] S3: In response to the terminal positioning signal of the UWB positioning device, a field face verification instruction for collecting a face image of a field user is sent to the field terminal.

[0041] S4: In response to the field facial image data sent by the field terminal, a driver facial verification instruction for collecting the facial image of the driver user is sent to the driver terminal.

[0042] S5: In response to the driver's facial image data sent by the driver terminal, a supplier storefront image verification instruction for collecting the supplier storefront image is sent to the field terminal.

[0043] S6: In response to the supplier's doorhead image sent by the field terminal, determine whether the image content of the supplier's doorhead image is the doorhead image of the corresponding supplier. If so, complete the field user's sign-in task at the supplier. If not, send a prompt signal to the field terminal indicating that the sign-in task has failed.

[0044] The above steps may be executed by the server.

[0045] As a preferred solution, the above method may also include: when the first camera module captures the driver's facial image, the first positioning module and the UWB positioning device form a positioning signal interaction to obtain a first positioning distance expressing the distance between the driver terminal and the UWB positioning device, and the driver terminal packages the driver's facial image and the first positioning distance and sends them to the server; the server determines whether the first positioning distance is less than or equal to the first distance threshold, and if so, responds to the corresponding driver's facial image, otherwise, does not respond to the corresponding driver's facial image.

[0046] As a preferred solution, the above method may also include: when the second camera module captures the field face image, the second positioning module and the UWB positioning device form a positioning signal interaction to obtain a second positioning distance expressing the distance between the field terminal and the UWB positioning device, and the field terminal packages the field face image and the second positioning distance and sends them to the server; the server determines whether the second positioning distance is less than or equal to the second distance threshold, and if so, responds to the corresponding field face image, otherwise, does not respond to the corresponding field face image.

[0047] As a preferred solution, the above method may also include: when the second camera module captures the door head image, the second positioning module and the UWB positioning device form a positioning signal interaction to obtain a third positioning distance expressing the distance between the field terminal and the UWB positioning device, and the field terminal packages the door head image and the third positioning distance and sends them to the server; the server determines whether the third positioning distance is less than or equal to the third distance threshold, and if so, responds to the corresponding door head image, otherwise, does not respond to the corresponding door head image.

[0048] In addition, in the above method, the sign-in verification module completes the field user's system sign-in to the supplier based on the supplier ID data corresponding to the standard storefront photo.

[0049] The above description is only the preferred embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. An intelligent logistics personnel management system, characterized by: The intelligent logistics personnel management system includes: Driver terminal, used for operation by the driver of the transport vehicle; Field terminal, used for operation by field users of transport vehicles; A UWB positioning device installed on the carrier vehicle to locate the driver terminal and / or the field terminal; The server is used to interact with the driver terminal, the field terminal, and the UWB positioning device respectively. in, The driver terminal comprises: The first camera module is used to capture the facial image of the driver user; A first communication module, used to establish a communication connection with the server; A first positioning module, used for forming a positioning signal interaction with the UWB positioning device; The field terminal comprises: The second camera module is used to collect facial images of field users and images of supplier storefronts; A second communication module, used for communicating with the server; A second positioning module, used for forming a positioning signal interaction with the UWB positioning device; The server comprises: A first query module, configured to query the driver terminal corresponding to the field terminal in response to a check-in request signal sent by the field terminal; A second query module, configured to query a supplier corresponding to the current location of the driver terminal in response to a vehicle positioning signal fed back by the driver terminal; A field verification module, configured to send a field face verification instruction for collecting a face image of a field user to the field terminal in response to a terminal positioning signal of the UWB positioning device; A driver verification module, configured to send a driver face verification instruction for collecting a face image of a driver user to the driver terminal in response to the field facial image data sent by the field terminal; A doorhead verification module, configured to send a supplier doorhead image verification instruction for collecting a supplier doorhead image to the field terminal in response to the driver's facial image data sent by the driver terminal; The sign-in verification module is used to respond to the supplier's doorhead image sent by the field terminal, determine whether the image content of the supplier's doorhead image is the doorhead image of the corresponding supplier, and if so, complete the field user's sign-in task at the supplier; otherwise, send a prompt signal to the field terminal indicating that the sign-in task has failed.

2. The intelligent logistics personnel management system according to claim 1 is characterized by: When the first camera module collects the driver's face image, the first positioning module and the UWB positioning device form a positioning signal interaction to obtain a first positioning distance expressing the distance between the driver terminal and the UWB positioning device, and the driver terminal packages the driver's face image and the first positioning distance and sends them to the server; The server determines whether the first positioning distance is less than or equal to a first distance threshold, and if so, responds to the corresponding driver face image, and if not, does not respond to the corresponding driver face image.

3. The intelligent logistics personnel management system according to claim 1 is characterized by: When the second camera module collects the field person's face image, the second positioning module and the UWB positioning device form a positioning signal interaction to obtain a second positioning distance expressing the distance between the field terminal and the UWB positioning device, and the field terminal packages the field person's face image and the second positioning distance and sends them to the server; The server determines whether the second positioning distance is less than or equal to a second distance threshold, and if so, responds to the corresponding field person face image, and if not, does not respond to the corresponding field person face image.

4. The intelligent logistics personnel management system according to claim 1 is characterized by: When the second camera module collects the door head image, the second positioning module and the UWB positioning device form a positioning signal interaction to obtain a third positioning distance expressing the distance between the field terminal and the UWB positioning device, and the field terminal packages the door head image and the third positioning distance and sends them to the server; The server determines whether the third positioning distance is less than or equal to a third distance threshold, and if so, responds to the corresponding door header image, and if not, does not respond to the corresponding door header image.

5. The intelligent logistics personnel management system according to claim 1 is characterized by: The sign-in verification module includes: An image recognition model, used to recognize the door head image collected by the field terminal; The input data of the image recognition model is image data, and the output data of the image recognition model is a standard storefront photo of a supplier; the image recognition model is a convolutional neural network model; The sign-in verification module completes the field user's system sign-in for the supplier based on the supplier ID data corresponding to the standard storefront photo.

6. An intelligent logistics personnel management method, implemented by the intelligent logistics personnel management system according to any one of claims 1 to 5, characterized in that: The intelligent logistics personnel management method is executed by an intelligent logistics personnel management system, which includes: a driver terminal, a field terminal, a UWB positioning device, and a server; The intelligent logistics personnel management method comprises the following steps: In response to the sign-in request signal sent by the field terminal, query the driver terminal corresponding to the field terminal; In response to the vehicle positioning signal fed back by the driver terminal, querying the supplier corresponding to the current location of the driver terminal; In response to the terminal positioning signal of the UWB positioning device, sending a fieldwork face verification instruction for collecting a face image of a fieldwork user to the fieldwork terminal; In response to the field facial image data sent by the field terminal, a driver facial verification instruction for collecting a facial image of a driver user is sent to the driver terminal; In response to the driver's facial image data sent by the driver terminal, a supplier doorhead image verification instruction for collecting a supplier doorhead image is sent to the field terminal; In response to the supplier's doorhead image sent by the field terminal, it is determined whether the image content of the supplier's doorhead image is the doorhead image of the corresponding supplier. If so, the field user's sign-in task at the supplier is completed. Otherwise, a prompt signal is sent to the field terminal indicating that the sign-in task has failed.

7. The intelligent logistics personnel management method according to claim 6 is characterized by: When the first camera module collects the driver's face image, the first positioning module and the UWB positioning device form a positioning signal interaction to obtain a first positioning distance expressing the distance between the driver terminal and the UWB positioning device, and the driver terminal packages the driver's face image and the first positioning distance and sends them to the server; The server determines whether the first positioning distance is less than or equal to a first distance threshold, and if so, responds to the corresponding driver face image, and if not, does not respond to the corresponding driver face image.

8. The intelligent logistics personnel management method according to claim 6 is characterized by: When the second camera module collects the field person's face image, the second positioning module and the UWB positioning device form a positioning signal interaction to obtain a second positioning distance expressing the distance between the field terminal and the UWB positioning device, and the field terminal packages the field person's face image and the second positioning distance and sends them to the server; The server determines whether the second positioning distance is less than or equal to a second distance threshold, and if so, responds to the corresponding field person face image, and if not, does not respond to the corresponding field person face image.

9. The intelligent logistics personnel management method according to claim 6, characterized in that: When the second camera module collects the door head image, the second positioning module and the UWB positioning device form a positioning signal interaction to obtain a third positioning distance expressing the distance between the field terminal and the UWB positioning device, and the field terminal packages the door head image and the third positioning distance and sends them to the server; The server determines whether the third positioning distance is less than or equal to a third distance threshold, and if so, responds to the corresponding door header image, and if not, does not respond to the corresponding door header image.

10. The intelligent logistics personnel management method according to claim 6, characterized in that: The sign-in verification module completes the field user's system sign-in to the supplier based on the supplier ID data corresponding to the standard storefront photo.

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