CN117709561A

CN117709561A - Method, apparatus, electronic device, and computer-readable medium for transporting articles

Info

Publication number: CN117709561A
Application number: CN202311644784.7A
Authority: CN
Inventors: 徐意; 蒙淮; 李昭; 吴志刚
Original assignee: Hangzhou Pinjie Network Technology Co Ltd
Current assignee: Hangzhou Pinjie Network Technology Co Ltd
Priority date: 2023-12-01
Filing date: 2023-12-01
Publication date: 2024-03-15

Abstract

Embodiments of the present disclosure disclose an item transportation method, apparatus, electronic device, and computer readable medium. One embodiment of the method comprises the following steps: acquiring a vehicle image of a target vehicle and an information set of articles to be transported; performing recognition processing on the vehicle image to generate vehicle recognition information; selecting all the article information to be transported meeting the preset conditions from the article information set to be transported according to the vehicle identification information as a target article information set; determining a transport route according to the initial position of the object and the transport position of the object included in each piece of object information in the object information set; identifying a driver of the target vehicle in response to receiving vehicle start information of the target vehicle; and according to the identification result, the transportation route is sent to a vehicle terminal of the target vehicle so as to transport each article corresponding to the target article information set. This embodiment reduces the time for the transportation of the items and reduces the waste of transportation resources.

Description

Method, apparatus, electronic device, and computer-readable medium for transporting articles

Technical Field

Embodiments of the present disclosure relate to the field of computer technology, and in particular, to an article transport method, apparatus, electronic device, and computer readable medium.

Background

Road cargo transportation (Road Transportation) is one of the main modes of modern transportation, plays an important role in the whole transportation field and plays an increasingly important role. How to improve the efficiency of transporting articles has become an important research topic, and at present, when transporting articles, the following methods are generally adopted: after all the articles to be transported are loaded at different goods taking places, the articles are transported to a goods delivering place in sequence.

However, when the articles are transported in the above manner, there are often the following technical problems:

first, when all articles are loaded and transported in sequence, the loading and transporting route is not considered longer, so that the articles are transported for a longer time, and further, the transportation resource is wasted.

Second, during transportation of the vehicle, the driver is often required to switch the destination of the vehicle navigation to travel the correct route, and when the destination is manually switched, only one hand controls the steering wheel, resulting in lower driving safety.

The above information disclosed in this background section is only for enhancement of understanding of the background of the inventive concept and, therefore, may contain information that does not form the prior art that is already known to those of ordinary skill in the art in this country.

Disclosure of Invention

The disclosure is in part intended to introduce concepts in a simplified form that are further described below in the detailed description. The disclosure is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used to limit the scope of the claimed subject matter.

Some embodiments of the present disclosure propose article transportation methods, apparatus, electronic devices, and computer readable media to address one or more of the technical problems mentioned in the background section above.

In a first aspect, some embodiments of the present disclosure provide a method of transporting an item, the method comprising: acquiring a vehicle image of a target vehicle and an information set of articles to be transported, wherein the articles to be transported in the information set of articles to be transported comprises an article starting position and an article transporting position; performing recognition processing on the vehicle image to generate vehicle recognition information; selecting each item information to be transported meeting preset conditions from the item information set to be transported according to the vehicle identification information as a target item information set; determining a transportation route according to the initial position and the transportation position of the object included in each piece of object information in the object information set; identifying a driver of the target vehicle in response to receiving vehicle start information of the target vehicle; and according to the identification result, the transport route is sent to the vehicle terminal of the target vehicle so as to transport each article corresponding to the target article information set.

In a second aspect, some embodiments of the present disclosure provide an article transport device, the device comprising: an acquisition unit configured to acquire a vehicle image of a target vehicle and a to-be-transported article information set, wherein to-be-transported article information in the to-be-transported article information set includes an article start position and an article transport position; a first recognition unit configured to perform recognition processing on the vehicle image to generate vehicle recognition information; a selecting unit configured to select, from the to-be-transported item information set, each to-be-transported item information satisfying a preset condition as a target item information set, according to the vehicle identification information; a determining unit configured to determine a transportation route based on an article start position and an article transportation position included in each of the target article information in the target article information set; a second identifying unit configured to identify a driver of the target vehicle in response to receiving vehicle start information of the target vehicle; and a transmitting unit configured to transmit the transport route to a vehicle terminal of the target vehicle according to the identification result, so as to transport each item corresponding to the target item information set.

In a third aspect, some embodiments of the present disclosure provide an electronic device comprising: one or more processors; a storage device having one or more programs stored thereon, which when executed by one or more processors causes the one or more processors to implement the method described in any of the implementations of the first aspect above.

In a fourth aspect, some embodiments of the present disclosure provide a computer readable medium having a computer program stored thereon, wherein the program, when executed by a processor, implements the method described in any of the implementations of the first aspect above.

The above embodiments of the present disclosure have the following advantages: by the article transporting method of some embodiments of the present disclosure, the time for transporting the article is reduced, and the waste of transportation resources is reduced. Specifically, it takes a long time to complete the transportation of the article, and the reason for the waste of transportation resources is that: when all articles are loaded and transported in sequence, the loading and transporting route is not considered longer, so that the articles are transported for a longer time, and further transportation resources are wasted. Based on this, the article transporting method of some embodiments of the present disclosure first acquires a vehicle image of a target vehicle and an article information set to be transported. Thus, an image of the vehicle in which transportation is performed and information of the article to be transported can be acquired. Next, the above-described vehicle image is subjected to recognition processing to generate vehicle recognition information. Thus, the vehicle information can be acquired through image recognition. And then, selecting each item information to be transported meeting the preset condition from the item information set to be transported according to the vehicle identification information as a target item information set. Thus, information about each item that the vehicle is capable of transporting can be determined. And then, determining a transportation route according to the article starting position and the article transportation position included in each piece of target article information in the target article information set. Therefore, the shortest transportation route can be determined, so that the transportation time can be reduced, and the waste of transportation resources is further reduced. Then, in response to receiving the vehicle start information of the target vehicle, a driver of the target vehicle is identified. Therefore, the driver with unknown identity can be prevented from driving the vehicle by identifying the driver, and the object is prevented from being lost. And finally, according to the identification result, the transport route is sent to the vehicle terminal of the target vehicle so as to transport each article corresponding to the target article information set. Thereby, the time for transporting the articles is reduced, and the waste of transportation resources is reduced.

Drawings

The above and other features, advantages, and aspects of embodiments of the present disclosure will become more apparent by reference to the following detailed description when taken in conjunction with the accompanying drawings. The same or similar reference numbers will be used throughout the drawings to refer to the same or like elements. It should be understood that the figures are schematic and that elements and components are not necessarily drawn to scale.

FIG. 1 is a flow chart of some embodiments of a method of transporting items according to the present disclosure;

FIG. 2 is a schematic structural view of some embodiments of an article transport device according to the present disclosure;

fig. 3 is a schematic structural diagram of an electronic device suitable for use in implementing some embodiments of the present disclosure.

Detailed Description

Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete. It should be understood that the drawings and embodiments of the present disclosure are for illustration purposes only and are not intended to limit the scope of the present disclosure.

It should be noted that, for convenience of description, only the portions related to the present invention are shown in the drawings. Embodiments of the present disclosure and features of embodiments may be combined with each other without conflict.

It should be noted that the terms "first," "second," and the like in this disclosure are merely used to distinguish between different devices, modules, or units and are not used to define an order or interdependence of functions performed by the devices, modules, or units.

It should be noted that references to "one", "a plurality" and "a plurality" in this disclosure are intended to be illustrative rather than limiting, and those of ordinary skill in the art will appreciate that "one or more" is intended to be understood as "one or more" unless the context clearly indicates otherwise.

The names of messages or information interacted between the various devices in the embodiments of the present disclosure are for illustrative purposes only and are not intended to limit the scope of such messages or information.

The present disclosure will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.

Fig. 1 illustrates a flow 100 of some embodiments of an item transport method according to the present disclosure. The method for transporting the articles comprises the following steps:

step 101, acquiring a vehicle image of a target vehicle and an information set of articles to be transported.

In some embodiments, the execution subject (e.g., server) of the method of transporting the item may obtain the vehicle image of the target vehicle and the item information set to be transported from the target database by means of a wired connection or a wireless connection. The target database may be a database storing a vehicle image of a target vehicle and an information set of articles to be transported. The vehicle image may be an image stored in the target database after the vehicle image is captured by an associated capturing device. The associated photographing apparatus may be an apparatus having a photographing function, which is communicatively connected to the execution subject. For example, the photographing apparatus may be a camera. The information of the to-be-transported articles in the information set of the to-be-transported articles may be information of the articles to be transported which are stored in advance. The article information to be transported in the article information set to be transported comprises an article starting position and an article transporting position. The item start location may be a shipping address of the item. The article transport location may be a shipping address of the article.

Step 102, performing recognition processing on the vehicle image to generate vehicle recognition information.

In some embodiments, the execution subject may perform an identification process on the vehicle image to generate vehicle identification information. In practice, the vehicle image may be input into a pre-trained vehicle information recognition model to obtain vehicle recognition information.

And step 103, selecting each item information to be transported meeting the preset condition from the item information set to be transported according to the vehicle identification information as a target item information set.

In some embodiments, the executing body may select, from the set of item information to be transported, each item information to be transported satisfying a preset condition as the set of target item information according to the vehicle identification information. The preset condition may be that each item corresponding to the selected information of each item to be transported can be placed in the target vehicle. Here, a greedy algorithm may be used to select, from the above-described set of item information to be transported, each item information to be transported that satisfies the preset condition as the set of target item information, so that the target vehicle loads more items.

And 104, determining a transportation route according to the initial position and the transportation position of the object included in each piece of object information in the object information set.

In some embodiments, the executing body may determine the transportation route according to an item start position and an item transportation position included in each target item information in the target item information set. In practice, the route of transportation may be determined by a shortest path algorithm.

In practice, the execution subject may determine the transportation route by:

first, acquiring transportation region information. Wherein the above-mentioned transportation region information includes a vehicle travel restriction information set. The vehicle travel restriction information in the set of vehicle travel restriction information may be information of a travel restriction of a certain region to the vehicle. As an example, the above-described vehicle travel restriction information may be license plate single-double number restriction information of a certain region. The territory may be an administrative territory.

And secondly, selecting the vehicle running limit information corresponding to the current time from the vehicle running limit information set included in the transportation region information as target limit information.

And thirdly, matching the vehicle identification information with the target limit information to generate a matching result. Wherein the matching process may be to determine whether the target restriction information matches the vehicle license plate number information included in the vehicle identification information.

And fourthly, responding to the matching result to represent that the vehicles are allowed to pass, and determining a transportation route according to the initial position and the transportation position of the objects included in each piece of object information in the object information set.

Optionally, after the fourth step, the method further comprises the steps of:

and fifthly, generating at least one alternative transportation route in response to receiving the road jam information corresponding to the transportation route.

And a sixth step of combining the transportation route with the at least one alternative transportation route to generate a target transportation route set.

Seventh, in response to detecting a selection operation of the vehicle terminal on any one of the target transport routes, the selected target transport route is transmitted to the vehicle terminal to be displayed.

Optionally, after the seventh step, the method further comprises the steps of:

eighth, in response to not detecting the selection operation of the vehicle terminal, for each of the target transportation routes in the set of target transportation routes, performing the following processing steps:

and a first processing step of acquiring road condition information corresponding to the target transportation route.

And a second processing step of inputting the target transportation route and the road condition information into a pre-trained transportation scoring model to obtain a transportation score.

And ninth, selecting the transportation score meeting the preset condition from the obtained transportation scores as a target score, and sending a target transportation route corresponding to the target score to the vehicle terminal for display.

Step 105, in response to receiving the vehicle start information of the target vehicle, identifying a driver of the target vehicle.

In some embodiments, the executing body may identify a driver of the target vehicle in response to receiving vehicle start information of the target vehicle.

In practice, the driver of the above-mentioned target vehicle can be identified by:

first, in response to receiving vehicle start information of a target vehicle, preset driver information, driver images and driver voice information are acquired. The preset driver information may be information of a driver (driver) stored in advance. The driver image may be an image of a driver photographed by a photographing device provided in the vehicle. The driver's voice information may be voice information of a driver recorded by a recording apparatus having a recording function provided in a vehicle.

And secondly, carrying out voiceprint matching processing on the voice information of the driver so as to generate a matching result. Here, the voice print matching process may be performed on the above-described driver voice information using the End to End algorithm to generate a matching result.

And thirdly, matching the driver image with the matching result according to the preset driver information to generate a matching result as a recognition result.

And 106, transmitting the transport route to a vehicle terminal of the target vehicle according to the identification result so as to transport each article corresponding to the target article information set.

In some embodiments, the executing body may send the transportation route to a vehicle terminal of the target vehicle according to the identification result, so as to transport each item corresponding to the target item information set.

Optionally, after step 106, the method further comprises the steps of:

first, in response to detecting that the vehicle state is a running state, real-time voice detection is performed on the driver.

In some embodiments, the executing body may perform real-time voice detection on the driver in response to detecting that the vehicle state is a driving state. The voice detection may be to detect whether the voiceprint received by the receiving device matches with a preset voiceprint.

And secondly, responding to the detection result to represent that the received voiceprint accords with the preset voiceprint, and recording voice information of a driver to generate an audio file.

In some embodiments, the executing entity may record the voice information of the driver to generate the audio file in response to the detection result indicating that the voiceprint matches.

And thirdly, carrying out audio enhancement processing on the audio file to generate an enhanced audio file.

In some embodiments, the execution body may perform audio enhancement processing on the audio file to generate an enhanced audio file. In practice, the above-described audio files may be input into a pre-trained speech enhancement network to generate enhanced audio files. For example, the speech enhancement network may be a convolutional neural network model.

In some alternative implementations of some embodiments, the audio file may be audio enhancement processed by the following sub-steps:

the first substep, performing short-time Fourier transform on the audio file to generate a voice complex frequency spectrum.

And a second sub-step of performing modulo processing on the speech complex spectrum to generate a speech magnitude spectrum.

And a third sub-step of performing splicing processing on the voice complex spectrum and the voice magnitude spectrum to generate a spliced spectrum. The splicing process may be a splicing process performed in a channel dimension.

And a fourth substep, inputting the spliced frequency spectrum into a preset encoder to obtain high-dimensional frequency domain information. Wherein, the preset encoder can comprise a convolution module. The preset encoder is used for extracting voice frequency domain information.

And a fifth sub-step of performing attention mechanism processing on the high-dimensional frequency domain information to generate frequency domain global information, frequency domain local information and two-dimensional structure information. Here, the above-described high-dimensional frequency domain information may be input into the attention mechanism model to perform attention mechanism processing. As an example, the attention mechanism model may be a pre-trained parallel reactor model.

And a sixth sub-step of inputting the frequency domain global information, the frequency domain local information and the two-dimensional structure information to a mask decoder to generate an amplitude spectrum mask.

A seventh substep of inputting the frequency domain global information, the frequency domain local information, and the two-dimensional structure information to a complex decoder to generate an enhanced complex spectrum.

And an eighth sub-step of summing the amplitude spectrum mask and the enhanced complex spectrum to generate a complex spectrum.

And a ninth substep of performing an inverse short-time fourier transform on the complex spectrum to generate enhanced speech as an enhanced audio file.

And fourthly, inputting the enhanced audio file into a pre-trained semantic recognition model to generate a recognition result.

In some embodiments, the executing entity may input the enhanced audio file into a pre-trained semantic recognition model to generate a recognition result. Wherein, the semantic recognition model can be a pre-trained large language model.

And fifthly, updating the transportation route according to the semantic represented by the identification result, and sending the updated transportation route to the vehicle terminal for display.

The related matters in the first step to the fifth step are taken as an invention point of the present disclosure, and the second problem mentioned in the background art is solved, in which a driver generally needs to switch a destination of a vehicle navigation to drive a correct route during transportation of the vehicle, and only one hand controls a steering wheel when the destination is manually switched, so that driving safety is low. Factors that cause the driving safety to be low are often as follows: during transportation of the vehicle, the driver often needs to switch the destination of the vehicle navigation to drive the correct route, and when the destination is manually switched, only one hand controls the steering wheel, resulting in lower driving safety. If the above factors are solved, the effect of improving the driving safety can be achieved. To achieve this effect, first, in response to detecting that the vehicle state is a running state, real-time voice detection is performed on the driver. Thus, the voice of the person on the vehicle can be received in real time. Secondly, responding to the detection result to represent that the received voiceprint accords with the preset voiceprint, and recording voice information of a driver to generate an audio file. Thus, the voice of the driver can be recorded. Thirdly, the audio file is subjected to audio enhancement processing to generate an enhanced audio file. Therefore, the voice of the driver can be enhanced, the situation of voice recognition errors caused by noise and other problems is avoided, the recognition accuracy rate can be improved, and the driving safety is improved. Fourth, the enhanced audio file is input to a pre-trained semantic recognition model to generate a recognition result. Thereby, the semantics of the driver's voice can be recognized. Fifth, according to the semantic represented by the identification result, updating the transportation route, and sending the updated transportation route to the vehicle terminal for display. Therefore, route navigation can be performed on the target vehicle in a semantic recognition mode, and driving safety is further improved.

Optionally, after step 106, the method further comprises the steps of:

first, acquiring a current frame image of a driver in real time.

In some embodiments, the executing body may acquire the current frame image of the driver in real time. In practice, the current frame image of the driver can be acquired in real time through an image pickup device connected with the vehicle terminal in a wired or wireless manner. The image capturing device may be a camera.

And a second step of determining facial similarity between the current frame image and the previous frame image in response to the current frame image not being the first frame image.

In some embodiments, the execution body may determine the facial similarity of the current frame image and the previous frame image in response to the current frame image not being the first frame image. Here, first, the face regions of the current frame image and the previous frame image may be determined by an OpenCV-based face region recognition algorithm. Second, the similarity of the face areas of the current frame image and the previous frame image is determined as the face similarity.

And thirdly, deleting the previous frame of image in response to the facial similarity being greater than or equal to a preset similarity.

In some embodiments, the executing body may delete the previous frame image in response to the facial similarity being equal to or greater than a preset similarity.

And a fourth step of inputting the current frame image to a behavior recognition model in response to the facial similarity being smaller than the preset similarity, so as to generate a recognition result.

In some embodiments, the executing body may input the current frame image to the behavior recognition model in response to the facial similarity being less than the preset similarity, to generate the recognition result. The behavior recognition model may be a classification model for recognizing the behavior of the driver. For example, the behavior recognition model may be a convolutional neural network model.

And fifthly, responding to the identification result to represent the abnormal behavior, and carrying out alarm operation on the target terminal.

In some embodiments, the executing body may perform an alarm operation to the target terminal in response to the identification result to characterize the behavioral abnormality. Wherein the behavior abnormality may characterize that the behavior of the driver is independent of the driving behavior. For example, the behavioral anomalies described above may be indicative of the driver's hands off the steering wheel.

With further reference to fig. 2, as an implementation of the method shown in the above figures, the present disclosure provides some embodiments of an article transport device, which correspond to those method embodiments shown in fig. 1, which are particularly applicable in various electronic apparatuses.

As shown in fig. 2, some embodiments of an item transport device 200 include: an acquisition unit 201, a first identification unit 202, a selection unit 203, a determination unit 204, a second identification unit 205, and a transmission unit 206. Wherein the acquiring unit 201 is configured to acquire a vehicle image of a target vehicle and a set of item information to be transported, wherein the item information to be transported in the set of item information to be transported includes an item start position and an item transport position; the first recognition unit 202 is configured to perform recognition processing on the above-described vehicle image to generate vehicle recognition information; the selecting unit 203 is configured to select, as a target item information set, each item information to be transported satisfying a preset condition from the item information set to be transported according to the vehicle identification information; the determining unit 204 is configured to determine a transportation route based on the article start position and the article transportation position included in each of the target article information in the target article information set; the second identifying unit 205 is configured to identify a driver of the target vehicle in response to receiving the vehicle start information of the target vehicle; the transmitting unit 206 is configured to transmit the transport route to the vehicle terminal of the target vehicle according to the identification result, so as to transport each item corresponding to the target item information set.

It will be appreciated that the elements described in the article transport device 200 correspond to the various steps in the method described with reference to fig. 1. Thus, the operations, features, and benefits described above with respect to the method are equally applicable to the article transport device 200 and the units contained therein, and are not described in detail herein.

Referring now to fig. 3, a schematic diagram of an electronic device 300 suitable for use in implementing some embodiments of the present disclosure is shown. The electronic devices in some embodiments of the present disclosure may include, but are not limited to, mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), car terminals (e.g., car navigation terminals), and the like, as well as stationary terminals such as digital TVs, desktop computers, and the like. The electronic device shown in fig. 3 is merely an example and should not impose any limitations on the functionality and scope of use of embodiments of the present disclosure.

As shown in fig. 3, the electronic device 300 may include a processing means 301 (e.g., a central processing unit, a graphics processor, etc.) that may perform various suitable actions and processes in accordance with a program stored in a Read Only Memory (ROM) 302 or a program loaded from a storage means 308 into a Random Access Memory (RAM) 303. In the RAM 303, various programs and data required for the operation of the electronic apparatus 300 are also stored. The processing device 301, the ROM 302, and the RAM 303 are connected to each other via a bus 304. An input/output (I/O) interface 305 is also connected to bus 304.

In general, the following devices may be connected to the I/O interface 305: input devices 306 including, for example, a touch screen, touchpad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; an output device 307 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage 308 including, for example, magnetic tape, hard disk, etc.; and communication means 309. The communication means 309 may allow the electronic device 300 to communicate with other devices wirelessly or by wire to exchange data. While fig. 3 shows an electronic device 300 having various means, it is to be understood that not all of the illustrated means are required to be implemented or provided. More or fewer devices may be implemented or provided instead. Each block shown in fig. 3 may represent one device or a plurality of devices as needed.

In particular, according to some embodiments of the present disclosure, the processes described above with reference to flowcharts may be implemented as computer software programs. For example, some embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method shown in the flow chart. In such embodiments, the computer program may be downloaded and installed from a network via communications device 309, or from storage device 308, or from ROM 302. The above-described functions defined in the methods of some embodiments of the present disclosure are performed when the computer program is executed by the processing means 301.

It should be noted that, the computer readable medium described in some embodiments of the present disclosure may be a computer readable signal medium or a computer readable storage medium, or any combination of the two. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples of the computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In some embodiments of the present disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In some embodiments of the present disclosure, however, the computer-readable signal medium may comprise a data signal propagated in baseband or as part of a carrier wave, with the computer-readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, fiber optic cables, RF (radio frequency), and the like, or any suitable combination of the foregoing.

In some implementations, the clients, servers may communicate using any currently known or future developed network protocol, such as HTTP (HyperText Transfer Protocol ), and may be interconnected with any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), the internet (e.g., the internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future developed networks.

The computer readable medium may be contained in the electronic device; or may exist alone without being incorporated into the electronic device. The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: and acquiring a vehicle image of the target vehicle and an information set of the articles to be transported, wherein the information set of the articles to be transported comprises an article starting position and an article transporting position. And carrying out recognition processing on the vehicle image to generate vehicle recognition information. And selecting each item information to be transported meeting preset conditions from the item information set to be transported according to the vehicle identification information as a target item information set. And determining a transportation route according to the article starting position and the article transportation position included in each piece of target article information in the target article information set. And identifying a driver of the target vehicle in response to receiving the vehicle start information of the target vehicle. And according to the identification result, the transport route is sent to the vehicle terminal of the target vehicle so as to transport each article corresponding to the target article information set.

Computer program code for carrying out operations for some embodiments of the present disclosure may be written in one or more programming languages, including an object oriented programming language such as Java, smalltalk, C ++ and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider).

The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

The units described in some embodiments of the present disclosure may be implemented by means of software, or may be implemented by means of hardware. The described units may also be provided in a processor, for example, described as: a processor includes an acquisition unit, a first identification unit, a selection unit, a determination unit, a second identification unit, and a transmission unit. The names of these units do not constitute limitations on the unit itself in some cases, and for example, the acquisition unit may also be described as "a unit that acquires a vehicle image of a target vehicle and an item information set to be transported".

The functions described above herein may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: a Field Programmable Gate Array (FPGA), an Application Specific Integrated Circuit (ASIC), an Application Specific Standard Product (ASSP), a system on a chip (SOC), a Complex Programmable Logic Device (CPLD), and the like.

The foregoing description is only of the preferred embodiments of the present disclosure and description of the principles of the technology being employed. It will be appreciated by those skilled in the art that the scope of the invention in the embodiments of the present disclosure is not limited to the specific combination of the above technical features, but encompasses other technical features formed by any combination of the above technical features or their equivalents without departing from the spirit of the invention. Such as the above-described features, are mutually substituted with (but not limited to) the features having similar functions disclosed in the embodiments of the present disclosure.

Claims

1. A method of transporting an article, comprising:

acquiring a vehicle image of a target vehicle and an information set of articles to be transported, wherein the articles to be transported in the information set of articles to be transported comprises an article starting position and an article transporting position;

performing recognition processing on the vehicle image to generate vehicle recognition information;

selecting all the article information to be transported meeting preset conditions from the article information set to be transported according to the vehicle identification information as a target article information set;

determining a transport route according to the article starting position and the article transport position included in each piece of target article information in the target article information set;

identifying a driver of the target vehicle in response to receiving vehicle start information of the target vehicle;

and according to the identification result, the transportation route is sent to a vehicle terminal of the target vehicle so as to transport each article corresponding to the target article information set.

2. The method of claim 1, wherein the identifying the driver of the target vehicle in response to receiving vehicle start information for the target vehicle comprises:

acquiring preset driver information, driver images and driver voice information in response to receiving vehicle starting information of a target vehicle;

voiceprint matching processing is carried out on the voice information of the driver so as to generate a matching result;

and matching the driver image with the matching result according to the preset driver information to generate a matching result as a recognition result.

3. The method of claim 1, wherein the determining a transportation route from the item start location and the item transportation location included in each of the target item information in the set of target item information comprises:

acquiring transportation region information, wherein the transportation region information comprises a vehicle driving restriction information set;

selecting vehicle running limit information corresponding to the current time from the vehicle running limit information set included in the transportation region information as target limit information;

matching the vehicle identification information with the target limit information to generate a matching result;

and responding to the matching result to represent that the vehicles are allowed to pass, and determining a transportation route according to the initial position and the transportation position of the objects included in each piece of object information in the object information set.

4. A method according to claim 3, wherein the method further comprises:

generating at least one alternative transportation route in response to receiving road congestion information corresponding to the transportation route;

combining the transportation route with the at least one alternative transportation route to generate a target transportation route set;

in response to detecting a selection operation of the vehicle terminal on any one of the target transportation routes, the selected target transportation route is sent to the vehicle terminal for display.

5. The method of claim 4, wherein the method further comprises:

in response to not detecting the selection operation of the vehicle terminal, for each target transportation route in the set of target transportation routes, performing the following processing steps:

acquiring road condition information corresponding to the target transportation route;

inputting the target transportation route and the road condition information into a pre-trained transportation scoring model to obtain a transportation score;

and selecting the transportation score meeting the preset condition from the obtained transportation scores as a target score, and sending a target transportation route corresponding to the target score to the vehicle terminal for display.

6. The method of claim 1, wherein the method further comprises:

acquiring a current frame image of a driver in real time;

determining facial similarity of the current frame image and a previous frame image in response to the current frame image not being the first frame image;

deleting the previous frame image in response to the facial similarity being greater than or equal to a preset similarity;

responding to the fact that the facial similarity is smaller than the preset similarity, inputting the current frame image into a behavior recognition model to generate a recognition result;

and responding to the identification result to represent abnormal behavior, and carrying out alarm operation on the target terminal.

7. An article transport device comprising:

an acquisition unit configured to acquire a vehicle image of a target vehicle and a to-be-transported article information set, wherein to-be-transported article information in the to-be-transported article information set includes an article start position and an article transport position;

a first recognition unit configured to perform recognition processing on the vehicle image to generate vehicle recognition information;

a selecting unit configured to select, from the to-be-transported item information set, each to-be-transported item information satisfying a preset condition as a target item information set according to the vehicle identification information;

a determining unit configured to determine a transportation route according to an article start position and an article transportation position included in each target article information in the target article information set;

a second identifying unit configured to identify a driver of the target vehicle in response to receiving vehicle start information of the target vehicle;

and a transmitting unit configured to transmit the transportation route to a vehicle terminal of the target vehicle according to the identification result, so as to transport each item corresponding to the target item information set.

8. An electronic device, comprising:

one or more processors;

a storage device having one or more programs stored thereon;

when executed by the one or more processors, causes the one or more processors to implement the method of any of claims 1 to 6.

9. A computer readable medium having stored thereon a computer program, wherein the program when executed by a processor implements the method of any of claims 1 to 6.