CN107609809B - Method, system, device and storage medium for rejecting articles based on unmanned delivery vehicle - Google Patents
Method, system, device and storage medium for rejecting articles based on unmanned delivery vehicle Download PDFInfo
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Abstract
The invention discloses an article rejecting method based on an unmanned delivery vehicle, which comprises the following steps: when an article rejection request sent by an unmanned delivery vehicle is received, article information corresponding to the article rejection request is obtained; after the article is confirmed to be the article sent by the unmanned sending vehicle according to the article information, video communication with the unmanned sending vehicle is established; setting the status of the item as consent-rejection upon receiving a confirmation instruction according to the item rejection condition being met based on the video communication input. The invention also discloses an article rejecting system, an article rejecting device and a storage medium based on the unmanned delivery vehicle. According to the invention, the unmanned dispatching vehicle can judge whether the articles can be rejected through video communication, so that the unmanned dispatching vehicle has a rejection function, and the user experience is improved.
Description
Technical Field
The invention relates to the technical field of unmanned delivery vehicles, in particular to an article rejection method, system, device and storage medium based on an unmanned delivery vehicle.
Background
Along with the improvement of living standard of people, the ability of people to buy articles is gradually improved, and people tend to buy articles on line more and more due to the arrival of big data times and the acceleration of life rhythm of people. In order to deliver the item to the user, the merchant needs to cooperate with the logistics company, but if the user is near the merchant, the merchant can employ an unmanned delivery vehicle to deliver the item to the user, so as to save delivery cost.
However, the existing unmanned delivery vehicle does not have a rejection function, and when a user finds that the articles delivered by the unmanned delivery vehicle have problems, the articles need to be sent out in other modes, so that the user experience is reduced.
Disclosure of Invention
The invention mainly aims to provide an article rejecting method, system, device and storage medium based on an unmanned delivery vehicle, and aims to solve the problems that the unmanned delivery vehicle does not have a rejecting function and the user experience is reduced.
In order to achieve the above object, the present invention provides an article rejecting method based on an unmanned delivery vehicle, comprising the steps of:
when an article rejection request sent by an unmanned delivery vehicle is received, article information corresponding to the article rejection request is obtained;
after the article is confirmed to be the article sent by the unmanned sending vehicle according to the article information, video communication with the unmanned sending vehicle is established;
setting the status of the item as consent-rejection upon receiving a confirmation instruction according to the item rejection condition being met based on the video communication input. Preferably, after the step of initiating video communication between the server and the unmanned dispatch vehicle, the method further comprises:
detecting a bandwidth margin of video communication of the unmanned dispatch vehicle;
when the bandwidth allowance is smaller than a preset threshold value, sending a first shooting instruction to the unmanned delivery vehicle so that the unmanned delivery vehicle shoots a first video and receives the first video fed back by the unmanned delivery vehicle;
when a video frame picture matched with a pre-stored picture does not exist in the first video, setting the state of the article as agreement rejection;
and when the bandwidth allowance is larger than or equal to a preset threshold value, executing the step of setting the state of the article as the rejection agreement when receiving a confirmation instruction which is input according to the video communication and accords with the article rejection condition.
Preferably, before the step of setting the state of the article as approval rejection when there is no video frame picture matching with a pre-stored video picture in the first video, the method further includes:
acquiring dialogue information in the first video, and acquiring a prestored picture corresponding to the article information;
extracting a corresponding video frame picture from the first video according to the dialogue information, extracting a pre-stored picture to be matched from the pre-stored picture according to the dialogue information, and judging whether the pre-stored picture to be matched is matched with the video frame picture;
if so, judging that a video frame picture matched with a pre-stored video picture exists in the first video;
if not, judging that no video frame picture matched with a pre-stored video picture exists in the first video.
Preferably, after the step of setting the status of the item as consent-rejection, the method further includes:
sending a bin gate opening instruction and a second shooting instruction to the unmanned delivery vehicle so as to open the bin gate of the unmanned delivery vehicle and shoot a second video;
after receiving the second video fed back by the unmanned delivery vehicle, judging whether the articles are placed in a bin body corresponding to the bin gate according to the second video;
and when the article is judged to be placed into the bin body and closing operation information based on the bin door is received, setting the state of the article as completion rejection.
Preferably, the method for rejecting the articles based on the unmanned delivery vehicle further comprises:
after the state of the article is set to be refused, judging whether a bin gate for distributing the article is closed or not;
and when the door for dispatching the goods is judged to be closed, executing the step of sending a door opening instruction and a shooting instruction to the unmanned dispatching vehicle.
Preferably, after the step of setting the status of the item as consent-rejection, the method further includes:
and when the operation request of the unmanned dispatching vehicle is not received within a preset time length, judging that the object rejection is unsuccessful, and sending an object dispatching instruction to the unmanned dispatching vehicle so as to enable the unmanned dispatching vehicle to operate to a next dispatching place.
Preferably, the step of acquiring the item information corresponding to the item rejection request includes:
when an article rejection request sent by the unmanned delivery vehicle is received, providing an article information interface to the unmanned delivery vehicle;
and acquiring the article information according to the input content of the article information interface.
In order to achieve the above object, the present invention further provides an unmanned delivery vehicle-based article rejection device, which includes a processor, a memory, and an unmanned delivery vehicle-based article rejection program stored in the memory and operable on the processor, wherein the unmanned delivery vehicle-based article rejection program, when executed by the processor, implements the unmanned delivery vehicle-based article rejection method.
In order to achieve the above object, the present invention further provides an unmanned delivery vehicle-based article rejection system, which includes an unmanned delivery vehicle-based article rejection apparatus, an unmanned delivery vehicle, and a server, wherein,
the unmanned delivery vehicle is used for sending an article rejection request to the server;
the server is used for acquiring article information corresponding to the article rejection request when receiving the article rejection request sent by the unmanned delivery vehicle, starting video communication between the server and the unmanned delivery vehicle after confirming that the article is the article delivered by the unmanned delivery vehicle according to the article information, and setting the state of the article as rejection agreement when receiving a confirmation instruction which is input according to the video communication and accords with the article rejection condition.
In order to achieve the above object, the present invention further provides a storage medium storing an unmanned delivery vehicle-based item rejection program, which when executed by the processor implements the unmanned delivery vehicle-based item rejection method as described above.
According to the method, the system, the device and the storage medium for rejecting the articles based on the unmanned delivery vehicle, when a server receives an article rejection request generated by the unmanned delivery vehicle, article information is obtained according to the article rejection request, after the articles are confirmed to be the articles delivered by the unmanned delivery vehicle according to the article information, video communication between the server and the unmanned delivery vehicle is established, and whether the articles meet rejection conditions or not is judged according to the video communication so as to determine whether the articles are rejected or not; because the unmanned delivery vehicle can judge whether the articles can be rejected through video communication, the unmanned delivery vehicle has a rejection function, and the user experience is improved.
Drawings
FIG. 1 is a system architecture diagram according to an embodiment of the present invention;
FIG. 2 is a diagram illustrating a hardware operating environment of a server according to an embodiment of the present invention;
FIG. 3 is a schematic flow chart of a first embodiment of the unmanned delivery vehicle-based item rejection method of the present invention;
FIG. 4 is a schematic flow chart illustrating a second embodiment of the unmanned delivery vehicle-based item rejection method of the present invention;
fig. 5 is a schematic flow chart of a third embodiment of the unmanned delivery vehicle-based article rejection method according to the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The main solution of the embodiment of the invention is as follows: the method comprises the steps that when an article rejection request sent by an unmanned delivery vehicle is received by a server, article information corresponding to the article rejection request is obtained; after the article is confirmed to be the article sent by the unmanned sending vehicle according to the article information, video communication with the unmanned sending vehicle is established; setting the status of the item as consent-rejection upon receiving a confirmation instruction according to the item rejection condition being met based on the video communication input.
Because among the prior art, current unmanned delivery car does not possess the rejection function, when the user finds that the article that is dispatched by unmanned delivery car goes wrong, need send out article with other modes, reduced user's experience.
The invention provides a solution, and the unmanned delivery vehicle can judge whether the articles can be rejected through video communication, so that the unmanned delivery vehicle has a rejection function, and the user experience is improved.
As shown in fig. 1, the method of the present embodiment relates to a system architecture including an unmanned delivery vehicle and a server.
The unmanned delivery vehicle is used for sending an article rejection request to the server;
the server is used for acquiring article information corresponding to the article rejection request when receiving the article rejection request sent by the unmanned delivery vehicle, starting video communication between the server and the unmanned delivery vehicle after confirming that the article is the article delivered by the unmanned delivery vehicle according to the article information, and setting the state of the article as rejection agreement when receiving a confirmation instruction which is input according to the video communication and accords with the article rejection condition.
As an implementation, the hardware structure of the server may be as described in fig. 2.
Referring to fig. 2, the server may include: a processor 1001, such as a CPU, a memory 1002, and a communication bus 1003. The communication bus 1003 is used for implementing connection communication between the components in the server. The memory 1002 may be a high-speed RAM memory or a non-volatile memory (e.g., a disk memory). The memory 1002 may alternatively be a storage device separate from the processor 1001.
As shown in fig. 2, an unmanned dispatch vehicle-based item rejection program may be included in memory 1002 as a type of computer storage medium.
In the server shown in fig. 2, processor 1001 may be configured to invoke an unmanned dispatch cart based item rejection program stored in memory 1002 and perform the following operations:
when an article rejection request sent by an unmanned delivery vehicle is received, article information corresponding to the article rejection request is obtained;
after the article is confirmed to be the article sent by the unmanned sending vehicle according to the article information, video communication with the unmanned sending vehicle is established;
setting the status of the item as consent-rejection upon receiving a confirmation instruction according to the item rejection condition being met based on the video communication input. Further, processor 1001 may invoke an unmanned dispatch cart based item rejection program stored in memory 1002 to perform the following operations:
detecting a bandwidth margin of video communication of the unmanned dispatch vehicle;
when the bandwidth allowance is smaller than a preset threshold value, sending a first shooting instruction to the unmanned delivery vehicle so that the unmanned delivery vehicle shoots a first video and receives the first video fed back by the unmanned delivery vehicle;
when a video frame picture matched with a pre-stored picture does not exist in the first video, setting the state of the article as agreement rejection;
and when the bandwidth allowance is larger than or equal to a preset threshold value, executing the step of setting the state of the article as the rejection agreement when receiving a confirmation instruction which is input according to the video communication and accords with the article rejection condition.
Further, processor 1001 may invoke an unmanned dispatch cart based item rejection program stored in memory 1002 to perform the following operations:
acquiring dialogue information in the first video, and acquiring a prestored picture corresponding to the article information;
extracting a corresponding video frame picture from the first video according to the dialogue information, extracting a pre-stored picture to be matched from the pre-stored picture according to the dialogue information, and judging whether the pre-stored picture to be matched is matched with the video frame picture;
if so, judging that a video frame picture matched with a pre-stored video picture exists in the first video;
if not, judging that no video frame picture matched with a pre-stored video picture exists in the first video.
Further, processor 1001 may invoke an unmanned dispatch cart based item rejection program stored in memory 1002 to perform the following operations:
sending a bin gate opening instruction and a second shooting instruction to the unmanned delivery vehicle so as to open the bin gate of the unmanned delivery vehicle and shoot a second video;
after receiving the second video fed back by the unmanned delivery vehicle, judging whether the articles are placed in a bin body corresponding to the bin gate according to the second video;
and when the article is judged to be placed into the bin body and closing operation information based on the bin door is received, setting the state of the article as completion rejection.
Further, processor 1001 may invoke an unmanned dispatch cart based item rejection program stored in memory 1002 to perform the following operations:
after the state of the article is set to be refused, judging whether a bin gate for distributing the article is closed or not;
and when the door for dispatching the goods is judged to be closed, executing the step of sending a door opening instruction and a shooting instruction to the unmanned dispatching vehicle.
Further, processor 1001 may invoke an unmanned dispatch cart based item rejection program stored in memory 1002 to perform the following operations:
and when the operation request of the unmanned dispatching vehicle is not received within a preset time length, judging that the object rejection is unsuccessful, and sending an object dispatching instruction to the unmanned dispatching vehicle so as to enable the unmanned dispatching vehicle to operate to a next dispatching place.
Further, processor 1001 may invoke an unmanned dispatch cart based item rejection program stored in memory 1002 to perform the following operations:
when an article rejection request sent by the unmanned delivery vehicle is received, providing an article information interface to the unmanned delivery vehicle;
and acquiring the article information according to the input content of the article information interface.
According to the scheme, when the server receives an article rejection request generated by an unmanned delivery vehicle, the server obtains article information according to the article rejection request, establishes video communication between the server and the unmanned delivery vehicle after confirming that the article is the article delivered by the unmanned delivery vehicle according to the article information, and then judges whether the article meets a rejection condition according to the video communication so as to determine whether the article is rejected; because the unmanned delivery vehicle can judge whether the articles can be rejected through video communication, the unmanned delivery vehicle has a rejection function, and the user experience is improved.
Based on the hardware architecture, the embodiment of the invention is provided based on the goods rejection method of the unmanned delivery vehicle.
Referring to fig. 3, fig. 3 is a first embodiment of the unmanned delivery vehicle-based article rejection method according to the present invention, which includes:
step S10, when an article rejection request sent by an unmanned delivery vehicle is received, acquiring article information corresponding to the article rejection request;
according to the invention, the unmanned delivery vehicle is provided with a display screen, a server is displayed on the display screen to generate an operation interface, and a user can perform related operations on the delivered articles of the unmanned delivery vehicle according to the operation interface, such as determining pickup, sending, receiving and the like; the unmanned delivery vehicle is also provided with a camera and a sensor, so that the unmanned delivery vehicle can conveniently identify a route and avoid obstacles, and the camera can also be used for shooting whether a user takes and sends a piece in real time; the unmanned delivery vehicle is provided with a plurality of cabin bodies, and each cabin body can store delivered articles.
After a user takes out an article from an upper bin body of an unmanned delivery vehicle, if the user finds that the article has a problem and wants to be rejected, the user can operate on a display screen of the unmanned delivery vehicle to send an article rejection request to a server, the server first generates an article information interface to send the article information (such as the name and order number of the article) to the unmanned delivery vehicle and display the article information on the display screen after receiving the article rejection request, so that the user can fill in the article information, and after receiving confirmation information of the article information interface, the server obtains the article information from filling contents in the article information interface.
Step S20, after confirming that the object is the object sent by the unmanned sending vehicle according to the object information, establishing video communication with the unmanned sending vehicle;
after the service verifies that the object is dispatched by the unmanned dispatching vehicle through the object information, the server establishes double-current video communication with the unmanned dispatching vehicle, so that customer service personnel can perform video communication with the user, and whether the dispatched object has a problem or not is judged.
A step S30 of setting the status of the item as approval for rejection upon receiving a confirmation instruction according to the agreement with the item rejection condition input based on the video communication;
when the customer service confirms that the goods have problems, the customer service inputs a condition of refusal in an operation interface displayed on a display screen of the server, the server sets the state of the goods as refusal agreement when receiving the confirmation instruction, then cuts off double-flow video communication between the server and the unmanned delivery vehicle, and carries out the next step.
When the server agrees to reject the article, the server sends a bin gate opening instruction to the unmanned delivery vehicle, so that the unmanned delivery vehicle opens a bin gate of an idle bin body, and a user can put the article into the bin body. It should be noted that before the server sends the bin gate opening instruction, the server needs to confirm whether the bin gate of the bin body for dispatching the article is closed, so as to ensure that the bin body with no empty goods dispatching car stores rejected articles; in addition, the second video can be shot by the user using a mobile phone or by an unmanned delivery vehicle.
In addition, if the server agrees to reject the item and does not receive the operation of the user based on the unmanned delivery vehicle within a preset time (the preset time can be any suitable value, for example, 10min), the server determines that the user has no further operation and determines that the item rejection is not successful, that is, the current package rejection is unsuccessful, and the server sends a delivery instruction to the unmanned delivery vehicle, so that the unmanned delivery vehicle continues to deliver the item according to a preset path.
In the technical scheme provided by this embodiment, when receiving an article rejection request from an unmanned delivery vehicle, a server obtains article information according to the article rejection request, establishes video communication between the server and the unmanned delivery vehicle after confirming that the article is the article delivered by the unmanned delivery vehicle according to the article information, and then judges whether the article meets a rejection condition according to the video communication to determine whether to reject the article; because the unmanned delivery vehicle can judge whether the articles can be rejected through video communication, the unmanned delivery vehicle has a rejection function, and the user experience is improved.
Referring to fig. 4, fig. 4 is a diagram illustrating a second embodiment of the method for rejecting articles based on an unmanned delivery vehicle according to the present invention, wherein after step S20, the method further includes:
step S40, detecting the bandwidth allowance of the video communication of the unmanned dispatch vehicle;
step S50, when the bandwidth allowance is smaller than a preset threshold value, sending a first shooting instruction to the unmanned delivery vehicle to enable the unmanned delivery vehicle to shoot a first video, and receiving the first video fed back by the unmanned delivery vehicle;
step S60, when the first video does not have a video frame picture matched with a pre-stored picture, setting the state of the article as agreement and rejection; when the network condition between the server and the unmanned delivery vehicle is not good, namely the video signal sent by the unmanned delivery vehicle to the server is poor, the customer service cannot see the object displayed by the user clearly, so that whether the object has a problem cannot be judged, based on the method, after the video communication between the server and the unmanned delivery vehicle is established, the server detects the bandwidth allowance of the video communication of the unmanned delivery vehicle, so that the definition of the transmitted video can be judged according to the bandwidth allowance of the video communication of the unmanned delivery vehicle, when the bandwidth allowance of the video communication of the unmanned delivery vehicle is smaller than a preset threshold (the preset threshold can be any appropriate value), the server sends a shooting instruction to the unmanned delivery vehicle and sends shooting prompt information to the unmanned delivery vehicle to prompt the user to display the object in front of the camera, and it needs to be stated that the time for the unmanned delivery vehicle to shoot the user to reject the video (the first video) is fixed, when a user confirms shooting through the operation interface, the unmanned dispatch vehicle starts shooting the rejected video and starts timing, and when the shooting duration reaches a preset duration (for example, the preset duration is 180s), the unmanned dispatch vehicle uploads the shot rejected video to the server. It should be noted that, when the bandwidth margin is greater than or equal to the preset threshold, step S30 is executed.
The server prestores information of each article, such as color and shape of the article, and the information can be stored in the form of pictures. After the server receives the first video, the server extracts a pre-stored picture corresponding to the article according to article information sent by the user, then the server compares the pre-stored picture with the appearance picture of the article in the rejection video to judge whether the article received by the user is matched with the article sent by the merchant, if not, the rejection request of the user accords with a rejection flow, and the server agrees to reject the article and sets the state of the article as agreement to reject. It should be noted that different types of articles store different numbers of pre-stored pictures in the server, for example, a mobile phone of an electronic product, and only the front and the back of the mobile phone need to be stored, but if the articles are articles for daily use, for example, clothes, more pictures need to be stored, for example, a collar, sleeves, buttons, zippers, and the like of the clothes, so that whether the pre-stored pictures are matched with the video frame pictures corresponding to the first video can be more accurately judged.
In the technical scheme provided by the embodiment, when the bandwidth allowance of video communication is smaller than a preset threshold, the server sends a shooting instruction to the unmanned delivery vehicle, so that the unmanned delivery vehicle shoots a rejected video, and then whether the article is rejected or not is determined according to comparison between a pre-stored image of the article and a video frame image corresponding to the rejected video; the unmanned delivery vehicle can more reasonably judge whether to reject the articles.
Referring to fig. 5, fig. 5 is a third embodiment of the method for rejecting articles based on an unmanned delivery vehicle according to the present invention, and after step S50, the method further includes:
step S70, obtaining dialogue information according to the first video;
step S80, extracting a corresponding video frame picture from the first video according to the dialogue information, extracting a pre-stored picture to be matched from the pre-stored picture according to the dialogue information, and judging whether the pre-stored picture to be matched is matched with the video frame picture;
step S90, if yes, determining that a video frame picture matched with a pre-stored video picture exists in the first video;
step S100, if not, judging that no video frame picture matched with a pre-stored video picture exists in the first video;
in the first video, a user can describe an article, for example, which parts of the article have problems, the server can extract dialogue information in the first video, and then extract keywords from the dialogue information again, for example, the article received by the user is a mobile phone, if the display screen of the mobile phone is damaged, the user can certainly mention the display screen, the server only needs to extract keywords such as 'mobile phone', 'display screen', and the like, extract a video frame picture containing the mobile phone display screen from the video frame according to the keywords, meanwhile, the server can also directly extract the display screen picture of the mobile phone from a prestored picture according to the keywords 'display screen', compare and judge the prestored mobile phone display screen picture with the mobile phone display screen picture in the first video, if the prestored mobile phone display screen picture is not matched with the mobile phone display screen picture in the first video, the mobile phone display screen is determined to have problems, the server agrees to reject the mobile phone, sets the state of the mobile phone as agreement rejection, and starts the next action. After step S100, step S110 is further included: setting the status of the item to disapprove rejection; at this time, the server outputs the reason of unsuccessful rejection and sends the reason to the unmanned delivery vehicle so that the user can obtain the information.
In the technical scheme provided by the embodiment, the server extracts a corresponding video frame picture from the first video through the dialogue information of the first video, pre-stores pictures to be matched in advance from the pre-stored pictures according to the dialogue information, and agrees to reject the article when the video frame picture is not matched with the pre-stored pictures to be matched; the server screens the video frame pictures from the first video and screens the pictures to be matched from the prestored pictures according to the dialogue information, so that the matching workload of the server is reduced, and the flow of rejecting the articles is saved.
The invention also provides an unmanned delivery vehicle-based article rejection device, which comprises a processor, a memory and an unmanned delivery vehicle-based article rejection program stored on the memory and capable of running on the processor, wherein when the unmanned delivery vehicle-based article rejection program is executed by the processor, the steps of the unmanned delivery vehicle-based article rejection method are realized.
The invention also provides an article rejecting system based on the unmanned delivery vehicle, which comprises an article rejecting device based on the unmanned delivery vehicle, the unmanned delivery vehicle and a server, wherein,
the unmanned delivery vehicle is used for sending an article rejection request to the server;
the server is used for acquiring article information corresponding to the article rejection request when receiving the article rejection request sent by the unmanned delivery vehicle, starting video communication between the server and the unmanned delivery vehicle after confirming that the article is the article delivered by the unmanned delivery vehicle according to the article information, and setting the state of the article as rejection agreement when receiving a confirmation instruction which is input according to the video communication and accords with the article rejection condition.
The invention also provides a storage medium, wherein the storage medium stores an unmanned delivery vehicle-based article rejection program, and the unmanned delivery vehicle-based article rejection program realizes the steps of the unmanned delivery vehicle-based article rejection method according to the above embodiment when executed by the processor.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) as described above and includes instructions for enabling a terminal device (e.g., a television, a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (9)
1. The method for rejecting the articles based on the unmanned delivery vehicle is characterized by comprising the following steps of:
when an article rejection request sent by an unmanned delivery vehicle is received, article information corresponding to the article rejection request is obtained;
after the article is confirmed to be the article sent by the unmanned sending vehicle according to the article information, video communication with the unmanned sending vehicle is established;
detecting a bandwidth margin of video communication of the unmanned dispatch vehicle;
when the bandwidth allowance is larger than or equal to a preset threshold value and a confirmation instruction which accords with the article rejection condition and is input based on the video communication is received, setting the state of the article as rejection agreement;
when the bandwidth allowance is smaller than a preset threshold value, sending a first shooting instruction to the unmanned delivery vehicle so that the unmanned delivery vehicle shoots a first video and receives the first video fed back by the unmanned delivery vehicle;
acquiring keywords of dialogue information in the first video, and acquiring a prestored picture corresponding to the article information;
extracting a corresponding video frame picture from the first video according to the keyword, extracting a pre-stored picture to be matched corresponding to the keyword from the pre-stored picture, and judging whether the pre-stored picture to be matched is matched with the video frame picture;
and when no video frame picture matched with a pre-stored picture exists in the first video, setting the state of the article as agreement rejection, wherein the pre-stored picture to be matched is not matched with the video frame picture, and judging that no video frame picture matched with the pre-stored video picture exists in the first video.
2. The unmanned dispatch vehicle-based item rejection method of claim 1, wherein after the step of determining whether the pre-stored picture to be matched matches the video frame picture, further comprising:
and if so, judging that a video frame picture matched with a pre-stored video picture exists in the first video.
3. The unmanned dispatch vehicle-based item rejection method of claim 1, wherein said step of setting the status of said item as approved for rejection further comprises:
sending a bin gate opening instruction and a second shooting instruction to the unmanned delivery vehicle so as to open the bin gate of the unmanned delivery vehicle and shoot a second video;
after receiving the second video fed back by the unmanned delivery vehicle, judging whether the articles are placed in a bin body corresponding to the bin gate according to the second video;
and when the article is judged to be placed into the bin body and closing operation information based on the bin door is received, setting the state of the article as completion rejection.
4. The unmanned dispatch vehicle-based item rejection method of claim 3, wherein the unmanned dispatch vehicle-based item rejection method further comprises:
after the state of the article is set to be refused, judging whether a bin gate for distributing the article is closed or not;
and when the door for dispatching the goods is judged to be closed, executing the step of sending a door opening instruction and a shooting instruction to the unmanned dispatching vehicle.
5. The unmanned dispatch vehicle-based item rejection method of any one of claims 1-4, wherein said step of setting the status of the item as approved for rejection further comprises:
and when the operation request of the unmanned dispatching vehicle is not received within a preset time length, judging that the object rejection is unsuccessful, and sending an object dispatching instruction to the unmanned dispatching vehicle so as to enable the unmanned dispatching vehicle to operate to a next dispatching place.
6. The unmanned dispatch vehicle-based item rejection method of any one of claims 1-4, wherein said step of obtaining item information corresponding to said item rejection request comprises:
when an article rejection request sent by the unmanned delivery vehicle is received, providing an article information interface to the unmanned delivery vehicle;
and acquiring the article information according to the input content of the article information interface.
7. An unmanned cart-based item rejection device comprising a processor, a memory, and an unmanned cart-based item rejection program stored on the memory and executable on the processor, the unmanned cart-based item rejection program when executed by the processor implementing the unmanned cart-based item rejection method of any of claims 1-6.
8. An article rejecting system based on an unmanned delivery vehicle is characterized by comprising an article rejecting device based on the unmanned delivery vehicle, the unmanned delivery vehicle and a server, wherein,
the unmanned delivery vehicle is used for sending an article rejection request to the server;
the server is used for acquiring article information corresponding to an article rejection request when receiving the article rejection request sent by an unmanned delivery vehicle, starting video communication between the server and the unmanned delivery vehicle after confirming that the article is the article sent by the unmanned delivery vehicle according to the article information, detecting the bandwidth allowance of the video communication of the unmanned delivery vehicle, setting the state of the article as rejection agreement when receiving a confirmation instruction which is input according to the video communication and accords with the article rejection condition, sending a first shooting instruction to the unmanned delivery vehicle when the bandwidth allowance is smaller than a preset threshold value so that the unmanned delivery vehicle shoots a first video, receiving the first video fed back by the unmanned delivery vehicle, and when a video frame picture matched with a pre-stored picture does not exist in the first video, setting the status of the item as consent-rejection.
9. A storage medium storing an unmanned dispatch vehicle-based item rejection program that when executed by a processor implements an unmanned dispatch vehicle-based item rejection method as claimed in any one of claims 1-6.
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| CN104867235A (en) * | 2015-05-29 | 2015-08-26 | 兰海青 | Visual remote real-time monitoring intelligent self-service type goods returning machine and use method thereof |
| CN105681796A (en) * | 2016-01-07 | 2016-06-15 | 中国联合网络通信集团有限公司 | Code stream transmission method and device for video surveillance |
| CN105719403A (en) * | 2016-01-15 | 2016-06-29 | 成都我来啦网格信息技术有限公司 | Storage cabinet inspection system and storage cabinet inspection method |
| CN106408244A (en) * | 2016-11-24 | 2017-02-15 | 广州汇宏品牌管理有限公司 | Intelligent express item transferring device, express item delivering method and express item collecting method |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN104867235A (en) * | 2015-05-29 | 2015-08-26 | 兰海青 | Visual remote real-time monitoring intelligent self-service type goods returning machine and use method thereof |
| CN105681796A (en) * | 2016-01-07 | 2016-06-15 | 中国联合网络通信集团有限公司 | Code stream transmission method and device for video surveillance |
| CN105719403A (en) * | 2016-01-15 | 2016-06-29 | 成都我来啦网格信息技术有限公司 | Storage cabinet inspection system and storage cabinet inspection method |
| CN106408244A (en) * | 2016-11-24 | 2017-02-15 | 广州汇宏品牌管理有限公司 | Intelligent express item transferring device, express item delivering method and express item collecting method |
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