CN112405520B - Robot-based express delivery collecting method, device, equipment and storage medium - Google Patents
Robot-based express delivery collecting method, device, equipment and storage medium Download PDFInfo
- Publication number
- CN112405520B CN112405520B CN202011100419.6A CN202011100419A CN112405520B CN 112405520 B CN112405520 B CN 112405520B CN 202011100419 A CN202011100419 A CN 202011100419A CN 112405520 B CN112405520 B CN 112405520B
- Authority
- CN
- China
- Prior art keywords
- express
- express delivery
- foreground
- target
- delivery
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B25—HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
- B25J—MANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
- B25J9/00—Programme-controlled manipulators
- B25J9/16—Programme controls
- B25J9/1679—Programme controls characterised by the tasks executed
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B25—HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
- B25J—MANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
- B25J9/00—Programme-controlled manipulators
- B25J9/16—Programme controls
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B25—HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
- B25J—MANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
- B25J9/00—Programme-controlled manipulators
- B25J9/16—Programme controls
- B25J9/1679—Programme controls characterised by the tasks executed
- B25J9/1689—Teleoperation
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B25—HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
- B25J—MANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
- B25J9/00—Programme-controlled manipulators
- B25J9/16—Programme controls
- B25J9/1694—Programme controls characterised by use of sensors other than normal servo-feedback from position, speed or acceleration sensors, perception control, multi-sensor controlled systems, sensor fusion
- B25J9/1697—Vision controlled systems
Landscapes
- Engineering & Computer Science (AREA)
- Robotics (AREA)
- Mechanical Engineering (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses an express delivery collecting method, device, equipment and storage medium based on a robot, which are applied to the robot, wherein the express delivery collecting method based on the robot comprises the following steps: according to the method and the device, information of the target enterprise is obtained according to the order information, whether the target enterprise supports the foreground to receive the express delivery or not is determined according to the information of the target enterprise, if the target enterprise supports the foreground to receive the express delivery, the express delivery is transported to the foreground of the target enterprise according to a preset handover mode, and the express delivery is received instead.
Description
Technical Field
The invention relates to the field of artificial intelligence, in particular to an express delivery collecting method, device, equipment and storage medium based on a robot.
Background
With the development of artificial intelligence, robots are more and more widely applied, and at present, the robots bear a large amount of repeated and time-consuming work such as express sorting in the express industry. However, at present, in the delivery link, the express is still passively waiting for the express receiver to take the express, so that the waste of human resources is easily caused, the waiting time is long, the times are many, and the transportation efficiency of the express is low.
Disclosure of Invention
The invention mainly aims to provide an express delivery collecting method, device, equipment and storage medium based on a robot, and aims to solve the technical problem of low express delivery transportation efficiency caused by long time and many times for passively waiting for an express delivery receiver to take a piece in an express delivery link.
In order to achieve the above object, the present invention provides a robot-based express delivery collecting method, which is applied to a robot, and comprises:
acquiring information of a target enterprise according to the order information, and determining whether the target enterprise supports foreground express delivery collection or not according to the information of the target enterprise;
and if the target enterprise supports the foreground to collect the express, transporting the express to the foreground of the target enterprise according to a preset handover mode, and finishing the collection of the express.
Optionally, the obtaining information of a target enterprise according to the order information, and determining whether the target enterprise supports foreground delivery of the express delivery according to the information of the target enterprise includes:
according to order information of an express delivery collecting management platform, obtaining order information of express delivery of the express delivery, and inquiring whether the target enterprise corresponding to the order information of the express delivery is added to the express delivery collecting management platform or not;
if the target enterprise joins the express delivery collecting management platform, determining that the target enterprise supports a foreground to collect express delivery;
and if the target enterprise does not join the express delivery collecting management platform, determining whether the target enterprise supports foreground express delivery collecting or not in a preset interaction mode.
Optionally, if the target enterprise does not join the express delivery pickup management platform, determining whether the target enterprise supports foreground express delivery pickup or not through a preset interaction manner includes:
the express delivery is transported to a destination according to the order information of the express delivery, and image information of the destination is obtained through a preset camera;
determining the position of the foreground of the target enterprise and target personnel according to the image information, and determining a handover person from the target personnel;
and confirming whether the foreground of the target enterprise supports express delivery collection or not through a preset interaction mode and the handover person.
Optionally, the determining the position of the target enterprise foreground and the target person according to the image information, and determining a handover person from the target person includes:
performing feature extraction processing on the image information according to a preset training model to obtain the type of an object in the image so as to determine the position of the foreground of the target enterprise and determine target personnel in a preset range of the foreground of the target enterprise;
determining a target characteristic with enterprise markedness according to the type of the object;
matching the target characteristics with the characteristics of the target personnel to determine the staff of the enterprise;
determining that the staff of the target enterprise is a handover person meeting the conditions;
the preset training model is a target model obtained after iterative training is carried out on a preset basic model based on object type data with preset type labels.
Optionally, if the target enterprise supports the foreground to collect the express delivery, according to a preset handover mode, the express delivery is transported to the target enterprise foreground to complete the express delivery collection, including:
the express delivery is transported to the foreground of the target enterprise, and a handover person of the foreground of the target enterprise is determined according to image information obtained by a preset camera;
determining whether the express is marked according to the order information so as to determine a target handover mode;
and after finishing express delivery handover according to the target handover mode, providing express delivery details for the handover person to confirm, generating evidence-reserving information for collecting express delivery after the handover person finishes the details confirmation, and sending the evidence-reserving information to the order client so as to confirm that the foreground finishes express delivery collection.
Optionally, the determining whether the express delivery is marked according to the order information to determine a target delivery manner includes:
first sub handover method: if the express is not marked, the express is directly handed over to a hand-over person;
the second sub-handover method: if the express delivery is marked, determining that the hand-over person completes registration on the express delivery platform, or confirming the identity of the hand-over person through the order information and then carrying out hand-over;
optionally, the generating of the evidence-reserving information for collecting the express delivery and sending the evidence-reserving information to the order client to confirm that the front desk finishes the express delivery collection includes:
after the express is handed over to the hand-over person, image information of the express and image information of the hand-over person are obtained at a preset distance from the hand-over person;
merging the image information of the express delivery, the image information of the hand-over person and the express delivery information to obtain the evidence retaining information;
and sending the information of the left certificate to the order client to confirm that the front desk finishes express delivery collection.
In addition, to achieve the above object, the present invention provides a robot-based express delivery agent apparatus, including:
the information processing module is used for acquiring information of a target enterprise according to the order information and determining whether the target enterprise supports foreground express delivery collection or not according to the information of the target enterprise;
and if the target enterprise supports the foreground to receive the express, the express is transported to the foreground of the target enterprise according to a preset handover mode, and the express is received instead.
Optionally, the information processing module includes:
the information acquisition unit is used for acquiring order information of the express according to the order information of the express pickup management platform and inquiring whether the target enterprise corresponding to the order information of the express is added to the express pickup management platform or not;
the information query unit is used for determining that the target enterprise supports foreground express delivery collection if the target enterprise joins the express delivery collection management platform;
and the information interaction unit is used for determining whether the target enterprise supports foreground express delivery or not through a preset interaction mode if the target enterprise does not join the express delivery management platform.
Optionally, the information processing module further includes:
the scene image acquisition unit is used for transporting the express to a destination according to the order information of the express, and acquiring the image information of the destination through a preset camera;
the image processing unit is used for determining the position of the foreground of the target enterprise and target personnel according to the image information and determining a handover person from the target personnel;
and the first information interaction subunit is used for confirming whether the foreground of the target enterprise supports express delivery collection or not through a preset interaction mode and the handover person.
Optionally, the information processing module further includes:
the target detection unit is used for carrying out feature extraction processing on the image information according to a preset training model to obtain the type of an object in the image so as to determine the position of the foreground of the target enterprise and determine target personnel in a preset range of the foreground of the target enterprise;
the characteristic determining unit is used for determining target characteristics with enterprise marking according to the type of the object;
the characteristic matching unit is used for matching the target characteristics with the characteristics of the target personnel and determining the staff of the enterprise;
the first characteristic determining subunit is used for determining that the staff of the target enterprise is a handover person meeting the conditions;
optionally, the express delivery collecting module includes:
the second characteristic determining subunit is used for transporting the express to the foreground of the target enterprise and determining a handover person of the foreground of the target enterprise according to image information acquired by a preset camera;
the delivery mode determining unit is used for determining whether the express is marked according to the order information so as to determine a target delivery mode;
and the second information interaction subunit is used for providing express detail for the handing-over person to confirm after finishing express handing-over, generating evidence-reserving information for express delivery collection after the handing-over person finishes detail confirmation, and sending the evidence-reserving information to the order client so as to confirm that the front desk finishes express delivery collection.
Optionally, the express delivery collecting module further includes:
the first sub-hand-over mode determining sub-unit is used for directly handing over the express to a hand-over person if the express is not marked;
and the second sub-delivery mode determining subunit is used for determining that the delivery person completes registration on the express platform or performs delivery after the identity of the delivery person is confirmed through the order information if the express is marked.
Optionally, the express delivery collecting module further includes:
the express image acquisition unit is used for acquiring image information of the express and image information of the delivery person at a preset distance from the express after the robot delivers the express to the delivery person;
the information processing unit is used for combining the image information of the express delivery, the image information of the hand-over person and the express delivery information to obtain the left certificate information;
and the information sending unit is used for sending the leave certificate information to the order client so as to confirm that the front desk finishes express delivery collection.
In addition, to achieve the above object, the present invention further provides a robot-based express delivery collecting apparatus, which includes a memory, a processor, and a program stored in the memory for implementing the robot-based express delivery collecting method, where the processor is configured to execute the program for implementing the robot-based express delivery collecting method so as to implement the steps of the robot-based express delivery collecting method.
Further, to achieve the above object, the present invention also provides a storage medium having stored thereon a program for implementing a robot-based express delivery collecting method, the program being executed by a processor to implement the steps of the robot-based express delivery collecting method as described above.
The embodiment of the invention provides an express delivery collecting method, device, equipment and storage medium based on a robot, compared with the prior art that an express delivery link passively waits for an express receiving person to take a piece with long time and many times to cause low express delivery transportation efficiency, the method obtains target enterprise information through the robot according to order information of an express delivery collecting management platform, determines whether a target enterprise supports foreground collecting express delivery or not according to the target enterprise information, and transports the express to the foreground of the target enterprise according to a preset handover mode if the target enterprise supports the foreground collecting express, so as to finish express delivery collecting. In the express delivery link of the application, the robot replaces manual delivery, acquires enterprise information directly according to order information, quickly determines whether the enterprise supports the foreground to receive the express delivery or not, if the enterprise supports the foreground to receive the express delivery, the express is transported to the front desk of the enterprise according to a preset handover mode, in the application, since the passive waiting of the express receiver for taking the express is changed into the active delivery, namely, after the front desk finishes express delivery and collection, the express receiver finishes the delivery, thereby improving the delivery efficiency, and because the time for passively waiting for the express receiver to take the express is reduced, the human resources are saved in the express delivery link, and then the delivery efficiency of the express is improved, and the technical problem that the express delivery transportation efficiency is lower due to long time consumption and multiple execution times for passively waiting for the express receiver to take the express at present is solved.
Drawings
FIG. 1 is a schematic diagram of a terminal \ device structure of a hardware operating environment according to an embodiment of the present invention;
fig. 2 is a schematic flow chart of a first embodiment of the robot-based express delivery collecting method according to the present invention;
fig. 3 is a schematic flow chart illustrating a process of determining whether the target enterprise supports foreground express delivery collection by the robot in the robot-based express delivery collection method according to the present invention;
FIG. 4 is a schematic flow chart of a robot completing express delivery collection in the robot-based express delivery collection method of the present invention;
fig. 5 is a functional module schematic diagram of the robot-based express delivery collecting device of 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.
In the following description, suffixes such as "module", "component", or "unit" used to denote elements are used only for facilitating the explanation of the present invention, and have no specific meaning in itself. Thus, "module", "component" or "unit" may be used mixedly.
The axis motion configuration terminal (also called terminal, equipment or terminal equipment) in the embodiment of the invention can be a PC (personal computer), and can also be a mobile terminal equipment with a display function, such as a smart phone, a tablet computer, a portable computer and the like.
As shown in fig. 1, the terminal may include: a processor 1001, such as a CPU, a network interface 1004, a user interface 1003, a memory 1005, a communication bus 1002. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface). The memory 1005 may be a high-speed RAM memory or a non-volatile memory (e.g., a magnetic disk memory). The memory 1005 may alternatively be a storage device separate from the processor 1001.
Optionally, the terminal may further include a camera, a Radio Frequency (RF) circuit, a sensor, an audio circuit, a WiFi module, and the like. Such as light sensors, motion sensors, and other sensors. Specifically, the light sensor may include an ambient light sensor that may adjust the brightness of the display screen according to the brightness of ambient light, and a proximity sensor that may turn off the display screen and/or the backlight when the mobile terminal is moved to the ear. As one of the motion sensors, the gravity acceleration sensor can detect the magnitude of acceleration in each direction (generally, three axes), detect the magnitude and direction of gravity when the mobile terminal is stationary, and can be used for applications (such as horizontal and vertical screen switching, related games, magnetometer attitude calibration), vibration recognition related functions (such as pedometer and tapping) and the like for recognizing the attitude of the mobile terminal; of course, the mobile terminal may also be configured with other sensors such as a gyroscope, a barometer, a hygrometer, a thermometer, and an infrared sensor, which are not described herein again.
Those skilled in the art will appreciate that the terminal structure shown in fig. 1 is not intended to be limiting and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.
As shown in fig. 1, a memory 1005, which is a kind of computer storage medium, may include therein programs of an operating system, a network communication module, a user interface module, and a robot-based express delivery method.
In the terminal shown in fig. 1, the network interface 1004 is mainly used for connecting to a backend server and performing data communication with the backend server; the user interface 1003 is mainly used for connecting a client (user side) and performing data communication with the client; and the processor 1001 may be configured to call a program of the robot-based express delivery collecting method stored in the memory 1005, which when executed by the processor, implements the operations in the robot-based express delivery collecting method provided in the following embodiments.
Based on the hardware structure of the equipment, the embodiment of the express delivery collecting method based on the robot is provided.
Referring to fig. 2, a first embodiment of the robot-based express delivery method according to the present invention provides an express delivery method including the following steps S10 to S20:
step S10, acquiring information of a target enterprise according to order information, and determining whether the target enterprise supports foreground express delivery collection according to the information of the target enterprise;
and S20, if the target enterprise supports the foreground to collect the express, transporting the express to the foreground of the target enterprise according to a preset handover mode, and finishing express collection.
The method comprises the following specific steps:
step S10, acquiring information of a target enterprise according to order information, and determining whether the target enterprise supports foreground express delivery collection according to the information of the target enterprise;
overall, the robot-based express delivery collecting method in the present embodiment is applied to a robot-based express delivery collecting apparatus applied to a robot. In this embodiment, the robot-based express delivery agent method may be applied to a scenario of delivering an express delivery in a foreground of an enterprise, and specifically, information of a target enterprise is obtained according to order information, where the order information may be order information created by an express recipient on the express delivery agent management platform, and whether the target enterprise supports foreground delivery of the express delivery is determined according to the information of the target enterprise, that is, in this embodiment, an express delivery agent management platform (which may belong to a third party or a delivery company) is provided, and the express delivery agent management platform may be used for the express recipient to create an express delivery agent order, where the express delivery agent order is associated with an express delivery order, and the robot accesses the express delivery agent management platform through a network to obtain order information of the express delivery agent management platform, and may also obtain order information of the express delivery agent management platform through a control command of a server, the robot acquires express order information according to the order information of the express pickup management platform, the express order information comprises address information of the target enterprise and/or a name of the target enterprise, information related to the address or the name of the target enterprise is acquired from the express order information, so that the target enterprise corresponding to the order of the express pickup management platform is determined, whether the target enterprise is added to the express pickup management platform is inquired, whether the target enterprise supports foreground pickup express is rapidly determined, if the enterprise supports foreground pickup, the robot replaces manual delivery, directly transports the express to a foreground of the enterprise for pickup, and if the enterprise does not support foreground pickup, the robot waits for an order client, namely an express recipient to pick up.
The obtaining of the information of the target enterprise according to the order information and the determining of whether the target enterprise supports the foreground delivery of the express according to the information of the target enterprise include the following steps S11-S13:
step S11, according to the order information, obtaining order information of express, and inquiring whether the target enterprise corresponding to the order information of express already joins the express collecting management platform;
the robot acquires order information of the express according to the order information, matches the order information of the express with enterprise information to determine a target enterprise, wherein the enterprise information comprises address information of the enterprise and the name of the enterprise, the enterprise information can be preset or can be information related to the address and the name of the enterprise, the information is contained in public information of the enterprise acquired by the robot through a network, and whether the target enterprise supports foreground delivery of the express is quickly determined by inquiring whether the target enterprise is added into the express delivery collection management platform, therefore, the express collection place is not limited to the enterprise foreground, after the enterprise is added into the express collection management platform, a certain place near a company can be designated as an express collection address, and a specific mark is set at the express collection place for the robot to identify, the specific mark can be a warning board written with 'xxx enterprise express delivery collecting points' and a signal lamp flashing according to preset frequency, can also be a radar emitting signals according to preset frequency, and can meet special requirements of different enterprises on express delivery collecting.
Step S12, if the target enterprise has joined the express delivery collecting management platform, determining that the target enterprise supports foreground collecting express delivery;
if the target enterprise has joined the express delivery collecting management platform, the target enterprise is considered to support a foreground to collect the express delivery, and the determination that the target enterprise has joined the express delivery collecting management platform at least comprises the following modes:
the first method is as follows: the staff of the target enterprise performs information registration on the express delivery collecting management platform, wherein the staff includes but is not limited to foreground staff of the target enterprise;
the second method comprises the following steps: the target enterprise staff issues a relevant certificate of the target enterprise, the certificate can be a specification or an application book with a official seal of the target enterprise, or a signature confirmation or the like issued by the target enterprise, the robot obtains information of the target enterprise by scanning the certificate, after scanning, the robot automatically generates a preset instruction, the robot can store the information of the target enterprise according to the preset instruction, and after information storage is completed, the robot is regarded that the target enterprise is added into the express delivery collection management platform;
the third method comprises the following steps: the target enterprise staff issues the certification file of the target enterprise and makes an agreement with staff of the express delivery pickup management platform, the target enterprise supports the foreground pickup express delivery explicitly, the staff of the express delivery pickup management platform issues a preset instruction for the target enterprise to support the foreground pickup express delivery to the robot, if the preset instruction is' cooperative with the xxx enterprise and specifies that the recipient address is.
Step S13, if the target enterprise does not join the express delivery collecting management platform, determining whether the target enterprise supports foreground express delivery collection or not through a preset interaction mode.
If the target enterprise does not join the express delivery pickup management platform, the robot needs to arrive at the foreground of the target enterprise, after confirming the transfer person, whether the target enterprise supports the foreground to pickup the express delivery is determined through a preset interaction mode, if in the interaction process, the foreground staff of the target enterprise registers on the express delivery pickup management platform, the robot can determine that the target enterprise supports the foreground to pickup the express delivery, and the determining whether the target enterprise supports the foreground to pickup the express delivery through the preset interaction mode at least comprises the following modes:
the first method is as follows: confirming through a voice interaction mode, after the robot reaches the foreground of the target enterprise, drawing the attention of the handover person through voice such as 'hello' or 'morning hello', and then confirming whether the express delivery is supported or not to the foreground staff through voice;
the second method comprises the following steps: confirming through an operation interface interaction mode, after the robot reaches a foreground of the target enterprise, providing an operation interface for confirming whether to support express delivery collection or not for foreground staff, and determining whether the foreground staff can click 'yes' or 'no' through the operation interface;
the third method comprises the following steps: the confirmation is carried out in a mode of combining voice and an operation interface, after the robot reaches the foreground of the target enterprise, the robot firstly draws the attention of the handing-over person through voice such as 'hello' or 'morning hello', then confirms that the express delivery can be received instead through voice to the foreground staff, simultaneously provides the operation interface for confirming whether the express delivery is received instead, and reminds the staff to click 'yes' or 'no' on the operation interface for confirmation through voice.
If the transfer person confirms that the express can be collected instead, the express is transferred according to a preset transfer mode, if the transfer person refuses to collect the express, the robot waits for the order client to collect the express, namely, the express receiving person, and after acquiring a signal that the transfer person refuses to collect the express, the robot sends information of express collection failure to the order client through the express collection management platform and reminds the order client to collect the express in time.
And S20, if the target enterprise supports the foreground to collect the express, transporting the express to the foreground of the target enterprise according to a preset handover mode, and finishing express collection.
If the target enterprise supports the foreground to collect the express, the robot transports the express to the foreground of the target enterprise according to a preset transfer mode to finish the express collection, if the target enterprise is added into the express collection management platform, the target enterprise can specify the foreground position or address of the express delivery to be received, the preset delivery mode refers to the step when the robot delivers the express delivery to the delivery person, when the express delivery recipient is in the condition of preventing important articles from being lost or having special requirements, the target enterprise can establish the order for receiving at the express delivery receiving management platform, the express is marked, the robot identifies the marked express as an important express, the identity of a hand-over person needs to be confirmed during hand-over, handing-over according to presetting first sub-handing-over mode, if the express delivery is not marked, the robot discerns the express delivery as ordinary express delivery, hands-over according to presetting second sub-handing-over mode.
If the target enterprise supports the foreground to collect the express, the express is transported to the foreground of the target enterprise according to a preset handover mode to finish the express collection, and the method comprises the following steps of S21-S23:
s21, transporting the express to the foreground of the target enterprise, and determining a handover person of the foreground of the target enterprise according to image information acquired by a preset camera;
the robot transports the express to the foreground of the target enterprise, starts a preset camera, acquires image information near the foreground of the target enterprise, and determines a handover person of the foreground of the target enterprise according to the image information.
Step S22, determining whether express is marked according to the order information to determine a target delivery mode;
according to the order information of the express delivery collecting management platform, whether the express delivery is marked or not can be determined, and according to whether the express delivery is marked or not, a target delivery mode of the delivery person is determined.
And step S23, after express delivery handover is completed according to a preset handover mode, providing express delivery details for a handover person to confirm, generating evidence-reserving information for express delivery pickup after the handover person completes the details confirmation, and sending the evidence-reserving information to the order client to confirm that the foreground finishes express delivery pickup.
After accomplishing the handing-over of express delivery pickup, the robot is handed the express delivery to promptly behind the handing-over people, need provide the express delivery detail of handing-over and give the handing-over people confirms to utilize and predetermine the camera and acquire the image information of express delivery, to whether the handing-over people confirms can acquire the image of handing-over people, if the handing-over people agrees, acquire the image of handing-over people, merge with the image of the express delivery of acquireing and the order information of express delivery, as the information of leaving a certificate, send for the express delivery addressee, in order to confirm that the front desk has accomplished the express delivery pickup.
In this embodiment, the robot replaces current artifical link of delivering, whether support the proscenium to replace the express delivery according to express delivery order information short-term determination corresponding enterprise, if the enterprise supports proscenium to replace the express delivery, transport the express delivery to the proscenium of enterprise, replace by the proscenium of enterprise, the proscenium is accomplished to replace and is regarded as the express delivery person and accomplish the pickup promptly, in the link of delivering of express delivery transportation, not only reduced the human consumption, more reduced the time of waiting for the express delivery recipient to pick up, thereby the holistic transportation time of express delivery has been reduced, the transport efficiency of express delivery has been improved.
Referring to fig. 3, another embodiment is provided in the express delivery collecting method based on a robot according to the present invention, and based on the embodiment shown in fig. 2, if the target enterprise does not join the express delivery collecting management platform, determining whether the target enterprise supports foreground collection of express delivery through a preset interaction manner includes the following steps a 1-A3:
a1, transporting express to a destination according to the order information of the express, and acquiring image information of the destination through a preset camera;
when the target enterprise does not join the express delivery agent management platform, the robot acquires express delivery address information according to the order information of the express delivery, transports the express delivery to a destination according to the express delivery address information, and starts a preset camera when the target enterprise reaches the vicinity of the destination to acquire image information near the destination.
Step A2, determining the position of the foreground of the target enterprise and target personnel according to the image information, and determining a handover person from the target personnel;
the image information is subjected to feature extraction processing by using a preset training model, the position of a foreground of the target enterprise and target personnel are determined, the robot acquires the image information near a destination and performs feature extraction on the image information by using the preset training model, the type of an object in the image can be identified, a space range is determined through an identified door or an entrance/exit, the position of the foreground is determined by determining the position of a reception table in the space range, the people near the reception table are used as the target personnel, and the handover people meeting the conditions are determined from the target personnel.
The determining the position of the target enterprise foreground and the target personnel according to the image information and determining the handover person from the target personnel comprises the following steps B1-B3:
step B1, performing feature extraction processing on the image information according to a preset training model to obtain the type of an object in the image so as to determine the position of the target enterprise foreground and determine target personnel in a preset range of the target enterprise foreground;
the preset training model is a target model obtained after iterative training is carried out on a preset basic model based on object type data with preset type labels, a preferred model of the preset training model is a yolov4 (without corresponding Chinese name) target detection model based on deep learning, firstly, a sample database is established according to the object type data with the preset type labels, the yolov4 model is used for training sample data until the recognition precision and the response speed of the model output reach preset completion conditions, based on the training result of the sample data, after the robot obtains image information near a destination, the yolov4 target detection model can be used for rapidly and accurately extracting and recognizing the characteristics of objects in the image information to obtain the types of the objects, the space range of a foreground of an enterprise is determined through a door or an entrance/exit, and the position of the foreground is determined by determining the position of a reception table in the space range, and determining a person to be handed over from the target person, with the person near the reception table as the target person.
Step B2, determining target characteristics with enterprise logo according to the type of the object;
according to the recognition result of the image information, the target features with enterprise identification are determined, for example, enterprise foreground generally has enterprise identification, and enterprise identification has distinctiveness, and enterprise identification can be determined from foreground identification, furthermore, if a preset number of people in the target people wear the same clothing or wear the same employee card, the clothing or employee card can be used as the target features with enterprise identification.
Step B3, matching the target characteristics with the characteristics of the target personnel to determine the staff of the enterprise;
after the target features are determined, the target features are matched with the features of the target personnel, namely, the enterprise mark of the foreground is matched with the mark on the employee card worn by the target personnel, which of the target personnel are the employees of the target enterprise can be determined, further, the robot can determine the employees of the foreground from the employees of the target enterprise in a preset interaction mode, if the employee card is not worn, the robot can be matched with the mark on the clothing of the target personnel, if the target features cannot be extracted, or the above modes can not identify the employees of the target enterprise from the target personnel, the target personnel in the reception table can be used as an alternative handover person, and whether the employees are the workers of the target enterprise can be confirmed to the alternative handover person in a preset interaction mode, and further confirming the identity of the alternative handover person through information registration on the express delivery collection management platform.
And step A3, confirming whether the foreground of the target enterprise supports express delivery collection or not through a preset interaction mode and the cross-connecting person.
After the delivery person is determined, whether the foreground of the target enterprise can take the delivery instead is confirmed to the delivery person through a preset interaction mode, for example, an operation interface is shown to the delivery person through the interaction mode of the operation interface, whether the delivery person can take the delivery instead is inquired, and the delivery person can select to click 'yes' to represent that the delivery can be taken instead or select to click 'no' to represent that the delivery cannot be taken instead through the operation interface.
In the embodiment, the robot transports the express to the destination according to the order information of the express, acquires the image information of the destination through a preset camera, determines the position of the foreground of the target enterprise and the target personnel according to the image information, determines the cross-connect person from the target personnel, prevents the express from being cheated by confirming the identity of the cross-connect person, ensures the safety and the reliability of express pickup, confirms whether the target enterprise supports the foreground pickup express or not through a preset interaction mode to the cross-connect person, namely, replaces the existing manual delivery link with the robot, quickly determines whether the corresponding enterprise supports the foreground pickup according to the order information of the express, transports the express to the foreground of the enterprise to be picked up by the enterprise if the enterprise supports the foreground pickup, and finishes the pickup, namely, considers that the express pickup is finished, therefore, whether the target enterprise supports the foreground to take the express or not is automatically determined by the robot, and invalid delivery of the express is reduced, so that the delivery link of express transportation is realized, labor consumption is reduced, the time for waiting for an express receiver to take the express is shortened, the integral transportation time of the express is shortened, and the transportation efficiency of the express is improved.
The express delivery collecting method based on the robot further provides another embodiment, and the determining whether the express delivery is marked according to the order information to determine the target delivery mode comprises the following steps of C1-C2:
step C1, first sub handover method: if the express is not marked, the express is directly handed over to a hand-over person;
if the express is not marked, the robot identifies the express as a common express, after the target enterprise supports the foreground to collect the express, the robot directly delivers the express to the delivery person after confirming the delivery person, and the identity of the delivery person does not need to be further confirmed, so that the delivery person is not forcibly required to be registered on the express collection management platform.
Step C2, second sub handover method: if the express is marked, the express delivery person is confirmed to finish registration on the express platform, or the identity of the express delivery person is confirmed through the order information and then the express delivery person is handed over.
If the express is marked, the robot identifies the express as an important express, after the target enterprise supports the foreground to receive the express, the hand-over person needs to complete registration on the express delivery collecting management platform, the robot further confirms the identity of the hand-over person according to the registration information, or the robot can directly confirm the identity of the delivery person according to the order information of the express delivery collection management platform and then deliver the express to the delivery person, the identity of the transfer person is confirmed according to the order information of the express delivery collecting management platform, the order client may include the publicable information such as the name or employee id number of the hand-over person in the remark information when creating the collection order, and when the robot is based on the employee id or other files with the name or employee id number presented by the hand-over person, the robot can confirm the identity of the hand-over person through the files and the remark information.
The step of generating leave information for collecting the express delivery and sending the leave information to the order client to confirm that the front desk finishes the express delivery collection includes the following steps D1-D3:
step D1, after the express is handed over to the hand-over person, image information of the express and image information of the hand-over person are obtained at a preset distance from the express;
the robot hands over the express delivery for behind the handing-over people, at the distance department of predetermineeing apart from the express delivery, utilize to predetermine the camera and acquire the image information of express delivery, if the distance is too near, the robot acquires object in the image information probably only the express delivery, consequently need acquire the image of express delivery in express delivery storage location certain distance department, when the express delivery person of being convenient for gets to the express delivery place of collecting, fixes a position the express delivery, accomplishes the image information's of express delivery acquisition back, utilizes the interactive mode of predetermineeing, to whether the handing-over people confirms can acquire handing-over people's image information, if the handing-over people agrees, acquires handing-over people's image information.
Step D2, merging the image information of the express delivery, the image information of the hand-over person and the express delivery information to obtain the leave-certificate information;
the evidence information refers to evidence information that the express is collected instead, and can be used as evidence that the express is collected instead by the transfer person, the express receiver can use the evidence information to pick up the express, if the express is lost, the evidence information can be used as evidence for retrieving the express, the obtained image information of the express, the legally obtained image information of the transfer person and the order information of the express are combined to generate the evidence information, and the legally obtained evidence already obtains the agreement of the transfer person.
And D3, sending the leave-certificate information to the order client to confirm that the front desk finishes express delivery collection.
And sending the evidence retaining information to the order client, confirming that the express delivery collection is completed by the order client when confirming that the evidence retaining information is received, and determining the position of the express delivery and receiving the express delivery by the order client according to the evidence retaining information.
In this embodiment, the robot selects different delivery modes according to whether the express is marked as an important express on the express delivery collecting management platform, acquires image information of the express through a preset camera after the express is delivered, legally acquires the image information of a delivery person, combines the image information with order information of the express to generate the evidence retaining information, and sends the evidence retaining information to the order client, so that the order client can conveniently take the express, meanwhile, the possibility that the express is lost or is impersonated and picked up is reduced, and the risk of an express delivery link is reduced.
Referring to fig. 5, a first embodiment of the present invention provides a robot-based express delivery agent apparatus including:
the information processing module 10 is used for the robot to obtain information of a target enterprise according to the order information and determine whether the target enterprise supports the foreground express delivery collection according to the information of the target enterprise;
and the express delivery collecting module 20 is used for transporting the express delivery to the foreground of the target enterprise according to a preset handover mode if the target enterprise supports the foreground to collect the express delivery, and finishing the express delivery collection.
Optionally, the information processing module 10 includes:
the information acquisition unit is used for acquiring order information of the express according to the order information of the express pickup management platform and inquiring whether the target enterprise corresponding to the order information of the express is added to the express pickup management platform or not;
the information query unit is used for determining that the target enterprise supports foreground express delivery collection if the target enterprise joins the express delivery collection management platform;
and the information interaction unit is used for determining whether the target enterprise supports foreground express delivery or not through a preset interaction mode if the target enterprise does not join the express delivery management platform.
Optionally, the information processing module 10 further includes:
the scene image acquisition unit is used for transporting the express to a destination according to the order information of the express, and acquiring the image information of the destination through a preset camera;
the image processing unit is used for determining the position of the foreground of the target enterprise and target personnel according to the image information and determining a handover person from the target personnel;
and the first information interaction subunit is used for confirming whether the foreground of the target enterprise supports express delivery collection or not through a preset interaction mode and the handover person.
Optionally, the information processing module 10 further includes:
the target detection unit is used for carrying out feature extraction processing on the image information according to a preset training model to obtain the type of an object in the image so as to determine the position of the foreground of the target enterprise and determine target personnel in a preset range of the foreground of the target enterprise;
the characteristic determining unit is used for determining target characteristics with enterprise marking according to the type of the object;
the characteristic matching unit is used for matching the target characteristics with the characteristics of the target personnel and determining the staff of the enterprise;
the first characteristic determining subunit is used for determining that the staff of the target enterprise is a handover person meeting the conditions;
optionally, the express delivery collecting module 20 includes:
the second characteristic determining subunit is used for transporting the express to the foreground of the target enterprise and determining a handover person of the foreground of the target enterprise according to image information acquired by a preset camera;
the delivery mode determining unit is used for determining whether the express is marked according to the order information so as to determine a target delivery mode;
and the second information interaction subunit is used for providing express detail for the handing-over person to confirm after finishing express handing-over, generating evidence-reserving information for express delivery collection after the handing-over person finishes detail confirmation, and sending the evidence-reserving information to the order client so as to confirm that the front desk finishes express delivery collection.
Optionally, the express delivery collecting module 20 further includes:
a first sub-handover method determining unit configured to: if the express is not marked, the express is directly handed over to a hand-over person;
a second sub handover method determining unit configured to: and if the express delivery is marked, determining that the hand-over person completes registration on the express delivery platform, or confirming the identity of the hand-over person through the order information and then carrying out hand-over.
Optionally, the express delivery collecting module 20 further includes:
the express image acquisition unit is used for acquiring image information of the express and image information of the delivery person at a preset distance from the express after the robot delivers the express to the delivery person;
the information processing unit is used for combining the image information of the express delivery, the image information of the hand-over person and the express delivery information to obtain the left certificate information;
and the information sending unit is used for sending the leave certificate information to the order client so as to confirm that the front desk finishes express delivery collection.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
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 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. A robot-based express delivery collecting method is characterized by comprising the following steps:
acquiring information of a target enterprise according to the order information;
inquiring whether the corresponding target enterprise is added into an express delivery collecting management platform or not according to the order information;
if the target enterprise joins the express delivery collecting management platform, determining that the target enterprise supports a foreground to collect express delivery;
if the target enterprise does not join the express delivery pickup management platform, determining whether the target enterprise supports foreground pickup express delivery or not through a preset interaction mode with foreground workers, wherein the preset interaction mode comprises the steps of determining the position of the foreground of the target enterprise and the target personnel with the foreground workers, determining a handover person from the target personnel, and determining whether the target enterprise supports the foreground pickup express delivery or not with the handover person;
if the target enterprise supports the foreground to collect the express, the express is transported to the foreground of the target enterprise according to a preset handover mode for handover between the target enterprise and a handover person to finish the express collection, the preset handover mode comprises determining the handover person of the foreground of the target enterprise and determining a target handover mode, after the express handover is finished according to the target handover mode, express detail is provided for the handover person to confirm, after the handover person finishes the detail confirmation, evidence retaining information of the collected express is generated and sent to an order client to confirm the foreground to finish the express collection.
2. The robot-based express delivery collecting method according to claim 1, wherein the step of determining whether the target enterprise supports foreground delivery collection by a preset interaction method with a foreground worker if the target enterprise does not join the express delivery collecting management platform comprises:
the express delivery is transported to a destination according to the order information of the express delivery, and image information of the destination is obtained through a preset camera;
determining the position of the foreground of the target enterprise and target personnel according to the image information, and determining a handover person from the target personnel;
and confirming whether the foreground of the target enterprise supports the collection of express delivery or not by the handover person through a preset interaction mode with the foreground staff.
3. The method for robot-based courier pickup according to claim 2, wherein the step of determining the location of the target business foreground and the target person and determining the handover person from the target person based on the image information comprises:
performing feature extraction processing on the image information according to a preset training model to obtain the type of an object in the image so as to determine the position of the foreground of the target enterprise and determine target personnel in a preset range of the foreground of the target enterprise;
determining a target characteristic with enterprise markedness according to the type of the object;
matching the target characteristics with the characteristics of the target personnel to determine the staff of the enterprise;
determining that the staff of the target enterprise is a handover person meeting the conditions;
the preset training model is a target model obtained after iterative training is carried out on a preset basic model based on object type data with preset type labels.
4. The robot-based express delivery collecting method according to claim 1, wherein the step of transporting the express delivery to the foreground of the target enterprise in a preset delivery manner for delivering the express delivery to the delivery person to complete the express delivery collection if the target enterprise supports the foreground to collect the express delivery comprises:
the express delivery is transported to the foreground of the target enterprise, and a handover person of the foreground of the target enterprise is determined according to image information obtained by a preset camera;
determining whether the express is marked according to the order information so as to determine a target handover mode;
and after finishing express delivery handover according to the target handover mode, providing express delivery details for the handover person to confirm, generating evidence-reserving information for collecting express delivery after the handover person finishes the details confirmation, and sending the evidence-reserving information to an order client to confirm that the foreground finishes express delivery collection.
5. The robot-based courier collecting method of claim 4, wherein the step of determining whether a courier is marked according to the order information to determine a target delivery method comprises:
first sub handover method: if the express is not marked, the express is directly handed over to a hand-over person;
the second sub-handover method: and if the express is marked, determining that the hand-over person completes registration on the express platform, or handing over the express to the hand-over person after confirming the identity of the hand-over person through the order information.
6. The robot-based express delivery agent method of claim 4, wherein the step of generating and sending the evidence information of the agent delivery to the order customer to confirm that the front desk completes the express delivery agent comprises:
after the express is handed over to the hand-over person, image information of the express and image information of the hand-over person are obtained at a preset distance from the hand-over person;
merging the image information of the express delivery, the image information of the hand-over person and the express delivery information to obtain the evidence retaining information;
and sending the information of the left certificate to the order client to confirm that the front desk finishes express delivery collection.
7. The utility model provides a device is received instead in express delivery based on robot which characterized in that, device is received instead in express delivery based on robot includes:
the information processing module is used for acquiring the information of the target enterprise according to the order information; inquiring whether the corresponding target enterprise is added into an express delivery collecting management platform or not according to the order information; if the target enterprise joins the express delivery collecting management platform, determining that the target enterprise supports a foreground to collect express delivery; if the target enterprise does not join the express delivery pickup management platform, determining whether the target enterprise supports foreground pickup express delivery or not through a preset interaction mode with foreground workers, wherein the preset interaction mode comprises the steps of determining the position of the foreground of the target enterprise and the target personnel with the foreground workers, determining a handover person from the target personnel, and determining whether the target enterprise supports the foreground pickup express delivery or not with the handover person;
the express delivery collecting module is used for transporting express delivery to the target enterprise foreground according to a preset delivery mode for delivering the express delivery to the target enterprise foreground to finish express delivery collecting if the target enterprise supports the foreground to collect the express delivery, the preset delivery mode comprises confirming a delivery person of the target enterprise foreground, confirming a target delivery mode, providing express delivery details for the delivery person to confirm after the target delivery mode finishes express delivery collecting, generating evidence retaining information for collecting the express delivery after the delivery person finishes the details confirmation, and sending the evidence retaining information to order customers to confirm the foreground to finish express delivery collecting.
8. The utility model provides an equipment is collected in express delivery based on robot which characterized in that, equipment is collected in express delivery based on robot includes: a memory, a processor and a program stored on the memory for implementing the robot-based courier delivery pick-up method, the processor for executing the program for implementing the robot-based courier delivery pick-up method to implement the steps of the robot-based courier delivery pick-up method according to any one of claims 1 to 6.
9. A storage medium having stored thereon a program for implementing a robot-based courier delivery method, the program being executed by a processor to implement the steps of the robot-based courier delivery method according to any one of claims 1 to 6.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011100419.6A CN112405520B (en) | 2020-10-14 | 2020-10-14 | Robot-based express delivery collecting method, device, equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011100419.6A CN112405520B (en) | 2020-10-14 | 2020-10-14 | Robot-based express delivery collecting method, device, equipment and storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112405520A CN112405520A (en) | 2021-02-26 |
| CN112405520B true CN112405520B (en) | 2022-03-29 |
Family
ID=74854443
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011100419.6A Active CN112405520B (en) | 2020-10-14 | 2020-10-14 | Robot-based express delivery collecting method, device, equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112405520B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113449717B (en) * | 2021-05-27 | 2023-07-11 | 众安在线财产保险股份有限公司 | Invoice picture processing method, insurance claim settlement method, apparatus, equipment and medium |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105252535A (en) * | 2015-10-29 | 2016-01-20 | 李伟 | Logistics robot distribution system |
| CN105787854A (en) * | 2016-03-18 | 2016-07-20 | 王宝东 | Express receiving/dispatching method |
| CN106200677A (en) * | 2016-08-31 | 2016-12-07 | 中南大学 | A kind of express delivery delivery system based on unmanned plane and method |
| CN206788930U (en) * | 2017-06-20 | 2017-12-22 | 陈令凯 | System is signed in a kind of express delivery |
| CN108694543A (en) * | 2018-05-14 | 2018-10-23 | 星络科技有限公司 | Community sends express delivery method with charge free automatically and community sends express system with charge free automatically |
| KR20200097474A (en) * | 2019-02-08 | 2020-08-19 | 한양대학교 에리카산학협력단 | Unmanned delivery robot management system, and method thereof |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9244147B1 (en) * | 2014-10-22 | 2016-01-26 | Google Inc. | Automated package delivery to a delivery receptacle |
| EP3330908A1 (en) * | 2016-12-02 | 2018-06-06 | Starship Technologies OÜ | System and method for securely delivering packages to different delivery recipients with a single vehicle |
-
2020
- 2020-10-14 CN CN202011100419.6A patent/CN112405520B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105252535A (en) * | 2015-10-29 | 2016-01-20 | 李伟 | Logistics robot distribution system |
| CN105787854A (en) * | 2016-03-18 | 2016-07-20 | 王宝东 | Express receiving/dispatching method |
| CN106200677A (en) * | 2016-08-31 | 2016-12-07 | 中南大学 | A kind of express delivery delivery system based on unmanned plane and method |
| CN206788930U (en) * | 2017-06-20 | 2017-12-22 | 陈令凯 | System is signed in a kind of express delivery |
| CN108694543A (en) * | 2018-05-14 | 2018-10-23 | 星络科技有限公司 | Community sends express delivery method with charge free automatically and community sends express system with charge free automatically |
| KR20200097474A (en) * | 2019-02-08 | 2020-08-19 | 한양대학교 에리카산학협력단 | Unmanned delivery robot management system, and method thereof |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112405520A (en) | 2021-02-26 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| TWI658428B (en) | Express delivery system and method | |
| KR101662048B1 (en) | Parcel service method and system | |
| CN109905545B (en) | Message processing method, terminal and computer readable storage medium | |
| CN109690479B (en) | Method and device for associating notification message and mobile terminal | |
| CN111476515A (en) | Takeout distribution method, takeout distribution device, server, terminal and storage medium | |
| US20160350708A1 (en) | System and method for inventory management | |
| CN111906780B (en) | Article distribution method, robot and medium | |
| CN108418747B (en) | Information sending method, device, equipment and storage medium based on instant messaging | |
| CN106600181A (en) | Product warehousing control method and device based on code scanning terminal | |
| CN112405520B (en) | Robot-based express delivery collecting method, device, equipment and storage medium | |
| CN111986363A (en) | Intelligent express post station, method and computer readable storage medium | |
| CN106251105A (en) | A kind of return of goods system and method | |
| CN111753608A (en) | Information processing method and device, electronic device and storage medium | |
| JP2001282825A (en) | Method and server for information retrieval and portable remote terminal | |
| CN110446082B (en) | Advertisement pushing method, information processing method and related product | |
| CN106713617B (en) | Information display method and device | |
| KR20200054790A (en) | Method for supporting delivery work and apparatus therefor | |
| CN111222001A (en) | Method for marking image, mobile terminal and storage medium | |
| CN105468954A (en) | Intelligent terminal retrieving method and device | |
| CN107734477B (en) | Call forwarding method and mobile terminal | |
| WO2018012439A1 (en) | Lost item search device, lost item search system, lost item search method, program, and missing person search device | |
| CN112862397A (en) | Information interaction method and device, storage medium and electronic equipment | |
| EP3582175A1 (en) | System and method allowing registered delivery of a physical item at a destination address | |
| CN113256240B (en) | Message processing method and device and server | |
| TWM572451U (en) | Intelligent guidance system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |