CN113963401A - Method, device and medium for delivering express by robot - Google Patents
Method, device and medium for delivering express by robot Download PDFInfo
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- CN113963401A CN113963401A CN202111119889.1A CN202111119889A CN113963401A CN 113963401 A CN113963401 A CN 113963401A CN 202111119889 A CN202111119889 A CN 202111119889A CN 113963401 A CN113963401 A CN 113963401A
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C3/00—Sorting according to destination
- B07C3/18—Devices or arrangements for indicating destination, e.g. by code marks
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K7/00—Methods or arrangements for sensing record carriers, e.g. for reading patterns
- G06K7/10—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation
- G06K7/10544—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation by scanning of the records by radiation in the optical part of the electromagnetic spectrum
- G06K7/10821—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation by scanning of the records by radiation in the optical part of the electromagnetic spectrum further details of bar or optical code scanning devices
- G06K7/10861—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation by scanning of the records by radiation in the optical part of the electromagnetic spectrum further details of bar or optical code scanning devices sensing of data fields affixed to objects or articles, e.g. coded labels
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Abstract
The invention discloses a method, a device and a medium for delivering express by a robot, which comprises the following steps: s1, obtaining express information to be delivered; s2, acquiring the delivery address according to the express delivery information to be delivered; the delivery address is determined according to the action track and the state of the addressee; and S3, the robot moves to the delivery address and informs the pick-up person to pick up the piece. The express delivery method dynamically acquires the delivery address according to the action track and the state of the addressee, can acquire the address of the addressee more accurately, and can realize accurate express delivery.
Description
Technical Field
The invention relates to the field of robots, in particular to a method, a device and a medium for delivering express by an express robot.
Background
Along with community or garden improvement and management level progressively promote, manage progressively rigorously to personnel's business turn over, most all dispose access control system, when community or garden security constantly increase, the convenience of express delivery and mailing receives certain influence. In addition, the current express delivery modes mainly adopt two modes of telephone appointment and express cabinet delivery, but the current express delivery mode is not accurate enough, for example, a receiver may not be at the address of the receiver, and if the express delivery is carried out according to the address of the receiver, a great time delay is brought.
The background description provided herein is for the purpose of generally presenting the context of the disclosure. Unless otherwise indicated herein, the material described in this section is not prior art to the claims in this application and is not admitted to be prior art by inclusion in this section.
Disclosure of Invention
Aiming at the technical problems in the related art, the invention provides a method for delivering express by a robot, which comprises the following steps:
s1, obtaining express information to be delivered;
s2, acquiring the delivery address according to the express delivery information to be delivered; the delivery address is determined according to the action track and the state of the addressee;
and S3, the robot moves to the delivery address and informs the pick-up person to pick up the piece.
Specifically, the action track and the state of the receiver are in a practical dynamic face clustering mode, and data of the monitoring camera are analyzed to obtain the track and the state of the acquired person.
Specifically, the dynamic face clustering includes the following steps:
s01, the monitoring system carries out face snapshot to obtain face data;
s02, the server 2 extracts the features of the face data to obtain the face features;
and S03, the human face features are merged into a bottom library.
Specifically, the step S03 further includes:
s031, file merging check: calculating the similarity of the feature and all files for a newly entered captured picture, and merging the first file A1 and the second file A2 when the similarity of the newly captured picture and the first file A1 and the second file A2 exceed a threshold value;
s032, if the similarity between the new snapshot and all the base libraries does not exceed a threshold, creating a new file, and recording the snapshot time and location.
Specifically, the delivery address is obtained from the file according to the name or the contact way of the addressee.
In a second aspect, the present invention further provides a device for delivering express by a robot, which includes the following units:
the express information acquisition unit is used for acquiring express information to be delivered by a user;
the delivery address acquisition unit is used for acquiring the delivery address according to the express information to be delivered; the delivery address is determined according to the action track and the state of the addressee;
and the pickup informing unit is used for informing the pickup person to pick up the pickup when the robot moves to the delivery address.
Specifically, the action track and the state of the receiver are in a practical dynamic face clustering mode, and data of the monitoring camera are analyzed to obtain the track and the state of the acquired person.
Specifically, the dynamic face clustering includes the following steps:
s01, the monitoring system carries out face snapshot to obtain face data;
s02, the server 2 extracts the features of the face data to obtain the face features;
and S03, the human face features are merged into a bottom library.
Specifically, the step S03 further includes:
s031, file merging check: calculating the similarity of the feature and all files for a newly entered captured picture, and merging the first file A1 and the second file A2 when the similarity of the newly captured picture and the first file A1 and the second file A2 exceed a threshold value;
s032, if the similarity between the new snapshot and all the base libraries does not exceed a threshold, creating a new file, and recording the snapshot time and location.
Specifically, the delivery address is obtained from the file according to the name or the contact way of the addressee.
In a third aspect, the present invention also provides a non-volatile medium having instructions stored thereon, where the instructions are executed to implement the robot courier delivery method.
The invention dynamically acquires the delivery address according to the action track and the state of the addressee, can more accurately acquire the address of the addressee, and can realize accurate express delivery.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a schematic diagram of an express delivery robot system provided by an embodiment of the invention;
FIG. 2 is a flowchart of a method for delivering an express delivery by a robot according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of an apparatus for delivering a courier by a robot according to an embodiment of the present invention;
fig. 4 is a schematic diagram of a device for delivering express by a robot provided by the invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments that can be derived by one of ordinary skill in the art from the embodiments given herein are intended to be within the scope of the present invention.
Example one
Referring to fig. 1, fig. 1 is a system for express delivery robots of the present embodiment, which includes a robot 1 and a server 2. Wherein robot 1 is used for receiving and posting the express delivery, and server 2 communicates with robot 1, and is interactive with robot 1.
1 internally designed of robot has the express delivery cabinet, contains the storage net, and net size of dimensions is not unified to common express delivery size design overall arrangement. In addition, a device for scanning two-dimensional express codes or bar codes, such as a camera, is arranged in the robot 1. Storage compartment upper portion is provided with simple and easy unordered letter sorting system of arm, can detect and discernment two-dimensional code to arbitrary unknown express delivery, carries out three-dimensional space location to remove express delivery article to the express delivery exit with the terminal sucking disc of arm, after the addressee accomplished authentication, the arm was according to addressee's information, inquires the interior target express delivery of storage compartment, checks two-dimensional code or bar code information, sorts the exit with target express delivery.
In addition, the robot 1 also has other devices such as a battery and a power device to realize autonomous movement and navigation positioning of the robot.
The robot 1 further has an authentication system: when the receiver gets the object, the identity authentication with the robot is needed, various modes such as code scanning authentication, face authentication, password authentication, voiceprint authentication and the like can be selected, the robot system can perform algorithm analysis on authentication information, match the authentication information with background database information, electronically unlock the authentication information after the authentication information is confirmed, and automatically open the receiving cabinet. In the authentication and taking processes, the recording function is started in the whole process, and after the receiver confirms that the receipt is finished, the receiver can select to clear the own pickup and recording information.
The server 2 may obtain the monitoring data and perform face clustering analysis on the monitoring data, which is described in detail below.
Referring to fig. 2, the present embodiment discloses a method for delivering an express by a robot, which includes the following steps:
s1, obtaining express information to be delivered;
the robot 1 can scan two-dimensional codes or bar codes of express delivery to obtain express delivery information, wherein the express delivery information comprises an express delivery bill number, recipient information and the like. The recipient information includes but is not limited to contact information, recipient address.
The specific robot 1 can obtain the addressee information from the server 2 in real time according to the identified express bill number; or the robot 1 can directly scan the express bill number to obtain the recipient information; or the robot downloads corresponding express information from the server 2 in advance and acquires the recipient information according to the identified express bill number.
S2, acquiring the delivery address according to the express delivery information to be delivered; the delivery address is determined according to the action track and the state of the addressee;
specifically, after acquiring the express delivery information, the robot 1 interacts with the server 2 to acquire a delivery address.
The server 2 may obtain the data of the monitoring cameras of the park or the community, or obtain the corresponding data of the monitoring cameras of the park or the community from a third-party server having the data of the monitoring cameras of the park or the community.
The server 2 analyzes the data of the monitoring camera in a dynamic face clustering mode to acquire clustered personnel information, wherein the monitoring camera can acquire the track and the state of personnel.
Community or garden monitored control system carries out the people's face to business turn over community or garden and takes a candid photograph in real time, acquires corresponding people's face data, also can note the ID of camera simultaneously, and then can acquire the collection place according to the ID of camera. The camera can record corresponding geographical position information when being installed, and corresponding trajectory information of a person, such as the current position of the person, can be acquired by combining the acquisition place or ID of the camera and corresponding face data.
For example, if person a is captured in the garage, person a may be considered to be in the garage at that time.
In the embodiment, a large-scale dynamic face clustering method is adopted, faces of the same person are put into a file, time and a collecting place are recorded, and a clustering system records the behavior track of each person entering and exiting a park.
The dynamic face clustering method of the embodiment is as follows:
and S01, the monitoring system carries out face snapshot to obtain face data.
S02, the server 2 extracts the characteristics of the face data to obtain the face characteristics. In a specific embodiment, the face features may be obtained in a deep learning or convolutional neural network manner, and the corresponding implementation manner may refer to an existing face feature extraction method, which is not described in detail in this embodiment.
And S03, the human face features are merged into a bottom library. The specific server 2 may pre-establish a base library, in which face feature data of different persons are stored. The server 2 searches in the bottom library according to the newly acquired face features to acquire whether corresponding face features exist, if so, adds the corresponding face features into the corresponding personnel file, otherwise, creates a personnel file and records the face features.
The specific server can establish the following base library, wherein the archive form of the base library record is as follows:
the method comprises the following steps of 1, acquiring a person file, a human face feature, a time information and a collecting place, wherein the person file comprises 1, a human face feature, 1 and time information; the method comprises the following steps of (1) acquiring face characteristics 2, time information 2 and an acquisition place 1; face features 3, time information 3 and an acquisition place 2; …, human face feature M, time information M and acquisition location N.
The method comprises the following steps of (1) acquiring a person file 2, human face features 1, time information 1 and an acquisition place 1; the method comprises the following steps of (1) acquiring face characteristics 2, time information 2 and an acquisition place 1; the method comprises the following steps of (1) acquiring face features 2, time information 3 and an acquisition place 2; …, human face feature M, time information M and acquisition location N.
The method comprises the following steps of 1, acquiring a person file 3, human face characteristics 1, time information 1 and an acquisition place 1; the method comprises the following steps of (1) acquiring face characteristics 2, time information 2 and an acquisition place 1; face features 3, time information 3 and an acquisition place 2; …, human face feature M, time information M and acquisition location N.
…
The method comprises the following steps of A, acquiring a person file K, human face characteristics K, time information 1 and an acquisition place 1; human face characteristics K, time information 2 and an acquisition place 1; face features K, time information 3 and an acquisition place 2; … human face characteristic K, time information M and acquisition place N.
Specifically, generally speaking, a person has uniqueness, and a person corresponds to a unique person file, but the same person may form a plurality of person files by being subjected to snapshot light, posture of the person, wearing a mask, and the like. For this situation, when the face features are merged into the base library, the embodiment further includes the following steps:
s031, file merging check: calculating the similarity of the feature and all files for a newly entered captured picture, and merging the first file A1 and the second file A2 when the similarity of the newly captured picture and the first file A1 and the second file A2 exceed a threshold value;
supposing that a person A is snapped with two faces, one face mask is worn, the other face mask is held down, the similarity of the two snap shot features is low, the face mask wearing picture and the face down picture are recorded as two files A1 and A2 in a bottom library, at the moment, a snap shot feature is newly entered, the similarity of the feature and all files is calculated, and if the similarity of the new snap shot and the face mask wearing picture and the face down picture of the person A is high, the files A1 and A2 are combined, the time and the place of the face snap shot with the face mask wearing picture and the time and the place of the face snap shot with the face down picture are combined, and the newly entered snap shot time and place are combined to form a travel track and a state.
S032, if the similarity between the new captured picture and all the images in the base does not exceed a threshold, creating a new file, and recording the capturing time and location.
The specific personnel file also contains information such as names and contact information of personnel.
The server 2 acquires the personnel file information from the bottom library according to the express delivery information, such as the name of the addressee, the contact information of the addressee and the like, and takes the latest acquired collection address in the personnel file as a delivery address.
For example, the server 2 searches that the destination address is the archive a from the bottom library according to the name of the recipient, acquires the collection address of the latest collection time according to the collection time information recorded in the archive a, and sends the delivery address of the garage to the robot if the difference between the latest collection time and the current time is within a first threshold value, and the first threshold value can be set to 10 minutes.
And S3, the robot moves to the delivery address and informs the pick-up person to pick up the piece.
And the robot informs the pick-up person to pick up the delivery address after moving to the delivery address according to the acquired delivery address. Specifically, the pickup person can be notified in a short message notification manner.
According to the embodiment, the delivery address is dynamically acquired according to the action track and the state of the receiver, the address of the receiver can be accurately acquired, and accurate express delivery can be realized. Compared with the pickup mode according to the address of the receiver, on one hand, the pickup mode does not know when the receiver picks up the mail in time, if the receiver needs to make a call repeatedly for reminding, and on the other hand, the pickup mode is to let the receiver pick up the mail instead of sending the mail by the intelligent robot.
According to the embodiment, the express delivery method can accurately deliver the addressee to the addressee according to the action track and the state of the addressee, for example, the addressee address of the addressee is in an industrial park, and the current express delivery mode is as follows: express delivery personnel can't get into the garden, can only wait at the gate or deposit the express delivery cabinet, and robot system is delivered in the express delivery, can call the safety monitoring system in industry garden, and system or property system etc. of registering assume intelligent analysis to arrive the addressee in the garage, so direct contact addressee need not send the garage to. Compared with the past delivery mode, the intelligent delivery mode is a more intelligent delivery mode.
The specific embodiment further comprises the following steps:
and S04, authenticating the identity of the recipient and the robot to obtain the express delivery.
Specifically, a plurality of modes such as code scanning authentication, face authentication, password authentication and voiceprint authentication can be selected, the intelligent express delivery robot system in the garden can perform algorithm analysis on authentication information, match the authentication information with background database information, electronically unlock after confirmation, and automatically open a receiving cabinet. In the authentication and taking processes, the recording function is started in the whole process, and after the receiver confirms that the receipt is finished, the receiver can select to clear the own pickup and recording information.
In order to facilitate the robot to deliver the express, when the robot receives the express to be delivered, the server 2 system collects delivery information such as behavior track information of a cluster system owner and the like and makes an optimized delivery route and time plan to generate an optimized delivery sequence list, workers at an express post station are put in the list according to the sequence of' post delivery, first put in, and then put in the sequence, two-dimensional codes or bars are put in upwards, and in the process of putting in, the sorting system checks whether the express is in the recommended system sequence list or not, and checks express addressees and the putting sequence which are put in by the express.
Example two
Referring to fig. 3, the embodiment discloses a device for delivering express by robot, which includes the following units
The express information acquisition unit is used for acquiring express information to be delivered;
the robot 1 can scan two-dimensional codes or bar codes of express delivery to obtain express delivery information, wherein the express delivery information comprises an express delivery bill number, recipient information and the like. The recipient information includes but is not limited to contact information, recipient address.
The specific robot 1 can obtain the addressee information from the server 2 in real time according to the identified express bill number; or the robot 1 can directly scan the express bill number to obtain the recipient information; or the robot downloads corresponding express information from the server 2 in advance and acquires the recipient information according to the identified express bill number.
The delivery address acquisition unit is used for acquiring the delivery address according to the express information to be delivered; the delivery address is determined according to the action track and the state of the addressee;
specifically, after acquiring the express delivery information, the robot 1 interacts with the server 2 to acquire a delivery address.
The server 2 may obtain the data of the monitoring cameras of the park or the community, or obtain the corresponding data of the monitoring cameras of the park or the community from a third-party server having the data of the monitoring cameras of the park or the community.
The server 2 analyzes the data of the monitoring camera in a dynamic face clustering mode to acquire clustered personnel information, wherein the monitoring camera can acquire the track and the state of personnel.
Community or garden monitored control system carries out the people's face to business turn over community or garden and takes a candid photograph in real time, acquires corresponding people's face data, also can note the ID of camera simultaneously, and then can acquire the collection place according to the ID of camera. The camera can record corresponding geographical position information when being installed, and corresponding trajectory information of a person, such as the current position of the person, can be acquired by combining the acquisition place or ID of the camera and corresponding face data.
For example, if person a is captured in the garage, person a may be considered to be in the garage at that time.
In the embodiment, a large-scale dynamic face clustering method is adopted, faces of the same person are put into a file, time and a collecting place are recorded, and a clustering system records the behavior track of each person entering and exiting a park.
The dynamic face clustering method of the embodiment is as follows:
and S01, the monitoring system carries out face snapshot to obtain face data.
S02, the server 2 extracts the characteristics of the face data to obtain the face characteristics. In a specific embodiment, the face features may be obtained in a deep learning or convolutional neural network manner, and the corresponding implementation manner may refer to an existing face feature extraction method, which is not described in detail in this embodiment.
And S03, the human face features are merged into a bottom library. The specific server 2 may pre-establish a base library, in which face feature data of different persons are stored. The server 2 searches in the bottom library according to the newly acquired face features to acquire whether corresponding face features exist, if so, adds the corresponding face features into the corresponding personnel file, otherwise, creates a personnel file and records the face features.
The specific server can establish the following base library, wherein the archive form of the base library record is as follows:
the method comprises the following steps of 1, acquiring a person file, a human face feature, a time information and a collecting place, wherein the person file comprises 1, a human face feature, 1 and time information; the method comprises the following steps of (1) acquiring face characteristics 2, time information 2 and an acquisition place 1; face features 3, time information 3 and an acquisition place 2; …, human face feature M, time information M and acquisition location N.
The method comprises the following steps of (1) acquiring a person file 2, human face features 1, time information 1 and an acquisition place 1; the method comprises the following steps of (1) acquiring face characteristics 2, time information 2 and an acquisition place 1; the method comprises the following steps of (1) acquiring face features 2, time information 3 and an acquisition place 2; …, human face feature M, time information M and acquisition location N.
The method comprises the following steps of 1, acquiring a person file 3, human face characteristics 1, time information 1 and an acquisition place 1; the method comprises the following steps of (1) acquiring face characteristics 2, time information 2 and an acquisition place 1; face features 3, time information 3 and an acquisition place 2; …, human face feature M, time information M and acquisition location N.
…
The method comprises the following steps of A, acquiring a person file K, human face characteristics K, time information 1 and an acquisition place 1; human face characteristics K, time information 2 and an acquisition place 1; face features K, time information 3 and an acquisition place 2; … human face characteristic K, time information M and acquisition place N.
Specifically, generally speaking, a person has uniqueness, and a person corresponds to a unique person file, but the same person may form a plurality of person files by being subjected to snapshot light, posture of the person, wearing a mask, and the like. For this situation, when the face features are merged into the base library, the embodiment further includes the following steps:
s031, file merging check: calculating the similarity of the feature and all files for a newly entered captured picture, and merging the first file A1 and the second file A2 when the similarity of the newly captured picture and the first file A1 and the second file A2 exceed a threshold value;
supposing that a person A is snapped with two faces, one face mask is worn, the other face mask is held down, the similarity of the two snap shot features is low, the face mask wearing picture and the face down picture are recorded as two files A1 and A2 in a bottom library, at the moment, a snap shot feature is newly entered, the similarity of the feature and all files is calculated, and if the similarity of the new snap shot and the face mask wearing picture and the face down picture of the person A is high, the files A1 and A2 are combined, the time and the place of the face snap shot with the face mask wearing picture and the time and the place of the face snap shot with the face down picture are combined, and the newly entered snap shot time and place are combined to form a travel track and a state.
S032, if the similarity between the new captured picture and all the images in the base does not exceed a threshold, creating a new file, and recording the capturing time and location.
The specific personnel file also contains information such as names and contact information of personnel.
The server 2 acquires the personnel file information from the bottom library according to the express delivery information, such as the name of the addressee, the contact information of the addressee and the like, and takes the latest acquired collection address in the personnel file as a delivery address.
For example, the server 2 searches that the destination address is the archive a from the bottom library according to the name of the recipient, acquires the collection address of the latest collection time according to the collection time information recorded in the archive a, and sends the delivery address of the garage to the robot if the difference between the latest collection time and the current time is within a first threshold value, and the first threshold value can be set to 10 minutes.
And the pick-up informing unit is used for informing the pick-up person to pick up the pick-up when the robot moves to the delivery address.
And the robot informs the pick-up person to pick up the delivery address after moving to the delivery address according to the acquired delivery address. Specifically, the pickup person can be notified in a short message notification manner.
According to the embodiment, the delivery address is dynamically acquired according to the action track and the state of the receiver, the address of the receiver can be accurately acquired, and accurate express delivery can be realized. Compared with the pickup mode according to the address of the receiver, on one hand, the pickup mode does not know when the receiver picks up the mail in time, if the receiver needs to make a call repeatedly for reminding, and on the other hand, the pickup mode is to let the receiver pick up the mail instead of sending the mail by the intelligent robot.
According to the embodiment, the express delivery method can accurately deliver the addressee to the addressee according to the action track and the state of the addressee, for example, the addressee address of the addressee is in an industrial park, and the current express delivery mode is as follows: express delivery personnel can't get into the garden, can only wait at the gate or deposit the express delivery cabinet, and robot system is delivered in the express delivery, can call the safety monitoring system in industry garden, and system or property system etc. of registering assume intelligent analysis to arrive the addressee in the garage, so direct contact addressee need not send the garage to. Compared with the past delivery mode, the intelligent delivery mode is a more intelligent delivery mode.
EXAMPLE III
Referring to fig. 4, fig. 4 is a schematic structural diagram of a robot delivery express handling device according to the embodiment. A robotic delivery courier handling device 20 of this embodiment includes a processor 21, a memory 22, and a computer program stored in the memory 22 and executable on the processor 21. The processor 21 implements the steps in the embodiment of the method for processing the robot delivery of the express delivery when executing the computer program. Alternatively, the processor 21 implements the functions of the modules/units in the above-described device embodiments when executing the computer program.
Illustratively, the computer program may be divided into one or more modules/units, which are stored in the memory 22 and executed by the processor 21 to accomplish the present invention. The one or more modules/units may be a series of computer program instruction segments capable of performing specific functions, which are used to describe the execution of the computer program in the one type of robotic delivery express handling device 20. For example, the computer program may be divided into the modules in the first embodiment, and for the specific functions of the modules, reference is made to the working process of the foregoing embodiment, which is not described herein again.
The robot delivery express handling device 20 may include, but is not limited to, a processor 21 and a memory 22. It will be appreciated by those skilled in the art that the schematic diagram is merely an example of a robotic delivery courier handling device 20 and is not intended to limit a robotic delivery courier handling device 20 and may include more or fewer components than shown, or some combination of components, or different components, for example, the robotic delivery courier handling device 20 may also include input-output devices, network access devices, buses, etc.
The Processor 21 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware component, etc. The general purpose processor may be a microprocessor or the processor may be any conventional processor or the like, and the processor 21 is the control center of the one type of robotic delivery courier handling device 20, with various interfaces and lines connecting the various parts of the entire one type of robotic delivery courier handling device 20.
The memory 22 may be used to store the computer programs and/or modules, and the processor 21 may implement various functions of the robot delivery express handling device 20 by running or executing the computer programs and/or modules stored in the memory 22 and invoking data stored in the memory 22. The memory 22 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the cellular phone, and the like. In addition, the memory 22 may include high speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), at least one magnetic disk storage device, a Flash memory device, or other volatile solid state storage device.
Wherein, the integrated module/unit of the robot delivery express processing device 20 can be stored in a computer readable storage medium if it is implemented in the form of software functional unit and sold or used as a stand-alone product. Based on such understanding, all or part of the flow of the method according to the above embodiments may be implemented by a computer program, which may be stored in a computer readable storage medium and used by the processor 21 to implement the steps of the above embodiments of the method. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the computer readable medium may contain content that is subject to appropriate increase or decrease as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media does not include electrical carrier signals and telecommunications signals as is required by legislation and patent practice.
It should be noted that the above-described device embodiments are merely illustrative, where the units described as separate parts may or may not be physically separate, and the parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. In addition, in the drawings of the embodiment of the apparatus provided by the present invention, the connection relationship between the modules indicates that there is a communication connection between them, and may be specifically implemented as one or more communication buses or signal lines. One of ordinary skill in the art can understand and implement the method without creative effort.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (11)
1. A method for delivering express by a robot comprises the following steps:
s1, obtaining express information to be delivered;
s2, acquiring the delivery address according to the express delivery information to be delivered; the delivery address is determined according to the action track and the state of the addressee;
and S3, the robot moves to the delivery address and informs the pick-up person to pick up the piece.
2. The method of claim 1, wherein the trajectory and status of the recipient are in a practical dynamic face clustering manner, and the data of the monitoring camera is analyzed to obtain the trajectory and status of the person.
3. The method of claim 2, the dynamic face clustering comprising the steps of:
s01, the monitoring system carries out face snapshot to obtain face data;
s02, the server 2 extracts the features of the face data to obtain the face features;
and S03, the human face features are merged into a bottom library.
4. The method of claim 3, said step S03 further comprising:
s031, file merging check: calculating the similarity of the feature and all files for a newly entered captured picture, and merging the first file A1 and the second file A2 when the similarity of the newly captured picture and the first file A1 and the second file A2 exceed a threshold value;
s032, if the similarity between the new snapshot and all the base libraries does not exceed a threshold, creating a new file, and recording the snapshot time and location.
5. A method according to claim 4, wherein the delivery address is retrieved from the profile according to the name or contact address of the recipient.
6. A robot delivers device of express delivery, it includes following unit:
the express information acquisition unit is used for acquiring express information to be delivered by a user;
the delivery address acquisition unit is used for acquiring the delivery address according to the express information to be delivered; the delivery address is determined according to the action track and the state of the addressee;
and the pickup informing unit is used for informing the pickup person to pick up the pickup when the robot moves to the delivery address.
7. The device of claim 6, wherein the trajectory and status of the recipient are in a practical dynamic face clustering manner, and the data of the monitoring camera is analyzed to obtain the trajectory and status of the person.
8. The apparatus of claim 7, the dynamic face clustering comprising the steps of:
s01, the monitoring system carries out face snapshot to obtain face data;
s02, the server 2 extracts the features of the face data to obtain the face features;
and S03, the human face features are merged into a bottom library.
9. The apparatus of claim 8, the step S03 further comprising:
s031, file merging check: calculating the similarity of the feature and all files for a newly entered captured picture, and merging the first file A1 and the second file A2 when the similarity of the newly captured picture and the first file A1 and the second file A2 exceed a threshold value;
s032, if the similarity between the new snapshot and all the base libraries does not exceed a threshold, creating a new file, and recording the snapshot time and location.
10. The apparatus of claim 9, wherein the delivery address is obtained from the profile based on recipient name or contact.
11. A non-volatile storage medium having stored thereon instructions which, when executed, are to implement the method of any one of claims 1-5.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202111119889.1A CN113963401A (en) | 2021-09-24 | 2021-09-24 | Method, device and medium for delivering express by robot |
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| CN202111119889.1A CN113963401A (en) | 2021-09-24 | 2021-09-24 | Method, device and medium for delivering express by robot |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114429332A (en) * | 2022-02-11 | 2022-05-03 | 深圳唯爱智云科技有限公司 | Client express management method and system |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114429332A (en) * | 2022-02-11 | 2022-05-03 | 深圳唯爱智云科技有限公司 | Client express management method and system |
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