CN113408494A - Self-service sending cabinet sender identity recognition system and method - Google Patents
Self-service sending cabinet sender identity recognition system and method Download PDFInfo
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Abstract
The invention relates to a self-service sending cabinet sender identity recognition method and a self-service sending cabinet sender identity recognition system, wherein the method comprises the following steps: s1, inputting user audio information in the mobile client, extracting first user information from the audio information, and sending the first user information to the server; s2, the server standardizes the user information to obtain a personal data set, and sends the personal data set to a mail cabinet end; s3, acquiring second user information of the mail sending user through a shooting module arranged on the mail sending cabinet; s4, the mail cabinet processor extracts the characteristic information of the second user information; and S5, comparing the personal data set with the characteristic information to identify the user. The self-service sending cabinet sender identity identification method and system have the advantages of high safety, convenience in deposit and good use experience.
Description
Technical Field
The application relates to the technical field of sending cabinets, in particular to a self-service sending cabinet sender identity recognition system and method.
Background
In prior art's express delivery cabinet, send a function and collect the function of express delivery and all integrate in same express delivery cabinet, the express delivery cabinet has been undertaken the courier simultaneously and has been saved, and the user deposits and the function of taking out, and in high density user area, often can form to queue up and send the condition of getting the express delivery. In addition, in the sending cabinet in the prior art, the express sending is to fill information in the mobile phone and place an order, and then the express is delivered into the sending cabinet, so that the identity recognition operation must be performed through the mobile phone in the mode, and the operation is complicated.
Therefore, a sending cabinet which is convenient to deliver and rapid and accurate in identity recognition is needed.
Disclosure of Invention
The invention aims to overcome the defects in the prior art and provide the sending cabinet which is convenient to deliver and rapid and accurate in identity recognition.
In order to achieve the above object, the present invention has the following configuration:
by adopting the self-service sending cabinet sender identity identification method, the method comprises the following steps:
s1, inputting user audio information in the mobile client, extracting first user information from the audio information, and sending the first user information to the server;
s2, the server standardizes the first user information to obtain a personal data set, and sends the personal data set to a mail cabinet end;
s3, acquiring second user information of the mail sending user through a shooting module arranged on the mail sending cabinet;
s4, the mail cabinet processor extracts the characteristic information of the second user information;
and S5, comparing the personal data set with the characteristic information to identify the user.
In the self-service mail cabinet sender identification method, the step S1 specifically includes:
s1, inputting user audio information in the mobile client, intercepting the information at intervals of fixed time by the audio information, extracting first user information from the intercepted information center, and sending the first user information to a server;
in the self-service sending cabinet sender identity recognition method, the first user information comprises face information, head information and shoulder information.
In the self-service mail cabinet sender identification method, the standardization processing in step S2 includes the steps of:
s2-1, preprocessing the first user information to remove interference information, wherein the preprocessing comprises gray level correction and noise filtration.
And S2-2, performing face recognition, detecting a face, selecting face positioning points, constructing face structural features through the connection of the positioning points, and integrating the face structural features into a personal data set.
In the self-service sending cabinet sender identity recognition method, the shooting module comprises a human face camera.
In the self-service mail cabinet sender identification method, the step S4 specifically includes:
s4: the sender cabinet processor extracts feature information of second user information, specifically detects a human face, selects part of facial locating points, constructs part of facial structural features through connection of the locating points, and integrates the part of facial structural features into the feature information.
In the self-service mail cabinet sender identification method, the step S5 specifically includes:
s5, comparing the personal data set with the characteristic information, executing step S5-1 when the personal data set of the mail cabinet end contains the characteristic information with the matching degree larger than or equal to the set threshold value, otherwise executing step S5-2;
s5-1, when the identification is successful, the mail information of the user is imported, and the user is allowed to perform the next operation;
and S5-2, the identification fails, the mail cabinet is locked, and the user is not allowed to perform further operation.
This application still includes a self-service cabinet sender identification system of sending, and this system includes:
the mobile client inputs user audio information and extracts first user information from the audio information;
the server receives the first user information, and the server carries out standardization processing on the user information to obtain a personal data set;
send the cabinet, send the cabinet and receive the personal data set, send and still be provided with on the cabinet:
the shooting module is used for acquiring second user information of the mail sending user;
and the processor extracts the characteristic information of the second user information, compares the personal data set with the characteristic information and identifies the user.
In the self-service sending cabinet sender identity recognition system, the specific way of extracting the first user information from the audio information is as follows: intercepting information at intervals of fixed time for the audio information, and extracting first user information from an intercepted information center;
the first user information comprises face information, head information and shoulder information.
In the self-service sending cabinet sender identity recognition system, the shooting module comprises a human face camera.
The self-service sending cabinet sender identity recognition method comprises the following steps: s1, inputting user audio information in the mobile client, extracting first user information from the audio information, and sending the first user information to the server; s2, the server standardizes the user information to obtain a personal data set, and sends the personal data set to a mail cabinet end; s3, acquiring second user information of the mail sending user through a shooting module arranged on the mail sending cabinet; s4, the mail cabinet processor extracts the characteristic information of the second user information; and S5, comparing the personal data set with the characteristic information to identify the user. The self-service sending cabinet sender identity identification method and system have the advantages of high safety, convenience in deposit and good use experience.
Drawings
FIG. 1 illustrates a preferred embodiment of a method of use of the self-service mail cabinet of the present application;
fig. 2 is a schematic structural view of a self-service mail cabinet according to the present application;
description of the symbols: 1, a display; 2, a weighing device; 3, a human face camera; 4 a printing device; 5, an environment camera; 6, a loudspeaker; 7, a packaging cabinet; 8 a delivery port; and 9 taking out the object.
Detailed Description
The technical solutions in the embodiments of the present disclosure will be clearly and completely described below with reference to the accompanying drawings, and it is to be understood that the described embodiments are only some embodiments of the present disclosure, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the disclosed embodiments without making any creative effort, also belong to the protection scope of the present invention.
As used in this application and the appended claims, the terms "a," "an," "the," and/or "the" are not intended to be inclusive in the singular, but rather are intended to be inclusive in the plural unless the context clearly dictates otherwise. The terms "first" and "second" are not limiting words, and are used for explanation only and understanding of the technical solutions of the present invention, and the terms "first" and "second" may be substituted for each other. In general, the terms "comprises" and "comprising" merely indicate that steps and elements are included which are explicitly identified, that the steps and elements do not form an exclusive list, and that a method or apparatus may include other steps or elements.
Fig. 1 shows an embodiment of a preferred self-service mail cabinet sender identification method, comprising the steps of:
by adopting the self-service sending cabinet sender identity identification method, the method comprises the following steps:
s1, inputting user audio information in the mobile client, extracting first user information from the audio information, and sending the first user information to the server; the first user information comprises face information, head information and shoulder information;
s2, the server standardizes the user information to obtain a personal data set, and sends the personal data set to a mail cabinet end;
s2-1, preprocessing the first user information to remove interference information, wherein the preprocessing comprises gray level correction and noise filtration.
And S2-2, performing face recognition, detecting a face, selecting face positioning points, constructing face structural features through the connection of the positioning points, and integrating the face structural features into a personal data set. S3, acquiring second user information of the mail sending user through a shooting module arranged on the mail sending cabinet; the shooting module comprises a human face camera;
s4: the sender cabinet processor extracts feature information of second user information, specifically detects a human face, selects part of facial locating points, constructs part of facial structural features through connection of the locating points, and integrates the part of facial structural features into the feature information.
S5, comparing the personal data set with the characteristic information, executing step S5-1 when the personal data set of the mail cabinet end contains the characteristic information with the matching degree larger than or equal to the set threshold value, otherwise executing step S5-2;
s5-1, when the identification is successful, the mail information of the user is imported, and the user is allowed to perform the next operation;
and S5-2, the identification fails, the mail cabinet is locked, and the user is not allowed to perform further operation.
In a preferred embodiment, step S1 may also be, S1, entering user audio information into the mobile client, intercepting the audio information at regular intervals, extracting first user information from the intercepted information center, and sending the first user information to the server;
the audio information is used for recording the face of the user through a camera of the mobile client. The extracting the first user information is to separate the head and the shoulders from the intercepted information. The head comprises face information and other head information.
In a preferred embodiment, the first user information includes shoulder information, the shoulder information is used for positioning the face of the user and judging whether the user is a real user.
In a preferred embodiment, the user information is normalized to obtain the personal data set, wherein the normalization process is performed in the following manner:
s2-1, preprocessing the first user information, wherein the unprocessed image is limited and interfered by environment, shooting mode and the like, and often cannot be used directly, and the unprocessed image needs to be subjected to image preprocessing such as gray level correction and noise filtration to obtain a primarily processed image for subsequent feature extraction. The pretreatment further comprises: face alignment, light compensation, gray level conversion, correction, sharpening, and the like.
S2-2, a face recognition device is arranged in the server, the face recognition device can detect the face through a preset algorithm, a face locating point is selected, and the face structure characteristics are constructed through the connection of the locating points; the facial structure features are personal data sets.
In a preferred embodiment, the mail cabinet shoots an audio frequency containing the face of the user through the shooting module, the audio frequency is second user information, and the processor arranged in the mail cabinet extracts the characteristic information in the second user information. The characteristic information can be a complete face detected through a preset algorithm, a face positioning point is selected, and a complete face structure characteristic is constructed through the connection of the positioning points; or selecting part of face positioning points, such as eye positioning points and nose positioning points, for selecting part of faces.
In a preferred embodiment, the step S5 compares the personal data set with the feature information, specifically, when the matching degree between the personal data set and the feature information in the mail cabinet is greater than or equal to a set threshold, the mail cabinet determines that the identification is successful, imports the mail information of the user, and allows the user to perform the next operation. When the personal data set in the mail cabinet does not contain the characteristic information and the matching degree is more than or equal to the set threshold value, the mail sending information of the user is not imported, and the user is not allowed to carry out further operation. The self-service sending cabinet sender identity identification method has the advantages of high safety, convenience in deposit and good use experience.
In a preferred embodiment, the sending cabinet of this application is last still to be provided with the environment camera, and the environment camera is used for gathering the environmental information of environment when shooting module shooting or when preparing to shoot. The environment information may be any information capable of describing the current environment, and for example, the environment information may include grayscale environment image information, environment sound information, speed information, position information, and the like. For example, at night, when the light is dark, when the module of shooing was prepared to shoot, the environmental camera started and gathered environmental information, and it detects that the light is dark, and the module of shooing improves the sensitivity according to this testing result.
In a preferred embodiment, the mobile client can collect and send user voice information to the server, and the server analyzes the voiceprint and sends the voiceprint to the mail cabinet, and uses the voiceprint (hereinafter referred to as a "pre-stored voiceprint") as a reference for identification. When the identity identification needs to be carried out on the sending cabinet, the sending cabinet determines whether the currently collected user sound information is matched with the pre-received user sound by collecting the current user sound information and comparing the current user sound information with the pre-stored voiceprint. In one example, it may be determined whether the collected user voice information is included in the user voice received in advance by detecting a voiceprint. Wherein, the voiceprint not only has the characteristics of specificity, but also has the characteristic of relative stability. When a person becomes adult, the voice can be kept relatively stable and unchanged for a long time. Experiments prove that the voiceprint of the speaker is always the same no matter the speaker intentionally imitates the voice and tone of other people or the speaker speaks lightly. Therefore, the method and the device can acquire the user sound information of the current user through the mobile client, acquire the voiceprint information from the user sound information, acquire the user sound information when the user needs to operate the mail cabinet, and compare the user sound information with the voiceprint so as to identify the identity of the user.
In a specific example, the sending cabinet determines whether the current user voice information is contained in the received voiceprint information, namely, the sending cabinet determines that the identity identification is successful after the current user voiceprint information has the pre-stored voiceprint matched with the current user voiceprint information by comparing the current user voiceprint information with the received user voiceprint information, imports the sending information of the user, and allows the user to perform the next operation. In another example, if the sending cabinet determines that the current user voiceprint information is not included in the pre-stored voiceprint, the sending cabinet determines that the identification fails, and the sending information is not imported.
In a preferred embodiment, the face recognition and the voiceprint recognition of the mail cabinet can be simultaneously used, and after the user passes the face recognition and the voiceprint recognition, the mail cabinet determines that the identity recognition is successful, imports the mail information of the user, and allows the user to perform the next operation.
The invention also includes a self-service sending cabinet sender identity recognition system, which includes:
the mobile client inputs user audio information and extracts first user information from the audio information;
the server receives the first user information, and the server carries out standardization processing on the user information to obtain a personal data set;
send the cabinet, send the cabinet and receive the personal data set, send and still be provided with on the cabinet:
the shooting module is used for acquiring second user information of the mail sending user;
and the processor extracts the characteristic information of the second user information, compares the personal data set with the characteristic information and identifies the user.
In the self-service sending cabinet sender identity recognition system, the specific way of extracting the first user information from the audio information is as follows: intercepting information at intervals of fixed time for the audio information, and extracting first user information from an intercepted information center;
the first user information comprises face information, head information and shoulder information.
In the self-service sending cabinet sender identity recognition system, the shooting module comprises a face camera and an environment camera.
The foregoing is illustrative of the present invention and is not to be construed as limiting thereof. Although a few exemplary embodiments of the present invention have been described, those skilled in the art will readily appreciate that many modifications are possible in the exemplary embodiments without materially departing from the novel teachings and advantages of this invention. Accordingly, all such modifications are intended to be included within the scope of this invention as defined in the claims. It is to be understood that the foregoing is illustrative of the present invention and is not to be construed as limited to the specific embodiments disclosed, and that modifications to the disclosed embodiments, as well as other embodiments, are intended to be included within the scope of the appended claims. The invention is defined by the claims and their equivalents.
Claims (10)
1. A self-service mail cabinet sender identity recognition method is characterized by comprising the following steps:
s1, inputting user audio information in the mobile client, extracting first user information from the audio information, and sending the first user information to the server;
s2, the server standardizes the first user information to obtain a personal data set, and sends the personal data set to a mail cabinet end;
s3, acquiring second user information of the mail sending user through a shooting module arranged on the mail sending cabinet;
s4, the mail cabinet processor extracts the characteristic information of the second user information;
and S5, comparing the personal data set with the characteristic information to identify the user.
2. The method for identifying a sender of a self-service mail cabinet according to claim 1, wherein step S1 specifically comprises:
s1, inputting user audio information in the mobile client, intercepting the audio information at fixed intervals, extracting first user information from the intercepted information center, and sending the first user information to the server.
3. A self-service mail cabinet sender identification method as in claim 1 or 2, wherein said first user information comprises face information, header information and shoulder information.
4. A method for self-service cabinet sender identification as in claim 1, wherein said step S2 of normalizing comprises the steps of:
s2-1, preprocessing the first user information to remove interference information, wherein the preprocessing comprises gray level correction and noise filtration.
And S2-2, performing face recognition, detecting a face, selecting face positioning points, constructing face structural features through the connection of the positioning points, and integrating the face structural features into a personal data set.
5. A self-service mail cabinet sender identity recognition method as in claim 1, wherein said capture module comprises a face camera and an environmental camera.
6. The method for identifying a sender of a self-service mail cabinet according to claim 1, wherein step S4 specifically comprises:
s4: the sender cabinet processor extracts feature information of second user information, specifically detects a human face, selects part of facial locating points, constructs part of facial structural features through connection of the locating points, and integrates the part of facial structural features into the feature information.
7. The method for identifying a sender of a self-service mail cabinet according to claim 1, wherein step S5 specifically comprises:
s5, comparing the personal data set with the characteristic information, executing step S5-1 when the personal data set of the mail cabinet end contains the characteristic information with the matching degree larger than or equal to the set threshold value, otherwise executing step S5-2;
s5-1, when the identification is successful, the mail information of the user is imported, and the user is allowed to perform the next operation;
and S5-2, the identification fails, the mail cabinet is locked, and the user is not allowed to perform further operation.
8. A self-service cabinet sender identification system, the system comprising:
the mobile client inputs user audio information and extracts first user information from the audio information;
the server receives the first user information, and the server carries out standardization processing on the user information to obtain a personal data set;
send the cabinet, send the cabinet and receive the personal data set, send and still be provided with on the cabinet:
the shooting module is used for acquiring second user information of the mail sending user;
and the processor extracts the characteristic information of the second user information, compares the personal data set with the characteristic information and identifies the user.
9. A self-service cabinet sender identification system as claimed in claim 8, wherein said audio information is extracted by: intercepting information at intervals of fixed time for the audio information, and extracting first user information from an intercepted information center; the first user information comprises face information, head information and shoulder information.
The standardization processing comprises preprocessing and face recognition, wherein the preprocessing is used for removing interference information and comprises gray level correction and noise filtration; the face recognition is used for detecting a face, selecting face positioning points, constructing face structure features through connection of the positioning points, and integrating the face structure features into a personal data set.
10. A self-service mail cabinet sender identification system as in claim 8, wherein said capture module comprises a face camera and an environmental camera.
The feature information is a partial facial structure feature, the partial facial structure feature detects a human face through the human face camera and selects partial facial locating points, and the partial facial structure feature is constructed through connection of the locating points.
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