CN116597552A - Face recognition authorization management system for biological sample warehouse-in and warehouse-out - Google Patents

Face recognition authorization management system for biological sample warehouse-in and warehouse-out Download PDF

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CN116597552A
CN116597552A CN202310888240.9A CN202310888240A CN116597552A CN 116597552 A CN116597552 A CN 116597552A CN 202310888240 A CN202310888240 A CN 202310888240A CN 116597552 A CN116597552 A CN 116597552A
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warehouse
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code
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CN116597552B (en
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郎旭梅
孙淼
丁岳嵩
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Qingdao Dashoo Huachuang Technology Co ltd
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Abstract

The application discloses a face recognition authorization management system for a biological sample in-out warehouse, which comprises a biological sample warehouse without an electronic memory, a face recognition authorization module, a sample in-out warehouse module, a label generation module, a label reading module and a sample storage module. The face recognition authorization management system for the biological sample warehouse-in and warehouse-out can effectively improve the confidentiality of the biological sample warehouse by combining the face recognition authorization management through the arrangement of the electronic memory and the closed area.

Description

Face recognition authorization management system for biological sample warehouse-in and warehouse-out
Technical Field
The application relates to the field of biological sample libraries, in particular to a face recognition authorization management system for biological sample in-out warehouse.
Background
The biological sample library provides resource support for the establishment of early diagnosis methods, the development of new drugs, the evaluation of curative effects, novel diagnosis and treatment strategies and the like, and has important significance for formulating population health policies and guarantee systems and improving national health level. The confidentiality requirement of the biological sample library is higher and higher, on one hand, the confidentiality-related biological samples need to be managed by special persons, and on the other hand, the users have higher privacy protection requirements on the biological samples. Existing biological sample libraries often store biological samples and authorization information in a database, but often the database is the source of the compromise event.
Disclosure of Invention
The application aims to provide a biological sample in-out face recognition authorization management system and a biological sample in-out and out-of method, so as to better solve the problems in the background technology.
In order to achieve the above purpose, the present application provides the following technical solutions:
the face recognition authorization management system for the biological sample in-out warehouse comprises an electronic memory-free biological sample warehouse, a face recognition authorization module, a sample in-out warehouse module, a label generation module, a label reading module and a sample storage module;
when a warehousing operator executes sample warehousing operation, a sample warehousing module carries samples into a sample storage module, and feeds corresponding shelf codes back to the warehousing operator, meanwhile, a face recognition authorization module reads face information of the warehousing operator and generates a warehousing authorization code, and a label generation module generates an authorization code label on the samples according to the warehousing authorization code;
when a sample ex-warehouse operator executes sample ex-warehouse operation, a goods shelf code is provided for the sample ex-warehouse module, meanwhile, a face recognition authorization module reads face information of the ex-warehouse operator, a label reading module reads an authorization code label of a sample corresponding to the goods shelf code, if the authorization code label corresponds to the face information of the ex-warehouse operator, the authorization is judged to pass, and the sample is transported out of a sample storage module by the sample ex-warehouse module;
wherein the electronic memory-less biological sample library comprises an interactable area and a closed area; the face recognition module is arranged in the interactive closed area, the tag generation module, the tag reading module and the sample storage module are arranged in the closed area, and the sample access module is connected with the interactive area and the closed area;
the face recognition authorization module is used for recognizing and encoding face information; wherein the face information comprises face feature information and a plurality of face action information; each face motion information comprises head motion information, mouth motion information and eye motion information;
the face recognition authorization module reads face information of a warehouse-in operator and generates a warehouse-in authorization code, and the label generation module generates an authorization code label on a sample according to the warehouse-in authorization code specifically comprises the following steps:
the face recognition authorization module recognizes the face features of the warehouse-in operators and encodes the face feature information to obtain face feature codes of the face feature information of the warehouse-in operators;
the face recognition authorization module recognizes and codes a plurality of face actions of the warehouse-in operator to obtain head action feature codes, mouth action feature codes and eye action feature codes of a plurality of face action information of the warehouse-in operator; the plurality of face motion information of the warehouse-in operator comprises first face motion information and a plurality of second face motion information;
the face recognition authorization module obtains a secret key through the combination of head action feature codes, mouth action feature codes and eye action feature codes of a plurality of second face action information of the warehousing operator, and symmetrically encrypts the face feature codes of the warehousing operator by using the secret key to obtain a warehousing authorization code;
the face recognition authorization module sends the warehousing authorization code and the first face action information of the warehousing operator to the label generation module; the label generating module generates an authorization code label from the warehousing authorization code according to the first face action information of the warehousing operator.
Further, the sample input/output module is provided with an input device, a display device, a sample receiving and sending device and a sample transmission device; the input device is used for receiving the goods shelf code information of the ex-warehouse operator, the display device is used for displaying the goods shelf code information, the sample receiving and delivering device is used for receiving samples from the ex-warehouse operator or delivering the samples to the ex-warehouse operator, and the sample transmission device is used for transmitting the samples between the sample receiving and delivering device and the sample storage module; the sample comprises a sample container and a biological sample contained in the sample container; the sample storage module includes a plurality of shelves for storing samples.
Further, the system also comprises a label destroying module, which is used for destroying the authorization code label before the sample entering and exiting module conveys the sample out of the sample storage module after judging that the authorization is passed; the system also comprises a consumable supplementing module for supplementing consumables of the tag generating module and the tag destroying module.
Further, the number of the plurality of face actions of the operator is n, the face recognition authorization module sums the head action feature code, the mouth action feature code and the eye action feature code of the n face action information and obtains a remainder of n, if the remainder is m, the (m+1) th face action information is set as the first face action information, and the rest of face action information is sequentially set as the second face action information according to the sequence.
Further, the tag generating module generates the authorization code tag for the warehousing authorization code according to the first face action information of the warehousing operator, and specifically includes:
the authorization code label is a QR two-dimensional code, and the label generation module firstly codes the warehousing authorization code to generate a standard QR code; acquiring a head action feature code a, a mouth action feature code b and an eye action feature code c of first face action information of a warehouse-in operator, judging whether each element position (a+k1×c, b+k2×c) of the QR code belongs to version information, format information, a positioning mark, a correction mark and a timing mark area in the QR code, and if not, inverting the element of the element position, wherein the element position (a+k1×c, b+k2×c) represents an a+k1×c column from left to right in the QR code, the element of a b+k2×c row position from top to bottom, and k1 and k2 are all integers which meet that the element position does not exceed the boundary of the QR code; and generating an authorization code label on the sample according to the processed QR code.
Further, the face recognition authorization module reads face information of the ex-warehouse operator, the tag reading module reads an authorization code tag of a sample corresponding to the shelf code, and if the authorization code tag corresponds to the face information of the ex-warehouse operator, the judging authorization specifically comprises:
the face recognition authorization module recognizes the face features of the ex-warehouse operator and encodes the face feature information to obtain a face feature code of the face feature information of the ex-warehouse operator;
the face recognition authorization module recognizes and codes a plurality of face actions of the ex-warehouse operator to obtain head action feature codes, mouth action feature codes and eye action feature codes of a plurality of face action information of the ex-warehouse operator; the plurality of face motion information of the ex-warehouse operator comprises first face motion information and a plurality of second face motion information;
the face recognition authorization module sends first face action information of the ex-warehouse operator to the tag reading module; the tag reading module generates an ex-warehouse authorization code from the authorization code tag according to the first face action information of the ex-warehouse operator;
the face recognition authorization module obtains a secret key through the combination of the head action feature codes, the mouth action feature codes and the eye action feature codes of a plurality of second face action information of the ex-warehouse operator, the secret key comprises the sequence information of the plurality of second face action information, and the secret key is used for symmetrically decrypting the ex-warehouse authorization code to obtain the face feature codes to be confirmed;
the face recognition authorization module recognizes the face features of the ex-warehouse operator and encodes the face feature information to obtain the face feature code of the face feature information of the ex-warehouse operator, compares the face feature code with the face feature code to be confirmed, and judges that the authorization passes if the similarity is larger than a preset threshold.
Further, the tag reading module generates the outbound authorization code from the authorization code tag according to the first face action information of the outbound operator, and specifically includes:
the tag reading module firstly reads the QR code in the authorization code tag; acquiring a head action feature code a ', a mouth action feature code b ' and an eye action feature code c ' of first face action information of a warehouse-out operator; judging whether each element position (a '+k1×c', b '+k2×c') of the QR code belongs to version information, format information, positioning marks, correction marks, timing mark areas in the QR code, and if not, inverting the element of the element position, wherein the element position (a '+k1×c', b '+k2×c') represents an element in a left-to-right (a '+k1×c') column and a b '+k2×c' row position from top to bottom, and k1, k2 are all integers satisfying that the element position does not exceed the QR code boundary; and decoding the QR code to obtain a delivery authorization code according to the processed QR code which is the standard QR code, and sending the delivery authorization code to a face recognition authorization module.
And a biological sample library entry method of a biological sample, comprising:
the warehousing operation personnel execute sample warehousing operation, the samples are transported into the sample storage module through the sample warehousing module, and the corresponding goods shelf codes are fed back to the warehousing operation personnel;
the face recognition authorization module is used for recognizing the face features of the warehouse-in operators and encoding the face feature information to obtain face feature codes of the face feature information of the warehouse-in operators;
the face recognition authorization module is used for recognizing and encoding a plurality of face movements of the warehousing operator to obtain head movement feature codes, mouth movement feature codes and eye movement feature codes of a plurality of face movement information of the warehousing operator; the plurality of face motion information of the warehouse-in operator comprises first face motion information and a plurality of second face motion information;
the method comprises the steps of obtaining a secret key through the combination of head action feature codes, mouth action feature codes and eye action feature codes of a plurality of second face action information of a warehousing operator, and symmetrically encrypting the face feature codes of the warehousing operator by using the secret key to obtain a warehousing authorization code;
the face recognition authorization module is used for sending the warehousing authorization code and the first face action information of the warehousing operator to the tag generation module; the label generating module generates an authorization code label from the warehousing authorization code according to the first face action information of the warehousing operator;
the method comprises the steps of summing head action feature codes, mouth action feature codes and eye action feature codes of n face action information, solving a remainder of n, setting the (m+1) th face action information as first face action information if the remainder is m, and sequentially setting the rest face action information as second face action information according to the sequence, wherein the number of the face actions of an operator is n.
And a biological sample library delivery method of biological samples, comprising:
the ex-warehouse operator executes sample ex-warehouse operation and provides a shelf code for the sample ex-warehouse module;
the face feature of the ex-warehouse operator is identified through the face identification authorization module, and the face feature information is encoded to obtain a face feature code of the face feature information of the ex-warehouse operator;
the face recognition authorization module is used for recognizing and encoding a plurality of face actions of the ex-warehouse operator to obtain head action feature codes, mouth action feature codes and eye action feature codes of a plurality of face action information of the ex-warehouse operator; the plurality of face motion information of the ex-warehouse operator comprises first face motion information and a plurality of second face motion information;
the first face action information of the ex-warehouse operator is sent to the tag reading module through the face recognition authorization module; the tag reading module generates an ex-warehouse authorization code from the authorization code tag according to the first face action information of the ex-warehouse operator;
obtaining a secret key through the combination of the head action feature codes, the mouth action feature codes and the eye action feature codes of a plurality of second face action information of the ex-warehouse operator, wherein the secret key comprises the sequence information of the second face action information, and symmetrically decrypting the ex-warehouse authorization code by using the secret key to obtain the face feature code to be confirmed;
the face feature of the ex-warehouse operator is identified through the face recognition authorization module, the face feature information is encoded, the face feature code of the face feature information of the ex-warehouse operator is obtained, the face feature code is compared with the face feature code to be confirmed, if the similarity is larger than a preset threshold, the authorization is judged to pass, and the sample is transported out of the sample storage module through the sample ex-warehouse module.
Compared with the prior art, the application has the innovative points and beneficial effects that:
1. the electronic memory-free biological sample library is adopted, the biological sample library is not associated with the electronic memory or the non-transient storage medium of the information related to the biological sample input-output storage and the authorization management function, the occurrence of database disclosure is avoided from the source, and the confidentiality of the biological sample library is improved.
2. The biological sample library is designed into the interactive area and the closed area, so that an operator cannot touch the closed area, and meanwhile, authorization information of the biological sample is printed in the closed area and read in the closed area, so that a black box is formed, and the leakage of the authorization information is avoided.
3. The face recognition technology and the encoding technology are integrated, and the face characteristics are encrypted by using the face actions, so that the authorization information is tightly combined with the person. Meanwhile, the face action information is creatively and dynamically distinguished into first face action information and a plurality of second face action information instead of statically, so that the first face action information distinguished for different face actions is different, and the generation of the two-dimensional code label is confused through the first face action information, so that if a closed area is damaged, a divulger can not decode the two-dimensional code label directly. The confusion method is also closely combined with the human face action of the user, so that the confidentiality is further improved.
4. Through the label destroying module, after the biological sample is delivered out of the warehouse, other people cannot decode according to the label on the biological sample.
Drawings
Fig. 1 is a schematic diagram of a face recognition authorization management system for entry and exit of biological samples.
Detailed Description
The application is described in detail below with reference to the attached drawing figures:
as shown in fig. 1, the application provides a face recognition authorization management system for a biological sample in-out warehouse, which comprises a biological sample warehouse without an electronic memory, a face recognition authorization module, a sample in-out warehouse module, a label generating module, a label reading module and a sample storage module.
When a warehousing operator executes sample warehousing operation, the sample warehousing module carries samples into the sample storage module, and feeds corresponding shelf codes back to the warehousing operator, meanwhile, the face recognition authorization module reads face information of the warehousing operator and generates a warehousing authorization code, and the label generation module generates an authorization code label on the samples according to the warehousing authorization code.
When a sample ex-warehouse operator executes sample ex-warehouse operation, a goods shelf code is provided for the sample ex-warehouse module, meanwhile, a face recognition authorization module reads face information of the ex-warehouse operator, a label reading module reads an authorization code label of a sample corresponding to the goods shelf code, if the authorization code label corresponds to the face information of the ex-warehouse operator, the authorization is judged to pass, and the sample is transported out of the sample storage module by the sample ex-warehouse module.
Specifically, an electronic memory-less biological sample library means that the biological sample library does not contain electronic memory. It will be appreciated that to achieve proper functioning of the processors of the modules of the biological sample library, they may include conventional registers, temporary buffers, for performing processing operations. The application is focused on that the biological sample library is not associated with an electronic memory or non-transitory storage medium containing biological sample information, operator information, face recognition information, storage shelf information, etc. of the biological sample library, information related to the access, authorization management functions of the biological sample, such association being that the above-mentioned biological sample library does not contain electronic memory of such information, and/or that the biological sample library is not connected by an electronic memory containing such information.
The electronic memory free biological sample library includes an interactable region and a closed region. The interactive area can be arranged on the wall of the biological sample library, and the face recognition module is arranged in the interactive closed area, so that operators and the biological sample library are allowed to carry out interactive operations such as warehousing and ex-warehouse. The enclosed area is arranged in the enclosed area in the wall of the biological sample library, and only the input-output module is allowed to input or output samples into the enclosed area through a conveyor belt or a mechanical arm and the like, so that an operator cannot access the enclosed area. The label generating module, the label reading module and the sample storage module are arranged in the sealing area.
The sample warehouse-in and warehouse-out module is connected with the interactive area and the closed area and is provided with an input device, a display device, a sample receiving and sending device and a sample transmission device. The input device is used for receiving the goods shelf code information of the ex-warehouse operator, the display device is used for displaying the goods shelf code information, the sample receiving and delivering device is used for receiving samples from the ex-warehouse operator or delivering the samples to the ex-warehouse operator, and the sample transmission device is used for transmitting the samples between the sample receiving and delivering device and the sample storage module.
The sample comprises a sample container and a biological sample contained within the sample container. The sample container may be a test tube or a sample cartridge. The sample container is provided with a blank label, and the label generating module can perform ink-jet, laser or thermal printing on the blank label in an ink-jet, laser or thermal printing mode to form an authorization code label. Or, the sample container is not provided with a blank label, and the label generating module generates an authorization code label and attaches the authorization code label to the sample container. The authorization code label can be a bar code, a two-dimensional code or a text label, and the label reading module reads the authorization code label by reading the bar code, the two-dimensional code or performing text recognition on the text label.
More preferably, the system may further comprise a tag destruction module for destroying the authorization code tag before the sample is transported out of the sample storage module by the sample in-out-in-storage module after the authorization is judged to pass. The tag destroying module can destroy the tag by completely blackening the area of the authorization code tag or other modes. The system can also comprise a consumable replenishing module which is used for replenishing consumable materials such as label paper or ink of the label generating module and the label destroying module, so that an operator can replenish the consumable materials through a specific interface of the consumable replenishing module, and the operator is not in contact with the label generating module, the label destroying module and the sample storage module in the consumable replenishing process, and the consumable replenishing module is not in conflict with the setting of the label generating module and the label destroying module in a closed area.
The sample storage module comprises a plurality of shelves for storing samples, and each shelf corresponds to one shelf code, so that the sample in-out warehouse module can carry samples into or out of the corresponding shelf according to the shelf codes.
The face recognition authorization module is used for recognizing and encoding face information, and can be connected with an external face recognition training model in the prior art, but the training model is a universal model, and cannot contain information related to the biological sample input-output storage and authorization management functions, such as biological sample information, operator information, face recognition information, storage shelf information and the like of the biological sample library. Wherein the face information includes face feature information and a plurality of face motion information. Each face motion information includes head motion information, mouth motion information, and eye motion information.
The face recognition authorization module reads face information of a warehouse-in operator and generates a warehouse-in authorization code, and specifically comprises the following steps:
the face recognition authorization module firstly recognizes the face features of the warehouse-in operators and encodes the face feature information to obtain the face feature codes of the face feature information of the warehouse-in operators. In the prior art, there are various methods for encoding the face feature information, but because the face feature code is finally stored on the label, the encoding method capable of saving storage resources, such as a small number of feature points or a small feature point dimension, is preferred, or the accuracy of feature storage is properly reduced during encoding. Optionally, a general lossless compression algorithm can be used for further compressing the face feature codes, and finally, the face feature codes with proper capacity can be obtained. The selected face feature encoding and compression algorithm can be adaptively selected according to the size of the tag.
And secondly, the face recognition authorization module recognizes and codes a plurality of face movements of the warehousing operator to obtain head movement feature codes, mouth movement feature codes and eye movement feature codes of a plurality of face movement information of the warehousing operator. The face motion can be encoded by using the encoding table of table 1.
Table 1, face motion encoding table
Head motion information Head motion feature code Mouth motion information Mouth motion feature code Eye movement information Eye motion feature code
No action 1 No action 1 No action 1
Turn to the left 2 Duzui 2 Looking to the left 2
Turn to the right 3 Grin tooth exposure 3 Looking to the right 3
Upward lift 4 Tongue with tongue stretching mouth 4 Looking up 4
Downward low 5 Opening mouth to expose throat 5 Looking down 5
The face action information of the warehouse-in operator comprises first face action information and a plurality of second face action information. When the operator performs face recognition authorization, n face actions need to be sequentially performed, wherein n is greater than 2, and preferably 4. The face recognition authorization module sums the head motion feature codes, the mouth motion feature codes and the eye motion feature codes of all face motion information and obtains a remainder for n, if the remainder is m, the m+1th face motion information is set as first face motion information, and the rest face motion information is sequentially set as second face motion information according to the sequence.
The face recognition authorization module obtains a secret key through the combination of the head action feature codes, the mouth action feature codes and the eye action feature codes of a plurality of second face action information of the warehousing operator, the secret key comprises the sequence information of the plurality of second face action information, and the secret key is used for symmetrically encrypting the face feature codes of the warehousing operator to obtain the warehousing authorization code. The key may be constructed by a character string connection method, that is, the head action feature code, the mouth action feature code and the eye action feature code of each second face action information are sequentially connected together.
The label generating module generates an authorization code label on a sample according to the warehousing authorization code, and specifically comprises the following steps:
the face recognition authorization module sends the warehousing authorization code and the first face action information of the warehousing operator to the label generation module; the label generating module generates an authorization code label from the warehousing authorization code according to the first face action information of the warehousing operator.
In an alternative embodiment, the authorization code tag is a QR two-dimensional code, and the tag generation module firstly codes the warehousing authorization code to generate a standard QR code; acquiring a head action feature code a, a mouth action feature code b and an eye action feature code c of first face action information of a warehouse-in operator, judging whether each element position (a+k1×c, b+k2×c) of the QR code belongs to version information, format information, a positioning mark, a correction mark and a timing mark area in the QR code, if not, inverting an element of the element position (namely, changing a dark color '1' into a light color '0', changing a light color '0' into a dark color '1'), wherein the element position (a+k1×c, b+k2×c) represents an element in a row from left to right and a column from top to bottom of a row of a+k1×c, and k1 and k2 are all integers meeting that the element position does not exceed the boundary of the QR code; and generating an authorization code label on the sample according to the processed QR code.
The face recognition authorization module reads face information of a warehouse-out operator, and the tag reading module reads an authorization code tag of a sample corresponding to a shelf code, and specifically comprises the following steps:
the face recognition authorization module firstly recognizes and codes the face features of the ex-warehouse operator to obtain the face feature codes of the face feature information of the ex-warehouse operator, and secondly recognizes and codes a plurality of face actions of the ex-warehouse operator to obtain the head action feature codes, the mouth action feature codes and the eye action feature codes of the face action information of the ex-warehouse operator. The plurality of face motion information of the ex-warehouse operator comprises first face motion information and a plurality of second face motion information.
The face recognition authorization module sends first face action information of the ex-warehouse operator to the tag reading module; the tag reading module generates an outbound authorization code from the authorization code tag according to the first face action information of the outbound operator.
In an alternative embodiment, the authorization code tag is a QR two-dimensional code, and the tag reading module reads the QR code in the authorization code tag first; acquiring a head action feature code a ', a mouth action feature code b ' and an eye action feature code c ' of first face action information of a warehouse-out operator; judging whether each element position (a '+k1×c', b '+k2×c') of the QR code belongs to version information, format information, positioning marks, correction marks, timing mark areas in the QR code, and if not, inverting the element of the element position (i.e., dark color "1" changes to light color "0", light color "0" changes to dark color "1"), the element position (a '+k1×c', b '+k2×c') representing the element of the row position of a '+k1×c' from left to right and the element of the row position of b '+k2×c' from top to bottom, wherein k1, k2 are all integers satisfying that the element position does not exceed the boundary of the QR code; and decoding the QR code to obtain a delivery authorization code according to the processed QR code which is the standard QR code, and sending the delivery authorization code to a face recognition authorization module.
The face recognition authorization module obtains a secret key through the combination of the head action feature codes, the mouth action feature codes and the eye action feature codes of a plurality of second face action information of the ex-warehouse operator, the secret key comprises the sequence information of the plurality of second face action information, and the secret key is used for symmetrically decrypting the ex-warehouse authorization code to obtain the face feature codes to be confirmed. The decryption method and the key construction method correspond to the encryption process.
The face recognition authorization module firstly recognizes the face features of the ex-warehouse operator and encodes the face feature information to obtain the face feature code of the face feature information of the ex-warehouse operator, compares the face feature code with the face feature code to be confirmed, judges that the authorization is passed if the similarity is greater than a preset threshold, and the sample ex-warehouse module conveys the sample out of the sample storage module. The preset threshold value can be adaptively adjusted according to the face feature coding mode and the face feature coding precision. If the face feature codes are compressed, decompression is needed to compare the face feature codes. The comparison mode can be similarity comparison among face feature codes, or can decode the face feature codes into face feature information and then perform similarity comparison, and various face similarity comparison methods exist in the prior art, so that the application is not limited.
The application also provides a biological sample warehouse entry method and a warehouse exit method of the biological sample, which have the same steps as the warehouse entry operation and the warehouse exit operation of the biological sample warehouse entry and exit face recognition authorization management system, and can achieve the same technical effect by utilizing the same working mode and principle as each module of the system.
It should be understood that, in the embodiments of the present application, the steps may be combined arbitrarily, and the execution order and combination of the steps should be determined by the functions and the inherent logic thereof, and should not be construed as limiting the implementation process of the embodiments of the present application.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The above description is only of the preferred embodiments of the present application and is not intended to limit the present application, and various modifications and variations can be made to the embodiments of the present application by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the protection scope of the present application.

Claims (9)

1. The face recognition authorization management system for the in-out warehouse of the biological samples is characterized by comprising a biological sample warehouse without an electronic memory, a face recognition authorization module, a sample in-out warehouse module, a label generation module, a label reading module and a sample storage module;
when a warehousing operator executes sample warehousing operation, a sample warehousing module carries samples into a sample storage module, and feeds corresponding shelf codes back to the warehousing operator, meanwhile, a face recognition authorization module reads face information of the warehousing operator and generates a warehousing authorization code, and a label generation module generates an authorization code label on the samples according to the warehousing authorization code;
when a sample ex-warehouse operator executes sample ex-warehouse operation, a goods shelf code is provided for the sample ex-warehouse module, meanwhile, a face recognition authorization module reads face information of the ex-warehouse operator, a label reading module reads an authorization code label of a sample corresponding to the goods shelf code, if the authorization code label corresponds to the face information of the ex-warehouse operator, the authorization is judged to pass, and the sample is transported out of a sample storage module by the sample ex-warehouse module;
wherein the electronic memory-less biological sample library comprises an interactable area and a closed area; the face recognition module is arranged in the interactive closed area, the tag generation module, the tag reading module and the sample storage module are arranged in the closed area, and the sample access module is connected with the interactive area and the closed area;
the face recognition authorization module is used for recognizing and encoding face information; wherein the face information comprises face feature information and a plurality of face action information; each face motion information comprises head motion information, mouth motion information and eye motion information;
the face recognition authorization module reads face information of a warehouse-in operator and generates a warehouse-in authorization code, and the label generation module generates an authorization code label on a sample according to the warehouse-in authorization code specifically comprises the following steps:
the face recognition authorization module recognizes the face features of the warehouse-in operators and encodes the face feature information to obtain face feature codes of the face feature information of the warehouse-in operators;
the face recognition authorization module recognizes and codes a plurality of face actions of the warehouse-in operator to obtain head action feature codes, mouth action feature codes and eye action feature codes of a plurality of face action information of the warehouse-in operator; the plurality of face motion information of the warehouse-in operator comprises first face motion information and a plurality of second face motion information;
the face recognition authorization module obtains a secret key through the combination of head action feature codes, mouth action feature codes and eye action feature codes of a plurality of second face action information of the warehousing operator, and symmetrically encrypts the face feature codes of the warehousing operator by using the secret key to obtain a warehousing authorization code;
the face recognition authorization module sends the warehousing authorization code and the first face action information of the warehousing operator to the label generation module; the label generating module generates an authorization code label from the warehousing authorization code according to the first face action information of the warehousing operator.
2. The system for face recognition authorization management of biological sample access of claim 1, wherein the sample access module has an input device, a display device, a sample receiving device and a sample transmitting device; the input device is used for receiving the goods shelf code information of the ex-warehouse operator, the display device is used for displaying the goods shelf code information, the sample receiving and delivering device is used for receiving samples from the ex-warehouse operator or delivering the samples to the ex-warehouse operator, and the sample transmission device is used for transmitting the samples between the sample receiving and delivering device and the sample storage module; the sample comprises a sample container and a biological sample contained in the sample container; the sample storage module includes a plurality of shelves for storing samples.
3. The system for face recognition authorization management of biological sample access as recited in claim 1, further comprising a tag destruction module for destroying the authorization code tag after the authorization is determined to pass, before the sample access module transfers the sample out of the sample storage module; the system also comprises a consumable supplementing module for supplementing consumables of the tag generating module and the tag destroying module.
4. The face recognition authorization management system for the biological sample warehouse-in and warehouse-out of claim 1, wherein the number of the plurality of face actions of the operator is n, the face recognition authorization module sums up head action feature codes, mouth action feature codes and eye action feature codes of the n face action information and obtains a remainder for n, if the remainder is m, the m+1th face action information is set as first face action information, and the rest face action information is sequentially set as second face action information.
5. The system for face recognition authorization management of biological sample access as recited in claim 4, wherein the tag generation module generates the authorization code tag from the access authorization code according to the first face motion information of the access operator, specifically comprising:
the authorization code label is a QR two-dimensional code, and the label generation module firstly codes the warehousing authorization code to generate a standard QR code; acquiring a head action feature code a, a mouth action feature code b and an eye action feature code c of first face action information of a warehouse-in operator, judging whether each element position (a+k1×c, b+k2×c) of the QR code belongs to version information, format information, a positioning mark, a correction mark and a timing mark area in the QR code, and if not, inverting the element of the element position, wherein the element position (a+k1×c, b+k2×c) represents an a+k1×c column from left to right in the QR code, the element of a b+k2×c row position from top to bottom, and k1 and k2 are all integers which meet that the element position does not exceed the boundary of the QR code; and generating an authorization code label on the sample according to the processed QR code.
6. The system according to claim 4, wherein the face recognition authorization module reads face information of the ex-warehouse operator, the tag reading module reads an authorization code tag of a sample corresponding to the shelf code, and if the authorization code tag corresponds to the face information of the ex-warehouse operator, the determining authorization comprises:
the face recognition authorization module recognizes the face features of the ex-warehouse operator and encodes the face feature information to obtain a face feature code of the face feature information of the ex-warehouse operator;
the face recognition authorization module recognizes and codes a plurality of face actions of the ex-warehouse operator to obtain head action feature codes, mouth action feature codes and eye action feature codes of a plurality of face action information of the ex-warehouse operator; the plurality of face motion information of the ex-warehouse operator comprises first face motion information and a plurality of second face motion information;
the face recognition authorization module sends first face action information of the ex-warehouse operator to the tag reading module; the tag reading module generates an ex-warehouse authorization code from the authorization code tag according to the first face action information of the ex-warehouse operator;
the face recognition authorization module obtains a secret key through the combination of the head action feature codes, the mouth action feature codes and the eye action feature codes of a plurality of second face action information of the ex-warehouse operator, the secret key comprises the sequence information of the plurality of second face action information, and the secret key is used for symmetrically decrypting the ex-warehouse authorization code to obtain the face feature codes to be confirmed;
the face recognition authorization module compares the face feature codes of the face feature information of the ex-warehouse operator with the face feature codes to be confirmed, and if the similarity is larger than a preset threshold value, the authorization is judged to pass.
7. The system for managing the identification authorization of the coming-in and going-out face of the biological sample according to claim 6, wherein the tag reading module generates the coming-out authorization code by using the authorization code tag according to the first face action information of the coming-out operator, specifically comprises:
the tag reading module firstly reads the QR code in the authorization code tag; acquiring a head action feature code a ', a mouth action feature code b ' and an eye action feature code c ' of first face action information of a warehouse-out operator; judging whether each element position (a '+k1×c', b '+k2×c') of the QR code belongs to version information, format information, positioning marks, correction marks, timing mark areas in the QR code, and if not, inverting the element of the element position, wherein the element position (a '+k1×c', b '+k2×c') represents an element in a left-to-right (a '+k1×c') column and a b '+k2×c' row position from top to bottom, and k1, k2 are all integers satisfying that the element position does not exceed the QR code boundary; and decoding the QR code to obtain a delivery authorization code according to the processed QR code which is the standard QR code, and sending the delivery authorization code to a face recognition authorization module.
8. A method for warehousing a biological sample library of biological samples is characterized by comprising the following steps:
the warehousing operation personnel execute sample warehousing operation, the samples are transported into the sample storage module through the sample warehousing module, and the corresponding goods shelf codes are fed back to the warehousing operation personnel;
the face recognition authorization module is used for recognizing the face features of the warehouse-in operators and encoding the face feature information to obtain face feature codes of the face feature information of the warehouse-in operators;
the face recognition authorization module is used for recognizing and encoding a plurality of face movements of the warehousing operator to obtain head movement feature codes, mouth movement feature codes and eye movement feature codes of a plurality of face movement information of the warehousing operator; the plurality of face motion information of the warehouse-in operator comprises first face motion information and a plurality of second face motion information;
the method comprises the steps of obtaining a secret key through the combination of head action feature codes, mouth action feature codes and eye action feature codes of a plurality of second face action information of a warehousing operator, and symmetrically encrypting the face feature codes of the warehousing operator by using the secret key to obtain a warehousing authorization code;
the face recognition authorization module is used for sending the warehousing authorization code and the first face action information of the warehousing operator to the tag generation module; the label generating module generates an authorization code label from the warehousing authorization code according to the first face action information of the warehousing operator;
the method comprises the steps of summing head action feature codes, mouth action feature codes and eye action feature codes of n face action information, solving a remainder of n, setting the (m+1) th face action information as first face action information if the remainder is m, and sequentially setting the rest face action information as second face action information according to the sequence, wherein the number of the face actions of an operator is n.
9. A biological sample library ex-warehouse method of biological samples stocked using the ex-warehouse method according to claim 8, characterized in that:
the ex-warehouse operator executes sample ex-warehouse operation and provides a shelf code for the sample ex-warehouse module;
the face feature of the ex-warehouse operator is identified through the face identification authorization module, and the face feature information is encoded to obtain a face feature code of the face feature information of the ex-warehouse operator;
the face recognition authorization module is used for recognizing and encoding a plurality of face actions of the ex-warehouse operator to obtain head action feature codes, mouth action feature codes and eye action feature codes of a plurality of face action information of the ex-warehouse operator; the plurality of face motion information of the ex-warehouse operator comprises first face motion information and a plurality of second face motion information;
the first face action information of the ex-warehouse operator is sent to the tag reading module through the face recognition authorization module; the tag reading module generates an ex-warehouse authorization code from the authorization code tag according to the first face action information of the ex-warehouse operator;
obtaining a secret key through the combination of the head action feature codes, the mouth action feature codes and the eye action feature codes of a plurality of second face action information of the ex-warehouse operator, wherein the secret key comprises the sequence information of the second face action information, and symmetrically decrypting the ex-warehouse authorization code by using the secret key to obtain the face feature code to be confirmed;
and comparing the face feature codes of the face feature information of the ex-warehouse operator with the face feature codes to be confirmed through a face recognition authorization module, judging that the authorization is passed if the similarity is greater than a preset threshold, and transporting the sample out of a sample storage module through a sample ex-warehouse module.
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Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2008083535A1 (en) * 2007-01-11 2008-07-17 Shanghai Isvision Technologies Co. Ltd. Method for encrypting/decrypting electronic document based on human face identification
CN109035519A (en) * 2018-07-26 2018-12-18 杭州晟元数据安全技术股份有限公司 A kind of biometric devices and method
WO2020093634A1 (en) * 2018-11-06 2020-05-14 平安科技（深圳）有限公司 Face recognition-based method, device and terminal for adding image, and storage medium
CN111402470A (en) * 2020-02-08 2020-07-10 北京京东尚科信息技术有限公司 Agricultural material management and control system and method thereof
CN111554026A (en) * 2020-05-06 2020-08-18 广东洪心创业服务有限公司 Face recognition system and method based on block chain
CN111967033A (en) * 2020-08-28 2020-11-20 深圳康佳电子科技有限公司 Picture encryption method, device, terminal and storage medium based on face recognition
KR20210069380A (en) * 2019-12-03 2021-06-11 주식회사 포스코아이씨티 Server And System for Face Recognition Using The Certification Result
CN113239371A (en) * 2021-04-29 2021-08-10 广州群志科技股份有限公司 Method for preventing face data from divulging secret
CN113345130A (en) * 2020-02-18 2021-09-03 佛山市云米电器科技有限公司 Control method of intelligent door, intelligent door and computer readable storage medium

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2008083535A1 (en) * 2007-01-11 2008-07-17 Shanghai Isvision Technologies Co. Ltd. Method for encrypting/decrypting electronic document based on human face identification
CN109035519A (en) * 2018-07-26 2018-12-18 杭州晟元数据安全技术股份有限公司 A kind of biometric devices and method
WO2020093634A1 (en) * 2018-11-06 2020-05-14 平安科技（深圳）有限公司 Face recognition-based method, device and terminal for adding image, and storage medium
KR20210069380A (en) * 2019-12-03 2021-06-11 주식회사 포스코아이씨티 Server And System for Face Recognition Using The Certification Result
CN111402470A (en) * 2020-02-08 2020-07-10 北京京东尚科信息技术有限公司 Agricultural material management and control system and method thereof
CN113345130A (en) * 2020-02-18 2021-09-03 佛山市云米电器科技有限公司 Control method of intelligent door, intelligent door and computer readable storage medium
CN111554026A (en) * 2020-05-06 2020-08-18 广东洪心创业服务有限公司 Face recognition system and method based on block chain
CN111967033A (en) * 2020-08-28 2020-11-20 深圳康佳电子科技有限公司 Picture encryption method, device, terminal and storage medium based on face recognition
CN113239371A (en) * 2021-04-29 2021-08-10 广州群志科技股份有限公司 Method for preventing face data from divulging secret

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