CN115795130A - Automatic system based on biological modeling - Google Patents

Abstract

The invention provides an automatic system based on biological modeling, which comprises a biological characteristic database, a biological model generation module, a data matching module, an action track generation module and an action model filling module, wherein the biological characteristic database is used for storing biological characteristic data; the biometric database: establishing a characteristic classification set for the collected biological data, establishing a biological characteristic frame according to the characteristic classification, correspondingly placing the classification set according to the frame, and sending the corresponding biological data in the classification set of the corresponding frame to the biological model generation module when acquiring a control instruction of the biological model generation module; the biological model generation module: after inputting the generated biological code, calling biological data corresponding to the biological code from a biological characteristic database, and giving an alarm if the biological code does not exist in the biological characteristic database; and sending the biological data called from the biological characteristic database to a data matching module for data matching.

Description

Automatic system based on biological modeling

Technical Field

The invention belongs to the field of biological modeling, and particularly relates to an automatic system based on biological modeling.

Background

At present, with the continuous development of human science and technology, the biological feature recognition technology is widely applied. Biometric identification refers to science and technology in which a computer realizes automatic identity authentication by acquiring and analyzing physiological and behavioral characteristics of a human body. Common biometric modalities include fingerprints, irises, faces, palmprints, hand shapes, veins, handwriting, gait, speech, etc. The biological characteristic information of various modes of the human body is mainly distributed on the face (human face and iris) and the hand (fingerprint, palm print, hand shape and vein). Compared with the biological characteristics of hands, the human face and iris characteristics of the human face have the unique advantages of apparent appearance, rich information and non-contact acquisition, and have irreplaceable important roles in medium-distance and long-distance identity recognition and intelligent video monitoring application scenes, so that the human face and iris characteristics are highly concerned by the international academic world, the industrial industry and even government departments. In addition, the gait biometric features have the advantages of being long-distance perceptible, unique in information, easy to secretly capture, high in non-invasive performance, difficult to hide and disguise and the like, and are gradually paid attention by some research institutions.

Through years of development in the biological recognition subject and technical field, highly matched users can be recognized basically and correctly under strictly controlled conditions, but in the process of acquiring the digital biological characteristic information, if the digital biological characteristic information is influenced by physiological changes (such as blinking, squinting, posture, expression, movement and the like) of the internal users and changes (such as illumination, shielding, distance and the like) of external environments (namely the scenes), the performance of biological recognition is reduced rapidly, and the requirements on identity recognition of the users under the complex scene environment cannot be met, so that the subject progress, technical popularization and industrial development of biological recognition are severely restricted.

At present, iris and face recognition technology is rapidly developed, gait biometrics is easier to sense remotely compared with iris and face imaging, and data acquisition can be carried out by generally using cameras existing in the market. Because the gait biological characteristics are greatly influenced by the visual angle of the imaging device, how to arrange a plurality of cameras for multi-visual-angle acquisition directly influences the gait recognition precision.

In addition, the multi-modal biometric identification has unique advantages in the aspects of applicable population range, identification precision, security, anti-counterfeiting and the like compared with the single-modal biometric identification technology, so the research of the multi-modal biometric identification device is a development hotspot in recent years.

However, the existing multi-modal biometric feature acquisition device is mainly oriented to a controlled environment, and has relatively strict limitations on the range and posture of an imaging target and the environmental conditions of an imaging scene, and meanwhile, the existing multi-modal biometric feature imaging device can only acquire information of one person at a time, cannot acquire multi-modal biometric features of a plurality of targets at the same time, and cannot meet the identity recognition requirements of users in a complex imaging scene. At present, the convenient and efficient acquisition of high-quality and multi-modal biological feature data becomes a significant bottleneck for the expansion and spanning of biological recognition disciplines and technical applications from controlled conditions to complex real environments, and the accuracy, robustness, instantaneity and even safety of biological feature recognition are seriously influenced. Thus, there is a need for an automated system based on biological modeling.

Disclosure of Invention

The invention provides an automatic system based on biological modeling, which solves the problems that in the prior art, when automatic judgment and dynamic modeling are carried out after different organisms are modeled, the feature contrast of different organisms is not intelligent enough, errors are easy to occur, and the actions of the biological model after modeling are incomplete.

The technical scheme of the invention is realized as follows: an automatic system based on biological modeling comprises a biological characteristic database, a biological model generation module, a data matching module, an action track generation module and an action model filling module; the biometric database: establishing a characteristic classification set for the collected biological data, establishing a biological characteristic frame according to the characteristic classification, correspondingly placing the classification set according to the frame, and sending the corresponding biological data in the classification set of the corresponding frame to the biological model generation module when acquiring a control instruction of the biological model generation module; the biological model generation module: after inputting the generated biological code, calling biological data corresponding to the biological code from a biological characteristic database, and giving an alarm if the biological code does not exist in the biological characteristic database; sending the biological data called from the biological characteristic database to a data matching module for data matching; the data matching module: comparing and matching the biological data uploaded into the data matching module with the biological data model in the biological model generation module, and sending the biological data model into the action track generation module when the matching rate exceeds a threshold value; when the matching rate is lower than the threshold value, carrying out alarm confirmation, and after the manual confirmation is passed, sending the biological data model to the action track generation module; the action track generation module: receiving a biological data model, forming a movement route according to the biological data model, constructing a movement track according to the movement route, and sending the movement track data to an action model filling module; the action model filling module: and building a skeleton frame model corresponding to the organism on the motion trail according to the biological data model, covering the skeleton frame model, filling the biological action model on the motion trail, and sequentially displaying the filled action model according to time sequence.

At present, in the field of biological modeling, modeling of a single organism is mostly carried out, dynamic model making after modeling is carried out, the dynamic model making is quite common in the professional field, but in some general fields, particularly fine biological categories are not needed to be distinguished, model making and subsequent action model making when modeling are carried out by a large amount of workload are not expected, at the moment, a biological model which can be fast is needed to be classified, existing model data are greatly adopted to be made, automatic operation is carried out by adopting lower precision, manpower can be effectively saved, and the making effect is improved. Construction models and simulation experiments are one of the most common methods for conducting life science research. Its essence is to simulate biological structures and life phenomena. A structural model refers to a model designed or constructed to understand and describe the structure of an object under study. The biological structure illustrations are most common, but most of the illustrations are plane, lack space and physical senses, and the biological illustrations cannot always feel difficult in understanding the positional relationship among structures in the illustrations when describing the structures of organisms.

Further, the biological feature database in step S1 prestores the past biological feature data, classifies the data according to the currently acquired biological data, classifies the data according to domain, boundary, phylum, class, order, family, genus, and species, and retrieves the data according to the classification information when retrieving the data. After rapid classification is carried out according to biology, different creatures can be subdivided in a most refined mode, rapid data matching can be carried out conveniently when data matching is carried out, and complex calculated amount brought by redundant data is removed.

Further, when the biological code information is not inquired, the biological model generation module performs warning and simultaneously selects similar biological information in the biological characteristic database and sends the biological information to the user for confirmation, and after the user confirms, selects the similar biological information with the highest matching rate and sends the similar biological information to the data matching module for data matching. The user can select whether to use the similar model data or not by confirming the data transmission user of the similar creatures.

Further, when the data matching module is used for data matching, the characteristic points of the biological data model are extracted, and the characteristic points are matched with the biological data. Biological data matching is carried out through the characteristic points, and the phenomena that calculation power is lost and the overall modeling efficiency is influenced due to full data comparison are avoided.

After the technical scheme is adopted, the invention has the beneficial effects that: the automatic determination and dynamic modeling can be carried out after different biological modeling, the feature comparison of different organisms is more intelligent and is not easy to make mistakes, the biological model action after modeling is more perfect, different types of the same category can be researched by a plurality of different research groups, the whole database can be enriched, follow-up researchers are facilitated, and a large amount of manpower is saved for calculation and operation.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art 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 block diagram of the system of the present 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, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

Example (b):

as shown in fig. 1, an automated system based on biological modeling includes a biological feature database, a biological model generation module, a data matching module, an action track generation module, and an action model filling module; the biometric database: establishing a characteristic classification set for the collected biological data, establishing a biological characteristic frame according to the characteristic classification, correspondingly placing the classification set according to the frame, and sending the corresponding biological data in the classification set of the corresponding frame to the biological model generation module when acquiring a control instruction of the biological model generation module; the biological model generation module: after inputting the generated biological code, calling biological data corresponding to the biological code from a biological characteristic database, and giving an alarm if the biological code does not exist in the biological characteristic database; sending the biological data called from the biological characteristic database to a data matching module for data matching; the data matching module: comparing and matching the biological data uploaded into the data matching module with the biological data model in the biological model generation module, and sending the biological data model into the action track generation module when the matching rate exceeds a threshold value; when the matching rate is lower than the threshold value, carrying out alarm confirmation, and after the manual confirmation is passed, sending the biological data model to the action track generation module; the action track generation module: receiving a biological data model, forming a movement route according to the biological data model, constructing a movement track according to the movement route, and sending the movement track data to an action model filling module; the action model filling module: and building a skeleton frame model corresponding to the organism on the motion trail according to the biological data model, covering the skeleton frame model, filling the biological action model on the motion trail, and sequentially displaying the filled action model according to time sequence.

The most important biological characteristics of the application document are the database, the database is continuously iterated and supplemented, biological data in the database can be continuously expanded, sorting and classification can be conveniently carried out when reading is carried out later, and direct data calling can be carried out.

The biological feature database in the step S1 prestores the past biological feature data, classifies the biological data according to the currently acquired biological data, classifies the biological data according to domain, boundary, phylum, class, order, family, genus and species, and retrieves the data according to the classification information when retrieving the biological data.

When the biological code information is not inquired, the biological model generation module gives an alarm and selects the similar biological information in the biological characteristic database to send to the user for confirmation, and after the user confirms, selects the similar biological information with the highest matching rate to send to the data matching module for data matching.

When the data matching module is used for matching data, the characteristic points of the biological data model are extracted, and the characteristic points are matched with the biological data.

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 (4)

1. An automatic system based on biological modeling is characterized by comprising a biological characteristic database, a biological model generation module, a data matching module, an action track generation module and an action model filling module;

the biometric database: establishing a characteristic classification set for the collected biological data, establishing a biological characteristic frame according to the characteristic classification, correspondingly placing the classification set according to the frame, and sending the corresponding biological data in the classification set of the corresponding frame to the biological model generation module when acquiring a control instruction of the biological model generation module;

the biological model generation module: after inputting the generated biological code, calling biological data corresponding to the biological code from a biological characteristic database, and giving an alarm if the biological code does not exist in the biological characteristic database; sending the biological data called from the biological characteristic database to a data matching module for data matching;

the data matching module: comparing and matching the biological data uploaded into the data matching module with the biological data model in the biological model generation module, and sending the biological data model into the action track generation module when the matching rate exceeds a threshold value; when the matching rate is lower than the threshold value, carrying out alarm confirmation, and after the manual confirmation is passed, sending the biological data model to the action track generation module;

the action track generation module: receiving a biological data model, forming a movement route according to the biological data model, constructing a movement track according to the movement route, and sending the movement track data to an action model filling module;

the action model filling module: and building a skeleton frame model corresponding to the creatures on the motion trail according to the biological data model, covering the skeleton frame model, filling the biological action model on the motion trail, and sequentially displaying the filled action model according to the time sequence.

2. An automated biological modeling-based system according to claim 1, wherein: the biological feature database in the step S1 prestores the past biological feature data, classifies the biological data according to the currently acquired biological data, classifies the biological data according to domain, boundary, phylum, class, order, family, genus and species, and retrieves the data according to the classification information when retrieving the biological data.

3. An automated biological modeling-based system according to claim 2, wherein: when the biological code information is not inquired, the biological model generation module gives an alarm and selects the similar biological information in the biological characteristic database to send to the user for confirmation, and after the user confirms, selects the similar biological information with the highest matching rate to send to the data matching module for data matching.

4. An automated biological modeling-based system according to claim 1, wherein: when the data matching module is used for matching data, the characteristic points of the biological data model are extracted, and the characteristic points are matched with the biological data.

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