CN114661657A - Material evidence management method and device, computer equipment and storage medium - Google Patents
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Abstract
The embodiment of the invention discloses a material evidence management method, a material evidence management device, computer equipment and a storage medium. The method comprises the following steps: 3D scanning is carried out on the submitted physical evidence to obtain a physical evidence model; filing and storing the material evidence model; generating an identity identification number according to the material evidence model; and performing uplink storage on the material evidence model and the corresponding identity identification number. By implementing the method provided by the embodiment of the invention, the data standard keeping of the physical evidence can be realized, the identification efficiency is improved, and the damage is not easy to damage.
Description
Technical Field
The invention relates to a material evidence management method, in particular to a material evidence management method, a material evidence management device, computer equipment and a storage medium.
Background
In the court case trial process, a court can accumulate a large number of entities such as material evidence and written witnesses, the court system mainly manages the material evidence in an offline manner, and along with the annual increase of the intellectual property cases, compared with common civil cases, the intellectual property cases, particularly cases infringing patent rights, trademark rights and the like, often have a large number of physical evidences. In judicial practice, the physical evidence is mainly kept by a court, but due to the lack of legal regulations on returning the physical evidence to parties or destroying the physical evidence, the relevant physical evidence can still be stored in a physical evidence warehouse of the court even if the case is settled. The physical evidence warehouse is easily full of materials and suffers from diseases after the years. In addition, a part of material evidence management system adopts the traditional paper sticking strip to carry out material evidence management; the paper sticker has the problems of short service life, easy damage, low recognition efficiency and the like, is easy to damage due to various reasons, and brings trouble to the judgment.
Therefore, it is necessary to design a new method to realize the standardized storage of the data of the physical evidence, improve the recognition efficiency and prevent damage.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provides a material evidence management method, a material evidence management device, computer equipment and a storage medium.
In order to achieve the purpose, the invention adopts the following technical scheme: the material evidence management method comprises the following steps:
3D scanning is carried out on the submitted physical evidence to obtain a physical evidence model;
filing and storing the material evidence model;
generating an identity identification number according to the material evidence model;
and performing uplink storage on the material evidence model and the corresponding identity identification number.
The further technical scheme is as follows: the step of performing 3D scanning on the submitted physical evidence to obtain a physical evidence model includes:
recording the overall appearance of the submitted physical evidence by adopting a laser radar detection technology and a three-dimensional visual algorithm to obtain scanning data;
and constructing a 3D model according to the scanning data to obtain a material evidence model.
The further technical scheme is as follows: will material evidence model and corresponding ID number carry out cochain and deposit the card, include:
and adding the material evidence model and the corresponding identity identification number into a block chain to carry out chain loading and evidence storage.
The further technical scheme is as follows: after the material evidence model and the corresponding identity identification number are subjected to cochain evidence storage, the method further comprises the following steps:
acquiring a physical evidence identity identification number and a right picture to be compared;
calling a corresponding material evidence model according to the identity identification number of the material evidence to be compared so as to obtain the material evidence model to be compared;
and comparing the right picture and the material evidence model to be compared by adopting an AI algorithm to obtain a comparison result.
The further technical scheme is as follows: after the right picture and the material evidence model to be compared are compared by adopting an AI algorithm to obtain a comparison result, the method further comprises the following steps:
and sending the comparison result to the terminal to acquire the terminal marking information.
The invention also provides a material evidence management device, comprising:
the 3D scanning unit is used for carrying out 3D scanning on the submitted physical evidence to obtain a physical evidence model;
the archiving unit is used for archiving and storing the material evidence model;
the identification number generating unit is used for generating an identity identification number according to the material evidence model;
and the cochain evidence storing unit is used for cochain evidence storage of the material evidence model and the corresponding identity identification number.
The further technical scheme is as follows: the 3D scanning unit includes:
the overall record subunit is used for recording the overall appearance of the submitted physical evidence by adopting a laser radar detection technology and a three-dimensional visual algorithm so as to obtain scanning data;
and the model construction subunit is used for constructing a 3D model according to the scanning data so as to obtain the material evidence model.
The further technical scheme is as follows: and the uplink certificate storing unit is used for adding the material evidence model and the corresponding identity identification number into the block chain so as to carry out uplink certificate storage.
The invention also provides computer equipment which comprises a memory and a processor, wherein the memory is stored with a computer program, and the processor realizes the method when executing the computer program.
The invention also provides a storage medium storing a computer program which, when executed by a processor, implements the method described above.
Compared with the prior art, the invention has the beneficial effects that: according to the invention, the submitted physical evidence is subjected to 3D scanning to form a 3D physical evidence model, the physical evidence model is classified and stored, the identity identification number is generated to play a role in identification, the physical evidence model and the identity identification number are subjected to chain loading and storage, the physical evidence is prevented from being tampered, the 3D model is easier to identify, the data standard storage of the physical evidence is realized, the identification efficiency is improved, and the physical evidence is difficult to damage.
The invention is further described below with reference to the figures and the specific embodiments.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic view of an application scenario of a material evidence management method according to an embodiment of the present invention;
fig. 2 is a schematic flowchart of a material evidence management method according to an embodiment of the present invention;
FIG. 3 is a sub-flowchart of a material evidence management method according to an embodiment of the present invention;
FIG. 4 is a flowchart illustrating a material evidence management method according to another embodiment of the present invention;
FIG. 5 is a schematic block diagram of a physical evidence management apparatus provided by an embodiment of the present invention;
FIG. 6 is a schematic block diagram of a 3D scanning unit of a physical evidence management apparatus provided by an embodiment of the present invention;
FIG. 7 is a schematic block diagram of a physical evidence management apparatus provided by another embodiment of the present invention;
FIG. 8 is a schematic block diagram of a computer device provided by an embodiment 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 some, but not all, embodiments of the present invention. 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.
It will be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It is also to be understood that the terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in the specification of the present invention and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should be further understood that the term "and/or" as used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.
Referring to fig. 1 and fig. 2, fig. 1 is a schematic view of an application scenario of a material evidence management method according to an embodiment of the present invention. Fig. 2 is a schematic flowchart of a material evidence management method according to an embodiment of the present invention. The material evidence management method is applied to a server. The server performs data interaction with the 3D scanner and the terminal, wherein the terminal comprises a terminal held by a judge and a terminal held by a party, the physical evidence is scanned by the 3D scanner to generate a physical evidence model of the 3D model, and the server performs filing and evidence saving on the physical evidence model, generates a unique identification number and performs uplink evidence saving.
Fig. 2 is a schematic flowchart of a material evidence management method according to an embodiment of the present invention. As shown in fig. 2, the method includes the following steps S110 to S140.
And S110, performing 3D scanning on the submitted physical evidence to obtain a physical evidence model.
In this embodiment, the physical evidence model refers to a uniform 3D model obtained by scanning the actual physical evidence.
In an embodiment, referring to fig. 3, the step S110 may include steps S111 to S112.
And S111, recording the overall appearance of the submitted material evidence by adopting a laser radar detection technology and a three-dimensional vision algorithm to obtain scanning data.
In the present embodiment, the scan data refers to data used for constructing a 3D model, and includes parameters such as length, width, and the like.
And S112, constructing a 3D model according to the scanning data to obtain a material evidence model.
The physical evidence appearance is recorded by applying a structured light technology, a laser detection technology and a three-dimensional visual algorithm, second-level data acquisition is realized, millimeter-level size is accurately measured, the target of complete three-dimensional acquisition of physical evidence data is realized, and finally, the most intuitive VR high-definition display model is presented through high-precision model reconstruction.
Specifically, in this embodiment, except traditional image shooting collection mode, use handheld 3D scanner to the physical evidence that the structure is complicated, use laser radar detection technique, three-dimensional visual algorithm record material evidence appearance complete picture. Second-level data acquisition is realized, the three-dimensional size of the material evidence is accurately measured, and the aim of completely acquiring material evidence data is fulfilled. And finally, a most intuitive VR high-definition display model is presented through high-precision model reconstruction.
In one embodiment, for the submitted physical evidence, due to untimely scanning, damage may occur, and some defective places exist after 3D scanning, at this time, a related description file of the physical evidence is obtained, key field extraction is performed on the related description file, parameters of a defective part are obtained from the key field, and a physical evidence model is perfected according to the parameters; specifically, the process of extracting the key fields comprises the steps of identifying the meanings of all the fields of the related description files by adopting an OCR character recognition technology, wherein images of material evidence are generally attached to the related description files, and at the moment, the images are analyzed by adopting a trained deep learning model to extract the related parameters of the material evidence in the images, so that the parameters of the defect part can be formed by combining the parameters of character extraction and the parameters of image extraction; thereby ensuring the integrity of the evidence model.
And S120, filing and storing the material evidence model.
In this embodiment, after the material evidence model is acquired, the material evidence model needs to be archived and stored, so as to facilitate subsequent retrieval.
And S130, generating an identity identification number according to the material evidence model.
In this embodiment, the identification number refers to a two-dimensional code representing the identity of the physical evidence model. The two-dimensional code carries relevant information of the material evidence model, including model generation time, important parameters of the model, case information relevant to the model and the like.
And S140, performing uplink card storage on the material evidence model and the corresponding identity identification number.
In this embodiment, the physical evidence model and the corresponding id number are added to the block chain to perform uplink evidence storage.
The purpose of uploading the evidence is to share a material evidence model to a judicial blockchain, and the introduction of the blockchain technology can effectively avoid the risk of tampering electronic data. The platform utilizes the block chain distributed account book technology, so that the physical evidence data cannot be changed after entering the platform, the evidence is thoroughly fixed, and a judge can be relieved to return the physical evidence to a party for storage.
In addition, different storage modes are proposed for different material evidences: most material evidences are directly signed by a provider on site on line in a promissory book, and after the evidence is stored, the original material is returned to the party for self storage; keeping the special material evidence from the court to the end of case management, and continuously returning to the provider for keeping after data acquisition; and uniformly destroying commodities which have no judging requirement and are fake and inferior.
The centralized management of the whole province is realized for the material evidence stored in the storeroom, especially the civil material evidence, and the waste of the 100+ material evidence storeroom of the whole province is avoided. Realizing the purpose of leading the dispersion pipe below the line to the concentration pipe below the line. And the link of the object and the online data is realized through the scanning gun. And the system is cooperated with an intelligent logistics service provider to realize the inter-day or in-day retrieval of provincial material evidence. And the online and offline intensive management is realized, the physical evidence is subjected to data storage through a modern data acquisition technology, and the physical evidence is subjected to online data storage. The offline courtyard evidence warehouse is independently managed to the provincial centralized warehouse management from the dispersion, and the linkage of objects and online data is realized through a scanning gun. And (4) getting through the service interface of the logistics service provider to realize the retrieval of the provincial material evidence on the current day or every other day.
The data after chaining can be generated into an access link and automatically led into an examination system, so that the data can be conveniently retrieved and checked by contractors at any time. And the notarization department system is linked to guide the notarization department to actively participate in data standard storage work, and the 3D scanner is used for storing material evidence data in advance. Access public security case handling system, to criminal case, public security is direct to upload cochain with the material evidence 3D scanning collection of gathering, and inspection institute, court can directly acquire material evidence data, further simplify the case handling flow. The material evidence model can be used for the contractor to read and check at any time, and simultaneously cooperates with social judicial resources, the material evidence is scanned by the material evidence management platform through the public evidence department through the external network terminal, and the material evidence data directly reach the court through the data interaction of the internal network and the external network.
Foretell material evidence management method carries out 3D scanning through the material evidence to handing over to form 3D's material evidence model, attributes the material evidence model and deposit the card, and generate the identification number, play the identification effect, carry out the cochain with material evidence model and identification number and deposit the card, avoid appearing the falsifying of material evidence, and the 3D model is discerned more easily, realizes keeping the datamation standard of material evidence, improvement recognition efficiency and not fragile.
Fig. 4 is a schematic flowchart of a physical evidence management method according to another embodiment of the invention. As shown in fig. 4, the physical evidence management method of the present embodiment includes steps S210 to S280. Steps S210 to S240 are similar to steps S110 to S140 in the above embodiments, and are not described herein again. The added steps S260-S280 in this embodiment are described in detail below.
And S250, acquiring the identity identification number of the material evidence to be compared and the right picture.
In this embodiment, the right picture refers to a picture of an object that needs to be infringed.
And S260, calling a corresponding material evidence model according to the identity identification number of the material evidence to be compared so as to obtain the material evidence model to be compared.
In this embodiment, the physical evidence model to be compared refers to a physical evidence model corresponding to the identification number of the physical evidence to be compared.
S270, comparing the right picture with the evidence model to be compared by adopting an AI algorithm to obtain a comparison result.
In this embodiment, the comparison result refers to information such as the similarity between the rights picture and the evidence model to be compared.
In particular, some parts of an image may contain more information than other parts, such as edges, corners. Therefore, some algorithms can be used to extract the key point information of the images for comparison. SIFT, ORB, SURF, GIST are all such algorithms for extracting keypoint information. The algorithms are adopted to extract key point information of the right picture and key point information of the material evidence model to be compared, the two pieces of information are compared, and if the two pieces of information are consistent, the key points corresponding to the consistent information are used as comparison results.
Of course, in other embodiments, a hash algorithm may be used to process the key points, so as to compare the rights picture with the key points of the evidence model to be compared.
And S280, sending the comparison result to the terminal to obtain the terminal labeling information.
The right picture and the infringement material evidence are automatically searched according to the big data characteristics through the AI technology, infringement comparison is carried out, and by combining the comparison result, a judge carries out evidence checking and verification in advance through a terminal, so that the limitation that the material evidence can only be checked in a court is broken through, and the final result is manually compared through the judge, so that the AI technology is trained.
Specifically, training of a residual error network layer path is introduced through a convolutional neural network algorithm, so that the algorithm can analyze photos of infringing articles, identify attributes such as classification and material, automatically compare the identified contents with a brand database, retrieve related property models, enable parties to take right account numbers distributed by a court, and enable material evidence to be marked and compared before opening a court; the judge compares the brand model with the infringing article manually by using a comparison tool provided by the system, such as model two-point distance measurement, multi-point circle area volume, length-width ratio, radian, multi-view pictures and the like, and is used for comparing and marking in advance; and a two-dimensional code is generated for the material evidence, so that the judge and the party can conveniently view the material evidence on the mobile equipment. The traditional mode does not need to frequently initiate actions such as regulation, evidence collection, evidence storage and the like; in court trial, a judge can directly examine according to multiple rounds of comparison opinions, thereby greatly shortening the time of division and prompting the division efficiency; the capabilities of the AI may also be trained based on the final results.
In court trial, a judge can directly examine according to multiple rounds of comparison opinions, thereby greatly shortening the time of division and prompting the division efficiency. And training the AI capability according to the final trial result.
In one embodiment, when the material evidence model is subjected to filing and evidence storage, the material evidence model is mainly stored in a database, and when infringement comparison is performed, the material evidence model can be applied to fine comparison, source tracing treatment and brand database construction of infringement products in the intellectual property field, and whether infringement exists or not can be objectively and effectively judged by comparing the material evidence with the database data; specifically, an intellectual property database is built by combining numerous brands, scanning modeling is carried out through multi-party system linkage, an original model of a property party is uploaded to a material evidence database after being chained, the original model is subjected to element formation, factors such as brands, models, sizes, shapes, materials, colors and the like are identified and stored, retrieval is facilitated, corresponding factors can be identified by adopting a trained machine learning technology, classified storage is carried out, spatial characteristic values of the original model are extracted, and mapping distances, normal directions and area parts of the model in a series of concentric sphere are calculated, so that harmonic coefficients are extracted as characteristic vectors and can be used for matching the geometric similarity of different models; when the big data retrieval of the infringing product is carried out, the big data retrieval of the infringing product in the intellectual property field firstly requests to be compared with a brand database if the infringing product possibly relates to the intellectual property field infringing product; carrying out similarity analysis on the infringing product and the designated product, including geometric body comparison, size comparison, material comparison, color comparison and the like, finally obtaining similarity data, and assisting a judge to judge whether the infringing is carried out or not; the final result can be presented on a material evidence data large screen to monitor infringement high-frequency places, high-frequency infringement trademarks, patents and the like. Based on a big data retrieval technology, material evidence 3D classification and material evidence retrieval are realized, and high-efficiency intelligent application of material evidence retrieval is realized; comparing and checking; and can monitor infringement high-speed places, high-frequency infringement trademarks, patents and the like by using a material evidence data large screen.
Fig. 5 is a schematic block diagram of a material evidence management device 300 according to an embodiment of the present invention. As shown in fig. 5, the present invention also provides a physical evidence management device 300 corresponding to the above physical evidence management method. The physical evidence management apparatus 300 includes a unit for performing the above-described physical evidence management method, and the apparatus may be configured in a server. Specifically, referring to fig. 5, the physical evidence management apparatus 300 includes a 3D scanning unit 301, an archiving unit 302, an identification number generating unit 303, and a uplink evidence storing unit 304.
The 3D scanning unit 301 is configured to perform 3D scanning on the submitted physical evidence to obtain a physical evidence model; the archiving unit 302 is configured to archive the material evidence model and store evidence; an identification number generating unit 303, configured to generate an identity identification number according to the physical evidence model; and an uplink evidence storing unit 304, configured to perform uplink evidence storage on the physical evidence model and the corresponding identity identifier.
In one embodiment, as shown in fig. 6, the 3D scanning unit 301 includes a full-view recording subunit 3011 and a model building subunit 3012.
The overall record subunit 3011 is configured to record an overall appearance of the submitted physical evidence by using a laser radar detection technology and a three-dimensional visual algorithm to obtain scan data; and the model constructing subunit 3012 is configured to construct a 3D model according to the scanning data to obtain a material evidence model.
In an embodiment, the uplink evidence storing unit 304 is configured to add the physical evidence model and the corresponding id number into a block chain for uplink evidence storage.
Fig. 7 is a schematic block diagram of a material evidence management device 300 according to another embodiment of the present invention. As shown in fig. 7, the material evidence management apparatus 300 of the present embodiment is the above embodiment, and is added with a picture acquisition unit 305, a model retrieving unit 306, a comparison unit 307 and a sending unit 308.
A picture obtaining unit 305, configured to obtain a physical evidence identification number and a rights picture to be compared; the model calling unit 306 is configured to call a corresponding physical evidence model according to the physical evidence identity number to be compared, so as to obtain a physical evidence model to be compared; a comparing unit 307, configured to compare the rights picture and the evidence model to be compared by using an AI algorithm to obtain a comparison result. A sending unit 308, configured to send the comparison result to the terminal, so as to obtain the terminal labeling information.
It should be noted that, as can be clearly understood by those skilled in the art, the comparison result is sent to the terminal to obtain the terminal label information. For the specific implementation processes of the apparatus and each unit, reference may be made to the corresponding descriptions in the foregoing method embodiments, and for convenience and brevity of description, no further description is provided herein.
The physical evidence management apparatus 300 described above may be implemented in the form of a computer program that can be run on a computer device as shown in fig. 8.
Referring to fig. 8, fig. 8 is a schematic block diagram of a computer device according to an embodiment of the present application. The computer device 500 may be a server, wherein the server may be an independent server or a server cluster composed of a plurality of servers.
Referring to fig. 8, the computer device 500 includes a processor 502, memory, and a network interface 505 connected by a system bus 501, where the memory may include a non-volatile storage medium 503 and an internal memory 504.
The non-volatile storage medium 503 may store an operating system 5031 and a computer program 5032. The computer programs 5032 include program instructions that, when executed, cause the processor 502 to perform a physical evidence management method.
The processor 502 is used to provide computing and control capabilities to support the operation of the overall computer device 500.
The internal memory 504 provides an environment for the operation of the computer program 5032 in the non-volatile storage medium 503, and when the computer program 5032 is executed by the processor 502, the processor 502 can be caused to perform a physical evidence management method.
The network interface 505 is used for network communication with other devices. Those skilled in the art will appreciate that the configuration shown in fig. 8 is a block diagram of only a portion of the configuration relevant to the present teachings and does not constitute a limitation on the computer device 500 to which the present teachings may be applied, and that a particular computer device 500 may include more or less components than those shown, or combine certain components, or have a different arrangement of components.
Wherein the processor 502 is configured to run the computer program 5032 stored in the memory to implement the following steps:
3D scanning is carried out on the submitted physical evidence to obtain a physical evidence model; filing and storing the material evidence model; generating an identity identification number according to the material evidence model; and performing uplink storage on the material evidence model and the corresponding identity identification number.
In an embodiment, when the processor 502 implements the step of performing 3D scanning on the handed-up physical evidence to obtain a physical evidence model, the following steps are specifically implemented:
recording the overall appearance of the submitted material evidence by adopting a laser radar detection technology and a three-dimensional visual algorithm to obtain scanning data; and constructing a 3D model according to the scanning data to obtain a material evidence model.
In an embodiment, when the processor 502 performs the step of storing the physical evidence model and the corresponding id number for uplink, the following steps are specifically performed:
and adding the material evidence model and the corresponding identity identification number into the block chain so as to carry out chain loading and evidence storage.
In an embodiment, after the step of performing the uplink storage on the physical evidence model and the corresponding id number, the processor 502 further performs the following steps:
acquiring a physical evidence identity identification number and a right picture to be compared; calling a corresponding material evidence model according to the identity identification number of the material evidence to be compared so as to obtain the material evidence model to be compared; and comparing the right picture and the material evidence model to be compared by adopting an AI algorithm to obtain a comparison result.
In an embodiment, after the step of comparing the rights picture with the to-be-compared physical evidence model by using the AI algorithm to obtain the comparison result is implemented by the processor 502, the following steps are further implemented:
and sending the comparison result to the terminal to acquire the terminal labeling information.
It should be understood that in the embodiment of the present Application, the Processor 502 may be a Central Processing Unit (CPU), and the Processor 502 may also be other general-purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components, and the like. Wherein a general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
It will be understood by those skilled in the art that all or part of the flow of the method implementing the above embodiments may be implemented by a computer program instructing relevant hardware. The computer program includes program instructions, and the computer program may be stored in a storage medium, which is a computer-readable storage medium. The program instructions are executed by at least one processor in the computer system to implement the flow steps of the embodiments of the method described above.
Accordingly, the present invention also provides a storage medium. The storage medium may be a computer-readable storage medium. The storage medium stores a computer program, wherein the computer program, when executed by a processor, causes the processor to perform the steps of:
3D scanning is carried out on the submitted physical evidence to obtain a physical evidence model; filing and storing the material evidence model; generating an identity identification number according to the material evidence model; and performing uplink storage on the material evidence model and the corresponding identity identification number.
In an embodiment, when the processor executes the computer program to implement the step of performing 3D scanning on the handed-up physical evidence to obtain a physical evidence model, the following steps are specifically implemented:
recording the overall appearance of the submitted physical evidence by adopting a laser radar detection technology and a three-dimensional visual algorithm to obtain scanning data; and constructing a 3D model according to the scanning data to obtain a material evidence model.
In an embodiment, when the processor executes the computer program to perform the step of storing the physical evidence model and the corresponding identification number in the uplink, the following steps are specifically implemented:
and adding the material evidence model and the corresponding identity identification number into the block chain so as to carry out chain loading and evidence storage.
In an embodiment, after the step of performing the uplink storage on the physical evidence model and the corresponding identification number is implemented by the processor executing the computer program, the following steps are further implemented:
acquiring a physical evidence identity identification number and a right picture to be compared; calling a corresponding material evidence model according to the identity identification number of the material evidence to be compared so as to obtain the material evidence model to be compared; and comparing the right picture and the material evidence model to be compared by adopting an AI algorithm to obtain a comparison result.
In an embodiment, after the step of executing the computer program to compare the rights picture with the to-be-compared physical evidence model by using the AI algorithm to obtain the comparison result, the processor further implements the following steps:
and sending the comparison result to the terminal to acquire the terminal labeling information.
The storage medium may be a usb disk, a removable hard disk, a Read-Only Memory (ROM), a magnetic disk, or an optical disk, which can store various computer readable storage media.
Those of ordinary skill in the art will appreciate that the elements and algorithm steps of the examples described in connection with the embodiments disclosed herein may be embodied in electronic hardware, computer software, or combinations of both, and that the components and steps of the examples have been described in a functional general in the foregoing description for the purpose of illustrating clearly the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the technical solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative. For example, the division of each unit is only one logic function division, and there may be another division manner in actual implementation. For example, various elements or components may be combined or may be integrated into another system, or some features may be omitted, or not implemented.
The steps in the method of the embodiment of the invention can be sequentially adjusted, combined and deleted according to actual needs. The units in the device of the embodiment of the invention can be merged, divided and deleted according to actual needs. In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a storage medium. Based on such understanding, the technical solution of the present invention essentially or partially contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a terminal, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention.
While the invention has been described with reference to specific embodiments, the invention is not limited thereto, and various equivalent modifications and substitutions can be easily made by those skilled in the art within the technical scope of the invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. The material evidence management method is characterized by comprising the following steps:
3D scanning is carried out on the submitted physical evidence to obtain a physical evidence model;
filing and storing the material evidence model;
generating an identity identification number according to the material evidence model;
and carrying out chain loading and card storage on the material evidence model and the corresponding identity identification number.
2. The physical evidence management method of claim 1, wherein the 3D scanning of the handed-up physical evidence to obtain a physical evidence model comprises:
recording the overall appearance of the submitted material evidence by adopting a laser radar detection technology and a three-dimensional visual algorithm to obtain scanning data;
and constructing a 3D model according to the scanning data to obtain a material evidence model.
3. The physical evidence management method of claim 1, wherein the step of performing uplink storage of the physical evidence model and the corresponding id number comprises:
and adding the material evidence model and the corresponding identity identification number into a block chain to carry out chain loading and evidence storage.
4. The physical evidence management method of claim 3, wherein after the physical evidence model and the corresponding identification number are stored on the chain, the method further comprises:
acquiring a physical evidence identity identification number and a right picture to be compared;
calling a corresponding material evidence model according to the identity identification number of the material evidence to be compared so as to obtain the material evidence model to be compared;
and comparing the right picture and the material evidence model to be compared by adopting an AI algorithm to obtain a comparison result.
5. The physical evidence management method according to claim 4, wherein after comparing the rights picture with the physical evidence model to be compared by using the AI algorithm to obtain a comparison result, the method further comprises:
and sending the comparison result to the terminal to acquire the terminal labeling information.
6. Material evidence management device, its characterized in that includes:
the 3D scanning unit is used for carrying out 3D scanning on the submitted physical evidence to obtain a physical evidence model;
the archiving unit is used for archiving and storing the material evidence model;
the identification number generating unit is used for generating an identity identification number according to the material evidence model;
and the cochain evidence storing unit is used for cochain evidence storage of the material evidence model and the corresponding identity identification number.
7. The physical evidence management apparatus of claim 6, wherein the 3D scanning unit comprises:
the overall record subunit is used for recording the overall appearance of the submitted physical evidence by adopting a laser radar detection technology and a three-dimensional visual algorithm so as to obtain scanning data;
and the model construction subunit is used for constructing a 3D model according to the scanning data so as to obtain the material evidence model.
8. The physical evidence management apparatus of claim 6, wherein the uplink evidence storing unit is configured to add the physical evidence model and the corresponding id number into a block chain for uplink evidence storage.
9. A computer arrangement, characterized in that the computer arrangement comprises a memory having stored thereon a computer program and a processor implementing the method according to any of claims 1-5 when executing the computer program.
10. A storage medium, characterized in that the storage medium stores a computer program which, when executed by a processor, implements the method according to any one of claims 1 to 5.
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