CN111325523A - Legal assistance qualification determination management system and method - Google Patents

Legal assistance qualification determination management system and method Download PDF

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CN111325523A
CN111325523A CN202010132205.0A CN202010132205A CN111325523A CN 111325523 A CN111325523 A CN 111325523A CN 202010132205 A CN202010132205 A CN 202010132205A CN 111325523 A CN111325523 A CN 111325523A
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吴怡
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Chongqing Best Daniel Robot Co ltd
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    • G06V40/16Human faces, e.g. facial parts, sketches or expressions
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    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/18Eye characteristics, e.g. of the iris

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Abstract

The invention relates to the technical field of computers, in particular to a legal assistance qualification certification management system and a method, which comprises the following steps: s1, collecting the light reflection information of the user; s2, judging whether the user is blind, and inputting application materials through voice; s3, if the application material is not complete, the application material is supplemented; s4, generating an analysis report according to the application materials; s5, judging whether the generated analysis report is abnormal; s6, if the analysis report is abnormal, returning to the step S2 and modifying the application material; if the analysis report is normal, determining whether the user qualifies for legal assistance based on the analysis report. The method and the system can quickly judge whether the user is a special group or not, specifically prompt to input the application material according to the characteristics of the special group, efficiently check whether the user meets the legal assistance condition or not according to the application material, and facilitate the special group to obtain legal services.

Description

Legal assistance qualification determination management system and method
Technical Field
The invention relates to the technical field of computers, in particular to a legal assistance qualification determination management system and a legal assistance qualification determination management method.
Background
The legal aid is a social public service for supporting the poverty and guaranteeing the legal rights and interests of the social vulnerable group. In order to facilitate people to apply for legal assistance, governments all over the world are provided with service systems related to the legal assistance, and some legal intelligent service robots are even provided.
As for the objects of legal assistance, the laws and regulations in China make clear and detailed regulations. As with a loan to a bank, the bank will conduct detailed credit investigation on the applicant based on the applicant's personal materials; a risk report is then presented, and a determination is made as to whether to approve the loan based on the risk report. Document CN110334107A discloses a qualification review method, device and server based on data analysis, wherein the method is applied to the field of data analysis, and includes: receiving a qualification request uploaded by a user, detecting whether identity data in the qualification request is matched with reference identity data stored in a preset identity information database or not, if not, searching target qualification data corresponding to the identity data in the preset qualification information database, calculating the similarity between the reference qualification data and the target qualification data in the qualification request, and if the calculated similarity is greater than the preset similarity, carrying out qualification evaluation on the user by a server according to the reference qualification data to obtain a qualification result. By implementing the method, when the qualification evaluation request is received, if the identity data of the user is stored in the preset database, the evaluation result can be directly obtained, and the evaluation efficiency is improved.
Although the intelligent legal service robot is gradually configured in each stage of government in China, the intelligent legal service robot is convenient for people who need legal service, and meanwhile, the problems that the efficiency of one-by-one examination of workers is low and the time for the applicant to wait for the examination result is long are solved. However, there are also some special groups in society that require legal assistance, such as poor eyesight, communication difficulties, or reminding difficulties. They have complicated handling procedures and cannot give ordered instructions. Due to unfamiliarity, the data preparation is incomplete and needs to be handled for many times.
Disclosure of Invention
The invention provides a legal assistance qualification determination management system and a legal assistance qualification determination management method, which solve the technical problem that a special group is difficult to use and operate a legal intelligent service robot.
The invention provides a basic scheme of a legal assistance qualification identification management method, which comprises the following steps: s1, collecting the light reflection information of the user; s2, judging whether the user is a special group or not, and inputting application materials through voice; s3, if the application material is not complete, the application material is supplemented; s4, generating an analysis report according to the application materials; s5, judging whether the generated analysis report is abnormal; s6, if the analysis report is abnormal, returning to the step S2 and modifying the application material; if the analysis report is normal, determining whether the user qualifies for legal assistance based on the analysis report.
The working principle of the invention is as follows: whether the user is a special group or not is judged rapidly through light reflection, and if the user is the special group, the user is prompted to input application materials through voice; and determining whether the user qualifies for legal assistance through the application material. The invention has the advantages that: the method can quickly judge whether the user is a special group or not, specifically prompt the special group to input the application material according to the characteristics of the special group, and efficiently check whether the user meets the legal assistance conditions or not according to the application material, so that the special group can conveniently obtain legal services.
The method and the system can help the special group to quickly determine whether the special group has the qualification of applying for legal assistance, and are convenient for the special group users to obtain legal services.
Further, step S1 specifically includes: s11, emitting light; and S12, collecting the expression of the user. Light reflex is a common method for examining pupil function activity clinically, and is divided into direct light reflex and indirect light reflex. Direct light reflex means that the pupil of a normal person is immediately shrunk after the eyes are stimulated by light, and the pupil is rapidly restored after the light source is removed. Indirect light reflection means that when light irradiates one eye of a normal person, the pupil of the other eye is immediately reduced. The light is reflected or disappears, or is delayed, due to the fact that most pupils of a special population have certain damage to the light reflection path. By observing the change (specific change, referring to medical standard) of the pupil of the user after the eyes of the user are stimulated by light, whether the user is a special group or not can be judged quickly and accurately.
Further, step S2 specifically includes: s21, judging whether the user is a special group according to the facial expression of the user; s22, if the group is a special group, prompting the user to input application materials through voice; if the group is not a special group, prompting the user to input application materials through voice or words. For special groups, the voice input is convenient and quick. For normal people, voice input can be selected, and text input can also be selected. Thus being convenient for special groups and normal people.
Further, the step S3 specifically includes S31, calculating the integrity of the application material item, S32, prompting the supplementary material according to the integrity β and the sizes of the first threshold β m1 and the second threshold β m2 (β m1 < β m 2):
(I) if β is more than or equal to β m2, prompting the next step;
(II) if β m1 is less than or equal to β is less than β m2, the material can be supplemented;
(III) if β < β m1, it is suggested that the application material must be supplemented.
Obtaining legal assistance services requires a variety of materials, which users (especially blind) provide with high probability are incomplete. If the user does not provide complete material, but can draw accurate conclusions, the user may not need supplementary material, thereby simplifying the procedure. If the user does not provide the material in its entirety, but does not reach an accurate conclusion, the material may or may not be replenished (since there is a subsequent feedback correction step, the feedback will also replenish the material even if this step does not replenish it, which may simplify the procedure). If the user does not provide the material in its entirety and cannot conclude, the material must be replenished. The strategy of supplementing materials corresponding to the three conditions simplifies the procedure and is convenient for the operation of special groups.
Further, in step S32, the material is supplemented until β ≧ β m2 is prompted.
Further, step S4 specifically includes: s41, determining the big category of the case; s42, extracting keywords in the application materials; and S43, generating an analysis report according to the keywords. Legal assistance services may exist in civil, criminal and administrative cases, with different kinds of cases differing in their legal assistance qualifications. Therefore, classification is necessary. In addition, some conditions of legal assistance have a certain elasticity space (such as income level), and it is difficult to draw an accurate conclusion by considering only a single condition in isolation. By adopting the form of the analysis report, various conditions can be effectively and comprehensively evaluated, and an accurate conclusion can be obtained.
Further, step S5 specifically includes:
s51, dividing the analysis report Y into M independent sentences Si (i ═ 1, 2, … M), denoted as Y ═ S1, S2, Si, … SM };
s52, extracting keywords of each sentence, and recording as Si ═ Ki1, Ki2, … Kim }, where m represents the total number of keywords in the sentence Si; the keywords comprise attribute keywords and attribute value keywords, the attributes refer to items of legal assistance conditions, and the attribute values represent whether the items are met;
s53, matching the attribute keywords and the attribute value keywords in the same sentence, and recording as a set { (Ki11, K12), … (Kin1, Kin2) }, in1 and in2 as subscripts of the attribute keywords and the attribute value keywords in the nth keyword pair in the sentence Si respectively;
s54, constructing a directed network GR (VR, ER) according to the keyword pair set, wherein VR is a keyword set in the analysis report, VR { Kj }, j is 1, 2, … N, and N is the total number of keywords in the analysis report; ER is an edge set, ER ═ { ejk }, j, k ═ 1, 2, … N, edge ejk connects keywords Kj and Kk;
s55, searching the database DB for the keyword network Gt, and calculating a similarity α between GR and Gt (Gt ∈ DB, Gt ═ Vt, Et));
and S56, comparing the similarity α with a preset threshold α m, and judging whether the similarity is abnormal or not.
After the analysis report is generated, whether the analysis report is normal or not needs to be automatically identified. Most users applying legal assistance have no legal professional background and are difficult to interpret the professional terminology. For a user, the first thing to know is whether the analysis report is normal, and whether the analysis report is abnormal can be quickly identified through the method.
Based on the legal assistance qualification certification management method, the invention also discloses a legal assistance qualification certification management system, which comprises: the acquisition module is used for acquiring light reflection information of a user; the input module is used for judging whether the user is a special group or not and inputting application materials through voice; the supplement module is used for supplementing the application materials when the application materials are incomplete; the report module is used for generating an analysis report according to the application material; the judging module is used for judging whether the generated analysis report is abnormal or not; a determination module for determining whether the user qualifies for legal assistance based on the analysis report.
The method and the system can help the special group to quickly determine whether the special group has the qualification of applying for legal assistance, and are convenient for the special group users to obtain legal services.
Further, the input module comprises a special unit and a normal unit; the special unit is used for prompting a user to input application materials through voice; and the normal unit is used for prompting the user to input application materials through voice or characters. Thus being convenient for special groups and normal people.
Further, the supplement module comprises a first unit for prompting the next step when β is more than or equal to β m2, a second unit for prompting that materials can be supplemented when β m1 is less than or equal to β and less than β m2, and a third unit for prompting that the materials of the application must be supplemented when β is less than β m1, so that the process is simplified.
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FIG. 1 is a flowchart of an embodiment of a legal assistance qualification determination management method according to the present invention.
Detailed Description
The following is further detailed by the specific embodiments:
example 1
An embodiment of a legal assistance qualification determination and management method according to the present invention is substantially as shown in FIG. 1: the method comprises the following steps: s1, collecting the light reflection information of the user; s2, judging whether the user is a special group or not, and inputting application materials; s3, if the application material is not complete, the application material is supplemented; s4, generating an analysis report according to the application materials; s5, judging whether the generated analysis report is abnormal; s6, if the analysis report is abnormal, returning to the step S2 and modifying the application material; if the analysis report is normal, determining whether the user qualifies for legal assistance based on the analysis report.
When the user walks to the legal robot, the power of the incandescent lamp is switched on, and white light is emitted. At this time, the camera shoots the facial expression of the user, and not only can shoot a picture, but also can shoot a video, and the picture or the video is sent to the server after the shooting is finished.
The server is provided with Face Reader software, and after the server receives the photo or the video sent by the camera, the Face Reader software analyzes and identifies the facial expression of the user in the photo or the video. If the user is identified that the facial expression of the user has the blinking action, the user is a normal user (the eyesight is normal); if it is recognized that there is no blinking motion of the user's facial expression, the user is blind. If the user is blind, the user is prompted to input application materials by voice. If the blind person is not, the user is prompted to select to input application materials through voice or words.
After the blind inputs the application materials by voice (dictation), the server judges whether the application materials are complete. Such as: the 5 types of material that the applicant is in, basically, the fact and reason for applying for legal assistance, the economic status of the applicant, the list of proof materials provided by the applicant, the proof that the applicant warrants filing, and the statement that the proof materials are true can all be described by way of dictation.
If the first threshold β m1 is 0.7 and the second threshold β m2 is 0.9, 20 additional materials are needed for the above 5 types of materials, if the user provides 19 materials (β 0 19/20 is 0.95 and β > β m2), then it is possible to conclude whether legal assistance conditions are met according to the high probability of these materials, and therefore no supplementary materials are prompted, if the user provides 16 materials (β 16/20 is 0.8 and 864 m1 ≦ β < β m2), then it is not necessary to conclude whether assistance conditions are met according to these legal materials, and therefore supplementary materials are prompted.
And after the application materials of the user are input, the server generates an analysis report according to the materials. Specifically, the method comprises the following steps: in the first step, the large class of cases, such as criminal cases, labor remuneration, national compensation or civil cases, needs to be determined according to the application material. In the second step, keywords in the application material (the keywords can be extracted by referring to the prior art, such as CN106599269B), such as "social security", "low security", and "wage". And thirdly, generating an analysis report according to the keywords, wherein the social insurance corresponds to the request for giving social insurance treatment, the low insurance corresponds to the request for giving minimum life guarantee treatment, and the wage corresponds to the request for paying the labor reward. Whether the social insurance treatment is requested or the labor reward is requested, the related departments have prefabricated related templates, and the content in the application material is matched with the corresponding column of the template, so that the analysis report can be generated.
If the analysis report is generated directly from the generated analysis report, it is necessary to determine whether the analysis report is abnormal or not (i is equal to 1, 2, … M), Y is equal to { S1, S2, Si, … SM }, for example, a sentence number is an independent sentence, "applicant has a domicile certificate, no income certificate …". second step, a keyword of each sentence is extracted, Si is equal to { Ki1, 2, … Kim }, where M denotes a total number of keywords in the sentence "(GR includes an attribute keyword and an attribute value, the attribute value refers to an item of a condition for which the keyword is a keyword, an attribute value represents whether the item satisfies a condition or not (e.g.," the domicile certificate is an attribute ", a keyword set of a keyword, a keyword set of keyword, a keyword set of a keyword, a keyword set of a keyword, a keyword set of a keyword, a keyword.
The analysis report is regenerated according to the steps, the material input step is returned, the user is prompted to modify, increase or re-input the application material, the analysis report is regenerated according to the steps based on the application material modified, increased or re-input by the user until α is satisfied, namely 0.9 < α m, and finally the qualification is carried out after the analysis report is obtained.
Based on the legal assistance qualification certification management method, the invention also discloses a legal assistance qualification certification management system, which comprises: the acquisition module is used for acquiring light reflection information of a user; the input module is used for judging whether the user is a special group or not and inputting application materials through voice; the supplement module is used for supplementing the application materials when the application materials are incomplete; the report module is used for generating an analysis report according to the application material; the judging module is used for judging whether the generated analysis report is abnormal or not; a determination module for determining whether the user qualifies for legal assistance based on the analysis report.
The input module comprises a special unit and a normal unit; the special unit is used for prompting a user to input application materials through voice; and the normal unit is used for prompting the user to input application materials through voice or characters. Thus being convenient for special groups and normal people.
The supplement module comprises a first unit for prompting the next step when β is more than or equal to β m2, a second unit for prompting that materials can be supplemented when β m1 is more than or equal to β and less than β m2, and a third unit for prompting that the materials are required to be supplemented when β is less than β m1, so that the process is simplified.
Example 2
The only difference from example 1 is that: in this embodiment, the language expression of Zhang III presents a serious obstacle, and the robot consults with the legal service robot to determine whether the robot qualifies for legal assistance. After inputting the personal basic situation by three-way voice, the robot informs the user of the required materials by voice according to the personal basic situation. After Zhang III provides materials, the robot checks whether the materials are complete: if the materials are complete, determining whether legal assistance is qualified according to the materials; if the materials are not complete, the worker is prompted to process the materials.
In this embodiment, Zhang III provides incomplete materials, so that the staff handles the materials. The staff checks and checks the material provided by Zhang III and asks Zhang III for relevant conditions. Meanwhile, Praat voice analysis software and faceReader software collect the voice and facial expressions of Zhang III, and judge whether the Zhang III can understand the meaning of the materials and know which departments to handle the materials according to the speed, tone and facial expressions of the Zhang III.
For example, when a worker asks the Zhang III question, the Zhang III is slow in speed, stiff in expression and obvious in answer, the meaning of materials cannot be understood by the Zhang III, and the worker does not know which department to handle the materials; at this time, the workers work with the staff all the way.
If Zhang san is slow in speech speed but basically correct in answer, it can be known that Zhang san may not have experience in dealing with these materials; the staff member then provides a corresponding template, which includes a bill of materials and its corresponding office.
If the speed of Zhang III is normal, the basic answer is correct, and Zhang III may have experience of handling the materials; at this time, the staff provides the corresponding list.
The foregoing is merely an example of the present invention, and common general knowledge in the field of known specific structures and characteristics is not described herein in any greater extent than that known in the art at the filing date or prior to the priority date of the application, so that those skilled in the art can now appreciate that all of the above-described techniques in this field and have the ability to apply routine experimentation before this date can be combined with one or more of the present teachings to complete and implement the present invention, and that certain typical known structures or known methods do not pose any impediments to the implementation of the present invention by those skilled in the art. It should be noted that, for those skilled in the art, without departing from the structure of the present invention, several changes and modifications can be made, which should also be regarded as the protection scope of the present invention, and these will not affect the effect of the implementation of the present invention and the practicability of the patent. The scope of the claims of the present application shall be determined by the contents of the claims, and the description of the embodiments and the like in the specification shall be used to explain the contents of the claims.

Claims (10)

1. A legal assistance qualification certification management method, comprising: the method comprises the following steps: s1, collecting the light reflection information of the user; s2, judging whether the user is a special group or not, and inputting application materials through voice; s3, if the application material is not complete, the application material is supplemented; s4, generating an analysis report according to the application materials; s5, judging whether the generated analysis report is abnormal; s6, if the analysis report is abnormal, returning to the step S2 and modifying the application material; if the analysis report is normal, determining whether the user qualifies for legal assistance based on the analysis report.
2. The legal assistance qualification management method according to claim 1, wherein: step S1 specifically includes: s11, emitting light; and S12, collecting the expression of the user.
3. The legal assistance qualification determination management method according to claim 2, wherein: step S2 specifically includes: s21, judging whether the user is a special group according to the facial expression of the user; s22, if the group is a special group, prompting the user to input application materials through voice; if the group is not a special group, prompting the user to input application materials through voice or words.
4. The legal assistance qualification certification management method according to claim 3, wherein the step S3 comprises the steps of S31, calculating the integrity of the applied materials item, S32, prompting the supplementary materials according to the integrity β and the sizes of the first threshold β m1 and the second threshold β m2 (β m1 < β m 2):
(I) if β is more than or equal to β m2, prompting the next step;
(II) if β m1 is less than or equal to β is less than β m2, the material can be supplemented;
(III) if β < β m1, it is suggested that the application material must be supplemented.
5. The legal assistance qualification management method according to claim 4, wherein in step S32, supplementary materials are presented until β ≧ β m 2.
6. The legal assistance qualification management method according to claim 5, wherein: step S4 specifically includes: s41, determining the big category of the case; s42, extracting keywords in the application materials; and S43, generating an analysis report according to the keywords.
7. The legal assistance qualification management method according to claim 6, wherein: step S5 specifically includes:
s51, dividing the analysis report Y into M independent sentences Si (i ═ 1, 2, … M), denoted as Y ═ S1, S2, Si, … SM };
s52, extracting keywords of each sentence, and recording as Si ═ Ki1, Ki2, … Kim }, where m represents the total number of keywords in the sentence Si; the keywords comprise attribute keywords and attribute value keywords, the attributes refer to items of legal assistance conditions, and the attribute values represent whether the items are met;
s53, matching the attribute keywords and the attribute value keywords in the same sentence, and recording as a set { (Ki11, K12), … (Kin1, Kin2) }, in1 and in2 as subscripts of the attribute keywords and the attribute value keywords in the nth keyword pair in the sentence Si respectively;
s54, constructing a directed network GR (VR, ER) according to the keyword pair set, wherein VR is a keyword set in the analysis report, VR { Kj }, j is 1, 2, … N, and N is the total number of keywords in the analysis report; ER is an edge set, ER ═ { ejk }, j, k ═ 1, 2, … N, edge ejk connects keywords Kj and Kk;
s55, searching the database DB for the keyword network Gt, and calculating a similarity α between GR and Gt (Gt ∈ DB, Gt ═ Vt, Et));
and S56, comparing the similarity α with a preset threshold α m, and judging whether the similarity is abnormal or not.
8. A legal assistance qualification certification management system, comprising: the method comprises the following steps: the acquisition module is used for acquiring light reflection information of a user; the input module is used for judging whether the user is a special group or not and inputting application materials through voice; the supplement module is used for supplementing the application materials when the application materials are incomplete; the report module is used for generating an analysis report according to the application material; the judging module is used for judging whether the generated analysis report is abnormal or not; a determination module for determining whether the user qualifies for legal assistance based on the analysis report.
9. The legal assistance qualification management system of claim 8, wherein: the input module comprises a special unit and a normal unit; the special unit is used for prompting a user to input application materials through voice; and the normal unit is used for prompting the user to input application materials through voice or characters.
10. The legal assistance qualification management system of claim 9, wherein: the supplementary module includes:
the first unit is used for prompting the next step when β is more than or equal to β m 2;
a second unit for indicating that the material can be supplemented when β m1 ≦ β < β m 2;
and a third unit for indicating that the application material must be supplemented when β < β m 1.
CN202010132205.0A 2020-02-29 2020-02-29 Legal assistance qualification determination management system and method Pending CN111325523A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113283760A (en) * 2021-05-31 2021-08-20 浙江环玛信息科技有限公司 Case flow analysis report generation method and system

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