CN113806578A - Missing person inquiry method and system based on artificial intelligence and big data - Google Patents
Missing person inquiry method and system based on artificial intelligence and big data Download PDFInfo
- Publication number
- CN113806578A CN113806578A CN202111023589.3A CN202111023589A CN113806578A CN 113806578 A CN113806578 A CN 113806578A CN 202111023589 A CN202111023589 A CN 202111023589A CN 113806578 A CN113806578 A CN 113806578A
- Authority
- CN
- China
- Prior art keywords
- data
- head portrait
- user
- database
- chain
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000013473 artificial intelligence Methods 0.000 title claims abstract description 29
- 238000000034 method Methods 0.000 title claims abstract description 17
- 210000000697 sensory organ Anatomy 0.000 claims abstract description 29
- 238000007781 pre-processing Methods 0.000 claims abstract description 16
- 238000012545 processing Methods 0.000 claims abstract description 12
- 238000001514 detection method Methods 0.000 claims description 15
- 238000000605 extraction Methods 0.000 claims description 14
- 238000012216 screening Methods 0.000 claims description 14
- 238000010606 normalization Methods 0.000 claims description 13
- 238000004140 cleaning Methods 0.000 claims description 6
- 239000008280 blood Substances 0.000 description 7
- 210000004369 blood Anatomy 0.000 description 7
- 238000011161 development Methods 0.000 description 3
- 230000001815 facial effect Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000002068 genetic effect Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
- G06F16/58—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
- G06F16/583—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/22—Matching criteria, e.g. proximity measures
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
- G16B20/00—ICT specially adapted for functional genomics or proteomics, e.g. genotype-phenotype associations
- G16B20/30—Detection of binding sites or motifs
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
- G16B50/00—ICT programming tools or database systems specially adapted for bioinformatics
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Life Sciences & Earth Sciences (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Health & Medical Sciences (AREA)
- Data Mining & Analysis (AREA)
- Bioinformatics & Computational Biology (AREA)
- Evolutionary Biology (AREA)
- Library & Information Science (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Spectroscopy & Molecular Physics (AREA)
- Medical Informatics (AREA)
- General Engineering & Computer Science (AREA)
- Biophysics (AREA)
- Databases & Information Systems (AREA)
- Biotechnology (AREA)
- Bioethics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Evolutionary Computation (AREA)
- Artificial Intelligence (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Genetics & Genomics (AREA)
- Molecular Biology (AREA)
- Proteomics, Peptides & Aminoacids (AREA)
- Image Analysis (AREA)
Abstract
The invention discloses a missing person inquiry method and a system based on artificial intelligence and big data, which relate to the technical field of image processing and comprise the following steps: collecting a user head portrait, extracting feature data of five sense organs of the user head portrait, and storing the feature data in an original database; preprocessing the data of the original database by using a big data processing algorithm, storing the preprocessed data in a latest database, normalizing the data of the latest database into a 128-bit small data chain, and storing the data into a query table of the latest database; when the missing person needs to be inquired, firstly, a photo of the missing person or the relative thereof is obtained, feature data of the five sense organs in the photo is extracted, then the extracted data is normalized into a 128-bit small data chain, a data chain with similarity to the 128-bit small data chain is screened in a query table, and finally, user footprint information is inquired for a user head portrait group corresponding to the screened data chain. The invention also discloses a missing person inquiry system which is combined with the scheme to realize the pursuit and the positioning of the missing person together.
Description
Technical Field
The invention relates to the technical field of image processing, in particular to a missing person inquiry method and system based on artificial intelligence and big data.
Background
The search of lost people is very important for families, but the detection time of DNA is long, the cost is high, and the screening range is small. According to the characteristics of genetics, people with blood relationship can have similar genetic characteristics, and according to the characteristic, large-data-volume comparison screening can be carried out according to similar facial characteristics of the people, so that the people with similar characteristics can be selected. And according to the identity information of the personnel, the social information of the personnel is locked, and further the relationship between the blood relationship of the screened personnel and the blood relationship of the inquired personnel is determined.
In addition, with the rapid development of computer technology and science and technology, cameras are installed in public places to ensure the safety of public property and the acquisition of illegal information, and personnel information acquired by the cameras can be used as a system big database personnel database to acquire and process the personnel information. According to a specific image processing algorithm, the information of the face image of the person shot and extracted is compiled into parameter data of the face characteristic, with the development of a big data technology and an artificial intelligence technology, the technical level is mature, the data is extracted more and more finely, and the data retrieval speed is fast enough to support the large amount of collection, processing and retrieval at present. But also can serve the search of the lost person.
Disclosure of Invention
Aiming at the requirements and the defects of the prior art development, the invention provides a missing person inquiry method and system based on artificial intelligence and big data.
Firstly, the invention provides a missing person inquiry method based on artificial intelligence and big data, and the technical scheme adopted for solving the technical problems is as follows:
a missing person inquiry method based on artificial intelligence and big data comprises the following implementation steps:
collecting a user head portrait, extracting feature data of five sense organs of the user head portrait by using an artificial intelligence algorithm, and storing the user head portrait and the feature data of the five sense organs in an original database;
preprocessing the data of the original database by using a big data processing algorithm, storing the preprocessed data in a latest database, normalizing the data contained in the latest database into a 128-bit small data chain, and storing the small data chain into a query table of the latest database;
when a lost person needs to be inquired, firstly, a photo of the lost person or a relative person is obtained, feature data of five sense organs in the photo is extracted by an artificial intelligence algorithm, then the extracted feature data of the five sense organs is normalized into a 128-bit small data chain, a data chain with similarity to the 128-bit small data chain is screened in a query table of a latest database, and finally, a user head portrait group corresponding to the screened data chain is inquired according to the sequence of similarity from high to low to inquire the footprint information of each user, so that the lost person is searched and positioned.
Optionally, the user head portrait information is collected through a camera in the public area, and the user head portrait information in all the public areas is stored in the original database.
Optionally, a big data processing algorithm is used to perform preprocessing operations of cleaning, deduplication and analysis on the data of the original database.
Optionally, the DNA detection is further performed on the user head portrait group corresponding to the screened data chain according to the sequence from high similarity to low similarity, and then the footprint information of the user is queried according to the DNA detection result, so as to realize the pursuit and positioning of the lost person.
Secondly, the invention provides a missing person inquiry system based on artificial intelligence and big data, and the technical scheme adopted for solving the technical problems is as follows:
a missing person inquiry system based on artificial intelligence and big data comprises the following implementation structures:
the image acquisition and extraction module is used for acquiring a user head portrait, extracting feature data of the five sense organs of the user head portrait by using an artificial intelligence algorithm, and storing the user head portrait and the feature data of the five sense organs in an original database;
the data preprocessing module is used for preprocessing the data of the original database and storing the preprocessed data in the latest database;
the first data normalization module is used for normalizing data contained in the latest database into a 128-bit small data chain and storing the small data chain into a query table of the latest database;
the image acquisition and extraction module is used for acquiring a picture of the lost person or the relative person of the lost person and extracting feature data of the five sense organs in the picture by using an artificial intelligence algorithm;
the data normalization module II is used for receiving the feature data of the five sense organs extracted by the image acquisition and extraction module and normalizing the extracted feature data of the five sense organs into a 128-bit small data chain;
the data screening module is used for screening a data chain with similarity to the 128-bit small data chain output by the data normalization module II in a query table of the latest database and outputting a user head portrait group corresponding to the screened data chain;
and the footprint inquiry module is used for inquiring and screening the obtained footprint information of each user according to the sequence of the similarity from high to low so as to realize the pursuit and the positioning of the lost personnel.
Optionally, the image acquisition and extraction module acquires the user head portrait information through a camera in the public area, and the user head portrait information in all the public areas is stored in the original database.
Optionally, the data preprocessing module performs preprocessing operations of cleaning, deduplication and analysis on the data of the original database by using a big data processing algorithm.
Optionally, the footprint inquiry module further performs DNA detection on the user head portrait groups corresponding to the screened data chains according to the sequence from high similarity to low similarity, and then inquires the footprint information of the user according to the DNA detection result, so as to realize the pursuit and positioning of the lost people.
Compared with the prior art, the missing person inquiry method and the missing person inquiry system based on artificial intelligence and big data have the beneficial effects that:
according to the method, the lost person or the photo of the lost person or the relative person is compared and screened with the information recorded in the latest database, so that the recorded information of the person with high face information similarity can be screened from a large amount of data, and the inquiry range of the lost person is narrowed; in addition, the missing person can be further positioned in detail by performing DNA detection.
Drawings
FIG. 1 is a flow chart of a method according to a first embodiment of the present invention;
fig. 2 is a connection block diagram of the second embodiment of the present invention.
The reference information in the drawings indicates:
1. an image acquisition and extraction module 2, a data preprocessing module 3, a data normalization module I,
4. an image acquisition and extraction module 5, a data normalization module II, 6, a data screening module,
7. a footprint inquiry module 8, an original database 9, a latest database 10 and a query table.
Detailed Description
In order to make the technical scheme, the technical problems to be solved and the technical effects of the present invention more clearly apparent, the following technical scheme of the present invention is clearly and completely described with reference to the specific embodiments.
The first embodiment is as follows:
with reference to fig. 1, this embodiment provides a missing person query method based on artificial intelligence and big data, and the implementation steps include:
acquiring head portrait information of a user through a camera in a public area, extracting feature data of five sense organs of the head portrait of the user by using an artificial intelligence algorithm, and storing the head portrait of the user and the feature data of the five sense organs in an original database;
and cleaning, removing duplicate and analyzing the data of the original database by using a big data processing algorithm, then storing the data in the latest database, and normalizing the data contained in the latest database into a 128-bit small data chain and storing the small data chain into a lookup table of the latest database.
When a lost person needs to be inquired, firstly, a photo of the lost person or a relative person is obtained, feature data of five sense organs in the photo is extracted by an artificial intelligence algorithm, then the extracted feature data of the five sense organs is normalized into a 128-bit small data chain, a data chain with similarity to the 128-bit small data chain is screened in a query table of a latest database, and finally, a user head portrait group corresponding to the screened data chain is inquired according to the sequence of similarity from high to low to inquire the footprint information of each user, so that the lost person is searched and positioned.
In this embodiment, on the premise that a blood sample of a lost person or a blood sample of a close relative can be obtained, DNA detection can be further performed in the order from high to low in similarity, and then the user's footprint information is queried according to the DNA detection result, so as to realize the pursuit and location of the lost person.
Example two:
with reference to fig. 2, the embodiment provides a missing person query system based on artificial intelligence and big data, and the implementation structure of the missing person query system includes an image acquisition and extraction module 1, a data preprocessing module 2, a data normalization module one 3, an image acquisition and extraction module 4, a data normalization module two 5, a data screening module 6, and a footprint query module 7.
The image acquisition and extraction module 1 is used for acquiring a user head portrait through a camera in a public area, extracting feature data of five sense organs of the user head portrait by using an artificial intelligence algorithm, and storing the user head portrait and the feature data of the five sense organs in an original database 8;
the data preprocessing module 2 is used for cleaning, removing duplicate and analyzing the data of the original database 8, and then storing the data in the latest database 9;
the data normalization module I3 is used for normalizing data contained in the latest database into a 128-bit small data chain and storing the small data chain into a query table of the latest database;
the image acquisition and extraction module 4 is used for acquiring a picture of the lost person or the relative thereof and extracting feature data of the five sense organs in the picture by using an artificial intelligence algorithm;
the second data normalization module 5 is used for receiving the feature data of the five sense organs extracted by the image acquisition and extraction module 4 and normalizing the extracted feature data of the five sense organs into a 128-bit small data chain;
the data screening module 6 is used for screening a data chain with similarity to the 128-bit small data chain output by the data normalization module two 5 in a query table of the latest database 49 and outputting a user avatar group corresponding to the screened data chain;
the footprint inquiry module 7 is used for inquiring and screening the obtained footprint information of each user according to the sequence of similarity from high to low, so as to realize the pursuit and the positioning of the lost personnel. In this embodiment, on the premise that the blood sample of the lost person or the blood sample of the close relative can be obtained, the footprint inquiry module 7 can further perform DNA detection according to the sequence from high similarity to low similarity, and then inquire the footprint information of the user according to the DNA detection result, thereby realizing the pursuit and positioning of the lost person.
In summary, by adopting the missing person inquiry method and system based on artificial intelligence and big data, the missing person record information with higher facial information similarity can be screened out from a large amount of data by comparing and screening the lost person photo and the information recorded in the latest database, so that the inquiry range of the missing person is narrowed; in addition, the missing person can be further positioned in detail by performing DNA detection.
Based on the above embodiments of the present invention, those skilled in the art should make any improvements and modifications to the present invention without departing from the principle of the present invention, and therefore, the present invention should fall into the protection scope of the present invention.
Claims (8)
1. A missing person inquiry method based on artificial intelligence and big data is characterized by comprising the following implementation steps:
collecting a user head portrait, extracting feature data of five sense organs of the user head portrait by using an artificial intelligence algorithm, and storing the user head portrait and the feature data of the five sense organs in an original database;
preprocessing the data of the original database by using a big data processing algorithm, storing the preprocessed data in a latest database, normalizing the data contained in the latest database into a 128-bit small data chain, and storing the small data chain into a query table of the latest database;
when a lost person needs to be inquired, firstly, a photo of the lost person or a relative person is obtained, feature data of five sense organs in the photo is extracted by an artificial intelligence algorithm, then the extracted feature data of the five sense organs is normalized into a 128-bit small data chain, a data chain with similarity to the 128-bit small data chain is screened in a query table of a latest database, and finally, a user head portrait group corresponding to the screened data chain is inquired according to the sequence of similarity from high to low to inquire the footprint information of each user, so that the lost person is searched and positioned.
2. The method as claimed in claim 1, wherein the user's head portrait information is collected by a camera in a public area, and the head portrait information of all the users in the public area is stored in the original database.
3. The method as claimed in claim 1, wherein the big data processing algorithm is used to perform pre-processing operations of cleaning, deduplication and analysis on the data in the original database.
4. The query method for missing people based on artificial intelligence and big data as claimed in claim 1, wherein the DNA detection is further performed on the user head portrait groups corresponding to the screened data chains in the order of similarity from high to low, and then the footprint information of the user is queried according to the DNA detection results, so as to realize the pursuit and location of the missing people.
5. A missing person inquiry system based on artificial intelligence and big data is characterized in that the implementation structure comprises:
the image acquisition and extraction module is used for acquiring a user head portrait, extracting feature data of the five sense organs of the user head portrait by using an artificial intelligence algorithm, and storing the user head portrait and the feature data of the five sense organs in an original database;
the data preprocessing module is used for preprocessing the data of the original database and storing the preprocessed data in the latest database;
the first data normalization module is used for normalizing data contained in the latest database into a 128-bit small data chain and storing the small data chain into a query table of the latest database;
the image acquisition and extraction module is used for acquiring a picture of the lost person or the relative person of the lost person and extracting feature data of the five sense organs in the picture by using an artificial intelligence algorithm;
the data normalization module II is used for receiving the feature data of the five sense organs extracted by the image acquisition and extraction module and normalizing the extracted feature data of the five sense organs into a 128-bit small data chain;
the data screening module is used for screening a data chain with similarity to the 128-bit small data chain output by the data normalization module II in a query table of the latest database and outputting a user head portrait group corresponding to the screened data chain;
and the footprint inquiry module is used for inquiring and screening the obtained footprint information of each user according to the sequence of the similarity from high to low so as to realize the pursuit and the positioning of the lost personnel.
6. The system of claim 5, wherein the image capturing and extracting module captures the user's head portrait information through a camera in a public area, and the head portrait information of all the users in the public area is stored in the original database.
7. The system of claim 5, wherein the data preprocessing module performs preprocessing operations of cleaning, deduplication and analysis on data in the original database by using big data processing algorithm.
8. The system of claim 5, wherein the footprint query module further performs DNA detection on the head portrait groups of the users corresponding to the screened data chains in the order from high similarity to low similarity, and then queries the user's footprint information according to the DNA detection results to search and locate the missing person.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111023589.3A CN113806578A (en) | 2021-09-01 | 2021-09-01 | Missing person inquiry method and system based on artificial intelligence and big data |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111023589.3A CN113806578A (en) | 2021-09-01 | 2021-09-01 | Missing person inquiry method and system based on artificial intelligence and big data |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113806578A true CN113806578A (en) | 2021-12-17 |
Family
ID=78942273
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111023589.3A Pending CN113806578A (en) | 2021-09-01 | 2021-09-01 | Missing person inquiry method and system based on artificial intelligence and big data |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113806578A (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6078282A (en) * | 1998-06-26 | 2000-06-20 | Casey; Paul J. | Data base for a locator system |
| CN105404860A (en) * | 2015-11-13 | 2016-03-16 | 北京旷视科技有限公司 | Method and device for managing information of lost person |
| CN107423427A (en) * | 2017-08-02 | 2017-12-01 | 上海数烨数据科技有限公司 | One kind utilizes big data personnel's lost contact decision-making system and method in limited area |
| WO2021088640A1 (en) * | 2019-11-06 | 2021-05-14 | 重庆邮电大学 | Facial recognition technology based on heuristic gaussian cloud transformation |
-
2021
- 2021-09-01 CN CN202111023589.3A patent/CN113806578A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6078282A (en) * | 1998-06-26 | 2000-06-20 | Casey; Paul J. | Data base for a locator system |
| CN105404860A (en) * | 2015-11-13 | 2016-03-16 | 北京旷视科技有限公司 | Method and device for managing information of lost person |
| CN107423427A (en) * | 2017-08-02 | 2017-12-01 | 上海数烨数据科技有限公司 | One kind utilizes big data personnel's lost contact decision-making system and method in limited area |
| WO2021088640A1 (en) * | 2019-11-06 | 2021-05-14 | 重庆邮电大学 | Facial recognition technology based on heuristic gaussian cloud transformation |
Non-Patent Citations (3)
| Title |
|---|
| 孟倩: "基于内容查询的智能安全监控视频数据库系统研究", 计算机应用与软件, no. 11, pages 139 - 141 * |
| 李玮 等: "人脸识别技术在公安实战中的创新应用――以县级公安单位为例", 警察技术, no. 04, pages 64 - 67 * |
| 陈建旭 等: "基于视频的人像识别技战法应用", 中国公共安全(学术版), no. 2, pages 103 - 107 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103530652B (en) | A kind of video categorization based on face cluster, search method and system thereof | |
| WO2020259099A1 (en) | Information processing method and device, and storage medium | |
| CN110598543B (en) | Model training method based on attribute mining and reasoning and pedestrian re-identification method | |
| CN109635146B (en) | Target query method and system based on image characteristics | |
| CN105184238A (en) | Human face recognition method and system | |
| CN107315795B (en) | The instance of video search method and system of joint particular persons and scene | |
| CN106126680A (en) | A kind of video image reconnaissance method and system | |
| CN111522980A (en) | File-based quick search method under mass data | |
| CN108363771A (en) | A kind of image search method towards public security investigation application | |
| CN110705469A (en) | Face matching method and device and server | |
| Yang et al. | Bottom-up foreground-aware feature fusion for person search | |
| CN113806578A (en) | Missing person inquiry method and system based on artificial intelligence and big data | |
| CN111897993A (en) | Efficient target person track generation method based on pedestrian re-recognition | |
| CN111476820A (en) | Method and device for positioning tracked target | |
| Hrkac et al. | Tattoo detection for soft biometric de-identification based on convolutional neural networks | |
| Yi et al. | The impact of tattoo segmentation on the performance of tattoo matching | |
| CN114140674A (en) | Electronic evidence usability identification method combining image processing and data mining technology | |
| CN109408727B (en) | Intelligent user attention information recommendation method and system based on multidimensional perception data | |
| Joly et al. | Unsupervised individual whales identification: spot the difference in the ocean | |
| Dong et al. | Research on fast face retrieval optimization algorithm based on fuzzy clustering | |
| Zhu et al. | Person re-identification in the real scene based on the deep learning | |
| Ahmed et al. | An image-based digital forensic investigation framework for crime analysis | |
| CN111813987B (en) | Portrait comparison method based on police big data | |
| Han et al. | Signature identification via local association of features | |
| Xu et al. | A geometric-based tattoo retrieval system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20211217 |