CN110929590A - Community archive management system - Google Patents
Community archive management system Download PDFInfo
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- CN110929590A CN110929590A CN201911056201.2A CN201911056201A CN110929590A CN 110929590 A CN110929590 A CN 110929590A CN 201911056201 A CN201911056201 A CN 201911056201A CN 110929590 A CN110929590 A CN 110929590A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/40—Scenes; Scene-specific elements in video content
- G06V20/46—Extracting features or characteristics from the video content, e.g. video fingerprints, representative shots or key frames
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/70—Information retrieval; Database structures therefor; File system structures therefor of video data
- G06F16/71—Indexing; Data structures therefor; Storage structures
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/70—Information retrieval; Database structures therefor; File system structures therefor of video data
- G06F16/78—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
- G06F16/783—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
- G06F16/7837—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content using objects detected or recognised in the video content
- G06F16/784—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content using objects detected or recognised in the video content the detected or recognised objects being people
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
Abstract
The embodiment of the invention provides a community archive management system, which comprises: the system comprises a video processing module, a file storage module and a big data processing module, wherein the video processing module is used for utilizing monitoring to shoot images in a community and extracting personnel features contained in the images; the file storage module is used for establishing a personnel electronic file for each personnel in the community and storing the personnel characteristics extracted by the video processing module into the corresponding personnel electronic file; and the big data processing module is used for carrying out data mining and data analysis on the files stored in the file storage module. By applying the embodiment of the invention, the information is updated more timely.
Description
Technical Field
The invention relates to a file management system, in particular to a community file management system.
Background
With the continuous promotion of digital construction, more and more communities realize digital coverage. And the population is concentrated to the city, so that the population density in the city is increased, the number of floating population is increased, and the management difficulty of the community is increased.
At present, the management mode of the community is usually to count the information of the permanent population, the information of the fixed population, the information of the floating population and the like in the district through the form of visiting or registering on the network. However, due to the large number of people in the community and the large population mobility, the situation of people in the community needs to be updated regularly. When personnel conditions are updated, the existing manual visiting mode is carried out house by house, so that the labor consumption is high, and the efficiency is low; and the problem of missing statistics is easy to occur. The online registration mode is passive, so the population management method cannot timely update the personnel conditions in the community, and the information update is delayed.
Disclosure of Invention
The technical problem to be solved by the invention is how to provide a community archive management system to solve the technical problem of information update lag in the prior art.
The invention solves the technical problems through the following technical means:
the embodiment of the invention provides a community archive management system, which comprises: a video processing module, a file storage module and a big data processing module, wherein,
the video processing module is used for utilizing monitoring to shoot images in the community and extracting personnel features contained in the images, wherein the personnel features comprise: one or a combination of time, location, gender, height, facial features data, clothing data;
the file storage module is used for establishing a personnel electronic file for each personnel in the community and storing the personnel characteristics extracted by the video processing module into the corresponding personnel electronic file; wherein the people within the community include: one or a combination of pedestrians, visitors, regular living population and fixed population;
and the big data processing module is used for carrying out data mining and data analysis on the files stored in the file storage module.
Optionally, the electronic personnel record further includes: the personnel building code, the information of the affiliated district, the unit number, the room number, the floor information, the renting room information and the owner information.
Optionally, the video processing module is further configured to capture an image in the community by monitoring, and extract vehicle features included in the image, where the vehicle features include: one or a combination of time, place, model, color, annual payment and license plate number;
the archive storage module is also used for establishing vehicle electronic archives for vehicles in the community and storing the vehicle characteristics extracted by the video processing module into the corresponding vehicle electronic archives.
Optionally, the video processing module is further configured to: performing feature extraction on the shot images of the vehicle and the shot images of the person by using a deep learning algorithm, wherein the deep learning algorithm comprises the following steps: one or a combination of convolutional neural networks, back-propagation neural networks.
Optionally, the big data processing module is configured to obtain an update frequency of the electronic file for each of the electronic files of the personnel and the electronic files of the vehicle, and deliver the electronic file to a higher management system of the community file management system when the update frequency of the electronic file is lower than a preset threshold, so that the higher management system collects or analyzes other files corresponding to the electronic file delivered by the community file management systems of different communities.
Optionally, the big data processing module is configured to deliver the electronic document of the person of the key person and the electronic document of the vehicle of the key vehicle collected by the community to the upper management system in real time, where the key person includes: the card swiping times of case-related personnel or persons exceeding the authority issued by the police department exceed the set times; the key vehicles are: vehicles to be key checked issued by the police department, and vehicles with inconsistent vehicle information in the files and vehicle management information.
The invention has the advantages that:
by applying the embodiment of the invention, the personnel electronic files are established for each person in the community, the personnel electronic files are updated by utilizing the personnel characteristics of the monitoring and acquiring personnel, and the vehicle electronic files are updated by utilizing the vehicle characteristics of the monitoring and acquiring vehicle.
Drawings
FIG. 1 is a block diagram of a community archive management system according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the embodiments of the present invention, and it is obvious that the described embodiments are some embodiments of the present invention, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The embodiment of the invention provides a community archive management system, which comprises: a video processing module, a file storage module and a big data processing module, wherein,
the video processing module is used for utilizing monitoring to shoot images in the community and extracting personnel features contained in the images, wherein the personnel features comprise: one or a combination of time, location, gender, height, facial features data, clothing data; for example, the video processing module may use an existing feature extraction model to perform person feature recognition on the photographed person from each monitored and photographed video image in the community, for example, 12:00:00, at the intersection of the route a and the route B, zhang san, male, height 175cm, red jacket, blue trousers; or when the pedestrian's face is covered by a hat, the following results can be recognized: at 12:00:00 time, at the intersection of the A road and the B road, a pedestrian, a man, the height of 175cm, a red coat, blue trousers and a hat. In practical applications, the personnel features cannot be identified completely, and only the identifiable personnel features can be extracted and stored.
The file storage module is used for establishing a personnel electronic file for each personnel in the community and storing the personnel characteristics extracted by the video processing module into the corresponding personnel electronic file; wherein the people within the community include: one or a combination of pedestrians, visitors, regular living population and fixed population; for example, the archive storage module receives the personnel characteristics sent by the video processing module, and then stores the personnel characteristics into the electronic personnel archive with third organization according to the name information of the corresponding personnel in the personnel characteristics.
It can be understood that if there is no three person electronic profiles in the profile storage module, a new person electronic profile should be created, and then the person features extracted by the video processing module are stored in the corresponding person electronic profile. In addition, in order to improve the coverage and avoid omission, electronic personnel files of each person are constructed on the basis of fixed population and permanent population, and the electronic files can be more detailed and comprise information such as the name of a residential community, the number of a building, the number of a unit, the number of a house number and the like of each person. For people who pass by or frequently come in and go out of the community, activity records of the people can be accumulated for subsequent big data processing modules.
And the big data processing module is used for carrying out secondary processing, such as data mining and data analysis, on the files stored in the file storage module by using some existing data mining and analysis algorithms.
In addition, in practical application, the big data processing module can collect the personnel characteristics of the personnel names which cannot be identified in the file storage module, centralize the time in the collected personnel characteristics, and associate the personnel characteristics with the similarity higher than a set value and report the personnel characteristics to a superior management system; for example, the archive storage module stores the following pieces of personnel characteristic information:
at 12:00:00 time, at the intersection of the A road and the B road, a pedestrian, a man, the height of 175cm, a red coat, blue trousers and a hat are worn;
at time 12:01:00, way A and way C; at the intersection of the road, a pedestrian, a man, 175cm in height, a red coat, blue trousers and a hat;
at the time of 13:00:00, at the intersection of the D path and the E path, a pedestrian, a man, the height of 175cm, a red coat, blue trousers and a hat are worn;
13:00:00, at the intersection of the A path and the B path, a pedestrian, a man, the height of 175cm, a green coat, shorts and a helmet;
because the same person generally cannot frequently change the clothing characteristics within a period of time, the data processing module can calculate the Euclidean distance between the personnel characteristics, take the personnel characteristics with the Euclidean distance smaller than a set value as a set, then acquire the time distribution of the personnel characteristics of the set, associate the personnel characteristics in the date corresponding to the time distribution central point with the personnel characteristics of the same undetermined person, and then report the personnel characteristics to a superior archive management department.
Further, in order to more accurately associate the person characteristics corresponding to the undetermined person, information such as gait characteristics of the person and characteristics of the carried articles may be added to the person characteristics.
By applying the embodiment of the invention, the personnel electronic files are established for each person in the community, the personnel electronic files are updated by utilizing the personnel characteristics of the monitoring and acquiring personnel, and the vehicle electronic files are updated by utilizing the vehicle characteristics of the monitoring and acquiring vehicle.
In a specific implementation manner of the embodiment of the present invention, the electronic personnel file further includes: the number of the person building, the information of the affiliated district, the unit number, the room number, the floor information, the renting information, the owner information and the entrance guard card number or a combination thereof.
In practical application, the electronic file of the person can also comprise a card-swiping access record of the person and the like.
In a specific implementation manner of the embodiment of the present invention, in order to effectively manage vehicles in a community, the video processing module is further configured to capture images in the community by monitoring, and extract vehicle features included in the images, where the vehicle features include: one or a combination of time, place, model, year, license plate number, belonged family, owner, license plate type, license plate color, vehicle type, body color, brand, vehicle series and parking space;
the archive storage module is also used for establishing vehicle electronic archives for vehicles in the community and storing the vehicle characteristics extracted by the video processing module into the corresponding vehicle electronic archives.
It can be understood that the management of the vehicle in the embodiment of the present invention is similar to the management mode of the personnel, and the difference is only the difference between the management object and the vehicle characteristic, and the embodiment of the present invention is not described herein again.
In a specific implementation manner of the embodiment of the present invention, in order to improve efficiency and accuracy of feature extraction, the video processing module is further configured to: performing feature extraction on the shot images of the vehicle and the shot images of the people by using an existing mature deep learning algorithm, wherein the deep learning algorithm comprises the following steps: one or a combination of convolutional neural networks, back-propagation neural networks.
In a specific implementation manner of the embodiment of the present invention, the big data processing module is configured to obtain an update frequency of the electronic file for each of the electronic files of the personnel and the electronic files of the vehicle, and deliver the electronic file to a higher management system of the community file management system when the update frequency of the electronic file is lower than a preset threshold, so that the higher management system collects or analyzes other files delivered by the community file management systems of different communities and corresponding to the electronic file.
For example, when a person or a vehicle rarely passes through or enters or exits the community, and the update frequency of the electronic file for the person or the vehicle is less than 1 time/month, the electronic file is uploaded to the superior management system, the superior management system collects the electronic files corresponding to the person or the vehicle from each community, and then the superior management system performs behavior analysis on the person or the vehicle according to the electronic files collected from a larger range, such as 10 or 50 communities. By applying the embodiment of the invention, the useless electronic files are prevented from occupying the storage space of the community, and meanwhile, the information fragments can be integrated in a larger range, so that abnormal personnel or vehicles can be effectively screened out by analyzing the target behaviors.
It is understood that the analysis method of the target behavior is the prior art, and is not described herein.
In a specific implementation manner of the embodiment of the present invention, in order to ensure the security of a community, the big data processing module is configured to immediately deliver the electronic personnel files of key personnel and the electronic vehicle files of key vehicles, which are collected by the community, to an upper management system, where the key personnel include: the card swiping times of case-related personnel or persons exceeding the authority issued by the police department exceed the set times; the key vehicles are: vehicles to be key checked issued by the police department, and vehicles with inconsistent vehicle information in the files and vehicle management information.
For example, for a behavior that the same person frequently tries to enter an unauthorized building by using the access card twice a day, for example, two consecutive days, the person corresponding to the behavior can be identified as a key person; in addition, the file management system can be networked with a public security department, files such as a collaborative investigation notice and wanted orders sent by the public security department are received, and personnel feature matching is carried out in the community according to the information of the personnel in the files. For the vehicle, the archive management system matches the identified characteristic information of the vehicle with the related information of the vehicle stored in the vehicle management department, if the characteristic information of the vehicle is different from the related information of the vehicle stored in the vehicle management department, the vehicle can be identified as a key vehicle, and the traffic management department can be timely informed to process the key vehicle.
The above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (6)
1. A community archive management system, said system comprising: a video processing module, a file storage module and a big data processing module, wherein,
the video processing module is used for utilizing monitoring to shoot images in the community and extracting personnel features contained in the images, wherein the personnel features comprise: one or a combination of time, location, gender, height, facial features data, clothing data;
the file storage module is used for establishing a personnel electronic file for each personnel in the community and storing the personnel characteristics extracted by the video processing module into the corresponding personnel electronic file; wherein the people within the community include: one or a combination of pedestrians, visitors, regular living population and fixed population;
and the big data processing module is used for carrying out data mining and data analysis on the files stored in the file storage module.
2. The community archive management system of claim 1, wherein said electronic personnel archive further comprises: the personnel building code, the information of the affiliated district, the unit number, the room number, the floor information, the renting room information and the owner information.
3. The community archive management system of claim 1, wherein the video processing module is further configured to capture images in the community by monitoring and extract vehicle features included in the images, and the vehicle features include: one or a combination of time, place, model, color, annual payment and license plate number;
the archive storage module is also used for establishing vehicle electronic archives for vehicles in the community and storing the vehicle characteristics extracted by the video processing module into the corresponding vehicle electronic archives.
4. The community archive management system of claim 3, wherein said video processing module is further configured to: performing feature extraction on the shot images of the vehicle and the shot images of the person by using a deep learning algorithm, wherein the deep learning algorithm comprises the following steps: one or a combination of convolutional neural networks, back-propagation neural networks.
5. The community file management system according to claim 4, wherein the big data processing module is configured to obtain an update frequency of the electronic file for each of the electronic files of the personnel and the electronic files of the vehicle, and when the update frequency of the electronic file is lower than a preset threshold, deliver the electronic file to a higher management system of the community file management system, so that the higher management system collects or analyzes other files delivered by the community file management systems of different communities and corresponding to the electronic file.
6. The community archive management system of claim 4, wherein the big data processing module is configured to deliver the electronic personnel archive of the key personnel and the electronic vehicle archive of the key vehicle collected by the community to the upper management system in real time, wherein the key personnel include: the card swiping times of case-related personnel or persons exceeding the authority issued by the police department exceed the set times; the key vehicles are: vehicles to be key checked issued by the police department, and vehicles with inconsistent vehicle information in the files and vehicle management information.
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