CN112330514B - Community public security information evaluation method, device, equipment and storage medium - Google Patents
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Abstract
The embodiment of the application discloses a community public security information evaluation method, a community public security information evaluation device, community public security information evaluation equipment and a storage medium. According to the technical scheme, the face detection data and the floor detection data in the community are collected, the floor incidence relation between the face and the floor is analyzed and judged according to the face detection data and the floor data, the detected face detection data are subjected to collision analysis in the registered population library, whether the personnel corresponding to the face detection data are registered or not and the living state of the floor is determined, whether abnormal conditions exist in the personnel or the floor can be evaluated according to the registration of the personnel and the living state, the corresponding personnel or the floor are subjected to targeted management according to the evaluation conditions, real-time evaluation of community public security information is achieved, and the management efficiency of community public security is improved.
Description
Technical Field
The embodiment of the application relates to the technical field of public security, in particular to a community public security information evaluation method, a community public security information evaluation device, community public security information evaluation equipment and a storage medium.
Background
With the development of cities, more and more people choose to work and live in the cities, and community forms such as city village rental houses, commercial hosted apartment buildings, floating population residential districts and the like are continuously emerged in the cities. Most of the buildings in the form of the building exist in both long renting and short renting, and the living amount of the floating population is large.
The current city floating personnel quantity is huge, personnel's composition is complicated, mobility is big, and personnel's condition is difficult to master, faces a large amount of floating population, easily causes public security hidden danger, needs to collect public security information such as community population to carry out orderly management to community public security.
At present, community population can only be subjected to registration management one by one, but in the face of community population of a plurality of buildings with large data volume and distributed in the whole community, workers can only perform one-time acquisition, and the real-time evaluation of population registration state in the community is difficult.
Disclosure of Invention
The embodiment of the application provides a method, a device, equipment and a storage medium for evaluating community public security information, so as to realize real-time evaluation on the community public security information and improve the management efficiency of community public security.
In a first aspect, an embodiment of the present application provides a method for evaluating community public security information, including:
acquiring human face detection data acquired based on community camera shooting acquisition equipment and floor detection data obtained by detecting the activities of people on floors;
building a floor incidence relation between the face and the floor based on the face detection data and the floor detection data;
and performing collision analysis on the face detection data and a registered population library, and analyzing by combining the floor incidence relation to obtain a registered state analysis result.
Further, the floor detection data includes floor stop data and/or floor activity data detected based on the floor sensing device.
Further, the building of the floor association relationship between the human face and the floor based on the human face detection data and the floor detection data includes:
analyzing the floor association degree of the face and the floor based on the face detection data and the floor detection data;
and determining the floor association relationship between the human face and the floor based on the floor association degree.
Further, the performing collision analysis on the face detection data and a registered population library, and obtaining a registration state analysis result by combining with the floor association analysis includes:
performing collision analysis on the face detection data and a registered population library to determine detected registered personnel and unregistered personnel;
and determining the living condition of the registered person, the living condition of the unregistered person and the living condition of the floor according to the floor association relation.
Further, after acquiring the face detection data acquired by the community-based camera shooting acquisition device and the floor detection data acquired by detecting the activity of the people on the floor, the method further comprises the following steps:
performing collision analysis on the face detection data and an actual population library to determine detected resident persons and persons not stored in the database, wherein the resident persons are registered in the actual population library;
and determining whether to register the people not entering the warehouse in the real population warehouse or not according to the accumulated occurrence condition of the people not entering the warehouse.
Further, after acquiring the face detection data acquired by the community-based camera shooting acquisition device and the floor detection data acquired by detecting the activity of the people on the floor, the method further comprises the following steps:
and performing collision analysis on the face detection data and a specific personnel library, and analyzing the detection time of the face detection data to obtain a behavior state analysis result.
Further, the performing collision analysis on the face detection data and a specific personnel database, and obtaining a behavior state analysis result by combining with detection time analysis of the face detection data includes:
performing collision analysis on the face detection data and a specific personnel library to determine detected specific personnel and general personnel;
determining the activity time of the specific person and the general person according to the detection time of the face detection data;
determining a specific behavioral state of the specific person and a general behavioral state of the general person based on the activity time.
In a second aspect, an embodiment of the present application provides a community public security information evaluation device, including a data acquisition module, a floor association module, and a registration analysis module, wherein:
the data acquisition module is used for acquiring human face detection data acquired by community camera shooting acquisition equipment and floor detection data obtained by detecting the activities of people on floors;
the floor association module is used for establishing a floor association relationship between the face and the floor based on the face detection data and the floor detection data;
and the registration analysis module is used for performing collision analysis on the face detection data and a registered population library and obtaining a registration state analysis result by combining with the floor incidence relation analysis.
Further, the floor detection data includes floor stop data and/or floor activity data detected based on the floor sensing device.
Further, the floor association module is specifically configured to:
analyzing the floor association degree of the face and the floor based on the face detection data and the floor detection data;
and determining the floor association relationship between the human face and the floor based on the floor association degree.
Further, the registration analysis module is specifically configured to:
performing collision analysis on the face detection data and a registered population library to determine detected registered personnel and unregistered personnel;
and determining the living condition of the registered person, the living condition of the unregistered person and the living condition of the floor according to the floor association relation.
Further, the device further comprises a real population updating module, which is used for acquiring the human face detection data acquired by the community camera shooting acquisition equipment and the floor detection data acquired by detecting the activity of the personnel on the floor after the data acquisition module acquires the human face detection data acquired by the community camera shooting acquisition equipment and the floor detection data acquired by detecting the activity of the personnel on the floor:
performing collision analysis on the face detection data and an actual population library to determine detected resident persons and persons not stored in the database, wherein the resident persons are registered in the actual population library;
and determining whether to register the people not entering the warehouse in the real population warehouse or not according to the accumulated occurrence condition of the people not entering the warehouse.
Further, the device further comprises a state analysis module, which is used for acquiring the human face detection data acquired by the community camera shooting acquisition equipment and the floor detection data acquired by detecting the activity of the personnel on the floor after the data acquisition module acquires the human face detection data and the floor detection data acquired by detecting the activity of the personnel on the floor:
and performing collision analysis on the face detection data and a specific personnel library, and analyzing the detection time of the face detection data to obtain a behavior state analysis result.
Further, the state analysis module is specifically configured to:
performing collision analysis on the face detection data and a specific personnel library to determine detected specific personnel and general personnel;
determining the activity time of the specific person and the general person according to the detection time of the face detection data;
determining a specific behavioral state of the specific person and a general behavioral state of the general person based on the activity time.
In a third aspect, an embodiment of the present application provides a computer device, including: a memory and one or more processors;
the memory to store one or more programs;
when executed by the one or more processors, cause the one or more processors to implement the community public safety information assessment method of the first aspect.
In a fourth aspect, embodiments of the present application provide a storage medium containing computer-executable instructions for performing the community security information assessment method according to the first aspect when executed by a computer processor.
According to the embodiment of the application, the face detection data and the floor detection data in the community are collected, the floor incidence relation between the face and the floor is analyzed and judged according to the face detection data and the floor detection data, the detected face detection data are subjected to collision analysis in the registered population library, whether the person corresponding to the face detection data is registered or not and the living state of the person on the floor are determined, whether abnormal conditions exist in the person or the floor can be evaluated according to the registration and the living state of the person, the person corresponding to the face detection data or the floor is subjected to targeted management according to the evaluation conditions, real-time evaluation of community public security information is achieved, and the management efficiency of community public security is improved.
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Fig. 1 is a flowchart of a community public security information evaluation method according to an embodiment of the present application;
fig. 2 is a flowchart of another community public security information evaluation method provided in the embodiment of the present application;
FIG. 3 is a flowchart of another community public security information evaluation method provided in an embodiment of the present application;
fig. 4 is a schematic structural diagram of a community public security information evaluation device according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of a computer device according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, specific embodiments of the present application will be described in detail with reference to the accompanying drawings. It is to be understood that the specific embodiments described herein are merely illustrative of and not restrictive on the broad application. It should be further noted that, for the convenience of description, only some but not all of the relevant portions of the present application are shown in the drawings. Before discussing exemplary embodiments in more detail, it should be noted that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although a flowchart may describe the operations (or steps) as a sequential process, many of the operations can be performed in parallel, concurrently, or simultaneously. In addition, the order of the operations may be re-arranged. The process may be terminated when its operations are completed, but could have additional steps not included in the figure. The processes may correspond to methods, functions, procedures, subroutines, subprograms, and the like.
Fig. 1 is a flowchart of a community public security information evaluation method according to an embodiment of the present application, where the community public security information evaluation method according to the embodiment of the present application may be executed by a community public security information evaluation device, and the community public security information evaluation device may be implemented in a hardware and/or software manner and integrated in a computer device.
The following description will be given taking as an example a method for the community public security information evaluation device to execute the community public security information evaluation. Referring to fig. 1, the community public security information evaluation method includes:
s101: the method comprises the steps of obtaining face detection data collected by community camera shooting collection equipment and floor detection data obtained by detecting the activities of people on floors.
The community camera shooting and collecting equipment can be a camera shooting device arranged at the position where people enter the building, such as the first floor of the community building, the elevator room of a garage floor and the like. Optionally, the image capturing device analyzes the face in the picture and generates face detection data while capturing the picture, or the captured picture is transmitted back to the evaluation device and then the evaluation device performs face analysis to obtain the face detection data.
Further, the floor detection data is obtained by detecting based on the movement of the person on the floor, which reflects the movement of the person on the floor (for example, movement such as getting in or out of the elevator, opening an entrance guard, waking up a corridor lamp, walking in the corridor), and can be obtained by detecting through a floor sensing device (such as a human body sensor, a sound sensor, a button switch, an entrance guard device, a human body detection camera, and the like) and floor sensing equipment such as an elevator, that is, the floor detection data corresponding to the floor is generated when the floor sensing equipment is triggered (the equipment triggering the floor or the human body entering the floor is detected) and the elevator door is opened. Correspondingly, the floor detection data that this embodiment provided includes floor stop data and the floor activity data that obtains based on floor sensing equipment detects, reflects personnel respectively and gets into the floor or move about in the floor from the elevator. Wherein the floor stop data is provided by the elevator control system in dependence of the stopping situation of the elevator.
Illustratively, the face detection data generated by the community camera shooting acquisition equipment and the floor detection data generated by the floor detection equipment are acquired in real time, and the acquired face detection data and the acquired floor detection data are respectively stored in a face detection database and a floor detection database.
S102: and establishing a floor incidence relation between the face and the floor based on the face detection data and the floor detection data.
Illustratively, it is determined that a person enters a building according to face detection data detected at a position where the person enters the building, such as a first floor of the building, a garage floor elevator room, and the like, and a floor where the corresponding person enters is determined according to floor detection data detected at corresponding time (time within a set time length after the detection time of the corresponding face detection data), and a floor association relationship between the corresponding face and the floor is established.
Optionally, when the floor association relationship is established, the floor association relationship between the corresponding face and the floor may be established only when the number of times of correspondence between the face and the floor reaches the preset number of times requirement. It is understood that a floor may correspond to multiple faces, i.e. a floor may have multiple persons living or moving, and similarly, a face may correspond to multiple floors, i.e. a person may live or move on multiple floors of the same building, or a person may live or move on multiple buildings.
S103: and performing collision analysis on the face detection data and a registered population library, and analyzing by combining the floor incidence relation to obtain a registered state analysis result.
The registered population database provided by this embodiment records personnel data (names, registered residences, etc.) of registered population in the community and registered face data of corresponding personnel, where the registered face data may be acquired by a camera device while collecting the personnel data, or acquired by a camera acquisition device provided in the community, and the face detection data is determined as the registered face data corresponding to the personnel data by corresponding to the personnel data.
Optionally, the correspondence between the face detection data and the personnel data may be determined by the association degree of the face detection data and a residence registered in the personnel data, or further by manually determining the association relationship between the face detection data and the personnel data, or by performing face matching on an identification card photo or a personal photo of the face detection data and the personnel data.
Illustratively, the face detection data is subjected to collision analysis with the registered population database, that is, the face detection data is subjected to comparison matching analysis with the registered face data, so as to determine whether the registered face data matched with the face detection data exists in the registered population database.
Further, whether the person corresponding to the face detection data is a registered person or an unregistered person is determined according to the collision analysis result, whether the registered person and the unregistered person are actual resident persons of the community is determined according to the floor association relation, the floor where the resident person is not registered is determined, but the floor where the resident person is actually present is determined, the registration states of the registered person, the unregistered person and the floor are determined, and the registration state analysis result is obtained.
In a possible embodiment, after performing collision analysis on the face detection data and a registered population database and obtaining a registration state analysis result by combining with the floor association analysis, the community public security information evaluation method further includes: and responding to the registration state analysis result pointing to the person abnormity and/or the floor abnormity, and performing registration state abnormity reminding.
Optionally, the registration state exception reminder may be forwarded to the corresponding management department according to the type of the exception state, and the registration population library is updated according to the actual registration state of the person or the floor, so as to form an efficient data verification closed loop.
The face detection data and the floor detection data in the community are collected, the floor incidence relation between the face and the floor is analyzed and judged according to the face detection data and the floor detection data, the detected face detection data are subjected to collision analysis in the registered population library, whether the person corresponding to the face detection data is registered or not and the living state of the floor is determined, whether abnormal conditions exist in the person or the floor can be evaluated according to the registration and the living state of the person, the corresponding person or the floor is subjected to targeted management according to the evaluation condition, real-time evaluation of community public security information is achieved, and the management efficiency of community public security is improved.
On the basis of the foregoing embodiment, fig. 2 is a flowchart of another community public security information evaluation method provided in the embodiment of the present application, and the community public security information evaluation method is an embodiment of the community public security information evaluation method. Referring to fig. 2, the community public security information evaluation method includes:
s201: the method comprises the steps of obtaining face detection data collected by community camera shooting collection equipment and floor detection data obtained by detecting the activities of people on floors.
S202: and analyzing the floor association degree of the face and the floor based on the face detection data and the floor detection data.
Specifically, it is determined that a person enters the building according to face detection data detected at a position where the person enters the building, such as a first floor of the building, a garage floor elevator room, and the like, and floor detection data detected at the building for a corresponding time (a time within a set time length after the detection time corresponding to the face detection data) is acquired, and a floor where the person corresponding to the face detection data enters is judged according to the floor detection data.
And further, judging the floor association degree between the human face and the floor according to the number of times and/or frequency of the people entering the floor. It will be appreciated that the more times a floor is entered, or the more frequently a floor is entered, the more closely a person's face is associated with a floor of the floor. Optionally, corresponding base numbers may be set for the number of times of entering a floor and the frequency, respectively, and a score value obtained by adding the base numbers determined according to the number of times and the frequency is used as the degree of association of the floor.
S203: and determining the floor association relationship between the human face and the floor based on the floor association degree.
Specifically, after the floor association degree of the face and the floor is determined, whether the floor association degree reaches a preset association degree is judged, and an association relation between the face and the floor is established, wherein the floor association degree reaches the preset association degree.
S204: and performing collision analysis on the face detection data and a registered population library to determine the detected registered personnel and the detected unregistered personnel.
Specifically, the detected face detection data is subjected to collision analysis with a registered population library, that is, the face detection data is compared and matched in the registered population library, if the registered face data in the registered population library is successfully matched, a person corresponding to the face detection data is determined as a registered person, and if the registered face data is not successfully matched, the person corresponding to the face detection data is determined as an unregistered person.
Optionally, a non-registered person library is established for recording non-registered persons. When it is determined that an unregistered person is detected, if the unregistered person is already recorded in the unregistered person repository, the unregistered person is bound with an unregistered person in the unregistered person repository, and if the unregistered person is not recorded in the unregistered person repository, an unregistered person profile is newly created in the unregistered person repository based on the unregistered person. The unregistered person library can record historical floor detection data corresponding to unregistered persons and the floor association relation of floors.
S205: and determining the living condition of the registered person, the living condition of the unregistered person and the living condition of the floor according to the floor association relation.
Specifically, the living state of the person of each registered person, the living state of the person of the unregistered person, and the living state of the floor are determined in association with the floor association and the registered population pool.
Wherein the living condition of the registered person includes a registered normal living condition indicating that the corresponding floor of the registered person is consistent with the registered residence and a registered abnormal living condition indicating that the floor is inconsistent with the registered residence; the resident condition of the unregistered person includes an unregistered abnormal condition indicating that the person is unregistered but actually resides and a first visiting condition indicating that the person visits for the first time in conjunction with a public security event; the floor living state of the floor includes a registered living state in which the floor normally lives and an unregistered living state in which the floor is not registered but actually lives. Furthermore, whether suspicious floors exist or not can be analyzed by combining whether the use condition of the floor materials exceeds the normal use range, and then the floor activity property of the floors can be judged. For example, it is determined whether the floor is out of the normal use range of the registered number of resident persons based on whether the electricity consumption for water use of the floor is out of the normal use range, and if the electricity consumption for water use of the floor is out of the normal use range, it is determined that there is a floor activity property in which the number of resident persons is abnormal in the corresponding floor.
In one possible embodiment, the abnormity reminding can be performed in response to the living state reflecting the abnormity of the personnel or the floors, and the collected data is forwarded to the corresponding data monitoring terminal according to the abnormity type so that the corresponding data monitoring terminal can remind the staff to confirm on site.
The face detection data and the floor detection data in the community are collected, the floor incidence relation between the face and the floor is analyzed and judged according to the face detection data and the floor detection data, the detected face detection data are subjected to collision analysis in the registered population library, whether the person corresponding to the face detection data is registered or not and the living state of the floor is determined, whether abnormal conditions exist in the person or the floor can be evaluated according to the registration and the living state of the person, the corresponding person or the floor is subjected to targeted management according to the evaluation condition, real-time evaluation of community public security information is achieved, and the management efficiency of community public security is improved. Whether the personnel live normally and whether the renting floors register normally are judged according to the living states of the personnel and the floors, and fine real-time management of community public security information is improved.
On the basis of the foregoing embodiment, fig. 3 is a flowchart of another community public security information evaluation method provided in the embodiment of the present application, and the community public security information evaluation method is an embodiment of the community public security information evaluation method. Referring to fig. 3, the method for evaluating community public security information includes:
s301: the method comprises the steps of obtaining face detection data collected based on community camera shooting collection equipment and floor detection data obtained by detecting the activities of people on floors.
S302: and establishing a floor incidence relation between the face and the floor based on the face detection data and the floor detection data.
S303: and performing collision analysis on the face detection data and a registered population library, and analyzing by combining the floor incidence relation to obtain a registered state analysis result.
S304: and performing collision analysis on the face detection data and an actual population library to determine detected resident persons and persons not stored in the database, wherein the resident persons are registered in the actual population library.
The real population library records personnel data of real resident personnel in the community and registered face data. Optionally, the real population library provided in this embodiment may be determined based on the registered population library provided in the above embodiment or may be constructed based on the community real population.
Further, on the basis of the above embodiment, the face detection data provided by this embodiment is also provided by the camera devices installed at the entrance and exit of the community, that is, the face information of all the people entering the community is collected to obtain the face detection data.
Specifically, collision analysis is performed on the collected face detection data and registered face data in the real population library, whether the registered face data are successfully matched in the real population library is judged, it is determined that a person corresponding to the successfully matched face detection data is a resident person, and a person who is not successfully matched is determined as a person who is not registered in the real population library and is not put in a storage.
S305: and determining whether to register the people not entering the warehouse in the real population warehouse or not according to the accumulated occurrence condition of the people not entering the warehouse.
Specifically, non-warehousing personnel files are established for non-warehousing personnel, the accumulated occurrence conditions are recorded, the occurrence time of each time is recorded, and the corresponding non-warehousing personnel files are deleted when the non-warehousing personnel are registered in the real population warehouse.
When people not in storage are detected, face data matching is carried out based on established files of people not in storage, whether people not in storage are detected in the past or not is judged, when the people not in storage are determined not to be detected in the past, files of people not in storage are created for the people not in storage, the accumulated occurrence condition of the files is recorded as one occurrence, and the occurrence time is recorded. And when matching the person files which are not put in storage and have consistent face data, adding one to the occurrence frequency of the cumulative occurrence record, and recording the occurrence time (the time stamp corresponding to the face detection data).
Further, after the file of the non-warehoused people is updated, whether the frequency corresponding to the cumulative occurrence or the frequency occurring within a period of time reaches a preset real population occurrence standard (for example, 10-20 cumulative occurrences or 5-10 occurrences in one week on average) is judged, and the non-warehoused people with the cumulative occurrence reaching the real population occurrence standard are registered in the real population repository.
In one possible embodiment, when the accumulated occurrence condition of the non-warehousing personnel reaches the occurrence reference of the real population, reminding the non-warehousing real population, and determining whether to register the non-warehousing personnel in the real population library according to the warehousing control operation.
S306: and performing collision analysis on the face detection data and a specific personnel library, and analyzing the detection time of the face detection data to obtain a behavior state analysis result.
Wherein specific person information and specific face data of specific concerned persons (such as people at the bottom of a table, people involved in stability, and the like, which threaten the public security) are registered in the specific person library.
The behavior state analysis result is used for reflecting the degree of threat to community public security caused by the activity time of the detected personnel, wherein the behavior state comprises the specific behavior state of the specific personnel and the general behavior state of the general personnel. Specifically, the determination process of the behavior state analysis result includes steps S3061 to S3063:
s3061: and performing collision analysis on the face detection data and a specific personnel library to determine the detected specific personnel and general personnel.
Specifically, the face detection data and the specific person library are subjected to collision analysis, that is, the face detection data and the specific face data in the specific person library are compared and matched, a person corresponding to successfully matched face detection data is determined as a specific person, and a person corresponding to unsuccessfully matched face detection data is determined as a general person.
S3062: and determining the activity time of the specific person and the general person according to the detection time of the face detection data.
S3063: determining a specific behavioral state of the specific person and a general behavioral state of the general person based on the activity time.
Specifically, the activity time of a specific person and the activity time of a general person are recorded based on the detection time (timestamp) of the face detection data or the entrance guard data, and the specific behavior state of the specific person and the general behavior state of the general person are determined according to the activity time. For example, the behavior state is determined to be multiple times of night and day, frequent night return, day, work and night, and the like according to the activity time.
In one possible embodiment, corresponding state reminding strategies are set for specific personnel and general personnel respectively, and when the specific personnel or the general personnel are determined to be in a behavior state reflecting that the personnel can cause public security threats to the community, abnormal behavior reminding is performed so as to remind the staff of timely follow-up processing. It can be understood that the state reminding strategy corresponding to a specific person is stricter than the state reminding strategy corresponding to a general person, that is, a specific person in the same behavior state can trigger the behavior abnormality reminding more easily.
The face detection data and the floor detection data in the community are collected, the floor incidence relation between the face and the floor is analyzed and judged according to the face detection data and the floor detection data, the detected face detection data are subjected to collision analysis in the registered population library, whether the person corresponding to the face detection data is registered or not and the living state of the floor is determined, whether abnormal conditions exist in the person or the floor can be evaluated according to the registration and the living state of the person, the corresponding person or the floor is subjected to targeted management according to the evaluation condition, real-time evaluation of community public security information is achieved, and the management efficiency of community public security is improved. Meanwhile, the real population database is updated in real time according to the accumulated occurrence condition of the people, the information of the real resident people is updated, the accuracy rate of real population data is improved, the condition that the information of the resident people cannot be found, checked and updated in the past many times of manual visits is changed, the behavior state of the people is detected according to the activity time, the people with abnormal behaviors are found in time and are processed in time, and the timeliness and the effectiveness of public security of the community are effectively improved.
Fig. 4 is a schematic structural diagram of a community public security information evaluation device according to an embodiment of the present application. Referring to fig. 4, the community public security information evaluation device includes a data acquisition module 41, a floor association module 42, and a registration analysis module 43.
The data acquisition module 41 is configured to acquire face detection data acquired by a community camera acquisition device and floor detection data obtained by detecting activities of people on floors; a floor association module 42, configured to establish a floor association relationship between a face and a floor based on the face detection data and the floor detection data; and the registration analysis module 43 is configured to perform collision analysis on the face detection data and a registered population library, and obtain a registration state analysis result by combining with the floor association analysis.
The face detection data and the floor detection data in the community are collected, the floor incidence relation between the face and the floor is analyzed and judged according to the face detection data and the floor detection data, the detected face detection data are subjected to collision analysis in the registered population library, whether the person corresponding to the face detection data is registered or not and the living state of the floor is determined, whether abnormal conditions exist in the person or the floor can be evaluated according to the registration and the living state of the person, the corresponding person or the floor is subjected to targeted management according to the evaluation condition, real-time evaluation of community public security information is achieved, and the management efficiency of community public security is improved.
In a possible embodiment said floor detection data comprises floor landing data and/or floor activity data based on detection by floor sensing devices.
In one possible embodiment, the floor association module 42 is specifically configured to:
analyzing the floor association degree of the face and the floor based on the face detection data and the floor detection data;
and determining the floor association relationship between the human face and the floor based on the floor association degree.
In a possible embodiment, the registration analysis module 43 is specifically configured to:
performing collision analysis on the face detection data and a registered population library to determine detected registered personnel and unregistered personnel;
and determining the resident state of the registered person, the resident state of the unregistered person and the resident state of the floor according to the floor association relation.
In a possible embodiment, the apparatus further includes a real population updating module, configured to, after the data acquisition module 41 acquires the face detection data acquired by the community camera acquisition device and the floor detection data detected based on the activity of the person on the floor:
performing collision analysis on the face detection data and an actual population library to determine detected resident persons and persons not stored in the database, wherein the resident persons are registered in the actual population library;
and determining whether to register the people not entering the warehouse in the real population warehouse or not according to the accumulated occurrence condition of the people not entering the warehouse.
In a possible embodiment, the apparatus further includes a state analysis module, configured to, after the data acquisition module 41 acquires the face detection data acquired based on the community camera shooting acquisition device and the floor detection data obtained based on the detection of the activity of the person on the floor:
and performing collision analysis on the face detection data and a specific personnel library, and analyzing the detection time of the face detection data to obtain a behavior state analysis result.
In a possible embodiment, the state analysis module is specifically configured to:
performing collision analysis on the face detection data and a specific personnel library to determine detected specific personnel and general personnel;
determining the activity time of the specific person and the general person according to the detection time of the face detection data;
determining a specific behavioral state of the specific person and a general behavioral state of the general person based on the activity time.
The embodiment of the application further provides a computer device, and the computer device can integrate the community public security information evaluation device provided by the embodiment of the application. Fig. 5 is a schematic structural diagram of a computer device according to an embodiment of the present application. Referring to fig. 5, the computer apparatus includes: an input device 53, an output device 54, a memory 52, and one or more processors 51; the memory 52 for storing one or more programs; when the one or more programs are executed by the one or more processors 51, the one or more processors 51 are enabled to implement the method for evaluating community public security information as provided in the above embodiments. Wherein the input device 53, the output device 54, the memory 52 and the processor 51 may be connected by a bus or other means, as exemplified by the bus connection in fig. 5.
The memory 52 is a storage medium readable by a computing device and can be used for storing software programs, computer executable programs, and modules, such as program instructions/modules corresponding to the community public security information evaluation method according to any embodiment of the present application (for example, the data collection module 41, the floor association module 42, and the registration analysis module 43 in the community public security information evaluation device). The memory 52 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required for at least one function; the storage data area may store data created according to use of the device, and the like. Further, the memory 52 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some examples, the memory 52 may further include memory located remotely from the processor 51, which may be connected to the device over a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The input device 53 may be used to receive input numeric or character information and generate key signal inputs relating to user settings and function control of the apparatus. The output device 54 may include a display device such as a display screen.
The processor 51 executes various functional applications and data processing of the device by running software programs, instructions and modules stored in the memory 52, so as to implement the above-mentioned community public security information evaluation method.
The community public security information evaluation device, equipment and computer provided by the embodiment can be used for executing the community public security information evaluation method provided by any embodiment, and have corresponding functions and beneficial effects.
The embodiment of the present application further provides a storage medium containing computer executable instructions, which when executed by a computer processor, are configured to perform the community public security information evaluation method provided in the foregoing embodiment, where the community public security information evaluation method includes: acquiring human face detection data acquired based on community camera shooting acquisition equipment and floor detection data obtained by detecting the activities of people on floors; building a floor incidence relation between the face and the floor based on the face detection data and the floor detection data; and performing collision analysis on the face detection data and a registered population library, and analyzing by combining the floor incidence relation to obtain a registered state analysis result.
Storage medium-any of various types of memory devices or storage devices. The term "storage medium" is intended to include: mounting media such as CD-ROM, floppy disk, or tape devices; computer system memory or random access memory such as DRAM, DDR RAM, SRAM, EDO RAM, lanbas (Rambus) RAM, etc.; non-volatile memory, such as flash memory, magnetic media (e.g., hard disk or optical storage); registers or other similar types of memory elements, etc. The storage medium may also include other types of memory or combinations thereof. In addition, the storage medium may be located in a first computer system in which the program is executed, or may be located in a different second computer system connected to the first computer system through a network (such as the internet). The second computer system may provide program instructions to the first computer for execution. The term "storage medium" may include two or more storage media that may reside in different locations, such as in different computer systems that are connected via a network. The storage medium may store program instructions (e.g., embodied as a computer program) that are executable by one or more processors.
Of course, the storage medium provided in this embodiment of the present application includes computer-executable instructions, and the computer-executable instructions are not limited to the above-described community public security information evaluation method, and may also execute related operations in the community public security information evaluation method provided in any embodiment of the present application.
The device, the apparatus, and the storage medium for evaluating community public security information provided in the foregoing embodiments may execute the method for evaluating community public security information provided in any embodiment of the present application, and refer to the method for evaluating community public security information provided in any embodiment of the present application without detailed technical details described in the foregoing embodiments.
The foregoing is considered as illustrative only of the preferred embodiments of the invention and the principles of the technology employed. The present application is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present application has been described in more detail with reference to the above embodiments, the present application is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present application, and the scope of the present application is determined by the scope of the claims.
Claims (7)
1. A community public security information evaluation method is characterized by comprising the following steps:
the method comprises the steps of acquiring human face detection data acquired by community camera shooting acquisition equipment and floor detection data acquired by detecting the activities of people on floors, wherein the floor detection data are acquired by detecting a floor sensing device and the floor sensing equipment, and the floor sensing device comprises a human body sensor, a sound sensor, a button switch, an entrance guard device and a human body detection camera;
performing collision analysis on the face detection data and a specific personnel library, and analyzing the detection time of the face detection data to obtain a behavior state analysis result;
analyzing the floor association degree of the face and the floor based on the face detection data and the floor detection data, wherein the more times of entering the floor are, or the higher the frequency of entering the floor is, the higher the floor association degree of the face and the floor is; determining the floor association relationship between the human face and the floor based on the floor association degree;
and performing collision analysis on the face detection data and a registered population library, and obtaining a registered state analysis result by combining with the floor incidence relation analysis, wherein the method comprises the steps of performing collision analysis on the face detection data and the registered population library, determining detected registered people and unregistered people, and determining the resident state of the registered people, the resident state of the unregistered people and the floor resident state of a floor according to the floor incidence relation.
2. The community public security information assessment method according to claim 1, wherein said floor detection data comprises floor stop data and/or floor activity data based on detection by floor sensing devices.
3. The community public security information evaluation method according to claim 1, wherein after the obtaining of the face detection data collected by the community camera shooting collection device and the floor detection data obtained by detecting the activities of the people on the floor, the method further comprises:
performing collision analysis on the face detection data and an actual population library to determine detected resident persons and persons not stored in the database, wherein the resident persons are registered in the actual population library;
and determining whether to register the people not entering the warehouse in the real population warehouse or not according to the accumulated occurrence condition of the people not entering the warehouse.
4. The community public security information evaluation method according to claim 1, wherein the performing collision analysis on the face detection data and a specific personnel database and combining detection time analysis of the face detection data to obtain a behavior state analysis result comprises:
performing collision analysis on the face detection data and a specific personnel library to determine detected specific personnel and general personnel;
determining the activity time of the specific person and the general person according to the detection time of the face detection data;
determining a specific behavioral state of the specific person and a general behavioral state of the general person based on the activity time.
5. The utility model provides a community public security information evaluation device which characterized in that, includes data acquisition module, floor correlation module and registration analysis module, wherein:
the system comprises a data acquisition module, a community camera shooting acquisition device and a floor sensing device, wherein the data acquisition module is used for acquiring human face detection data acquired by the community camera shooting acquisition device and floor detection data acquired by detecting the activities of people on floors, the floor detection data are acquired by detecting through a floor sensing device and the floor sensing device, and the floor sensing device comprises a human body sensor, a sound sensor, a button switch, an access control device and a human body detection camera;
the state analysis module is used for carrying out collision analysis on the face detection data and a specific personnel library and obtaining a behavior state analysis result by combining detection time analysis of the face detection data;
the floor association module is used for analyzing the floor association degree of the face and the floor based on the face detection data and the floor detection data, wherein the more times of entering the floor are, or the higher the frequency of entering the floor is, the higher the floor association degree of the face and the floor is; determining the floor association relationship between the human face and the floor based on the floor association degree;
and the registration analysis module is used for performing collision analysis on the face detection data and a registered population library and obtaining a registration state analysis result by combining with the floor incidence relation analysis, wherein the collision analysis is performed on the face detection data and the registered population library, detected registered personnel and unregistered personnel are determined, and the personnel living state of the registered personnel, the personnel living state of the unregistered personnel and the floor living state of a floor are determined according to the floor incidence relation.
6. A computer device, comprising: a memory and one or more processors;
the memory to store one or more programs;
the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the community public security information assessment method of any of claims 1-4.
7. A storage medium containing computer-executable instructions, which when executed by a computer processor, are configured to perform the community security information assessment method of any one of claims 1-4.
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| CN109859426A (en) * | 2019-01-24 | 2019-06-07 | 广州市炬盾科技发展有限公司 | A kind of community security protection management system |
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