CN113225525A - Indoor monitoring method and system - Google Patents
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 36
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- 238000011156 evaluation Methods 0.000 claims description 13
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
- H04N7/181—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/44—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/44—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs
- H04N21/44016—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs involving splicing one content stream with another content stream, e.g. for substituting a video clip
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/80—Camera processing pipelines; Components thereof
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Abstract
The invention discloses an indoor monitoring method and a system, wherein the method comprises the following steps: the method comprises the steps of arranging a plurality of dome video cameras in a target room, connecting the dome video cameras with a preset server, arranging infrared sensors on working equipment in the target room, detecting human body infrared signals in a preset range of each working equipment by using the infrared sensors, realizing communication connection between each dome video camera and the infrared sensor in the shooting range of each dome video camera, shooting video of the target working equipment provided with the infrared sensors when one infrared sensor detects the human body infrared signals, acquiring target shooting video, editing target images of key operation steps of workers on the target working equipment in the target shooting video, improving monitoring efficiency, determining which equipment has faults according to the shooting video so as to carry out follow-up work such as quick maintenance and processing, and reducing the probability of risks and accidents of the working equipment due to the faults, the safety is improved.
Description
Technical Field
The invention relates to the technical field of environmental monitoring, in particular to an indoor monitoring method and system.
Background
With the development of electronic technology, the camera is not only used in video chat, but also used for taking pictures and monitoring indoor security and the like. The camera can shoot indoor pictures and send the pictures to the bound mobile terminal, a plurality of expensive working devices are arranged in a laboratory or a large-scale workshop, and because each working device has a high value, a plurality of cameras are required to be arranged in the laboratory or the large-scale workshop to monitor the safety of the indoor devices in the laboratory or the large-scale workshop, but the method has the following problems: because the flow of people in the laboratory or the large-scale workshop is large, the monitoring can not be carried out on each working device, and then the risk and the accident can not be timely known and follow-up maintenance can not be carried out when a certain working device breaks down, and the life safety of workers is influenced.
Disclosure of Invention
In view of the above-mentioned problems, the present invention provides an indoor monitoring method and system to solve the problems mentioned in the background art that the flow of people in a laboratory or a large-scale workshop is large, so that each working device cannot be monitored, and further, when a certain working device fails, the worker cannot know and maintain the working device in time, so that risks and accidents occur, and the life safety of the worker is affected.
An indoor monitoring method, comprising the following steps:
arranging a plurality of hemispherical video cameras in a target room, and connecting the hemispherical video cameras with a preset server;
arranging infrared sensors on the working equipment in the target room, and detecting human body infrared signals within a preset range of each working equipment by using the infrared sensors;
each dome video camera is in communication connection with an infrared sensor in the shooting range of the dome video camera;
when a certain infrared sensor detects a human body infrared signal, video shooting is carried out on target working equipment provided with the infrared sensor to obtain a target shooting video;
and editing a target image of a key operation step of a worker for the target working equipment in the target shooting video.
Preferably, after the plurality of dome video cameras are provided in the target room, the method further comprises:
determining a visual angle adjusting angle of each hemispherical video camera;
detecting whether indoor dead angles which cannot be shot by a plurality of hemispherical video cameras exist or not according to the visual angle adjusting angle of each hemispherical video camera and the indoor area of a target room, if so, adaptively adjusting the installation positions of the plurality of hemispherical video cameras to detect again until no indoor dead angles exist, otherwise, not needing to perform subsequent operation;
and checking whether the working parameters of each dome video camera are normal or not, and processing the plurality of dome video cameras according to the checking result.
Preferably, the step of arranging an infrared sensor on the working device in the target room includes:
determining the use frequency of each working device in all working devices in the target room;
determining an infrared detection range required to be set by each working device according to the use frequency of the working device;
searching different infrared sensors corresponding to the infrared detection range required to be set by each piece of working equipment in a preset database;
and each working device is provided with a matching infrared sensor corresponding to the infrared detection range required to be set.
Preferably, the connecting each dome video camera with the infrared sensor in the shooting range thereof in communication includes:
connecting each infrared sensor with the preset server;
determining a target infrared sensor in the shooting range of each dome video camera;
generating a shooting instruction according to the target infrared detection range of the target infrared sensor corresponding to each hemispherical video camera and the human body infrared signal characteristics;
generating an intelligent shooting program according to the shooting instruction and the control parameters of each hemispherical video camera;
and controlling a plurality of hemispherical video cameras by utilizing the preset server according to the intelligent shooting program.
Preferably, after a certain infrared sensor detects a human body infrared signal, the method further comprises:
acquiring a target human body infrared signal detected by the infrared sensor, and detecting the existence duration of the target human body infrared signal;
comparing the detected existence duration with a preset duration, and confirming that video shooting is not needed for the target working equipment when the detected existence duration is less than the preset duration;
when the detected existence duration is longer than or equal to the preset duration, verifying the identity safety of a target user corresponding to the target human body infrared signal;
and after the target user passes the verification, confirming that the target working equipment is subjected to video shooting.
Preferably, the video shooting is performed on the target working device provided with the infrared sensor, and the target shooting video is acquired, and the method comprises the following steps:
determining a target hemispherical video camera corresponding to the infrared sensor;
and determining whether a target user uses the target working equipment or not by using the target hemispherical video camera, if so, carrying out video shooting on the target working equipment to obtain a target shooting video, and otherwise, keeping a standby state.
Preferably, the key operation steps include: starting target working equipment, closing the target working equipment and adjusting parameters of the target working equipment;
the method further comprises the following steps: performing pixel enhancement processing on the target image to obtain a processed target image;
and uploading the processed target image to the preset server.
Preferably, the performing pixel enhancement processing on the target image to obtain a processed target image includes:
acquiring a target pixel value of each pixel in a target image, and marking a plurality of first pixels of which the target pixel values are greater than or equal to a preset pixel value;
calculating the approximate variance of each first pixel, and counting the brightness mean value of each first pixel;
constructing a pixel enhancement coefficient matrix based on the target image according to the approximate variance and the brightness mean value of each first pixel;
acquiring a gradient value of a target pixel value of each second pixel in the target image;
determining an extreme point in the gradient value of the target pixel value of each second pixel, and counting the target second pixels with the gradient values as the extreme points;
determining the arrangement positions of the target second pixels in all pixels in the target image, and determining extreme point distribution information of the pixel values of the target image according to the arrangement positions;
determining a central value and an edge value in the extreme point distribution information;
determining a central enhancement coefficient corresponding to the central value and an edge enhancement coefficient corresponding to the edge value;
calculating an enhancement adjustment coefficient of each second pixel according to the brightness value and the motion intensity value of each second pixel and the required central enhancement coefficient or edge enhancement coefficient;
and enhancing the second pixels in the target image according to the enhancement adjustment coefficient of each second pixel by using the pixel enhancement coefficient matrix to obtain the processed target image.
Preferably, after the target image of the key operation step of the worker for the target working device is clipped in the target shooting video, the method further comprises:
analyzing a target image of a worker for the key operation steps of the target working equipment to obtain the rationality index and proficiency of each key operation step of the worker;
calling the historical use times of the worker for the target working equipment and the total use times of all the working equipment in the target room by the worker;
calculating the use frequency of the staff for the target working equipment according to the historical use frequency of the staff for the target working equipment and the total use frequency of all the working equipment in the target room;
calculating the behavior abnormity coefficient of the worker according to the use frequency of the target working equipment by the worker and the rationality index and proficiency of each key operation step of the worker:
wherein k is the behavior anomaly coefficient of the worker, N is the number of key operation steps, SiExpressed as the rationality index, M, of the worker for the ith critical operating stepiExpressed as the proficiency of the worker on the ith key operation step, and P is expressed as the professional competence value of the worker, and the value is [5,10 ]]And theta is expressed as the frequency of use of the target work equipment by the worker, M1Expressed as the corresponding ideal use proficiency for the target working equipment under the use frequency of the working personnel for the target working equipment, e is expressed as a natural constant with the value of 2.72, a is expressed as an artificial adjustment factor of the target working equipment, and b is expressed as a utilization coefficient of the target working equipment;
constructing a preset evaluation set, and mapping a preset suspicious behavior characteristic attribute set to the preset evaluation set to obtain a fuzzy evaluation matrix;
analyzing the target attribute of each key operation step of the worker;
substituting the target attributes into the fuzzy evaluation matrix to obtain a characteristic value corresponding to each target attribute;
calculating the confidence coefficient of the worker according to the behavior abnormity coefficient of the worker and the characteristic value corresponding to each target attribute:
wherein g is the confidence coefficient of the staff, D is the number of the target attributes, and FjExpressed as the jth target attribute feature value, RjExpressed as a correction factor, Q, corresponding to the characteristic value of the jth target attributejFeature vector, L, expressed as the jth target attribute feature valuejThe weight value of the characteristic vector which is expressed as the characteristic value of the jth target attribute is represented, and delta is expressed as an average error factor when the target attribute is judged;
and confirming whether the confidence coefficient of the worker is larger than or equal to a preset threshold value, if so, confirming that the worker acts normally without subsequent operation, otherwise, confirming that the worker acts abnormally, and sending an alarm prompt.
An indoor monitoring system, the system comprising:
the system comprises a setting module, a setting module and a control module, wherein the setting module is used for setting a plurality of hemispherical video cameras in a target room and connecting the hemispherical video cameras with a preset server;
the detection module is used for arranging infrared sensors on the working equipment in the target room and detecting human body infrared signals within a preset range of each working equipment by using the infrared sensors;
the connecting module is used for realizing communication connection between each hemispherical video camera and the infrared sensor in the shooting range of the hemispherical video camera;
the shooting module is used for carrying out video shooting on target working equipment provided with the infrared sensor when one infrared sensor detects a human body infrared signal so as to obtain a target shooting video;
and the editing module is used for editing a target image of a key operation step of a worker on the target working equipment in the target shooting video.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention.
Fig. 1 is a flowchart of an indoor monitoring method according to the present invention;
FIG. 2 is another flowchart of an indoor monitoring method according to the present invention;
FIG. 3 is a flowchart illustrating a method for indoor monitoring according to the present invention;
fig. 4 is a schematic structural diagram of an indoor monitoring system provided in the present invention.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the exemplary embodiments below are not intended to represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present disclosure, as detailed in the appended claims.
With the development of electronic technology, the camera is not only used in video chat, but also used for taking pictures and monitoring indoor security and the like. The camera can shoot indoor pictures and send the pictures to the bound mobile terminal, a plurality of expensive working devices are arranged in a laboratory or a large-scale workshop, and because each working device has a high value, a plurality of cameras are required to be arranged in the laboratory or the large-scale workshop to monitor the safety of the indoor devices in the laboratory or the large-scale workshop, but the method has the following problems: because the flow of people in the laboratory or the large-scale workshop is large, the monitoring can not be carried out on each working device, and then the risk and the accident can not be timely known and follow-up maintenance can not be carried out when a certain working device breaks down, and the life safety of workers is influenced. In order to solve the above problem, the present embodiment discloses an indoor monitoring method.
An indoor monitoring method, as shown in fig. 1, includes the following steps:
s101, arranging a plurality of dome video cameras in a target room, and connecting the plurality of dome video cameras with a preset server;
step S102, arranging infrared sensors on the working equipment in the target room, and detecting human body infrared signals within a preset range of each working equipment by using the infrared sensors;
s103, realizing communication connection between each dome video camera and the infrared sensor in the shooting range of the dome video camera;
step S104, when a certain infrared sensor detects a human body infrared signal, video shooting is carried out on target working equipment provided with the infrared sensor, and a target shooting video is obtained;
and S105, editing a target image of a key operation step of the worker on the target working equipment in the target shooting video.
The working principle of the technical scheme is as follows: the method comprises the steps that a plurality of dome video cameras are arranged in a target room and connected with a preset server, infrared sensors are arranged on working equipment in the target room, human body infrared signals in a preset range of each working equipment are detected through the infrared sensors, each dome video camera is in communication connection with the infrared sensor in a shooting range of the dome video camera, when one infrared sensor detects the human body infrared signals, video shooting is conducted on the target working equipment provided with the infrared sensor, a target shooting video is obtained, and target images of key operation steps of workers on the target working equipment are edited in the target shooting video.
The beneficial effects of the above technical scheme are: the device has the advantages that the device can monitor people stream density and people stream track in a target room and can monitor working equipment installed in the target room by arranging the plurality of hemispherical video cameras, monitoring efficiency is improved, furthermore, whether a worker needs to use the target working equipment can be accurately determined by arranging the infrared sensor on each working equipment, then video shooting is carried out on the target working equipment, real-time monitoring work can be efficiently carried out on each working equipment, monitoring efficiency is further improved, meanwhile, follow-up work such as quick maintenance and treatment and the like can be carried out by determining which equipment fails according to shot videos, the probability that risks and accidents occur due to the failure of the working equipment is reduced, safety is improved, the problem that in the prior art, due to the fact that people flow in a laboratory or a large-scale workshop is large, monitoring cannot be carried out on each working equipment, and then the worker cannot timely know and follow-up maintenance work equipment fails when a certain working equipment fails is solved Thereby the repair takes place risk and accident, has influenced staff's life safety's problem.
In one embodiment, after the plurality of dome video cameras are disposed in the target room, the method further comprises:
determining a visual angle adjusting angle of each hemispherical video camera;
detecting whether indoor dead angles which cannot be shot by a plurality of hemispherical video cameras exist or not according to the visual angle adjusting angle of each hemispherical video camera and the indoor area of a target room, if so, adaptively adjusting the installation positions of the plurality of hemispherical video cameras to detect again until no indoor dead angles exist, otherwise, not needing to perform subsequent operation;
and checking whether the working parameters of each dome video camera are normal or not, and processing the plurality of dome video cameras according to the checking result.
The beneficial effects of the above technical scheme are: the plurality of hemispherical video cameras installed in the target room can be guaranteed to monitor the target room in an all-round mode, monitoring efficiency is further improved, furthermore, the plurality of hemispherical video cameras can be guaranteed to work stably and efficiently by checking working parameters of the plurality of hemispherical video cameras, and monitoring efficiency is further improved.
In one embodiment, as shown in fig. 2, the step of providing an infrared sensor on the working device in the target room includes:
step S201, determining the use frequency of each working device in all the working devices in the target room;
step S202, determining an infrared detection range required to be set by each working device according to the use frequency of the working device;
s203, searching different infrared sensors corresponding to the infrared detection ranges required to be set by each piece of working equipment in a preset database;
and S204, setting a matched infrared sensor corresponding to the infrared detection range required to be set on each working device.
The beneficial effects of the above technical scheme are: different infrared sensors are set according to the use frequency of each working device, so that the infrared sensors matched with the working devices can be reasonably selected according to the use condition of each working device in a targeted manner, the practicability is improved, and meanwhile, the human body infrared signal detection result of each working device is enabled to be more consistent with an example.
In one embodiment, the communicatively connecting each dome camera with an infrared sensor in the shooting range thereof includes:
connecting each infrared sensor with the preset server;
determining a target infrared sensor in the shooting range of each dome video camera;
generating a shooting instruction according to the target infrared detection range of the target infrared sensor corresponding to each hemispherical video camera and the human body infrared signal characteristics;
generating an intelligent shooting program according to the shooting instruction and the control parameters of each hemispherical video camera;
and controlling a plurality of hemispherical video cameras by utilizing the preset server according to the intelligent shooting program.
The beneficial effects of the above technical scheme are: the hemispherical video camera can be automatically controlled to carry out video shooting on the working equipment by generating the intelligent shooting program, manual operation is not needed, the labor cost is saved, meanwhile, intelligent control is also realized, and the practicability is further improved.
In one embodiment, as shown in fig. 3, after when a certain infrared sensor detects a human infrared signal, the method further includes:
s301, acquiring a target human body infrared signal detected by the infrared sensor, and detecting the existence duration of the target human body infrared signal;
step S302, comparing the detected existence duration with a preset duration, and confirming that video shooting is not needed for the target working equipment when the detected existence duration is less than the preset duration;
step S303, when the detected existence duration is longer than or equal to the preset duration, verifying the identity safety of a target user corresponding to the target human body infrared signal;
and step S304, after the target user passes the verification, confirming that the target working equipment is subjected to video shooting.
The beneficial effects of the above technical scheme are: whether the target working equipment is shot or not can be accurately determined by detecting the existence duration of the target human body infrared signal, the situation that the mistaken shooting video is uploaded to a preset server to occupy the system resources and the memory of the preset server is avoided, the stability is improved, furthermore, whether the target user has the permission to use the working equipment or not can be intelligently evaluated by verifying the identity safety of the target user, the situations that irrelevant personnel or illegal personnel enter a target room to steal experimental data and damage the working equipment are avoided, and the safety of the working equipment and the confidentiality of the experimental data are improved.
In one embodiment, the video shooting of the target working device provided with the infrared sensor and the acquisition of the target shooting video comprises the following steps:
determining a target hemispherical video camera corresponding to the infrared sensor;
and determining whether a target user uses the target working equipment or not by using the target hemispherical video camera, if so, carrying out video shooting on the target working equipment to obtain a target shooting video, and otherwise, keeping a standby state.
The beneficial effects of the above technical scheme are: the situation that the mistaken shooting video is uploaded to the preset server and occupies system resources and a memory of the preset server is further avoided, and the stability is improved.
In one embodiment, the critical operation steps include: starting target working equipment, closing the target working equipment and adjusting parameters of the target working equipment;
the method further comprises the following steps: performing pixel enhancement processing on the target image to obtain a processed target image;
and uploading the processed target image to the preset server.
The beneficial effects of the above technical scheme are: by performing pixel enhancement processing on the target image, an operator of the preset server can more accurately evaluate the working condition of the target working equipment according to the image, and meanwhile, the intention and operation safety of a target user can be determined according to the target image, so that the life safety and stability of the operator are further ensured.
In one embodiment, the performing pixel enhancement processing on the target image to obtain a processed target image includes:
acquiring a target pixel value of each pixel in a target image, and marking a plurality of first pixels of which the target pixel values are greater than or equal to a preset pixel value;
calculating the approximate variance of each first pixel, and counting the brightness mean value of each first pixel;
constructing a pixel enhancement coefficient matrix based on the target image according to the approximate variance and the brightness mean value of each first pixel;
acquiring a gradient value of a target pixel value of each second pixel in the target image;
determining an extreme point in the gradient value of the target pixel value of each second pixel, and counting the target second pixels with the gradient values as the extreme points;
determining the arrangement positions of the target second pixels in all pixels in the target image, and determining extreme point distribution information of the pixel values of the target image according to the arrangement positions;
determining a central value and an edge value in the extreme point distribution information;
determining a central enhancement coefficient corresponding to the central value and an edge enhancement coefficient corresponding to the edge value;
calculating an enhancement adjustment coefficient of each second pixel according to the brightness value and the motion intensity value of each second pixel and the required central enhancement coefficient or edge enhancement coefficient;
and enhancing the second pixels in the target image according to the enhancement adjustment coefficient of each second pixel by using the pixel enhancement coefficient matrix to obtain the processed target image.
The beneficial effects of the above technical scheme are: the method has the advantages that the first pixels with the pixel values larger than or equal to the preset pixel values in the target image can be used as data enhancement references by constructing the pixel enhancement coefficient matrix based on the target image, a large amount of data does not need to be called for evaluation, working efficiency is improved, the pixels of the enhanced target image are kept at the same brightness, good reference elements are provided for subsequent workers to evaluate faults of working equipment, experience of the workers is improved, further, the enhancement adjustment coefficients suitable for the second pixels can be obtained according to different distribution conditions of the second pixels by respectively obtaining the center enhancement coefficients and the edge enhancement coefficients and calculating the respective enhancement adjustment coefficients of the second pixels, and stability and comprehensiveness of pixel enhancement of the target image are guaranteed.
In one embodiment, after the target image of the key operation step of the worker for the target working device is clipped in the target shooting video, the method further comprises the following steps:
analyzing a target image of a worker for the key operation steps of the target working equipment to obtain the rationality index and proficiency of each key operation step of the worker;
calling the historical use times of the worker for the target working equipment and the total use times of all the working equipment in the target room by the worker;
calculating the use frequency of the staff for the target working equipment according to the historical use frequency of the staff for the target working equipment and the total use frequency of all the working equipment in the target room;
calculating the behavior abnormity coefficient of the worker according to the use frequency of the target working equipment by the worker and the rationality index and proficiency of each key operation step of the worker:
wherein k is the behavior anomaly coefficient of the worker, N is the number of key operation steps, SiExpressed as the rationality index, M, of the worker for the ith critical operating stepiExpressed as the proficiency of the worker on the ith key operation step, and P is expressed as the professional competence value of the worker, and the value is [5,10 ]]And theta is expressed as the frequency of use of the target work equipment by the worker, M1Expressed as the corresponding ideal use proficiency for the target working equipment under the use frequency of the working personnel for the target working equipment, e is expressed as a natural constant with the value of 2.72, a is expressed as an artificial adjustment factor of the target working equipment, and b is expressed as a utilization coefficient of the target working equipment;
constructing a preset evaluation set, and mapping a preset suspicious behavior characteristic attribute set to the preset evaluation set to obtain a fuzzy evaluation matrix;
analyzing the target attribute of each key operation step of the worker;
substituting the target attributes into the fuzzy evaluation matrix to obtain a characteristic value corresponding to each target attribute;
calculating the confidence coefficient of the worker according to the behavior abnormity coefficient of the worker and the characteristic value corresponding to each target attribute:
wherein g is the confidence coefficient of the staff, D is the number of the target attributes, and FjExpressed as the jth target attribute feature value, RjExpressed as a correction factor, Q, corresponding to the characteristic value of the jth target attributejFeature vector, L, expressed as the jth target attribute feature valuejThe weight value of the characteristic vector which is expressed as the characteristic value of the jth target attribute is represented, and delta is expressed as an average error factor when the target attribute is judged;
and confirming whether the confidence coefficient of the worker is larger than or equal to a preset threshold value, if so, confirming that the worker acts normally without subsequent operation, otherwise, confirming that the worker acts abnormally, and sending an alarm prompt.
The beneficial effects of the above technical scheme are: whether the worker has the intention of stealing experimental data or destroying a working instrument or not can be effectively evaluated by calculating the behavior abnormity index of the worker, so that the confidentiality of experimental data and the safety of working equipment are further ensured, the confidence coefficient of the worker can be calculated by utilizing a behavior characteristic judgment mode, the confidence coefficient of the worker can be comprehensively evaluated according to the external expression of the worker, the influence of artificial subjective factors is removed, the objectivity and the accuracy of a calculation result are ensured, a background worker can know the use condition of target working equipment at any time under the condition that the worker has an error in operating the instrument or has a destructive intention by setting an alarm mode, and the safety of the working equipment is further ensured.
The embodiment also discloses an indoor monitoring system, as shown in fig. 4, the system includes:
a setting module 401, configured to set a plurality of dome video cameras in a target room, and connect the plurality of dome video cameras with a preset server;
a detection module 402, configured to set an infrared sensor on a working device in the target room, and detect a human infrared signal within a preset range of each working device by using the infrared sensor;
the connecting module 403 is used for connecting each dome video camera with the infrared sensor in the shooting range of the dome video camera in a communication manner;
the shooting module 404 is configured to, when a certain infrared sensor detects a human body infrared signal, perform video shooting on target working equipment on which the infrared sensor is installed, and acquire a target shooting video;
and the clipping module 405 is used for clipping a target image of a key operation step of the worker on the target working equipment in the target shooting video.
The working principle and the advantageous effects of the above technical solution have been explained in the method claims, and are not described herein again.
It will be understood by those skilled in the art that the first and second terms of the present invention refer to different stages of application.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It will be understood that the present disclosure is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
Claims (10)
1. An indoor monitoring method is characterized by comprising the following steps:
arranging a plurality of hemispherical video cameras in a target room, and connecting the hemispherical video cameras with a preset server;
arranging infrared sensors on the working equipment in the target room, and detecting human body infrared signals within a preset range of each working equipment by using the infrared sensors;
each dome video camera is in communication connection with an infrared sensor in the shooting range of the dome video camera;
when a certain infrared sensor detects a human body infrared signal, video shooting is carried out on target working equipment provided with the infrared sensor to obtain a target shooting video;
and editing a target image of a key operation step of a worker for the target working equipment in the target shooting video.
2. The indoor monitoring method according to claim 1, wherein after the plurality of dome video cameras are provided in the target room, the method further comprises:
determining a visual angle adjusting angle of each hemispherical video camera;
detecting whether indoor dead angles which cannot be shot by a plurality of hemispherical video cameras exist or not according to the visual angle adjusting angle of each hemispherical video camera and the indoor area of a target room, if so, adaptively adjusting the installation positions of the plurality of hemispherical video cameras to detect again until no indoor dead angles exist, otherwise, not needing to perform subsequent operation;
and checking whether the working parameters of each dome video camera are normal or not, and processing the plurality of dome video cameras according to the checking result.
3. The indoor monitoring method according to claim 1, wherein the step of providing an infrared sensor on the working device in the target room comprises:
determining the use frequency of each working device in all working devices in the target room;
determining an infrared detection range required to be set by each working device according to the use frequency of the working device;
searching different infrared sensors corresponding to the infrared detection range required to be set by each piece of working equipment in a preset database;
and each working device is provided with a matching infrared sensor corresponding to the infrared detection range required to be set.
4. The indoor monitoring method according to claim 1, wherein the communicatively connecting each dome video camera with the infrared sensor in the shooting range thereof comprises:
connecting each infrared sensor with the preset server;
determining a target infrared sensor in the shooting range of each dome video camera;
generating a shooting instruction according to the target infrared detection range of the target infrared sensor corresponding to each hemispherical video camera and the human body infrared signal characteristics;
generating an intelligent shooting program according to the shooting instruction and the control parameters of each hemispherical video camera;
and controlling a plurality of hemispherical video cameras by utilizing the preset server according to the intelligent shooting program.
5. The indoor monitoring method according to claim 1, wherein after when a certain infrared sensor detects a human body infrared signal, the method further comprises:
acquiring a target human body infrared signal detected by the infrared sensor, and detecting the existence duration of the target human body infrared signal;
comparing the detected existence duration with a preset duration, and confirming that video shooting is not needed for the target working equipment when the detected existence duration is less than the preset duration;
when the detected existence duration is longer than or equal to the preset duration, verifying the identity safety of a target user corresponding to the target human body infrared signal;
and after the target user passes the verification, confirming that the target working equipment is subjected to video shooting.
6. The indoor monitoring method according to claim 5, wherein the video shooting of the target working device equipped with the infrared sensor to obtain the target shooting video comprises:
determining a target hemispherical video camera corresponding to the infrared sensor;
and determining whether a target user uses the target working equipment or not by using the target hemispherical video camera, if so, carrying out video shooting on the target working equipment to obtain a target shooting video, and otherwise, keeping a standby state.
7. The indoor monitoring method according to claim 1, wherein the key operation steps include: starting target working equipment, closing the target working equipment and adjusting parameters of the target working equipment;
the method further comprises the following steps: performing pixel enhancement processing on the target image to obtain a processed target image;
and uploading the processed target image to the preset server.
8. The indoor monitoring method according to claim 7, wherein the performing pixel enhancement processing on the target image to obtain a processed target image comprises:
acquiring a target pixel value of each pixel in a target image, and marking a plurality of first pixels of which the target pixel values are greater than or equal to a preset pixel value;
calculating the approximate variance of each first pixel, and counting the brightness mean value of each first pixel;
constructing a pixel enhancement coefficient matrix based on the target image according to the approximate variance and the brightness mean value of each first pixel;
acquiring a gradient value of a target pixel value of each second pixel in the target image;
determining an extreme point in the gradient value of the target pixel value of each second pixel, and counting the target second pixels with the gradient values as the extreme points;
determining the arrangement positions of the target second pixels in all pixels in the target image, and determining extreme point distribution information of the pixel values of the target image according to the arrangement positions;
determining a central value and an edge value in the extreme point distribution information;
determining a central enhancement coefficient corresponding to the central value and an edge enhancement coefficient corresponding to the edge value;
calculating an enhancement adjustment coefficient of each second pixel according to the brightness value and the motion intensity value of each second pixel and the required central enhancement coefficient or edge enhancement coefficient;
and enhancing the second pixels in the target image according to the enhancement adjustment coefficient of each second pixel by using the pixel enhancement coefficient matrix to obtain the processed target image.
9. The indoor monitoring method according to claim 1, wherein after a target image of a worker's key operation step for a target working device is clipped in the target captured video, the method further comprises:
analyzing a target image of a worker for the key operation steps of the target working equipment to obtain the rationality index and proficiency of each key operation step of the worker;
calling the historical use times of the worker for the target working equipment and the total use times of all the working equipment in the target room by the worker;
calculating the use frequency of the staff for the target working equipment according to the historical use frequency of the staff for the target working equipment and the total use frequency of all the working equipment in the target room;
calculating the behavior abnormity coefficient of the worker according to the use frequency of the target working equipment by the worker and the rationality index and proficiency of each key operation step of the worker:
wherein k is the behavior anomaly coefficient of the worker, N is the number of key operation steps, SiExpressed as the rationality index, M, of the worker for the ith critical operating stepiExpressed as the proficiency of the worker on the ith key operation step, and P is expressed as the professional competence value of the worker, and the value is [5,10 ]]And theta is expressed as the frequency of use of the target work equipment by the worker, M1Expressed as the corresponding ideal use proficiency for the target working equipment under the use frequency of the working personnel for the target working equipment, e is expressed as a natural constant with the value of 2.72, a is expressed as an artificial adjustment factor of the target working equipment, and b is expressed as a utilization coefficient of the target working equipment;
constructing a preset evaluation set, and mapping a preset suspicious behavior characteristic attribute set to the preset evaluation set to obtain a fuzzy evaluation matrix;
analyzing the target attribute of each key operation step of the worker;
substituting the target attributes into the fuzzy evaluation matrix to obtain a characteristic value corresponding to each target attribute;
calculating the confidence coefficient of the worker according to the behavior abnormity coefficient of the worker and the characteristic value corresponding to each target attribute:
wherein g is the confidence coefficient of the staff, DExpressed as the number of target attributes, FjExpressed as the jth target attribute feature value, RjExpressed as a correction factor, Q, corresponding to the characteristic value of the jth target attributejFeature vector, L, expressed as the jth target attribute feature valuejThe weight value of the characteristic vector which is expressed as the characteristic value of the jth target attribute is represented, and delta is expressed as an average error factor when the target attribute is judged;
and confirming whether the confidence coefficient of the worker is larger than or equal to a preset threshold value, if so, confirming that the worker acts normally without subsequent operation, otherwise, confirming that the worker acts abnormally, and sending an alarm prompt.
10. An indoor monitoring system, comprising:
the system comprises a setting module, a setting module and a control module, wherein the setting module is used for setting a plurality of hemispherical video cameras in a target room and connecting the hemispherical video cameras with a preset server;
the detection module is used for arranging infrared sensors on the working equipment in the target room and detecting human body infrared signals within a preset range of each working equipment by using the infrared sensors;
the connecting module is used for realizing communication connection between each hemispherical video camera and the infrared sensor in the shooting range of the hemispherical video camera;
the shooting module is used for carrying out video shooting on target working equipment provided with the infrared sensor when one infrared sensor detects a human body infrared signal so as to obtain a target shooting video;
and the editing module is used for editing a target image of a key operation step of a worker on the target working equipment in the target shooting video.
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