CN111563726A - Enterprise rectification supervision method, device, equipment and computer readable storage medium - Google Patents
Enterprise rectification supervision method, device, equipment and computer readable storage medium Download PDFInfo
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Abstract
The invention provides a method, a device, equipment and a computer readable storage medium for enterprise rectification supervision, wherein the method comprises the following steps: acquiring an initial video before the enterprise is modified and a modified video after the enterprise is modified, and extracting a first picture and a second picture with the same time point from the initial video and the modified video respectively; judging whether the rectification environment corresponding to the rectification video is effective or not according to the first picture and the second picture; if the rectification environment is effective, a rectification task list corresponding to the initial video is obtained; and analyzing the rectification video according to the rectification task list to generate an analysis result, and supervising the rectification of the enterprise to be rectified according to the analysis result. Based on the data processing technology, after the truing and reforming environment is judged to be real and effective, the truing and reforming video is analyzed according to the truing and reforming task list corresponding to the initial video, so that the truing and reforming of an enterprise to be trued are supervised, and the supervision efficiency is improved while the truing and reforming environment is ensured to be real.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to an enterprise rectification and supervision method, device and equipment and a computer readable storage medium.
Background
With the improvement of living standard, catering enterprises are developed vigorously, but at present, the kitchen of some catering enterprises has sanitary problems, which affect the health of consumers, so that the supervision and inspection of the kitchen of the catering enterprises are very important.
At present, a supervision department usually supervises and checks a kitchen of a catering enterprise in a video patrol mode, and once finding out the illegal items needing rectification, the supervision department can issue a limited rectification requirement for the catering enterprise. The catering unit needs to finish the kitchen modification before a specified time limit and reports the modification to the supervision department. Under the traditional supervision mode, a supervisor rechecks the rectification effect after receiving the feedback of the completion of the rectification of the dining enterprise. Once the second re-check is determined that the second re-check is not needed, the supervisor needs to perform the second re-check after the second re-check is completed. The whole supervision and inspection process needs to consume a large amount of time of supervision personnel, the labor cost is high, and the supervision and inspection efficiency is low.
Disclosure of Invention
The invention mainly aims to provide an enterprise rectification supervision method, device, equipment and a computer readable storage medium, and aims to solve the technical problems of high labor cost and low efficiency of supervision and inspection of kitchen of catering enterprises in the prior art.
In order to achieve the above object, an embodiment of the present invention provides an enterprise rectification and supervision method, where the enterprise rectification and supervision method includes the following steps:
acquiring an initial video before rectification and a rectified video after rectification of an enterprise to be rectified, and extracting a first picture and a second picture with the same time point from the initial video and the rectified video respectively;
judging whether the rectification environment corresponding to the rectification video is effective or not according to the first picture and the second picture;
if the rectification environment is effective, a rectification task list corresponding to the initial video is obtained;
and analyzing the rectification video according to the rectification task list to generate an analysis result, and supervising the rectification of the enterprise to be rectified according to the analysis result.
Preferably, the step of judging whether the rectification environment corresponding to the rectification video is valid according to the first picture and the second picture includes:
extracting first environment characteristic points in the first picture, and forming each first environment characteristic point into a first characteristic matrix;
extracting second environment characteristic points in the second picture, and forming each second environment characteristic point into a second characteristic matrix;
and determining a similarity parameter between the first characteristic matrix and the second characteristic matrix, and judging whether the rectification environment corresponding to the rectified video is effective or not according to the similarity parameter.
Preferably, the step of extracting first environmental feature points in the first picture and forming each first environmental feature point into a first feature matrix includes:
identifying static objects in the first picture, and detecting attribute information of each static object, wherein the attribute information at least comprises a name, a color, a size and coordinates;
forming attribute information of each static object into attribute sequences, and taking the attribute sequences as first environment characteristic points in the first picture;
and arranging the first environment characteristic points to form a first characteristic matrix.
Preferably, the step of obtaining the rectification task list corresponding to the initial video includes:
analyzing the initial video, and extracting frames of the analyzed initial video according to a preset time interval to obtain a plurality of video frames;
and identifying whether the content to be rectified exists in the plurality of video frames, and if so, generating the content to be rectified into a rectification task list corresponding to the initial video.
Preferably, the step of analyzing the rectification video according to the rectification task sheet to generate an analysis result includes:
according to the preset time interval, performing analysis and frame extraction on the rectified video to obtain a plurality of rectified pictures;
judging whether the plurality of modified pictures contain all contents to be modified in the modification task list, and if so, generating the plurality of modified pictures into the analysis result;
and if not, adjusting the preset time interval, and performing the step of analyzing and frame-extracting the modified video according to the adjusted preset time interval.
Preferably, the step of supervising the modification of the enterprise to be modified according to the analysis result includes:
acquiring a rectification requirement in the rectification task list, and judging whether the analysis result is matched with the rectification requirement;
if the enterprise to be rectified is matched with the rectification requirement, rectification and supervision of the enterprise to be rectified are completed;
and if the correction request is not matched with the correction request, outputting prompt information for continuing correction.
Preferably, the step of extracting the first picture and the second picture with the same time point from the initial video and the modified video respectively comprises:
extracting first generation time of the initial video and second generation time of the modified video, and judging whether the modified video is generated within a preset modification period according to the first generation time and the second generation time;
if the video is generated within the preset rectification time limit, respectively extracting a first picture and a second picture with the same time point from the initial video and the rectification video;
and if the current time is not within the preset rectification time limit, outputting prompt information of invalid rectification.
In order to achieve the above object, the present invention further provides an enterprise rectification and supervision apparatus, including:
the extraction module is used for acquiring an initial video before rectification and a rectified video after rectification of an enterprise to be rectified, and extracting a first picture and a second picture with the same time point from the initial video and the rectified video respectively;
the judging module is used for judging whether the rectification environment corresponding to the rectification video is effective or not according to the first picture and the second picture;
an obtaining module, configured to obtain, if the rectification environment is valid, a rectification task sheet corresponding to the initial video;
and the supervision module is used for analyzing the rectification video according to the rectification task list, generating an analysis result and supervising the rectification of the enterprise to be rectified according to the analysis result.
Further, to achieve the above object, the present invention further provides an enterprise rectification supervision apparatus, which includes a memory, a processor, and an enterprise rectification supervisor stored in the memory and operable on the processor, wherein the enterprise rectification supervisor implements the steps of the enterprise rectification supervision method when executed by the processor.
In addition, to achieve the above object, the present invention further provides a computer readable storage medium, where an enterprise rectification supervisory program is stored, and when the enterprise rectification supervisory program is executed by a processor, the steps of the enterprise rectification supervisory method are implemented.
The invention provides an enterprise rectification supervision method, device and equipment and a computer readable storage medium, wherein after an initial video before rectification and a rectified video after rectification of an enterprise to be rectified are obtained, a first picture and a second picture with the same time point are respectively extracted from the initial video and the rectified video; judging whether the rectification environment corresponding to the rectification video is effective or not according to the first picture and the second picture; if the rectification environment is effective, a rectification task list corresponding to the initial video is obtained; and analyzing the rectification video according to the rectification task list to generate an analysis result, and supervising the rectification of the enterprise to be rectified according to the analysis result. Because the first picture and the second picture are from the same time point in the initial video and the modified video, if the modified video is a real video, the supervision environments represented by the first picture and the second picture are the same, so that the effectiveness of the modified environment judged according to the first picture and the second picture is more real and accurate. On the basis, the rectification video is analyzed according to the rectification task list corresponding to the initial video, rectification of the enterprise to be rectified is supervised, frequent rechecking of supervision personnel is avoided, labor cost is saved, and supervision efficiency is improved while authenticity of the rectification environment is ensured.
Drawings
Fig. 1 is a schematic structural diagram of an enterprise rectification supervision device of a hardware operating environment according to an embodiment of the present invention;
FIG. 2 is a flowchart illustrating a first embodiment of a method for enterprise rectification and supervision according to the present invention;
FIG. 3 is a functional block diagram of an enterprise rectification monitoring apparatus according to a preferred embodiment of the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
As shown in fig. 1, fig. 1 is a schematic structural diagram of an enterprise rectification supervision device of a hardware operating environment according to an embodiment of the present invention.
In the following description, suffixes such as "module", "component", or "unit" used to denote elements are used only for facilitating the explanation of the present invention, and have no specific meaning in itself. Thus, "module", "component" or "unit" may be used mixedly.
The enterprise rectification and supervision equipment in the embodiment of the invention can be a PC, and can also be mobile terminal equipment such as a tablet personal computer and a portable computer.
As shown in fig. 1, the enterprise reform supervisory device may include: a processor 1001, such as a CPU, a network interface 1004, a user interface 1003, a memory 1005, a communication bus 1002. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface). The memory 1005 may be a high-speed RAM memory or a non-volatile memory (e.g., a magnetic disk memory). The memory 1005 may alternatively be a storage device separate from the processor 1001.
Those skilled in the art will appreciate that the enterprise reform supervisory device architecture shown in fig. 1 does not constitute a limitation of the enterprise reform supervisory device and may include more or fewer components than shown, or some components in combination, or a different arrangement of components.
As shown in fig. 1, a memory 1005, which is a kind of computer-readable storage medium, may include therein an operating system, a network communication module, a user interface module, and a detection program.
In the device shown in fig. 1, the network interface 1004 is mainly used for connecting to a backend server and performing data communication with the backend server; the user interface 1003 is mainly used for connecting a client (user side) and performing data communication with the client; and the processor 1001 may be configured to call the detection program stored in the memory 1005 and perform the following operations:
acquiring an initial video before rectification and a rectified video after rectification of an enterprise to be rectified, and extracting a first picture and a second picture with the same time point from the initial video and the rectified video respectively;
judging whether the rectification environment corresponding to the rectification video is effective or not according to the first picture and the second picture;
if the rectification environment is effective, a rectification task list corresponding to the initial video is obtained;
and analyzing the rectification video according to the rectification task list to generate an analysis result, and supervising the rectification of the enterprise to be rectified according to the analysis result.
Further, the step of determining whether the rectification environment corresponding to the rectification video is valid according to the first picture and the second picture includes:
extracting first environment characteristic points in the first picture, and forming each first environment characteristic point into a first characteristic matrix;
extracting second environment characteristic points in the second picture, and forming each second environment characteristic point into a second characteristic matrix;
and determining a similarity parameter between the first characteristic matrix and the second characteristic matrix, and judging whether the rectification environment corresponding to the rectified video is effective or not according to the similarity parameter.
Further, the step of extracting first environmental feature points in the first picture and forming each first environmental feature point into a first feature matrix includes:
identifying static objects in the first picture, and detecting attribute information of each static object, wherein the attribute information at least comprises a name, a color, a size and coordinates;
forming attribute information of each static object into attribute sequences, and taking the attribute sequences as first environment characteristic points in the first picture;
and arranging the first environment characteristic points to form a first characteristic matrix.
Further, the step of obtaining the rectification task list corresponding to the initial video comprises:
analyzing the initial video, and extracting frames of the analyzed initial video according to a preset time interval to obtain a plurality of video frames;
and identifying whether the content to be rectified exists in the plurality of video frames, and if so, generating the content to be rectified into a rectification task list corresponding to the initial video.
Further, the step of analyzing the rectification video according to the rectification task list to generate an analysis result includes:
according to the preset time interval, performing analysis and frame extraction on the rectified video to obtain a plurality of rectified pictures;
judging whether the plurality of modified pictures contain all contents to be modified in the modification task list, and if so, generating the plurality of modified pictures into the analysis result;
and if not, adjusting the preset time interval, and performing the step of analyzing and frame-extracting the modified video according to the adjusted preset time interval.
Further, the step of supervising the modification of the enterprise to be modified according to the analysis result includes:
acquiring a rectification requirement in the rectification task list, and judging whether the analysis result is matched with the rectification requirement;
if the enterprise to be rectified is matched with the rectification requirement, rectification and supervision of the enterprise to be rectified are completed;
and if the correction request is not matched with the correction request, outputting prompt information for continuing correction.
Further, before the step of extracting the first picture and the second picture with the same time point from the initial video and the modified video, respectively, the processor 1001 may be configured to call a detection program stored in the memory 1005, and perform the following operations:
extracting first generation time of the initial video and second generation time of the modified video, and judging whether the modified video is generated within a preset modification period according to the first generation time and the second generation time;
if the video is generated within the preset rectification time limit, respectively extracting a first picture and a second picture with the same time point from the initial video and the rectification video;
and if the current time is not within the preset rectification time limit, outputting prompt information of invalid rectification.
The specific implementation of the enterprise rectification supervision device of the present invention is basically the same as the following embodiments of the enterprise rectification supervision method, and is not described herein again.
For a better understanding of the above technical solutions, exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
In order to better understand the technical solution, the technical solution will be described in detail with reference to the drawings and the specific embodiments.
Referring to fig. 2, a first embodiment of the present invention provides a flow chart of an enterprise rectification monitoring method. In this embodiment, the enterprise rectification and supervision method includes the following steps:
step S10, acquiring an initial video before rectification and a rectified video after rectification of an enterprise to be rectified, and extracting a first picture and a second picture with the same time point from the initial video and the rectified video respectively;
the enterprise rectification and supervision method in the embodiment is applied to the server and is suitable for supervising enterprise rectification and rectification through the server. The enterprise can be various units which need to carry out environment modification and behavior modification, and the embodiment preferably adopts the kitchen of a catering enterprise for explanation. Namely, the method monitors dirty, messy and poor environments in the kitchen of a catering enterprise and regulates the modification of actions of catering service personnel without wearing working caps, working gloves and the like.
Further, the server is in communication connection with a camera capable of shooting videos, so that the camera transmits the shot videos to the server for processing. Wherein, the camera can be installed at fixed position, and can rotate at fixed position, and the pivoted angle has contained catering enterprise's kitchen scope to shoot the kitchen, and ensure that the environment that every rotation cycle was shot is unanimous. In addition, the camera may also be in the form of a video tour, and the tour is performed at a fixed speed and a fixed route to ensure consistency of the environment being photographed.
Furthermore, the camera transmits the shot video information to the server according to a preset check period, the server judges whether the content needing to be modified exists in the video information which is uploaded by a certain catering enterprise for the first time, if the content needing to be modified exists, the enterprise is used as the enterprise to be modified, and the video information is used as the initial video before the enterprise to be modified is modified. Different modification time limits are set in the server in advance according to the difficulty degree of the content required to be modified, the corresponding modification time limit can be determined according to the content required to be modified in the initial video, and the content required to be modified and the modification time limit are sent to an enterprise to be modified in a notification mode. And after receiving the video information uploaded again by the enterprise to be rectified, the server acquires the video information as a rectified video after rectification, and acquires the initial video stored before from the storage unit so as to monitor whether the rectification of the enterprise to be rectified is in place or not through the initial video and the rectified video.
Further, in order to ensure that the initial video and the rectification video are shot for the same scene, that is, to ensure that the rectification environment corresponding to the rectification video is the environment which actually needs rectification in the enterprise to be rectified, after the initial video and the rectification video are obtained, a first picture and a second picture with the same time point are respectively extracted from the initial video and the rectification video. The initial picture and the rectification picture are obtained by shooting through the camera, and the camera rotates at a fixed position to shoot or performs patrol shooting at a fixed speed and a fixed route, so that the scenes shot by the initial video and the rectification video at the same time point are the same. And if the rectification environment corresponding to the rectification video is the environment which really needs rectification in the enterprise to be rectified, the first picture and the second picture which are extracted from the same time point should have the same scene. Therefore, whether the initial video and the rectification video aim at the same scene or not can be detected according to the scenes displayed by the first picture and the second picture, wherein a plurality of same time points can be set for more accurately judging the initial video and the rectification video, and a plurality of first pictures and a plurality of second pictures can be taken up; such as the first picture and the second picture at a video time of 1 minute, the first picture and the second picture at a video time of 2 minutes, the first picture and the second picture at a video time of 3 minutes, and so on.
Understandably, the modification of the enterprise to be modified needs to be completed within the modification time limit, and in order to ensure that the modification of the enterprise to be modified is completed within the modification time limit, after the modification video is acquired, the modification time limit needs to be determined through the modification video. Specifically, the step of extracting the first picture and the second picture with the same time point from the initial video and the modified video respectively comprises:
a1, extracting a first generation time of the initial video and a second generation time of the modified video, and judging whether the modified video is generated within a preset modification period according to the first generation time and the second generation time;
understandably, the original video carries a time characterizing its recording date, which is extracted as the first generation time of the original video. Likewise, the modified video also carries a time characterizing its recording date, which is extracted as a second generation time of the modified video. And judging whether the rectification video is generated within a preset rectification time limit or not according to the time difference value represented by the first generation time and the second time, namely judging whether the rectification of the enterprise to be rectified is completed within a required rectification time limit or not. The preset modification period is determined according to the content to be modified in the initial video. If the preset rectification period is one month, the first generation time is 1 month No. 1 of a certain year, and the second generation time is 1 month No. 25 of the same year, the time difference value between the two is within the preset rectification period, so that the rectification video can be judged to be generated within the preset rectification period, namely, the rectification of the enterprise to be rectified is completed within the required rectification period.
A2, if the picture is generated within a preset rectification time limit, a step of extracting a first picture and a second picture with the same time point from the initial video and the rectification video respectively is executed;
further, if it is determined that the modified video is generated within the preset modification period, it is indicated that the generated modified video is valid, the first picture and the second picture with the same time point can be respectively extracted from the initial video and the modified video, so as to determine whether the initial video and the modified video are shot for the same scene through the first picture and the second picture, and whether the modified environment corresponding to the modified video is the real environment needing modification in the enterprise to be modified, that is, whether the modified environment corresponding to the modified video is valid.
And a3, if the modification time limit is not within the preset modification time limit, outputting a prompt message that the modification is invalid.
Furthermore, if it is determined that the rectification video is not generated within the preset rectification deadline, it indicates that the rectification of the enterprise to be rectified is not completed within the required rectification deadline, and the rectification of the enterprise to be rectified is invalid, so as to output a prompt message that the rectification is invalid.
Step S20, according to the first picture and the second picture, judging whether the rectification environment corresponding to the rectification video is effective;
furthermore, after the first picture is extracted from the initial video and the second picture at the same time point is extracted from the rectification video, whether the rectification environment corresponding to the rectification video is effective, that is, whether the environment shot by the rectification video is the real environment of the enterprise to be rectified after rectification can be judged according to the consistency between the scene environment represented in the first picture and the scene environment represented in the second picture. It should be noted that, in the video shooting process, a dynamic character may be shot, and the dynamic character has a dynamic characteristic, so that scenes in a first picture and a second picture at the same time point are not identical, and if a certain staff is included in the first picture, no staff exists in the second picture, and so on. Therefore, in order to avoid the influence of the dynamic character on the consistency of the scene environments represented by the first picture and the second picture, the embodiment may set an identification mechanism of the dynamic character. The method comprises the steps of training an initial model through a large number of dynamic character samples in advance to obtain a dynamic character recognition model, transmitting a first picture and a second picture which are extracted into the dynamic character recognition model, recognizing whether the first picture and the second picture contain dynamic characters or not through the dynamic character recognition model, removing the dynamic characters if the first picture and the second picture contain the dynamic characters, and judging whether scene environments represented by the first picture and the second picture are consistent or not after the dynamic characters are removed so as to avoid the judgment of the consistency of the dynamic characters on the scene environments. If the current environment is consistent with the preset environment, the rectification environment corresponding to the rectification video is effective, and the environment shot by the rectification video is the real environment of the enterprise to be rectified after rectification. If the video is inconsistent with the real environment, the rectification environment corresponding to the rectification video is invalid, and the environment shot by the rectification video is not the real environment of the enterprise to be rectified, so that a false rectification situation may exist.
In addition, consistency determination may be performed by similarity between the first picture and the second picture extracted from each same time point, similarity between the first picture and the second picture extracted from each same time point is detected, and then an average operation is performed between the similarities to obtain overall similarity between the plurality of first pictures and the plurality of second pictures. If the overall similarity is greater than the preset threshold, the similarity between the multiple first pictures and the multiple second pictures is high, the scene environments represented by the initial video and the rectification video can be judged to be consistent, the rectification environment corresponding to the rectification video is effective, and the environment shot by the rectification video is the real environment of an enterprise to be rectified after rectification. Otherwise, the scene environments represented by the initial video and the rectification video are inconsistent, and the environment shot by the rectification video is not the real environment of the enterprise to be rectified after rectification, so that a false rectification situation may exist.
Step S30, if the rectification environment is valid, a rectification task list corresponding to the initial video is obtained;
further, if the rectification environment is judged to be effective through the first picture and the second picture, and the rectification video is shot for the rectified enterprise, a rectification task list corresponding to the initial video is obtained to represent the content required to be rectified by the rectified enterprise. The rectification task list can be generated in advance and stored in a storage unit of the server, and carries an identifier representing the initial video, and the server reads the rectification task list from the storage unit through the identifier to obtain the rectification task list corresponding to the initial video. In addition, the rectification task list can also be generated by detecting whether the initial video contains the rectification item in real time through the preset rectification item, namely, identifying the rectification item contained in the initial video in real time and generating the rectification task list.
And step S40, analyzing the rectification video according to the rectification task list to generate an analysis result, and supervising the rectification of the enterprise to be rectified according to the analysis result.
Furthermore, the content to be modified contained in the modification task is used as the content to be modified, the modified video is analyzed according to the content to be modified, a plurality of modified pictures containing all the content to be modified are obtained, and the plurality of modified pictures are used as the analysis result. And then, monitoring the rectification of the enterprise to be rectified by judging whether all the contents to be rectified in the plurality of rectified pictures as the analysis results are rectified in place. Specifically, the step of supervising the rectification of the enterprise to be rectified according to the analysis result comprises the following steps:
step S41, obtaining the rectification requirement in the rectification task list, and judging whether the analysis result is matched with the rectification requirement;
furthermore, the corresponding rectification requirements are set for all preset rectification items, and the rectification requirements corresponding to the contents to be rectified, which need to be rectified in the rectification task list, are set in the rectification task list no matter whether the rectification task list is generated in advance or generated in real time. The server acquires the rectification requirements corresponding to the contents to be rectified from the rectification task list, searches for rectified pictures corresponding to the contents to be rectified in a plurality of rectified pictures of the analysis result, further identifies the rectified pictures corresponding to the contents to be rectified according to the rectification requirements corresponding to the contents to be rectified, and judges whether the rectified pictures corresponding to the contents to be rectified meet the respective rectification requirements or not, so that the judgment of whether the analysis result is matched with the rectification requirements or not is realized.
Step S42, if matching with the rectification requirement, finishing rectification supervision of the enterprise to be rectified;
furthermore, if the modified pictures corresponding to the contents to be modified are judged to meet the respective modification requirements, the analysis result is matched with the modification requirements, and the contents to be modified in the enterprise to be modified are modified in place, so that the modification supervision of the enterprise to be modified is completed. It should be noted that, in the next supervision period, the initial video of the enterprise is obtained again to determine whether the enterprise needs to be modified, and if the enterprise needs to be modified, the modification and supervision is performed again according to the above method until the modification is in place.
And step S43, if the correction requirement is not matched, outputting a prompt message for continuing correction.
Further, if it is determined that any one of the modified pictures corresponding to each content to be modified does not meet the corresponding modification requirement, it indicates that at least one content to be modified does not already have been modified in place in the enterprise to be modified, and at this time, a prompt message for continuing modification is output. The prompt message contains the content to be modified and the modification period. And then, when the rectification video is received again, judging whether the rectification video received again is effective or not, if so, acquiring the content which is not rectified in place to generate a new rectification task list, analyzing the rectification video received again according to the new rectification task list, and supervising the rectification of the enterprise to be rectified according to the analysis result until all the content to be rectified in the enterprise to be rectified is rectified in place.
According to the enterprise rectification and supervision method, after an initial video before enterprise rectification and a rectified video after enterprise rectification are obtained, a first picture and a second picture which have the same time point are respectively extracted from the initial video and the rectified video; judging whether the rectification environment corresponding to the rectification video is effective or not according to the first picture and the second picture; if the rectification environment is effective, a rectification task list corresponding to the initial video is obtained; and analyzing the rectification video according to the rectification task list to generate an analysis result, and supervising the rectification of the enterprise to be rectified according to the analysis result. Because the first picture and the second picture are from the same time point in the initial video and the modified video, if the modified video is a real video, the supervision environments represented by the first picture and the second picture are the same, so that the effectiveness of the modified environment judged according to the first picture and the second picture is more real and accurate. On the basis, the rectification video is analyzed according to the rectification task list corresponding to the initial video, rectification of the enterprise to be rectified is supervised, frequent rechecking of supervision personnel is avoided, labor cost is saved, and supervision efficiency is improved while authenticity of the rectification environment is ensured.
Further, based on the first embodiment of the enterprise rectification and supervision method of the present invention, a second embodiment of the enterprise rectification and supervision method of the present invention is provided, in which in the second embodiment, the step of determining whether the rectification environment corresponding to the rectification video is valid according to the first picture and the second picture includes:
step S21, extracting first environment characteristic points in the first picture, and forming each first environment characteristic point into a first characteristic matrix;
in this embodiment, whether the rectification environment to which the rectification video is directed is valid is determined according to the first picture and the second picture, and the similarity of the scenes represented between the first picture and the second picture is higher, which means that the probability that the initial video and the rectification video are directed to the same scene is higher, that is, the rectification video is valid, otherwise, the rectification video is invalid. Specifically, a first environmental feature point is extracted from the first picture, where the first environmental feature point is feature information of a static object included in the first picture. After that, the feature information of each static object is formed into a first feature matrix to characterize all the static object features contained in the first picture by the first feature matrix. The method for extracting the first environment feature points in the first picture and forming each first environment feature point into the first feature matrix comprises the following steps:
step S211, identifying static objects in the first picture, and detecting attribute information of each static object, wherein the attribute information at least comprises a name, a color, a size and a coordinate;
further, the initial model is trained in advance by taking pictures of solid objects such as tables, chairs, pots, furnaces and the like commonly used in catering enterprises as training samples, so as to obtain a recognition model for recognizing the solid objects in the environment. The server calls the identification model to identify the static objects in the first picture, and then detects the number of the static objects and the attribute information of each static object, wherein the attribute information at least comprises the name, color, size, coordinate and the like of the static objects. Specifically, the name of each static object can be identified by the name label of each training sample in the initial model training process; meanwhile, the color of the static object is recognized through an OpenCV image processing technology, a preset coordinate system is set, and the size and the position coordinates are determined through detecting the position of the static object in the preset coordinate system.
Step S212, forming attribute information of each static object into an attribute sequence, and taking each attribute sequence as a first environment characteristic point in the first picture;
further, the attribute information of each static object is formed into an attribute sequence of each static object, and each attribute sequence is taken as a first environment feature point in the first picture. If the static object a in the first picture is identified, its name, color, size and coordinates are: table, black, 1m × 1m, (20, 30), and the attribute sequence formed for this is [ table, black, 1m × 1m, (20, 30) ]. And the attribute sequence is taken as a first environment characteristic point in the first picture to represent various characteristics of a static object 'table' in the first picture.
In step S213, the first environment feature points are arranged to form a first feature matrix.
Further, after the attribute information of each static object is formed into an attribute sequence, that is, each item of first environment feature point representing the feature of each static object in the first picture is obtained, each item of first environment feature point is formed into a first feature matrix, each row in the first feature matrix represents each type of feature of one static object, and each column represents the representation of each static object on a certain feature, for example, each column represents the representation of each static object on a certain feature
Step S22, extracting second environment feature points in the second picture, and forming each second environment feature point into a second feature matrix;
similarly, a second environmental feature point is extracted from the second picture, and the second environmental feature point is feature information of a static object included in the second picture. After that, the feature information of each static object is formed into a second feature matrix to characterize all the static object features contained in the second picture by the second feature matrix. And the manner of extracting the second environment characteristic points to form the second characteristic matrix is the same as the manner of extracting the first environment characteristic points to form the first characteristic matrix. Namely, identifying static objects in the second picture, and detecting attribute information of each static object, wherein the attribute information at least comprises a name, a color, a size and coordinates; forming attribute information of each static object into an attribute sequence, and taking each attribute sequence as a second environment characteristic point in a second picture; and arranging the second environment characteristic points to form a second characteristic matrix. The specific implementation is the same as the above-mentioned first feature matrix formation, and details are not described here.
Step S23, determining a similarity parameter between the first feature matrix and the second feature matrix, and determining whether the rectification environment corresponding to the rectified video is valid according to the similarity parameter.
Furthermore, matrix operation is carried out between the first feature matrix and the second feature matrix to obtain a similarity parameter representing the degree of similarity between the first feature matrix and the second feature matrix. In addition, a similarity threshold value representing the degree of similarity is preset in the server, the obtained similarity parameter is compared with the similarity threshold value, and whether the similarity parameter is greater than the similarity threshold value is judged. If the similarity parameter is larger than the similarity threshold, the more similar the characteristic of the static object in the first picture and the characteristic of the static object in the second picture are, the more environment the rectification aims at is the environment of the enterprise to be rectified, and therefore the rectification environment corresponding to the whole video is judged to be effective. On the contrary, if the similarity parameter is not greater than the similarity threshold, the similarity degree between the characteristic of the static object in the first picture and the characteristic of the static object in the second picture is low, the environment targeted by the rectification is not the environment of the enterprise to be rectified, and a false rectification situation may exist, so that the rectification environment corresponding to the whole video is judged to be invalid.
In this embodiment, feature points of respective static objects are extracted from the first picture and the second picture, a first feature matrix and a second feature matrix are formed to characterize features of all the static objects included in the first picture and the second picture, and then a similarity parameter between the first feature matrix and the second feature matrix is used to determine whether an adaptation environment for an adaptation video is valid. Because the first characteristic matrix contains the characteristics of all static objects in the first picture and the second characteristic matrix contains the characteristics of all static objects in the second picture, the effectiveness of the environment modification judged by the similarity parameters of the first characteristic matrix and the second characteristic matrix is more real and accurate.
Further, based on the first embodiment or the second embodiment of the enterprise rectification supervision method of the present invention, a third embodiment of the enterprise rectification supervision method of the present invention is proposed, and in the third embodiment, the step of acquiring the rectification task list corresponding to the initial video includes:
step S31, analyzing the initial video, and extracting frames of the analyzed initial video according to a preset time interval to obtain a plurality of video frames;
in this embodiment, the rectification task sheet corresponding to the initial video is preferably generated by detecting the rectification item included in the initial video in real time according to a preset rectification item. Specifically, the initial video is analyzed through ffmpeng, and frames of the analyzed initial video are extracted according to a preset time interval, so that a plurality of video frames are obtained. And if the preset time interval 5 is seconds, performing frame extraction from the 0 th second of the initial video to the 5 th second of the initial video until the end time of the initial video. The smaller the preset time interval is, the larger the number of the frames is, and the more accurate the rectification task list is formed.
Step S32, identifying whether there is content to be rectified in the plurality of video frames, and if there is content to be rectified, generating the content to be rectified into a rectification task list corresponding to the initial video.
Furthermore, according to preset rectification items, a plurality of video stations are identified, and whether the content needing rectification exists in each video frame or not, namely whether the content to be rectified exists or not is identified. The contents to be modified include, but are not limited to, working personnel not wearing working caps, kitchen with cockroaches and mice, kitchen mess, and the like. And if the content to be rectified exists, adding each item of content to be rectified into the template of the rectification task list to form the rectification task list corresponding to the initial video, and representing the content to be rectified of the enterprise to be rectified through each item of content to be rectified in the rectification task list.
Further, the step of analyzing the rectification video according to the rectification task sheet to generate an analysis result includes:
step S44, according to the preset time interval, performing analysis and frame extraction on the rectified video to obtain a plurality of rectified pictures;
further, for the rectified video after the enterprise to be rectified is rectified, the frames are analyzed and extracted through ffmpeng according to the preset time interval, and a plurality of rectified pictures are obtained. The method reflects the rectification condition of the enterprise to be rectified, whether each content needing rectification is rectified in place or not and the like through a plurality of rectified pictures.
Step S45, determining whether the plurality of modified pictures include all the contents to be modified in the modification job ticket, and if so, generating the plurality of modified pictures as the analysis result;
understandably, in order to make the rectified picture completely reflect the rectification situation of the enterprise to be rectified, it is necessary to ensure that a plurality of rectified pictures include all the contents to be rectified in the rectification task list. If the content to be rectified in the rectifying task list comprises that workers do not wear working caps and a kitchen is provided with cockroaches, at least one worker is contained in the plurality of rectified pictures of the extracted frame, and at least the kitchen environment is contained. Therefore, after the plurality of rectified pictures are obtained, the plurality of rectified pictures are judged according to the rectification task list, and whether the plurality of rectified pictures contain all contents to be rectified in the rectification task list is judged. If all the contents to be rectified are contained, the rectifying video is subjected to frame extraction, and the obtained multiple rectified pictures meet the requirements and are generated into an analysis result.
And step S46, if not containing all the content to be rectified, adjusting the preset time interval, and executing the step of analyzing and frame-extracting the rectified video according to the adjusted preset time interval.
Further, if it is determined that the plurality of rectified pictures do not include all the to-be-rectified contents in the rectification task list, that is, the plurality of rectified pictures lack any to-be-rectified contents in the to-be-rectified task list, the preset time interval is adjusted, and the preset time interval is adjusted to be a smaller time span. And then, based on the adjusted preset time span, re-framing the rectified video to extract more rectified pictures until all contents to be rectified in the rectification task list are contained, and generating an analysis result. It should be noted that, if the plurality of modified pictures include a plurality of repeated contents to be modified, it indicates that the extracted modified pictures are too many, and the preset time interval may be adjusted to a larger time span for frame extraction, so as to avoid generating the modified pictures with too many repetitions as an analysis result, which increases the data amount processed by the server for the analysis result, and reduces the processing efficiency.
According to the method, an adjustment task list is formed by analyzing and extracting frames of an initial video according to a preset time interval, an adjusted video is analyzed and extracted to form an adjusted picture according to the adjustment task list, and an analysis result is formed by the adjusted picture to reflect the adjustment condition of an enterprise to be adjusted. The extracted rectified picture comprises all contents to be rectified in the rectification task list by setting the preset time interval as the adjustable characteristic, so that the rectification of the enterprise to be rectified is more accurately monitored according to the analysis result formed by the rectified picture.
Furthermore, the invention also provides an enterprise rectification and supervision device.
Referring to fig. 3, fig. 3 is a functional module diagram of a first embodiment of the enterprise rectification supervising device according to the present invention. The enterprise rectification supervision device comprises:
the extraction module 10 is configured to obtain an initial video before rectification and an rectified video after rectification of an enterprise to be rectified, and extract a first picture and a second picture with the same time point from the initial video and the rectified video respectively;
a judging module 20, configured to judge whether an rectification environment corresponding to the rectification video is valid according to the first picture and the second picture;
an obtaining module 30, configured to obtain, if the rectification environment is valid, a rectification task sheet corresponding to the initial video;
and the supervision module 40 is used for analyzing the rectification video according to the rectification task list, generating an analysis result, and supervising the rectification of the enterprise to be rectified according to the analysis result.
In the enterprise rectification supervision device of this embodiment, after acquiring an initial video before rectification and an rectified video after rectification of an enterprise to be rectified, an extraction module 10 extracts a first picture and a second picture with the same time point from the initial video and the rectified video respectively; the judging module 20 judges whether the rectification environment corresponding to the rectification video is effective or not according to the first picture and the second picture; if the rectification environment is valid, the obtaining module 30 obtains a rectification task list corresponding to the initial video; and then the supervision module 40 analyzes the rectification video according to the rectification task list to generate an analysis result, so as to supervise the rectification of the enterprise to be rectified according to the analysis result. Because the first picture and the second picture are from the same time point in the initial video and the modified video, if the modified video is a real video, the supervision environments represented by the first picture and the second picture are the same, so that the effectiveness of the modified environment judged according to the first picture and the second picture is more real and accurate. On the basis, the rectification video is analyzed according to the rectification task list corresponding to the initial video, rectification of the enterprise to be rectified is supervised, frequent rechecking of supervision personnel is avoided, labor cost is saved, and supervision efficiency is improved while authenticity of the rectification environment is ensured.
Further, the determining module 20 includes:
the first extraction unit is used for extracting first environment characteristic points in the first picture and forming each first environment characteristic point into a first characteristic matrix;
the second extraction unit is used for extracting second environment characteristic points in the second picture and forming each second environment characteristic point into a second characteristic matrix;
and the judging unit is used for determining a similarity parameter between the first characteristic matrix and the second characteristic matrix and judging whether the rectification environment corresponding to the rectified video is effective or not according to the similarity parameter.
Further, the first extraction unit is further configured to include:
the step of extracting first environment feature points in the first picture and forming each first environment feature point into a first feature matrix comprises:
identifying static objects in the first picture, and detecting attribute information of each static object, wherein the attribute information at least comprises a name, a color, a size and coordinates;
forming attribute information of each static object into attribute sequences, and taking the attribute sequences as first environment characteristic points in the first picture;
and arranging the first environment characteristic points to form a first characteristic matrix.
Further, the obtaining module 30 further includes:
the analysis unit is used for analyzing the initial video and extracting frames of the analyzed initial video according to a preset time interval to obtain a plurality of video frames;
and the identification unit is used for identifying whether the content to be rectified exists in the plurality of video frames or not, and if the content to be rectified exists, the content to be rectified is generated into a rectification task list corresponding to the initial video.
Further, the supervision module 40 further includes:
the frame extracting unit is used for performing analysis frame extraction on the rectified video according to the preset time interval to obtain a plurality of rectified pictures;
the generating unit is used for judging whether the plurality of modified pictures contain all contents to be modified in the modification task list or not, and if the plurality of modified pictures contain all the contents to be modified, the plurality of modified pictures are generated into the analysis result;
and the adjusting unit is used for adjusting the preset time interval if the content to be rectified is not contained in the whole content to be rectified, and performing the step of analyzing and frame-extracting the rectified video according to the adjusted preset time interval.
Further, the supervision module 40 further includes:
an obtaining unit, configured to obtain a rectification requirement in the rectification task sheet, and determine whether the analysis result matches the rectification requirement;
a finishing unit, configured to finish the rectification supervision on the enterprise to be rectified if the finishing requirement is matched with the rectification requirement;
and the first output unit is used for outputting prompt information for continuing rectification and modification if the correction and modification requirement is not matched.
Further, the extraction module 10 includes:
the third extraction unit is used for extracting the first generation time of the initial video and the second generation time of the modified video and judging whether the modified video is generated within a preset modification period or not according to the first generation time and the second generation time;
the execution unit is used for extracting a first picture and a second picture with the same time point from the initial video and the modified video respectively if the first picture and the second picture are generated within a preset modification period;
and the second output unit is used for outputting prompt information that the rectification is invalid if the current time limit is not within the preset rectification time limit.
The specific implementation of the enterprise rectification supervision device of the invention is basically the same as that of the embodiments of the enterprise rectification supervision method, and is not described herein again.
In addition, the embodiment of the invention also provides a computer readable storage medium.
The computer readable storage medium has stored thereon an enterprise reorganization supervisor that, when executed by the processor, implements the steps of the enterprise reorganization supervisory method as described above.
The specific implementation manner of the computer-readable storage medium of the present invention is substantially the same as that of the embodiments of the enterprise rectification and supervision method described above, and is not described herein again.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a computer-readable storage medium (such as ROM/RAM, magnetic disk, optical disk) as described above, and includes several instructions for enabling a terminal device (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. An enterprise rectification supervision method, which is characterized by comprising the following steps:
acquiring an initial video before rectification and a rectified video after rectification of an enterprise to be rectified, and extracting a first picture and a second picture with the same time point from the initial video and the rectified video respectively;
judging whether the rectification environment corresponding to the rectification video is effective or not according to the first picture and the second picture;
if the rectification environment is effective, a rectification task list corresponding to the initial video is obtained;
and analyzing the rectification video according to the rectification task list to generate an analysis result, and supervising the rectification of the enterprise to be rectified according to the analysis result.
2. The enterprise rectification supervision method according to claim 1, wherein the step of determining whether the rectification environment corresponding to the rectification video is valid according to the first picture and the second picture comprises:
extracting first environment characteristic points in the first picture, and forming each first environment characteristic point into a first characteristic matrix;
extracting second environment characteristic points in the second picture, and forming each second environment characteristic point into a second characteristic matrix;
and determining a similarity parameter between the first characteristic matrix and the second characteristic matrix, and judging whether the rectification environment corresponding to the rectified video is effective or not according to the similarity parameter.
3. The method of enterprise rectification supervision according to claim 2, wherein the step of extracting first environmental feature points in the first picture and forming each of the first environmental feature points into a first feature matrix comprises:
identifying static objects in the first picture, and detecting attribute information of each static object, wherein the attribute information at least comprises a name, a color, a size and coordinates;
forming attribute information of each static object into attribute sequences, and taking the attribute sequences as first environment characteristic points in the first picture;
and arranging the first environment characteristic points to form a first characteristic matrix.
4. The enterprise rectification supervisory method according to claim 1, wherein said step of obtaining a rectification job ticket corresponding to the initial video comprises:
analyzing the initial video, and extracting frames of the analyzed initial video according to a preset time interval to obtain a plurality of video frames;
and identifying whether the content to be rectified exists in the plurality of video frames, and if so, generating the content to be rectified into a rectification task list corresponding to the initial video.
5. The enterprise rectification supervision method according to claim 4, wherein the step of parsing the rectification video according to the rectification task sheet to generate a parsing result comprises:
according to the preset time interval, performing analysis and frame extraction on the rectified video to obtain a plurality of rectified pictures;
judging whether the plurality of modified pictures contain all contents to be modified in the modification task list, and if so, generating the plurality of modified pictures into the analysis result;
and if not, adjusting the preset time interval, and performing the step of analyzing and frame-extracting the modified video according to the adjusted preset time interval.
6. The enterprise rectification supervision method according to any one of claims 1-5, wherein the step of supervising the rectification of the enterprise to be rectified according to the analysis result comprises:
acquiring a rectification requirement in the rectification task list, and judging whether the analysis result is matched with the rectification requirement;
if the enterprise to be rectified is matched with the rectification requirement, rectification and supervision of the enterprise to be rectified are completed;
and if the correction request is not matched with the correction request, outputting prompt information for continuing correction.
7. The enterprise rectification supervision method according to any one of claims 1-5, wherein the step of extracting the first picture and the second picture with the same time point from the initial video and the rectification video respectively comprises:
extracting first generation time of the initial video and second generation time of the modified video, and judging whether the modified video is generated within a preset modification period according to the first generation time and the second generation time;
if the video is generated within the preset rectification time limit, respectively extracting a first picture and a second picture with the same time point from the initial video and the rectification video;
and if the current time is not within the preset rectification time limit, outputting prompt information of invalid rectification.
8. An enterprise rectification supervision apparatus, comprising:
the extraction module is used for acquiring an initial video before rectification and a rectified video after rectification of an enterprise to be rectified, and extracting a first picture and a second picture with the same time point from the initial video and the rectified video respectively;
the judging module is used for judging whether the rectification environment corresponding to the rectification video is effective or not according to the first picture and the second picture;
an obtaining module, configured to obtain, if the rectification environment is valid, a rectification task sheet corresponding to the initial video;
and the supervision module is used for analyzing the rectification video according to the rectification task list, generating an analysis result and supervising the rectification of the enterprise to be rectified according to the analysis result.
9. An enterprise reform supervising device, comprising a memory, a processor, and an enterprise reform supervisor stored on the memory and operable on the processor, the enterprise reform supervisor, when executed by the processor, implementing the steps of the enterprise reform supervising method as recited in any one of claims 1-7.
10. A computer readable storage medium having stored thereon an enterprise reorganization supervisor that, when executed by a processor, performs the steps of the enterprise reorganization supervisory method of any of claims 1-7.
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