CN113128876A

CN113128876A - Image-based object management method, device and computer-readable storage medium

Info

Publication number: CN113128876A
Application number: CN202110439688.3A
Authority: CN
Inventors: 张文彩; 李延鹏; 王信; 郭溪溪
Original assignee: Beijing Fangjianghu Technology Co Ltd
Current assignee: Beijing Fangjianghu Technology Co Ltd
Priority date: 2021-04-22
Filing date: 2021-04-22
Publication date: 2021-07-16

Abstract

The embodiment of the disclosure discloses an image-based object management method, an image-based object management device and a computer-readable storage medium. The method comprises the following steps: acquiring a construction site operation image associated with an object to be evaluated; performing image recognition processing on a construction site operation image associated with an object to be evaluated to obtain target operation characteristic information; obtaining an evaluation result of an object to be evaluated through an object evaluation model according to the target operation characteristic information; and according to the evaluation result, carrying out object management on the object to be evaluated. The management scheme in the embodiment of the disclosure is simpler to implement, has lower cost and can better ensure the effect.

Description

Image-based object management method, device and computer-readable storage medium

Technical Field

The present disclosure relates to the field of decoration technologies, and in particular, to an image-based object management method, an image-based object management apparatus, and a computer-readable storage medium.

Background

With the rapid development of the real estate field, a plurality of decoration sites exist at present, and in order to realize the management of the decoration sites and related workers, the management scheme adopted by real estate companies at present is as follows: and a special manager is equipped, and the manager manages according to the information of the decoration site and the related workers, and combines own experience.

It should be noted that, a great deal of time and effort are often spent on information collection, and the experience of the administrator often has strong subjectivity, so the management scheme is not only time-consuming and labor-consuming, and has high cost, but also the effect is difficult to ensure.

Disclosure of Invention

The present disclosure is proposed to solve the above technical problems. The embodiment of the disclosure provides an image-based object management method, an image-based object management device and a computer-readable storage medium.

According to an aspect of an embodiment of the present disclosure, there is provided an image-based object management method, including:

acquiring a construction site operation image associated with an object to be evaluated;

performing image recognition processing on the construction site operation image associated with the object to be evaluated to obtain target operation characteristic information;

obtaining an evaluation result of the object to be evaluated through an object evaluation model according to the target operation characteristic information;

and according to the evaluation result, carrying out object management on the object to be evaluated.

In one alternative example of this, the user may,

the object to be evaluated comprises a person to be evaluated, and the evaluation result comprises a person efficiency evaluation result;

and/or the presence of a gas in the gas,

the object to be evaluated comprises a decoration site to be evaluated, and the evaluation result comprises a construction period evaluation result.

In one optional example, the method further comprises:

acquiring a worksite work image associated with a reference person;

performing image recognition processing on a construction site operation image associated with the reference person to obtain first reference operation characteristic information;

determining a personnel performance assessment label for the reference personnel;

and training according to the first reference operation characteristic information and the personnel effectiveness evaluation label to obtain the object evaluation model.

In an optional example, the determining the staff effectiveness evaluation label of the reference staff comprises:

acquiring N evaluation scores of the reference personnel in N evaluation dimensions;

when N is greater than or equal to 2, carrying out weighted calculation on the N evaluation scores by using N weights corresponding to the N evaluation dimensions, and taking a weighted calculation result as a target score; in the case where N is 1, the N evaluation scores are taken as target scores;

comparing the target score with a preset score threshold value to obtain a comparison result;

determining that the personnel efficiency evaluation label of the reference personnel is used for representing the personnel efficiency grade of the reference personnel to be a first grade under the condition that the comparison result meets a preset condition; otherwise, determining that the personnel performance evaluation label of the reference personnel is used for representing the personnel performance grade of the reference personnel to be a second grade; wherein the first level is hierarchically higher than the second level.

In one optional example, the method further comprises:

obtaining a site operation image associated with a reference finishing site;

performing image recognition processing on the construction site operation image associated with the reference decoration construction site to obtain second reference operation characteristic information;

determining a construction period condition label of the reference decoration construction site;

and training according to the second reference operation characteristic information and the construction period condition label to obtain the object evaluation model.

In an optional example, the performing, according to the evaluation result, object management on the object to be evaluated includes:

according to the staff effectiveness evaluation result, corresponding reward and punishment measures are executed for the staff to be evaluated and/or corresponding decoration orders are distributed for the staff to be evaluated;

alternatively, the first and second electrodes may be,

determining the predicted delay time of the decoration site to be evaluated according to the construction period evaluation result, and carrying out scheduling processing on the decoration site to be evaluated according to the predicted delay time;

alternatively, the first and second electrodes may be,

and under the condition that the decoration site to be evaluated has the risk of delay of the construction period according to the construction period evaluation result, carrying out personnel scheduling processing on the decoration site to be evaluated according to the personnel efficiency evaluation result.

In one alternative example of this, the user may,

the object to be evaluated comprises a person to be evaluated, and the target operation characteristic information comprises at least one of the following items: personnel image information, personnel behavior information, construction site environment information and material condition information;

alternatively, the first and second electrodes may be,

the object to be evaluated comprises a decoration construction site to be evaluated, and the target operation characteristic information comprises at least one of the following items: personnel image information, personnel behavior information, construction site environment information, material condition information and construction problem information.

In an optional example, the object to be evaluated comprises a person to be evaluated;

the image recognition processing of the construction site operation image associated with the object to be evaluated to obtain target operation characteristic information includes:

acquiring the personnel type of the personnel to be evaluated;

determining an operation characteristic dimension corresponding to the personnel type;

performing image recognition processing on the construction site operation image associated with the object to be evaluated to obtain target operation characteristic information belonging to the operation characteristic dimension;

the obtaining of the evaluation result of the object to be evaluated through an object evaluation model according to the target operation characteristic information includes:

and acquiring an evaluation result of the person to be evaluated through an object evaluation model corresponding to the person type according to the target operation characteristic information.

According to another aspect of the embodiments of the present disclosure, there is provided an image-based object management apparatus including:

the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring a construction site operation image related to an object to be evaluated;

the second acquisition module is used for carrying out image recognition processing on the construction site operation image associated with the object to be evaluated so as to obtain target operation characteristic information;

the third acquisition module is used for acquiring an evaluation result of the object to be evaluated through an object evaluation model according to the target operation characteristic information;

and the management module is used for carrying out object management on the object to be evaluated according to the evaluation result.

In one alternative example of this, the user may,

and/or the presence of a gas in the gas,

In one optional example, the apparatus further comprises:

a fourth acquisition module for acquiring a worksite operation image associated with a reference person;

the fifth acquisition module is used for carrying out image recognition processing on the construction site operation image associated with the reference personnel to obtain first reference operation characteristic information;

a first determination module for determining a staff effectiveness evaluation label of the reference staff;

and the sixth acquisition module is used for training according to the first reference operation characteristic information and the personnel effectiveness evaluation label to obtain the object evaluation model.

In one optional example, the first determining module comprises:

the first obtaining submodule is used for obtaining N evaluation scores of the reference personnel in N evaluation dimensions;

the first determining submodule is used for performing weighted calculation on the N evaluation scores by using N weights corresponding to the N evaluation dimensions under the condition that N is greater than or equal to 2, and taking a weighted calculation result as a target score; in the case where N is 1, the N evaluation scores are taken as target scores;

the second obtaining submodule is used for comparing the target score with a preset score threshold value to obtain a comparison result;

the second determining submodule is used for determining that the personnel efficiency evaluation label of the reference personnel is used for representing the personnel efficiency grade of the reference personnel to be a first grade under the condition that the comparison result meets a preset condition; otherwise, determining that the personnel performance evaluation label of the reference personnel is used for representing the personnel performance grade of the reference personnel to be a second grade; wherein the first level is hierarchically higher than the second level.

In one optional example, the apparatus further comprises:

a seventh obtaining module for obtaining a site operation image associated with the reference finishing site;

the eighth acquisition module is used for carrying out image recognition processing on the construction site operation image associated with the reference decoration construction site to obtain second reference operation characteristic information;

a second determination module for determining a construction period condition label for the reference finishing site;

and the ninth acquisition module is used for training according to the second reference operation characteristic information and the construction period condition label to obtain the object evaluation model.

In an optional example, the management module is specifically configured to:

alternatively, the first and second electrodes may be,

In one alternative example of this, the user may,

alternatively, the first and second electrodes may be,

the second obtaining module includes:

the third obtaining submodule is used for obtaining the personnel type of the personnel to be evaluated;

a third determining submodule, configured to determine an operation feature dimension corresponding to the person type;

the fourth obtaining submodule is used for carrying out image recognition processing on the construction site operation image associated with the object to be evaluated so as to obtain target operation characteristic information belonging to the operation characteristic dimension;

the third obtaining module is specifically configured to:

According to still another aspect of an embodiment of the present disclosure, there is provided a computer-readable storage medium storing a computer program for executing the above-described image-based object management method.

According to still another aspect of an embodiment of the present disclosure, there is provided an electronic device including:

a processor;

a memory for storing the processor-executable instructions;

the processor is used for reading the executable instruction from the memory and executing the instruction to realize the image-based object management method.

In the embodiment of the disclosure, after the construction site job image associated with the object to be evaluated is acquired, the acquired construction site job image is subjected to image recognition processing, so that target job feature information can be obtained, and then, an evaluation result of the object to be evaluated can be acquired via the object evaluation model according to the target job feature information, so that object management can be performed on the object to be evaluated according to the evaluation result. Therefore, in the embodiment of the disclosure, the relevant operation characteristic information of the object to be evaluated can be automatically collected based on the construction site operation image associated with the object to be evaluated, and then the management of the object to be evaluated can be realized by combining with the use of the object evaluation model.

Drawings

The above and other objects, features and advantages of the present disclosure will become more apparent by describing in more detail embodiments of the present disclosure with reference to the attached drawings. The accompanying drawings are included to provide a further understanding of the embodiments of the disclosure and are incorporated in and constitute a part of this specification, illustrate embodiments of the disclosure and together with the description serve to explain the principles of the disclosure and not to limit the disclosure. In the drawings, like reference numbers generally represent like parts or steps.

Fig. 1 is a flowchart illustrating an image-based object management method according to an exemplary embodiment of the present disclosure.

Fig. 2 is a flowchart illustrating an image-based object management method according to another exemplary embodiment of the present disclosure.

FIG. 3 is a schematic view of vision-based finishing site management in an exemplary embodiment of the present disclosure.

FIG. 4 is a schematic illustration of human effect analysis in an exemplary embodiment of the disclosure.

Fig. 5 is a schematic flow chart illustrating the construction of a human efficiency assessment model according to an exemplary embodiment of the disclosure.

FIG. 6 is a schematic illustration of a construction flow of a construction site schedule prediction model in an exemplary embodiment of the disclosure.

Fig. 7 is a schematic structural diagram of an image-based object management apparatus according to an exemplary embodiment of the present disclosure.

Fig. 8 is a block diagram of an electronic device provided in an exemplary embodiment of the present disclosure.

Detailed Description

Hereinafter, example embodiments according to the present disclosure will be described in detail with reference to the accompanying drawings. It is to be understood that the described embodiments are merely a subset of the embodiments of the present disclosure and not all embodiments of the present disclosure, with the understanding that the present disclosure is not limited to the example embodiments described herein.

It should be noted that: the relative arrangement of the components and steps, the numerical expressions, and numerical values set forth in these embodiments do not limit the scope of the present disclosure unless specifically stated otherwise.

It will be understood by those within the art that the terms "first", "second", etc. in the embodiments of the present disclosure are used merely to distinguish one step, device or module from another, and do not denote any particular technical meaning or necessary logical order.

It is also understood that in embodiments of the present disclosure, "a plurality" may refer to two or more and "at least one" may refer to one, two or more. Any reference to any component, data, or structure in the embodiments of the disclosure, unless explicitly stated or otherwise indicated, may generally be understood as one or more.

The term "and/or" in this disclosure is only one kind of association relationship describing the associated object, and means that there may be three kinds of relationships, for example, a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" in the present disclosure generally indicates that the former and latter associated objects are in an "or" relationship.

It should also be understood that the description of the various embodiments of the present disclosure emphasizes the differences between the various embodiments, and the same or similar parts may be referred to each other, so that the descriptions thereof are omitted for brevity.

Meanwhile, it should be understood that the sizes of the respective portions shown in the drawings are not drawn in an actual proportional relationship for the convenience of description.

The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the disclosure, its application, or uses.

Techniques, methods, and apparatus known to those of ordinary skill in the relevant art may not be discussed in detail but are intended to be part of the specification where appropriate.

It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, further discussion thereof is not required in subsequent figures.

The disclosed embodiments may be applied to electronic devices such as terminal devices, computer systems, servers, etc., which are operational with numerous other general purpose or special purpose computing system environments or configurations. Examples of well known terminal devices, computing systems, environments, and/or configurations that may be suitable for use with electronic devices, such as terminal devices, computer systems, servers, and the like, include, but are not limited to: personal computer systems, server computer systems, thin clients, thick clients, hand-held or laptop devices, microprocessor-based systems, set top boxes, programmable consumer electronics, network pcs, minicomputer systems, mainframe computer systems, distributed cloud computing environments that include any of the above systems, and the like.

Electronic devices such as terminal devices, computer systems, servers, etc. may be described in the general context of computer system-executable instructions, such as program modules, being executed by a computer system. Program modules may include routines, programs, objects, components, logic, data structures, etc. that perform particular tasks or implement particular abstract data types. The computer system/server may be practiced in distributed cloud computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed cloud computing environment, program modules may be located in both local and remote computer system storage media including memory storage devices.

Exemplary method

Fig. 1 is a flowchart illustrating an image-based object management method according to an exemplary embodiment of the present disclosure. The method shown in fig. 1 may include step 101, step 102, step 103 and step 104, which are described separately below.

Step 101, a construction site job image associated with an object to be evaluated is acquired.

In step 101, an image collection device may be invoked to collect an image of a worksite job associated with an object to be evaluated.

Here, since the non-fisheye camera has a small field of view and can observe a relatively good scene depending on a position and an orientation, the image capturing device may preferably be a fisheye camera, which can effectively utilize the advantages of a wide field of view of the fisheye camera and easy observation of a relatively good scene (for example, a fisheye camera can photograph a ground and a wall even if it is installed on the top of a house).

It should be noted that the object to be evaluated includes, but is not limited to, a person to be evaluated, a finishing site to be evaluated, and the like. Here, the person to be evaluated may be any decoration site worker that needs to be managed, including but not limited to a worker, a foreman, a housekeeper, a patrol inspection, and the like, and the site work image associated with the object to be evaluated may only include an image of the decoration site where the person to be evaluated is located within a certain distance range; the finishing site to be evaluated may be any finishing site under construction, and the work job image associated with the object to be evaluated may include an image of the entire finishing site to be evaluated.

And 102, carrying out image recognition processing on the construction site operation image associated with the object to be evaluated to obtain target operation characteristic information.

In step 102, an image recognition algorithm may be used to perform image recognition processing on the image of the work site job associated with the object to be evaluated to obtain target job characteristic information. Here, in the case where the object to be evaluated includes a person to be evaluated, the target work characteristic information may be work characteristic information of a single person (i.e., the person to be evaluated); in the case where the object to be evaluated includes a finishing site to be evaluated, the target work characteristic information may be integrated work characteristic information of a plurality of persons working at the finishing site to be evaluated.

In one embodiment of the present invention, the substrate is,

alternatively, the first and second electrodes may be,

It should be noted that, although in both cases where the object to be evaluated includes the person to be evaluated and the object to be evaluated includes the finishing site to be evaluated, the target operation characteristic information may include personnel image information, personnel behavior information, construction site environment information, and material condition information, however, in the former case, the personnel image information, the personnel behavior information, the construction site environment information and the material condition information in the target operation characteristic information are specifically personnel image information, personnel behavior information, construction site environment information and material condition information related to a single person, in the latter case, the person image information, the person behavior information, the site environment information and the material condition information in the target operation characteristic information are the person image information, the person behavior information, the site environment information and the material condition information which are integrated by a plurality of persons.

Optionally, the person image information can be used for representing whether a person wears a work clothes, wears a safety helmet and the like; the staff behavior information can be used for representing whether staff correctly perform the own-job behaviors (such as whether the wall brushing action of a clay worker is standard or not), the efficiency condition and the quality condition when the staff performs the own-job behaviors, whether the staff has illegal behaviors such as smoking and drinking or not and the like; the construction site environment information can be used for representing whether the sanitary condition meets the requirement or not and whether the sundry stacking condition meets the requirement or not; the material condition information can be used for representing which materials are specifically used by personnel, whether the materials are specified materials of a house company, whether the materials are specified materials of a set system, whether the materials are stacked integrally and the like.

In this embodiment, the target operation characteristic information may include information such as person image information, person behavior information, site environment information, and material condition information, and the target operation characteristic information may effectively represent the operation characteristics of the object to be evaluated.

And 103, acquiring an evaluation result of the object to be evaluated through the object evaluation model according to the target operation characteristic information.

Here, the object evaluation model may be a model trained in advance for evaluating the object to be evaluated. In step 103, the target job feature information may be provided as input data to the object evaluation model, and the object evaluation model may perform operation accordingly to obtain and output an evaluation result of the object to be evaluated.

In one embodiment of the present invention, the substrate is,

and/or the presence of a gas in the gas,

Here, the person efficiency evaluation result may be used to represent whether the person to be evaluated belongs to a high-efficiency person or a low-efficiency person. Assuming that the person to be evaluated is a worker and belongs to a highly efficient person, the person to be evaluated can be considered to have the characteristics of "good", "fast" and "province", wherein "good" means good working quality, few problems, correct service attitude and high user satisfaction, and "fast" means high working efficiency, and "province" means material consumption saving.

Here, the construction period evaluation result may be used to represent whether a construction period delay may occur in the decoration site to be evaluated, and if the construction period delay may occur, how long the delay time is predicted, that is, the construction period evaluation result may specifically be a delay condition evaluation result. Of course, the result of the time limit evaluation is not limited to the result of the delay condition evaluation, for example, the result of the time limit evaluation may be used to represent whether the finishing work site to be evaluated can finish finishing as expected, in which case the result of the time limit evaluation is specifically the result of the delay condition evaluation, and for example, the result of the time limit evaluation may be used to represent whether the finishing work site to be evaluated can finish finishing in advance, in which case the result of the time limit evaluation is specifically the result of the advance ending evaluation. For convenience of understanding, in the embodiments of the present disclosure, a case where the result of the period evaluation is the result of the delay condition evaluation is taken as an example for explanation.

In this embodiment, the object evaluation model is used to obtain the staff performance evaluation result and/or the construction period evaluation result conveniently and reliably, the staff performance evaluation result can be used for subsequent staff management, and the construction period evaluation result can be used for subsequent construction period management.

And 104, performing object management on the object to be evaluated according to the evaluation result.

In one embodiment, step 104 comprises:

according to the efficiency evaluation result of the personnel, corresponding reward and punishment measures are executed aiming at the personnel to be evaluated and/or corresponding decoration orders are distributed to the personnel to be evaluated;

alternatively, the first and second electrodes may be,

and carrying out personnel scheduling processing on the decoration site to be evaluated according to the personnel efficiency evaluation result under the condition that the decoration site to be evaluated has the risk of construction period delay according to the construction period evaluation result.

Here, in the case that the object to be evaluated includes a person to be evaluated, since the person performance evaluation result may be used to represent whether the person to be evaluated belongs to a high-performance person or a low-performance person, the bonus awarded to the person to be evaluated may be increased in the case that the person to be evaluated is the high-performance person, and the bonus awarded to the person to be evaluated is reduced in the case that the person to be evaluated is the low-performance person, so as to realize a reward and punishment of the person to be evaluated, and/or a decoration order with an urgent construction period may be allocated to the person to be evaluated in the case that the person to be evaluated belongs to the high-performance person, and a decoration order with a sufficient construction period is allocated to the object to be evaluated in the case that the person to be evaluated belongs to the low-performance person, so as to reduce a probability of a delay of.

Here, in the case that the object to be evaluated includes the decoration site to be evaluated, since the result of the evaluation of the construction period can be used to represent whether the decoration site to be evaluated is delayed in construction period, and if the delay in construction period occurs, and the length of the predicted delay time is long, the predicted delay time can be extracted from the result of the evaluation of the construction period in the case that the decoration site to be evaluated is delayed in construction period, and other currently idle personnel are dispatched to perform operation on the decoration site to be evaluated according to the length of the predicted delay time, so as to reduce the possibility of the delay in construction period of the decoration site to be evaluated as much as possible, and the number of the dispatched personnel can be positively correlated with the predicted delay time; and/or the materials can be allocated to the decoration site to be evaluated according to the corresponding priority according to the length of the predicted delay time, for example, the materials can be allocated to the decoration site to be evaluated according to the highest priority under the condition that the predicted delay time is very long, so that the condition that the construction period of the decoration site to be evaluated is influenced by the materials is avoided.

Here, under the condition that the object to be evaluated includes both the person to be evaluated and the decoration site to be evaluated, if the result of the period evaluation is used for representing that the decoration site to be evaluated has a period delay risk, at this time, the high-performance person can be called to perform the operation on the decoration site to be evaluated by referring to the result of the efficiency evaluation of the person, so as to reduce the possibility of the period delay on the decoration site to be evaluated as much as possible.

Therefore, in the embodiment, by referring to the performance evaluation result of the personnel, corresponding reward and punishment measures can be reasonably executed on the personnel to be evaluated and/or corresponding decoration orders can be distributed to the personnel to be evaluated, so that the personnel can be effectively managed; the scheduling processing of personnel, materials and the like can be reasonably carried out aiming at the decoration site to be evaluated by referring to the evaluation result of the construction period, so that the management of the construction period of the decoration site is realized; and the personnel efficiency evaluation result and the construction period evaluation result are combined, and personnel scheduling processing can be reasonably carried out on the decoration site to be evaluated, so that the construction period of the decoration site can be managed.

In one optional example, the method further comprises:

acquiring a worksite work image associated with a reference person;

performing image recognition processing on a construction site operation image associated with a reference person to obtain first reference operation characteristic information;

determining a staff effectiveness evaluation label of a reference staff;

and training according to the first reference operation characteristic information and the personnel efficiency evaluation label to obtain an object evaluation model.

Here, a first database may be preset, and the first database may store personnel data of each of a plurality of personnel, and the personnel data of any one of the personnel includes, but is not limited to, at least one of the following: the method comprises the steps of working images of the personnel on various historically-serviced finishing sites, postponement situation data of various historically-serviced finishing sites, user satisfaction data of the personnel, and complaint situation data of the personnel.

In the embodiment of the disclosure, the work site operation image in the personnel data of the reference personnel may be acquired from the first database, and the acquired work site operation image may be used as the work site operation image associated with the reference personnel. It should be noted that, in order to ensure the effect of model training, the number of reference persons generally needs to be multiple, for example, thousands of reference persons, and for ease of understanding, the embodiment of the present disclosure is described with reference to only the relevant processing of a single reference person.

Next, an image recognition algorithm may be used to perform image recognition processing on the worksite job image associated with the reference person to obtain first reference job feature information, where information included in the first reference job feature information refers to the above description of information included in the target job feature information when the object to be evaluated includes the person to be evaluated, and is not described herein again.

Thereafter, a personnel performance assessment label for the reference personnel can be determined. In one embodiment, determining a personnel performance assessment tag for a reference personnel comprises:

acquiring N evaluation scores of a reference person in N evaluation dimensions;

when N is greater than or equal to 2, carrying out weighted calculation on the N evaluation scores by using N weights corresponding to the N evaluation dimensions, and taking the weighted calculation result as a target score; in the case where N is 1, taking N evaluation scores as target scores;

determining the personnel effectiveness evaluation label of the reference personnel to be used for representing the personnel effectiveness grade of the reference personnel as a first grade under the condition that the comparison result meets the preset condition; otherwise, determining the personnel performance evaluation label of the reference personnel for representing the personnel performance level of the reference personnel as a second level; wherein the first level is higher in level than the second level.

Here, N may be any integer greater than or equal to 1, a one-to-one correspondence may be provided between the N evaluation dimensions and the N evaluation scores, a one-to-one correspondence may be provided between the N evaluation dimensions and the N weights, and a weight corresponding to any one evaluation dimension may be a preset weight.

In a specific example, N may be 3, N evaluation dimensions may be a delay condition dimension, a user satisfaction dimension, and a complaint condition dimension, respectively, and corresponding score calculation formulas may be set for the delay condition dimension, the user satisfaction dimension, and the complaint condition dimension, respectively.

In order to determine the staff effectiveness evaluation label of the reference staff, delay condition data, user satisfaction data and complaint condition data in the staff data of the reference staff can be extracted from the first database, the average delay days of the reference staff can be calculated based on the acquired delay condition data, and the evaluation score of the reference staff in the delay condition dimension can be calculated by substituting the average delay days into a score calculation formula corresponding to the delay condition dimension; based on the obtained user satisfaction data, the average user satisfaction rate of the reference personnel can be calculated, and the evaluation score of the reference personnel in the user satisfaction dimension can be calculated by substituting the average user satisfaction rate into a score calculation formula corresponding to the user satisfaction dimension; based on the obtained delay condition data, the average complaint rate of the reference personnel can be calculated, and the evaluation score of the reference personnel in the complaint condition dimension can be calculated by substituting the average complaint rate into a score calculation formula corresponding to the complaint condition dimension. It should be noted that, by reasonably setting each score calculation formula, the evaluation score of the reference person in the delay condition dimension is negatively correlated with the average delay days, the evaluation score of the reference person in the user satisfaction dimension is positively correlated with the average user satisfaction rate, and the evaluation score of the reference person in the complaint condition dimension is negatively correlated with the average complaint rate.

After 3 evaluation scores of the reference staff in the 3 evaluation dimensions of the postpone situation dimension, the user satisfaction dimension, and the complaint situation dimension are obtained, the 3 evaluation scores may be weighted and calculated by using 3 weights corresponding to the 3 evaluation dimensions, for example, weighted summation calculation or weighted average calculation is performed to obtain a weighted calculation result, and the weighted calculation result may be used as a target score.

Next, the target score may be compared with a preset score threshold to obtain a comparison result, and the comparison result may be used to characterize a magnitude relationship between the target score and the preset score threshold. When the comparison result represents that the target score is greater than the preset score threshold, the comparison result can be judged to meet the preset condition, and at this time, the staff effectiveness level of the staff effectiveness evaluation label of the reference staff for representing the reference staff can be determined to be a first level, and the first level can be specifically a high staff effectiveness level; when the comparison result represents that the target score is less than or equal to the preset score threshold, it may be determined that the comparison result does not satisfy the preset condition, and at this time, the staff effectiveness level of the staff effectiveness evaluation tag for representing the reference staff may be determined as a second level, and the second level may specifically be a low staff effectiveness level.

In this embodiment, after the N evaluation scores of the reference person in the N evaluation dimensions are obtained, the target score may be determined in an appropriate manner based on the value of N, and then the person effectiveness evaluation label of the reference person may be reasonably determined according to whether the comparison result of the target score and the preset score threshold satisfies the preset condition.

It should be noted that the method for determining the staff performance evaluation tags of the reference staff is not limited to this, for example, the manager may divide the reference staff into high-performance staff or low-performance staff in advance according to the historical performance of the reference staff, and according to the division result, the corresponding staff performance evaluation tags may be stored in the staff data of the reference staff in the first database, so that when the staff performance evaluation tags of the reference staff need to be used, the staff performance evaluation tags may be directly extracted from the staff data of the reference staff in the first database.

In the embodiment of the disclosure, after obtaining the first reference operation characteristic information through the image recognition processing of the image of the work site operation associated with the reference person and determining the person performance evaluation label of the reference person, the first reference operation characteristic information and the person performance evaluation label may constitute model training data, and the model training data may be used for training to obtain the object evaluation model, for example, the first reference operation characteristic information may be used as input data, and the person performance evaluation label may be used as output data for training to obtain the object evaluation model conveniently and reliably, the trained object evaluation model may be a model capable of performing person performance evaluation to classify a person into a high performance person or a low performance person, and specifically, the trained object evaluation model may be an eXtreme Gradient boost (eXtreme Gradient boost, xgboost) classification model, so that management of personnel can be conveniently and effectively realized according to the object evaluation model obtained by training.

In one optional example, the method further comprises:

obtaining a site operation image associated with a reference finishing site;

determining a construction period condition label of a reference decoration construction site;

and training according to the second reference operation characteristic information and the construction period condition label to obtain an object evaluation model.

Here, a second database may be provided in advance, in which the site data of each of a plurality of finished finishing sites may be stored, the site data of any finishing site including, but not limited to, at least one of: the building site operation image of this decoration building site, the predetermined time limit for this decoration building site, the actual time limit for this decoration building site, the information of each personnel who has participated in the operation of this decoration building site.

In the embodiment of the disclosure, the construction site operation image in the working data of the reference decoration construction site may be acquired from the second database, and the acquired construction site operation image may be used as the construction site operation image associated with the reference decoration construction site. It should be noted that, in order to ensure the model training effect, the number of the reference decoration sites generally needs to be multiple, for example, thousands of reference decoration sites, and for understanding, the embodiment of the disclosure is only described with respect to the related processing of a single reference decoration site.

Next, an image recognition algorithm may be adopted to perform image recognition processing on the construction site operation image associated with the reference decoration construction site to obtain second reference operation characteristic information, where information included in the second reference operation characteristic information refers to the description of information included in the target operation characteristic information in the case where the object to be evaluated includes the target decoration construction site, and is not described herein again.

Thereafter, a schedule label for the reference finishing site may be determined. In one embodiment, the original project time and the actual project time may be obtained from the second database, and if the number of days of the original project time is greater than or equal to the number of days of the actual project time, which indicates that the project time delay of the reference finishing site has not actually occurred, the project time status label of the reference finishing site may be determined as 0, and conversely, if the number of days of the original project time is less than the number of days of the actual project time, which indicates that the project time delay of the reference finishing site has actually occurred, the actual delay time (e.g., the actual delay number of days) may be determined based on the number of days of the original project time and the number of days of the actual project time, and the project time status label of the reference finishing site may be determined as the actual delay time.

Of course, the manner of determining the construction period condition tag of the reference finishing work site is not limited to this, and for example, if the number of days of the planned construction period is longer than or equal to the number of days of the actual construction period, the construction period condition tag of the reference finishing work site may be determined to be 0, otherwise, the construction period condition tag of the reference finishing work site may be directly determined to be 1 regardless of the actual delay time.

In the embodiment of the present disclosure, the second reference job characteristic information is obtained by the image recognition processing of the construction site job image associated with the reference decoration construction site, and determining the construction period condition tags for the reference finishing site, the second reference job characteristic information and the construction period condition tags may constitute model training data with which training may be performed to obtain an object evaluation model, for example, the second reference job feature information may be used as input data, the project period situation label may be used as output data for training, the object evaluation model is conveniently and reliably obtained, the object evaluation model obtained by training can be a model capable of evaluating the construction period condition of the decoration construction site, for example, a model capable of predicting possible delay time of a decoration site can be used, so that the management of the construction period of the decoration site can be conveniently and effectively realized according to the trained object evaluation model.

Optionally, the object to be evaluated includes a person to be evaluated, then on the basis of the embodiment shown in fig. 1,

as shown in fig. 2, step 102 includes:

step 1021, acquiring the personnel type of the personnel to be evaluated;

step 1022, determining the job characteristic dimension corresponding to the personnel type;

1023, carrying out image identification processing on the construction site operation image associated with the object to be evaluated to obtain target operation characteristic information belonging to operation characteristic dimensionality;

step 103, comprising:

and step 1031, obtaining an evaluation result of the person to be evaluated through the object evaluation model corresponding to the person type according to the target operation characteristic information.

Here, the object to be evaluated includes a person to be evaluated, and then the person type of the person to be evaluated may be obtained, where the person type includes, but is not limited to, a worker type, a foreman type, a housekeeper type, a patrol type, and the like.

In one embodiment, since the wear of workers, captain, steward, patrol, etc. is different, for example, the worker and patrol dress patterns and helmet colors may be different, the type of person being assessed may be identified by the worker dress pattern and/or helmet color in the image of the worksite job associated with the person being assessed.

In another specific embodiment, the person data of any person in the first database may include the person type of the person, so that the person type of the person to be evaluated may be directly extracted from the person data of the person to be evaluated in the first database.

It should be noted that, in the embodiment of the present disclosure, a corresponding relationship between a worker type and an operation feature dimension may be preset, in the corresponding relationship, the operation feature dimension corresponding to the worker type may include 4 operation feature dimensions, which are a human image dimension, a human behavior dimension, a building site environment dimension, and a material condition dimension, and the operation feature dimension corresponding to the inspection type may only include 2 operation feature dimensions, which are a human image dimension and a human behavior dimension. Therefore, after the personnel type of the personnel to be evaluated is obtained, the operation characteristic dimension corresponding to the personnel type of the personnel to be evaluated can be conveniently and reliably determined according to the preset corresponding relation.

Then, when the image recognition processing is performed on the construction site operation image associated with the object to be evaluated, the target operation characteristic information belonging to the determined operation characteristic dimension may be obtained, for example, in the case that the personnel type of the personnel to be evaluated is a worker type, the target operation characteristic information may simultaneously include personnel image information, personnel behavior information, construction site environment information, and material condition information, and in the case that the personnel type of the personnel to be evaluated is a patrol inspection type, the target operation characteristic information may only include the personnel image information and the personnel behavior information.

It should be noted that, because the model training process and the model using process are usually corresponding, and for the model using process, under the condition that the types of the people to be evaluated are different, the information categories included in the target operation characteristic information may be different, and correspondingly, for the model training process, the information categories included in the first reference operation characteristic information used in the model training may also be different for different types of people, for example, for the type of worker, the first reference operation characteristic information used in the model training may include the person image information, the person behavior information, the site environment information, and the material condition information at the same time, and for the inspection type, the first reference operation characteristic information used in the model training may include only the person image information and the person behavior information, so that, for various types of people, corresponding object evaluation models can be obtained through training respectively, and then after the target operation characteristic information is obtained, the object evaluation model corresponding to the personnel type of the personnel to be evaluated can be selected from the object evaluation models obtained through training, and the personnel efficiency evaluation result of the personnel to be evaluated can be obtained according to the selected object evaluation model.

In the embodiment of the disclosure, different personnel types can correspond to different object evaluation models, based on the personnel type of the reference to-be-evaluated personnel, target operation characteristic information belonging to corresponding characteristic dimensions can be obtained through image recognition processing of a construction site operation image associated with the to-be-evaluated object, and an evaluation result of the to-be-evaluated personnel is obtained by using the corresponding object evaluation model, so that the accuracy and reliability of the evaluation result are favorably ensured.

It should be noted that, based on the construction site operation image collected by the fisheye camera, the embodiment of the present disclosure may perform management on the decoration construction site and related workers through vision, where the management is divided into two layers, one layer is an intuitive basic management, and the other layer is a deep processing on basic information generated based on the basic management to form a deep management.

As shown in fig. 3, the intuitive basic management includes: basic management of people, affairs, matters and matters. The basic management of people mainly adopts technologies such as face comparison, human body tracking, human body pedestrian Re-identification (REID) and the like to identify who a Person is, and the Person can be determined to be a worker, a worker leader, a manager, a patrol inspector, an owner and the like after knowing who the Person is, and if the Person is a worker of a house company such as the worker, the worker leader, the manager, the patrol inspector and the like, the Person should wear a corresponding work clothes. Basic management of objects can be considered as management of materials (such as decoration materials of cement, sand, putty, water and electricity pipelines and the like) on a decoration site, and mainly adopts a material identification technology to determine material types, whether the materials are specified materials of companies, whether the materials are specified materials of a set system, the quantity of the materials, who is a main person using the materials, which is a corresponding event (such as which construction process is corresponding), what is loss and the like. The basic management of events is to record the starting and ending time of the event, identify the type of the event and the fine classification of the event. The relevant status related to the event is defined as quality (meaning quality), such as whether the process quality is up to standard or not and whether some problems are found after the process is executed and finished. In addition, the decoration site often has a corresponding dynamic change, such as whether the construction period is as scheduled, problem situations found by Artificial Intelligence (AI), problem situations found by routing inspection and each stage, satisfaction degree of users, and the like.

After the basic information is obtained through the basic management in fig. 3, the basic information may be further processed for subsequent schedule management, constructor scheduling management, patrol inspector scheduling management, attendance management, human efficiency management, warehousing replenishment management, and the like. Specifically, by associating people with things, a personnel efficiency model (which is equivalent to the object evaluation model obtained by training according to the first reference operation characteristic information and the personnel efficiency evaluation label) can be formed, the efficiency of the personnel (such as workers) can be analyzed, and meanwhile, the personnel efficiency model is associated with the quality of the event initiated by the workers so as to estimate the condition of the construction period, and further judge whether the workers can complete the operation as long as the quality guarantee period, meanwhile, the dispatching can be performed according to the analyzed efficiency of different types of personnel, and warehousing, distribution and goods dispatching can be performed according to the condition of the construction period, so that the construction period is prevented from being prolonged due to goods materials.

It should be noted that, when deep processing is performed on the basic information, human effect analysis can be performed, and the human effect analysis can be specifically divided into human effect analysis of workers, human effect analysis of management and management, human effect analysis of inspection and the like, and the human effect analysis of workers can be specifically shown in fig. 4.

As can be seen from fig. 4, analyzing the human effect of a certain worker can obtain all records of historical work of the worker, and perform multi-dimensional analysis accordingly.

Specifically, by analyzing the worker's dress compliance rate and whether it conflicts with the customer, his attitude score can be derived.

The quality score of the process can be obtained by analyzing the working quality of workers, and by taking the brick paving process as an example, the process can be inspected due to routing inspection, acceptance inspection and other channels, the flatness and the hollowing condition of the process are analyzed, and the quality score can be comprehensively obtained by combining the flatness and the hollowing condition. Assuming that the flatness weight is y, the weight of the empty drum is 1-y, the area of the uneven flatness is a, the area of the empty drum is b, and the total area of the tiled bricks is c, the flatness rate is 1-a/c, the empty drum rate is 1-b/c, the quality score of the process is [ y flatness rate + (1-y) empty drum rate ] + 100+ additional score, the additional score is from the user satisfaction degree, and the user satisfaction degree score is 10 at most.

By analyzing the working time and the working amount of workers, the average efficiency of the workers in a certain process can be obtained, and the efficiency of the certain process is the working amount of the certain process/the working time of the certain process. Taking the brick paving process as an example, assuming that a worker works for h hours and the paving area is x square meters, the paving efficiency is x/h, and the unit is square meters per hour, and then the average efficiency of the process of the worker is the average of the efficiency of the process.

By analyzing the working area and the material consumption of workers, the average material consumption rate of the workers for a certain process can be obtained. Still taking the tile paving process as an example, assuming that the paving area is c and the total tile area is d, the material consumption rate of the paving process is d/c, and the average material consumption rate of the worker paving process is the average of the material consumption rates of multiple paving processes.

It should be noted that, in the human efficiency analysis, the attitude score, the quality score, the average efficiency of a certain process, and the average material consumption rate of a certain process of a worker are analyzed, the attitude score may be one of the N evaluation scores used in the training process of the object evaluation model, and the quality score, the average efficiency of a certain process, and the average material consumption rate of a certain process may be specific contents in the personnel behavior information in the first reference operation characteristic information used in the training process of the object evaluation model.

It should be noted that the average construction quality, the postponed situation, the user satisfaction situation and the like of a plurality of decoration construction sites which are controlled by the manager in history can be comprehensively considered in the human effect analysis of the manager; the inspection manual effect analysis can analyze the decoration construction site of historical inspection by process, the inspection problem discovery rate of a certain process is analyzed, the control degree of the inspection personnel on the process is analyzed, and the inspection personnel is marked with a label of 'the process is magical'.

By combining human effect analysis, the characteristics influencing various human effect indexes of the personnel can be analyzed and obtained, so that a human efficiency evaluation model (which is equivalent to the object evaluation model obtained by training according to the first reference operation characteristic information and the human efficiency evaluation label) is established, and further help is established for personnel standardized management and personnel capacity level alignment. As shown in fig. 5, the process of constructing the human efficiency assessment model may include:

(1) calculating result information such as personnel images, personnel behaviors, construction site environments, material conditions and the like through an image recognition algorithm, and enabling the information to enter a back-end data warehouse after structured historical data is formed;

(2) extracting the structured historical data generated in the step (1) from a data warehouse, and generating structured features (which are equivalent to the target operation feature information in the case that the object to be evaluated comprises the person to be evaluated) with the person as the granularity through data cleaning and feature extraction;

(3) extracting indexes such as item delay rate, complaint rate and user satisfaction of each person in a time range corresponding to the structural features in the step (2) from a data warehouse, performing weighted calculation on a person score label for establishing person granularity (which is equivalent to N weights corresponding to N evaluation dimensions in the above, performing weighted calculation on N evaluation scores, and taking a weighted calculation result as a target score), and setting high-efficiency and low-efficiency labels (which is equivalent to a comparison result between the target score and a preset score threshold in the above, and determining a person efficiency evaluation label of a reference person) through a score threshold;

(4) generating a plurality of sample data by integrating the step (2) and the step (3) to establish a human effect sample data set with personnel granularity (which is equivalent to model training data formed by the first reference operation characteristic information and the personnel effectiveness evaluation labels in the above description), taking high-efficiency personnel as positive samples and taking low-efficiency personnel as negative samples, and sorting the positive and negative sample proportions of the human effect sample data set according to the quantity proportion of the positive and negative samples and the expected high-efficiency personnel proportion;

(5) establishing an Xgboost classification model, and dividing the human effect sample data set obtained in the step (4) into a training set and a test set according to the proportion of 7: 3 for model training and evaluation;

(6) a model that can periodically evaluate the human performance level of the human (i.e., a human performance evaluation model) is generated for subsequent human management.

After the human effects are analyzed, the project period management can be analyzed next. The aim of the construction period management is to have no inequality factors, achieve the aim of completing all decoration construction sites such as the scheduled construction, and one item of the construction period management is important, namely the construction period is estimated, and according to the progress conditions of the current construction period, such as delay, scheduled construction, advance and the like, the human effect of distributable personnel can be combined to carry out dynamic personnel scheduling so as to meet the purpose of completing the scheduled construction. And for some material shortage problems influencing the construction period, the storage and goods allocation sides sense in advance, and the problems are avoided. When the construction period is delayed, in order to speed up the completion of the project and guarantee the quality, workers with high working efficiency and good working quality need to be scheduled to complete the subsequent key construction period, some processes which can be performed in parallel can be performed simultaneously, personnel scheduling of related processes is needed, the corresponding routing inspection personnel scheduling needs to be followed, some materials needed before the process construction are performed, the goods are scheduled in advance and conveyed to the construction site, and therefore the construction progress is not affected.

In order to effectively implement the schedule management, a construction site schedule estimation model (which corresponds to the object evaluation model trained based on the second reference job characteristic information and the schedule condition label in the above) may be established. As shown in fig. 6, the construction flow of the construction site period estimation model may include:

(1) calculating result information such as personnel images, personnel behaviors, construction site environment, material conditions, construction inspection problems and the like by using an image recognition algorithm, and entering a back-end data warehouse after structuring;

(2) extracting the structured historical data generated in the step (1) from a data warehouse, and generating structured features (which are equivalent to the target operation feature information of the object to be evaluated under the condition that the object to be evaluated comprises the decoration site to be evaluated) with the construction site as the granularity through data cleaning and feature extraction;

(3) extracting the construction site delay time data in the time range corresponding to the structural features in the step (2) from a data warehouse, wherein the construction site delay time data is specifically the delay time of each construction site project in units of days, and when no delay or early ending delay time is 0, establishing a delay information data set (which is equivalent to the model training data consisting of the second reference operation feature information and the construction period condition labels in the above) with the construction site as granularity by combining the structural features in the step (2);

(4) establishing a regression model, dividing the postpone information data set in the step (3) into a training set and a testing set according to the proportion of 7: 3, and training and evaluating the regression model to obtain a construction site construction period estimation model for evaluating construction site postpone time;

(5) and (4) evaluating each construction site by using the model obtained in the step (4), predicting possible delay time of the construction site, and helping follow-up personnel and material scheduling.

In conclusion, the embodiment of the disclosure can realize the management of decoration construction sites and related workers based on vision, the whole process is digital, transparent and intelligent, the cost is low, the effect is very good, and the actual requirements can be effectively met.

Any of the image-based object management methods provided by embodiments of the present disclosure may be performed by any suitable device having data processing capabilities, including but not limited to: terminal equipment, a server and the like. Alternatively, any of the image-based object management methods provided by the embodiments of the present disclosure may be executed by a processor, such as the processor executing any of the image-based object management methods mentioned by the embodiments of the present disclosure by calling corresponding instructions stored in a memory. And will not be described in detail below.

Exemplary devices

Fig. 7 is a schematic structural diagram of an image-based object management apparatus according to an exemplary embodiment of the present disclosure, and the apparatus shown in fig. 7 includes a first obtaining module 701, a second obtaining module 702, a third obtaining module 703 and a management module 704.

A first obtaining module 701, configured to obtain a construction site operation image associated with an object to be evaluated;

a second obtaining module 702, configured to perform image recognition processing on a construction site job image associated with an object to be evaluated to obtain target job feature information;

a third obtaining module 703, configured to obtain, according to the target job feature information, an evaluation result of the object to be evaluated through the object evaluation model;

and the management module 704 is configured to perform object management on the object to be evaluated according to the evaluation result.

In one alternative example of this, the user may,

and/or the presence of a gas in the gas,

In one optional example, the apparatus further comprises:

the first determination module is used for determining personnel efficiency evaluation labels of reference personnel;

and the sixth acquisition module is used for training according to the first reference operation characteristic information and the personnel efficiency evaluation label to obtain an object evaluation model.

In one optional example, the first determining module comprises:

the first determining submodule is used for performing weighted calculation on the N evaluation scores by using N weights corresponding to the N evaluation dimensions under the condition that N is greater than or equal to 2, and taking a weighted calculation result as a target score; in the case where N is 1, taking N evaluation scores as target scores;

the second acquisition submodule is used for comparing the target score with a preset score threshold value to obtain a comparison result;

the second determining submodule is used for determining the staff effectiveness evaluation label of the reference staff as a first level when the comparison result meets the preset condition, wherein the staff effectiveness evaluation label is used for representing the staff effectiveness level of the reference staff; otherwise, determining the personnel performance evaluation label of the reference personnel for representing the personnel performance level of the reference personnel as a second level; wherein the first level is higher in level than the second level.

In one optional example, the apparatus further comprises:

the second determination module is used for determining a construction period condition label of the reference decoration construction site;

In an alternative example, the management module 704 is specifically configured to:

alternatively, the first and second electrodes may be,

In one alternative example of this, the user may,

alternatively, the first and second electrodes may be,

a second obtaining module 702, comprising:

the third determining submodule is used for determining operation characteristic dimensions corresponding to the personnel types;

the fourth acquisition submodule is used for carrying out image recognition processing on the construction site operation image associated with the object to be evaluated so as to obtain target operation characteristic information belonging to operation characteristic dimensionality;

the third obtaining module 703 is specifically configured to:

and obtaining the evaluation result of the person to be evaluated through the object evaluation model corresponding to the person type according to the target operation characteristic information.

Exemplary electronic device

Next, an electronic apparatus according to an embodiment of the present disclosure is described with reference to fig. 8. The electronic device may be either or both of the first device and the second device, or a stand-alone device separate from them, which stand-alone device may communicate with the first device and the second device to receive the acquired input signals therefrom.

Fig. 8 illustrates a block diagram of an electronic device 800 in accordance with an embodiment of the disclosure.

As shown in fig. 8, an electronic device 800 includes one or more processors 801 and memory 802.

The processor 801 may be a Central Processing Unit (CPU) or other form of processing unit having data processing capabilities and/or instruction execution capabilities, and may control other components in the electronic device 800 to perform desired functions.

Memory 802 may include one or more computer program products that may include various forms of computer-readable storage media, such as volatile memory and/or non-volatile memory. The volatile memory may include, for example, Random Access Memory (RAM), cache memory (cache), and/or the like. The non-volatile memory may include, for example, Read Only Memory (ROM), hard disk, flash memory, etc. One or more computer program instructions may be stored on the computer-readable storage medium and executed by the processor 801 to implement the image-based object management methods of the various embodiments of the present disclosure described above and/or other desired functions. Various contents such as an input signal, a signal component, a noise component, etc. may also be stored in the computer-readable storage medium.

In one example, the electronic device 800 may further include: an input device 803 and an output device 804, which are interconnected by a bus system and/or other form of connection mechanism (not shown).

For example, when the electronic device 800 is a first device or a second device, the input means 803 may be a microphone or a microphone array. When the electronic device 800 is a stand-alone device, the input means 803 may be a communication network connector for receiving the acquired input signals from the first device and the second device.

The input device 803 may also include, for example, a keyboard, a mouse, and the like.

The output device 804 may output various information to the outside. The output devices 804 may include, for example, a display, speakers, a printer, and a communication network and its connected remote output devices, among others.

Of course, for simplicity, only some of the components of the electronic device 800 relevant to the present disclosure are shown in fig. 8, omitting components such as buses, input/output interfaces, and the like. In addition, electronic device 800 may include any other suitable components depending on the particular application.

Exemplary computer program product and computer-readable storage Medium

In addition to the above-described methods and apparatus, embodiments of the present disclosure may also be a computer program product comprising computer program instructions that, when executed by a processor, cause the processor to perform the steps in the image-based object management method according to various embodiments of the present disclosure described in the "exemplary methods" section of this specification, supra.

The computer program product may write program code for carrying out operations for embodiments of the present disclosure in any combination of one or more programming languages, including an object oriented programming language such as Java, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device and partly on a remote computing device, or entirely on the remote computing device or server.

Furthermore, embodiments of the present disclosure may also be a computer-readable storage medium having stored thereon computer program instructions that, when executed by a processor, cause the processor to perform the steps in the image-based object management method according to various embodiments of the present disclosure described in the "exemplary methods" section above in this specification.

The computer-readable storage medium may take any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may include, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

The foregoing describes the general principles of the present disclosure in conjunction with specific embodiments, and it is noted that the advantages, effects, etc., presented in the present disclosure are merely exemplary and not limiting, and should not be considered essential to the various embodiments of the present disclosure. The foregoing disclosure of specific details is for purpose of illustration and description only and is not intended to be limiting, since the foregoing disclosure is not intended to be exhaustive or to be limited to the precise details set forth.

In the present specification, the embodiments are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same or similar parts in the embodiments are referred to each other. For the system embodiment, since it basically corresponds to the method embodiment, the description is relatively simple, and for the relevant points, reference may be made to the partial description of the method embodiment.

The block diagrams of devices, apparatuses, systems referred to in this disclosure are only given as illustrative examples and are not intended to require or imply that the connections, arrangements, configurations, etc. must be made in the manner shown in the block diagrams. These devices, apparatuses, devices, systems may be connected, arranged, configured in any manner, as will be appreciated by those skilled in the art. Words such as "including," "comprising," "having," and the like are open-ended words that mean "including, but not limited to," and are used interchangeably therewith. The words "or" and "as used herein mean, and are used interchangeably with, the word" and/or, "unless the context clearly dictates otherwise. The word "such as" is used herein to mean, and is used interchangeably with, the phrase "such as but not limited to".

The methods and apparatus of the present disclosure may be implemented in a number of ways. For example, the methods and apparatus of the present disclosure may be implemented by software, hardware, firmware, or any combination of software, hardware, and firmware. The above-described order for the steps of the method is for illustration only, and the steps of the method of the present disclosure are not limited to the order specifically described above unless specifically stated otherwise. Further, in some embodiments, the present disclosure may also be embodied as programs recorded in a recording medium, the programs including machine-readable instructions for implementing the methods according to the present disclosure. Thus, the present disclosure also covers a recording medium storing a program for executing the method according to the present disclosure.

It is also noted that in the devices, apparatuses, and methods of the present disclosure, each component or step can be decomposed and/or recombined. These decompositions and/or recombinations are to be considered equivalents of the present disclosure.

The previous description of the disclosed aspects is provided to enable any person skilled in the art to make or use the present disclosure. Various modifications to these aspects will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other aspects without departing from the scope of the disclosure. The present disclosure is not intended to be limited to the aspects shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

The foregoing description has been presented for purposes of illustration and description. Furthermore, this description is not intended to limit embodiments of the disclosure to the form disclosed herein. While a number of example aspects and embodiments have been discussed above, those of skill in the art will recognize certain variations, modifications, alterations, additions and sub-combinations thereof.

Claims

1. An image-based object management method, comprising:

2. The method of claim 1,

and/or the presence of a gas in the gas,

3. The method of claim 2, further comprising:

acquiring a worksite work image associated with a reference person;

4. The method of claim 3, wherein determining the human performance assessment label for the reference human comprises:

5. The method of claim 2, further comprising:

obtaining a site operation image associated with a reference finishing site;

6. The method according to claim 2, wherein the performing object management on the object to be evaluated according to the evaluation result comprises:

alternatively, the first and second electrodes may be,

7. The method according to claim 1, wherein the object to be evaluated comprises a person to be evaluated;

acquiring the personnel type of the personnel to be evaluated;

8. An image-based object management apparatus, comprising:

9. A computer-readable storage medium storing a computer program for executing the image-based object management method according to any one of claims 1 to 7.

10. An electronic device, comprising:

a processor;

a memory for storing the processor-executable instructions;

the processor is configured to read the executable instructions from the memory and execute the instructions to implement the image-based object management method of any one of claims 1 to 7.