Construction site personnel identity recognition management method and system

Abstract

The invention discloses a construction site personnel identity recognition management method and system, and the method comprises the steps: collecting the facial expression information of each construction site personnel, constructing a facial expression generation model based on the facial expression information, and generating facial expressions according to the facial expression generation model; binding facial expressions of the construction site personnel with the identity information two-dimensional code, and performing associated storage; obtaining an identity information two-dimensional code and a real-time facial expression of the construction site personnel, and obtaining a corresponding facial generation expression based on the identity information two-dimensional code; analyzing the real-time facial expressions and the facial generated expressions, determining facial expression difference features, and evaluating the identity similarity of the construction site personnel based on the facial expression difference features; and judging whether the identity recognition verification of the construction site personnel is passed based on the evaluation result. According to the method, the facial expressions of the construction site personnel are generated through modeling, the facial expressions are compared with the captured facial expressions and evaluated, so that the identities of the construction site personnel are accurately recognized and managed, and the accuracy and efficiency of identity recognition are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of personnel management, and particularly to a method and system for identifying and managing the identities of construction site personnel. Background Art

[0002] In modern construction site management, accurately identifying and managing the identities of construction site personnel is crucial. However, traditional identity identification methods usually rely on manual verification, which has problems such as low efficiency and easy errors. With the development and application of artificial intelligence technology, a method for identifying and managing the identities of construction site personnel based on facial recognition has gradually received attention.

[0003] The method for identifying and managing the identities of construction site personnel based on facial recognition uses computer vision and artificial intelligence technologies. By capturing the facial feature information of construction site personnel and comparing them, it realizes the accurate identification and management of the identities of construction site personnel. This method can improve the accuracy and efficiency of identity identification, reduce human errors, and also contribute to the automation and intelligence of construction site safety management, attendance management, etc. Summary of the Invention

[0004] To solve the above technical problems, the present invention provides a method and system for identifying and managing the identities of construction site personnel, including:

[0005] Collect the facial expression information of each construction site personnel, and determine the facial expression features of the construction site personnel based on the facial expression information;

[0006] Construct a facial expression generation model for the construction site personnel according to the facial expression features, and generate the facial generated expressions of each construction site personnel according to the facial expression generation model;

[0007] Bind the facial generated expressions of each construction site personnel with the identity information QR code, and store the bound facial generated expressions and identity information QR code in association;

[0008] Obtain the identity information QR code and real-time facial expression of the construction site personnel, and obtain the facial generated expression of the corresponding construction site personnel based on the identity information QR code;

[0009] Analyze the real-time facial expression and the facial generated expression to determine the facial expression difference features;

[0010] Evaluate the identity similarity of the construction site personnel based on the facial expression difference features to obtain an identity similarity evaluation value;

[0011] Judge whether the identity identification verification of the construction site personnel passes based on the identity similarity evaluation value.

[0012] Further, collecting the facial expression information of each construction site worker and determining the facial expression features of the construction site worker based on the facial expression information includes:

[0013] Collecting the facial expression information of each construction site worker and extracting the facial muscle shape, eye shape, mouth shape, and nose shape from the facial expression information;

[0014] Determining the facial muscle shape, eye shape, mouth shape, and nose shape as the facial expression features of the construction site worker.

[0015] Further, constructing a facial expression generation model for construction site workers according to the facial expression features and generating the facial generated expressions of each construction site worker according to the facial expression generation model includes:

[0016] Constructing an image set based on the facial expression features and inputting the image set into a preset image generation model to construct an initial facial expression generation model for construction site workers;

[0017] Dividing the image set into a training set and a test set according to a certain ratio and inputting the training set and the test set into the initial facial expression generation model of the construction site worker;

[0018] Training and testing the initial facial expression generation model of the construction site worker until the initial facial expression generation model of the construction site worker meets the preset convergence condition to obtain the facial expression generation model of the construction site worker;

[0019] Generating according to the facial expression generation model of the construction site worker to obtain a number of facial generated expressions of the construction site worker.

[0020] Further, analyzing the real-time facial expression and the facial generated expression to determine the facial expression difference features includes:

[0021] Obtaining the real-time facial expression of the construction site worker and recognizing the real-time facial expression to determine the facial expression state of the real-time facial expression;

[0022] Determining the facial generated expression corresponding to the facial expression state from a number of facial generated expressions of the construction site worker;

[0023] Performing transparency processing and scaling processing on the real-time facial expression and the corresponding facial generated expression, and overlapping and merging the processed real-time facial expression and the corresponding facial generated expression according to the facial contour into a synthetic facial expression;

[0024] Determining the inconsistent facial expression features from the synthetic facial expression and determining these inconsistent facial expression features as the facial expression difference features.

[0025] Further, the method for evaluating the identity similarity of construction site personnel based on facial expression difference features to obtain an identity similarity evaluation value includes:

[0026] Obtain facial expression difference features, and group the facial expression difference features according to the same facial expression features to obtain several groups of facial expression difference feature groups;

[0027] Calculate the similarity between the facial expression difference features in each group of facial expression difference feature groups, and evaluate the similarity to obtain the similarity evaluation value of each group of facial expression difference feature groups;

[0028] Obtain the facial expression state corresponding to each group of facial expression difference feature groups, and determine the weight of each group of facial expression difference feature groups based on the facial expression state;

[0029] Perform weighted addition calculation on the similarity evaluation value of each group of facial expression difference feature groups and the corresponding weight to obtain the identity similarity evaluation value of the construction site personnel.

[0030] Further, the method for determining the weight of each group of facial expression difference feature groups based on the facial expression state includes:

[0031] Preset the corresponding relationship between the weight value and the facial expression state type, and for each facial expression state type, a corresponding weight value is associated;

[0032] Determine the facial expression state corresponding to each group of facial expression difference feature groups, and select the weight value corresponding to the facial expression state type as the weight of each group of facial expression difference feature groups based on the mapping relationship of the facial expression state type in the corresponding relationship between the weight value and the facial expression state type.

[0033] Further, the method for determining whether the identity recognition verification of the construction site personnel passes based on the identity similarity evaluation value includes:

[0034] If the identity similarity evaluation value exceeds the preset threshold, it is determined that the identity recognition verification of the construction site personnel passes;

[0035] If the identity similarity evaluation value does not exceed the preset threshold, it is determined that the identity recognition verification of the construction site personnel fails.

[0036] The present invention also provides a construction site personnel identity recognition management system, including:

[0037] A collection module for collecting the facial expression information of each construction site personnel and determining the facial expression features of the construction site personnel based on the facial expression information;

[0038] A generation module, configured to construct a facial expression generation model for construction site personnel based on facial expression features, and generate facial generated expressions for each construction site personnel according to the facial expression generation model;

[0039] An association module, configured to bind the facial generated expression of each construction site personnel with the identity information QR code, and store the associated facial generated expression and identity information QR code;

[0040] An acquisition module, configured to acquire the identity information QR code and real-time facial expression of the construction site personnel, and acquire the facial generated expression of the corresponding construction site personnel based on the identity information QR code;

[0041] An analysis module, configured to analyze the real-time facial expression and the facial generated expression to determine the facial expression difference features;

[0042] An evaluation module, configured to evaluate the identity similarity of the construction site personnel based on the facial expression difference features to obtain an identity similarity evaluation value;

[0043] An identification module, configured to determine whether the identity identification verification of the construction site personnel passes based on the identity similarity evaluation value.

[0044] Compared with the prior art, the beneficial effects of the method and system for identifying and managing the identity of construction site personnel according to the embodiments of the present invention are as follows:

[0045] By collecting a large amount of facial expression data and constructing a facial expression generation model based on these data, the present invention can realize the generation of facial expressions of construction site personnel;

[0046] By evaluating the identity similarity of construction site personnel based on the facial expression difference features, the present invention can help judge the matching degree between the generated facial expression data and the actual identity, thereby improving the accuracy and efficiency of identity identification and reducing human errors;

[0047] By analyzing the real-time facial expression and the generated expression and combining the identity information for verification, the present invention can realize the automatic identity identification and verification of construction site personnel, saving labor and time costs. Description of the Drawings

[0048] Figure 1 is a schematic flow chart of the method for identifying and managing the identity of construction site personnel according to the embodiments of the present invention;

[0049] Figure 2 is a schematic diagram of the composition of the system for identifying and managing the identity of construction site personnel according to the embodiments of the present invention. Detailed Embodiments

[0050] The specific implementation manners of the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following embodiments are used to illustrate the present invention, but are not used to limit the scope of the present invention.

[0051] In the description of the present application, it should be understood that the orientation or positional relationship indicated by the terms "center", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc. is based on the orientation or positional relationship shown in the accompanying drawings. It is only for the convenience of describing the present application and simplifying the description, rather than indicating or implying that the platform or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be construed as a limitation to the present application.

[0052] The terms "first", "second" are only used for descriptive purposes and cannot be construed as indicating or implying relative importance or implicitly indicating the weight value of the indicated technical features. Thus, the features defined with "first", "second" may explicitly or implicitly include one or more of such features. In the description of the present application, unless otherwise specified, the meaning of "a plurality" is two or more.

[0053] In the description of the present application, it should be noted that unless otherwise clearly specified and defined, the terms "installed", "connected", "connected" should be understood in a broad sense. For example, it may be a fixed connection, a detachable connection, or an integral connection; it may be a thermal connection, or an electrical connection; it may be directly connected, or indirectly connected through an intermediate medium, and it may be the communication inside two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present application can be understood according to specific situations.

[0054] As Figure 1 shown, in the embodiment of the present application, a method for identifying and managing the identities of construction site personnel is provided, including: S100: Collect the facial expression information of each construction site personnel, and determine the facial expression features of the construction site personnel based on the facial expression information; S200: Construct a facial expression generation model of the construction site personnel according to the facial expression features, and generate the facial generated expressions of each construction site personnel according to the facial expression generation model; S300: Bind the facial generated expressions of each construction site personnel with the identity information two-dimensional code, and store the bound facial generated expressions and the identity information two-dimensional code in association; S400: Obtain the identity information two-dimensional code and the real-time facial expression of the construction site personnel, and obtain the facial generated expression of the corresponding construction site personnel based on the identity information two-dimensional code; S500: Analyze the real-time facial expression and the facial generated expression to determine the facial expression difference features; S600: Evaluate the identity similarity of the construction site personnel based on the facial expression difference features to obtain an identity similarity evaluation value; S700: Judge whether the identity recognition and verification of the construction site personnel pass based on the identity similarity evaluation value.

[0055] Furthermore, by collecting a large amount of facial expression data and constructing a facial expression generation model based on this data, the present invention can generate facial expressions of construction site personnel; by evaluating the identity similarity of construction site personnel based on the differential features of facial expressions, the present invention can help determine the matching degree between the generated facial expression data and the actual identity, thereby improving the accuracy and efficiency of identity recognition and reducing human errors; by analyzing the real-time facial expression and the generated expression and combining the identity information for verification, the present invention can realize the automatic identification and verification of the identity of construction site personnel, saving labor and time costs.

[0056] In an embodiment of the present application, a method for identifying and managing the identity of construction site personnel is provided. The method includes collecting the facial expression information of each construction site personnel and determining the facial expression characteristics of the construction site personnel based on the facial expression information, including: collecting the facial expression information of each construction site personnel, and extracting the facial muscle shape, eye shape, mouth shape, and nose shape from the facial expression information; determining the facial muscle shape, eye shape, mouth shape, and nose shape as the facial expression characteristics of the construction site personnel.

[0057] Specifically, a camera or other facial recognition device is used to capture the facial expressions of construction site personnel in real time, which can be static pictures or video streams; a facial expression recognition algorithm is used to analyze and process the collected facial expression data, and features such as facial muscle shape, eye shape, mouth shape, and nose shape are extracted; the extracted facial muscle shape, eye shape, mouth shape, and nose shape are determined as the facial expression characteristics of the construction site personnel.

[0058] In an embodiment of the present application, a method for identifying and managing the identity of construction site personnel is provided. The method includes constructing a facial expression generation model of construction site personnel based on the facial expression characteristics and generating the facial generated expressions of each construction site personnel according to the facial expression generation model, including: constructing an image set based on the facial expression characteristics and inputting the image set into a preset image generation model to construct an initial facial expression generation model of construction site personnel; dividing the image set into a training set and a test set according to a certain ratio and inputting the training set and the test set into the initial facial expression generation model of construction site personnel; training and testing the initial facial expression generation model of construction site personnel until the initial facial expression generation model of construction site personnel meets the preset convergence condition to obtain the facial expression generation model of construction site personnel; generating according to the facial expression generation model of construction site personnel to obtain a plurality of facial generated expressions of construction site personnel.

[0059] Specifically, according to the extracted facial expression features, an image dataset containing the facial expression features of construction site personnel is constructed. Each image should include corresponding feature information such as the shape of facial muscles, eye shape, mouth shape, and nose shape; select a preset image generation model suitable for the facial expression generation task, such as a model based on a generative adversarial network (GAN) or a variational autoencoder (VAE), etc.; divide the constructed facial expression feature image set into a training set and a test set according to a certain ratio. Usually, 70% of the data is used as the training set and 30% of the data is used as the test set; input the training set and the test set into the selected preset image generation model for model training and testing. During the training process, the model gradually improves its ability to generate realistic facial expression images by learning the input facial expression feature image set, and the test process is used to evaluate the performance and generalization ability of the model; conduct multiple rounds of training and parameter tuning on the facial expression generation model of construction site personnel until the preset convergence conditions and performance indicators are met; once the trained model reaches the expected performance, the model can be used to generate the facial expressions of construction site personnel to obtain several realistic facial generated expressions.

[0060] In an embodiment of the present application, a method for identifying and managing the identities of construction site personnel is provided. The analysis of the real-time facial expression and the facial generated expression to determine the facial expression difference features includes: obtaining the real-time facial expression of the construction site personnel and identifying the real-time facial expression to determine the facial expression state of the real-time facial expression; determining the facial generated expression corresponding to the facial expression state from several facial generated expressions of the construction site personnel; performing transparency processing and scaling processing on the real-time facial expression and the corresponding facial generated expression, and overlapping and merging the processed real-time facial expression and the corresponding facial generated expression according to the facial contour to form a synthetic facial expression; determining the inconsistent facial expression features from the synthetic facial expression, and determining these inconsistent facial expression features as the facial expression difference features.

[0061] Specifically, use a facial expression recognition algorithm to identify the real-time facial expression and determine the facial expression state of the real-time facial expression, such as happy, angry, surprised, etc.; determine the facial generated expression corresponding to the facial expression state from several previously generated facial generated expressions, and find the generated expression that best matches the real-time facial expression; perform transparency processing and scaling processing on the real-time facial expression and the corresponding facial generated expression for subsequent synthesis processing; overlap and merge the processed real-time facial expression and the corresponding facial generated expression according to the facial contour to form a synthetic facial expression; determine the inconsistent facial expression features from the synthetic facial expression, such as the differences between the real-time facial expression and the generated expression, including inconsistencies in eye expressions, mouth expressions, facial muscle movements, etc.

[0062] In an embodiment of the present application, a method for identifying and managing the identities of construction site personnel is provided. The method evaluates the identity similarity of construction site personnel based on facial expression difference features to obtain an identity similarity evaluation value, including: obtaining facial expression difference features, grouping the facial expression difference features according to the same facial expression features to obtain several groups of facial expression difference feature groups; calculating the similarity between the facial expression difference features in each group of facial expression difference feature groups, and evaluating the similarity to obtain the similarity evaluation value of each group of facial expression difference feature groups; obtaining the facial expression state corresponding to each group of facial expression difference feature groups, and determining the weight of each group of facial expression difference feature groups based on the facial expression state; performing a weighted summation calculation on the similarity evaluation value of each group of facial expression difference feature groups and the corresponding weight to obtain the identity similarity evaluation value of the construction site personnel.

[0063] Specifically, obtain the difference features between different facial expressions, such as differences in eye expressions, mouth expressions, facial muscle movements, etc.; group the facial expression difference features according to the same facial expression features to obtain several groups of facial expression difference feature groups. For example, group all the difference features of eye expressions into one group, group all the difference features of mouth expressions into one group, and so on; calculate the similarity between the facial expression difference features in each group of facial expression difference feature groups, and various similarity measurement methods can be used, such as Euclidean distance, cosine similarity, etc.; evaluate the similarity of each group of facial expression difference feature groups to determine the similarity evaluation value of each group of facial expression difference feature groups; determine the weight of each group of facial expression difference feature groups according to the facial expression state; perform a weighted summation calculation on the similarity evaluation value of each group of facial expression difference feature groups and the corresponding weight to obtain the identity similarity evaluation value of the construction site personnel, and this value can be used to evaluate the similarity of facial expression features between different construction site personnel.

[0064] In an embodiment of the present application, a method for identifying and managing the identities of construction site personnel is provided. The method determines the weight of each group of facial expression difference feature groups based on the facial expression state, including: presetting a weight value - facial expression state type correspondence relationship, and for each facial expression state type in the weight value - facial expression state type correspondence relationship, a corresponding weight value is associated; determining the facial expression state corresponding to each group of facial expression difference feature groups, and based on the mapping relationship of the facial expression state type to which the facial expression state belongs in the weight value - facial expression state type correspondence relationship, selecting the weight value corresponding to the facial expression state type as the weight of each group of facial expression difference feature groups.

[0065] Specifically, for each group of facial expression difference feature groups, determine their corresponding facial expression state types, such as happy, angry, surprised, etc.; according to the mapping relationship within the weight value - facial expression state type correspondence, select the weight value corresponding to the facial expression state type as the weight of each group of facial expression difference feature groups. This mapping relationship can be a pre-set mapping table, and the corresponding weight value is found according to the facial expression state type; according to the mapping relationship, determine the corresponding weight value for each group of facial expression difference feature groups.

[0066] In an embodiment of the present application, a method for identifying and managing the identities of construction site personnel is provided. Based on the identity similarity evaluation value, it is determined whether the identity verification of the construction site personnel passes, including: if the identity similarity evaluation value exceeds the preset threshold, it is determined that the identity verification of the construction site personnel passes; if the identity similarity evaluation value does not exceed the preset threshold, it is determined that the identity verification of the construction site personnel fails.

[0067] Specifically, if the calculated identity similarity evaluation value exceeds the preset threshold, it is determined that the identity verification of the construction site personnel passes; otherwise, it is determined that the identity verification of the construction site personnel fails. By setting an appropriate threshold in this process, the identity of the construction site personnel can be effectively verified. An identity similarity evaluation value exceeding the threshold indicates that the facial expression features of the construction site personnel are highly similar to the preset features, thus passing the identity verification.

[0068] As Figure 2 shown, in an embodiment of the present application, a system for identifying and managing the identities of construction site personnel is provided, including: a collection module for collecting the facial expression information of each construction site personnel and determining the facial expression features of the construction site personnel based on the facial expression information; a generation module for constructing a facial expression generation model of the construction site personnel according to the facial expression features and generating a facial generated expression for each construction site personnel according to the facial expression generation model; an association module for binding the facial generated expression of each construction site personnel with the identity information two-dimensional code and storing the associated facial generated expression and identity information two-dimensional code; an acquisition module for acquiring the identity information two-dimensional code and the real-time facial expression of the construction site personnel and acquiring the facial generated expression of the corresponding construction site personnel based on the identity information two-dimensional code; an analysis module for analyzing the real-time facial expression and the facial generated expression to determine the facial expression difference features; an evaluation module for evaluating the identity similarity of the construction site personnel based on the facial expression difference features to obtain an identity similarity evaluation value; and an identification module for determining whether the identity verification of the construction site personnel passes based on the identity similarity evaluation value.

[0069] In summary, the embodiments of the present invention provide a method and system for identifying and managing the identities of construction site personnel, which include: collecting the facial expression information of each construction site personnel, constructing a facial expression generation model based on the facial expression information, and generating a facial generated expression according to the model; binding the facial generated expression of the construction site personnel with the identity information QR code and storing them in an associated manner; obtaining the identity information QR code and the real-time facial expression of the construction site personnel, and obtaining the corresponding facial generated expression based on the identity information QR code; analyzing the real-time facial expression and the facial generated expression to determine the facial expression difference features, and evaluating the identity similarity of the construction site personnel based on the features; and judging whether the identity recognition and verification of the construction site personnel pass based on the evaluation result. The present invention accurately identifies and manages the identities of construction site personnel by modeling and generating the facial expressions of the construction site personnel, comparing and evaluating them with the captured facial expressions, thereby improving the accuracy and efficiency of identity recognition.

[0070] Finally, it should be noted that: Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalent technologies, the present invention is also intended to include these changes and modifications.

[0071] The above is only one embodiment of the present invention, but it cannot be used to limit the scope of the present invention. Any structural changes made based on the present invention, as long as they do not deviate from the essence of the present invention, should be regarded as falling within the protection scope of the present invention and being restricted. Those skilled in the art can clearly understand that for the convenience and brevity of description, the specific working processes and related descriptions of the above-described platform can refer to the corresponding processes in the foregoing platform embodiments, and will not be repeated here.

[0072] The term "including" or any other similar term is intended to cover non-exclusive inclusion, so that a process, platform, article, or device / platform including a series of elements not only includes those elements, but also includes other elements not explicitly listed, or also includes the elements inherent in these processes, platforms, articles, or devices / platforms.

[0073] So far, the technical solutions of the present invention have been described in combination with the further embodiments shown in the drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will all fall within the protection scope of the present invention.

[0074] The above is only the preferred embodiment of the present invention, and is not used to limit the protection scope of the present invention.

Claims

1. A method for identifying and managing construction site personnel, characterized in that: include: Collecting facial expression information of each construction site worker, and determining facial expression features of the construction site worker based on the facial expression information; A facial expression generation model of construction site personnel is constructed according to facial expression features, and a facial expression generation model of each construction site personnel is generated according to the facial expression generation model; Binding the facial expression generated by each construction site worker to the identity information QR code, and storing the bound facial expression generated and identity information QR code in association; Obtain the identity information QR code and real-time facial expression of the construction site personnel, and obtain the facial expression of the corresponding construction site personnel based on the identity information QR code; Analyze real-time facial expressions and facial generated expressions to determine the difference characteristics of facial expressions; The identity similarity of the construction site personnel is evaluated based on the facial expression difference characteristics to obtain the identity similarity evaluation value; Whether the identity verification of the construction site personnel has passed is determined based on the identity similarity evaluation value.

2. A construction site personnel identification management method according to claim condition 1, characterized in that: The collecting of facial expression information of each construction site worker and determining the facial expression features of the construction site worker based on the facial expression information includes: Collect the facial expression information of each construction site worker, and extract the facial muscle shape, eye shape, mouth shape and nose shape from the facial expression information; Facial muscle shape, eye shape, mouth shape and nose shape are identified as facial expression features of construction site personnel.

3. A construction site personnel identification management method according to claim condition 2, characterized in that: The method of constructing a facial expression generation model of construction site personnel according to facial expression features, and generating facial generated expressions of each construction site personnel according to the facial expression generation model, comprises: An image set is constructed based on facial expression features, and the image set is input into a preset image generation model to construct an initial model for generating facial expressions of construction site personnel; The image set is divided into a training set and a test set according to a certain ratio, and the training set and the test set are input into the initial model for generating facial expressions of construction site personnel; Training and testing the initial model for generating facial expressions of construction site personnel until the initial model for generating facial expressions of construction site personnel meets a preset convergence condition, thereby obtaining the facial expression generation model for construction site personnel; The facial expression generation model of the construction site personnel is used to generate a plurality of facial generated expressions of the construction site personnel, thereby obtaining a plurality of facial generated expressions of the construction site personnel.

4. A construction site personnel identification management method according to claim condition 3, characterized in that: The analyzing of the real-time facial expression and the generated facial expression to determine the difference characteristics of the facial expression includes: Acquire the real-time facial expressions of the construction site personnel, recognize the real-time facial expressions, and determine the facial expression states of the real-time facial expressions; determining a facial generated expression corresponding to a facial expression state from a plurality of facial generated expressions of a construction site worker; The real-time facial expression and the corresponding facial generated expression are transparently processed and scaled, and the processed real-time facial expression and the corresponding facial generated expression are overlapped and merged into a synthetic facial expression according to the facial contour; Inconsistent facial expression features are determined from the synthetic facial expressions, and the inconsistent facial expression features are determined as facial expression difference features.

5. A method for identifying and managing construction site personnel according to claim 4, characterized in that: The identity similarity of the construction site personnel is evaluated based on the facial expression difference features to obtain the identity similarity evaluation value, including: Acquire facial expression difference features, and group the facial expression difference features according to the same facial expression features to obtain a plurality of facial expression difference feature groups; Calculating the similarity between the facial expression difference features in each facial expression difference feature group, and evaluating the similarity to obtain a similarity evaluation value for each facial expression difference feature group; Obtaining the facial expression state corresponding to each group of facial expression difference feature groups, and determining the weight of each group of facial expression difference feature groups based on the facial expression state; The similarity evaluation value of each group of facial expression difference feature groups is weightedly added to the corresponding weight to obtain the identity similarity evaluation value of the construction site personnel.

6. A method for identifying and managing construction site personnel according to claim 5, characterized in that: The step of determining the weight of each group of facial expression difference feature groups based on the facial expression state comprises: Presetting a correspondence between a weight value and a facial expression state type, wherein each facial expression state type is associated with a corresponding weight value; The facial expression state corresponding to each group of facial expression difference feature groups is determined, and based on the mapping relationship between the facial expression state type to which the facial expression state belongs within the weight value-facial expression state type correspondence relationship, the weight value corresponding to the facial expression state type is selected as the weight of each group of facial expression difference feature groups.

7. A method for identifying and managing construction site personnel according to claim 6, characterized in that: The determining whether the identity verification of the construction site personnel is passed based on the identity similarity evaluation value includes: If the identity similarity evaluation value exceeds the preset threshold, it is determined that the identity verification of the construction site personnel has passed; If the identity similarity evaluation value does not exceed the preset threshold, it is determined that the identity verification of the construction site personnel has failed.

8. A construction site personnel identification management system, characterized in that: include: A collection module, used to collect facial expression information of each construction site worker and determine the facial expression characteristics of the construction site worker based on the facial expression information; A generation module, used to construct a facial expression generation model of construction site personnel according to facial expression features, and generate facial generated expressions of each construction site personnel according to the facial expression generation model; An association module is used to bind the facial expression generated by each construction site personnel with the identity information QR code, and associate and store the bound facial expression generated and identity information QR code; An acquisition module is used to acquire the identity information QR code and real-time facial expression of the construction site personnel, and acquire the facial expression generated by the corresponding construction site personnel based on the identity information QR code; An analysis module is used to analyze real-time facial expressions and facial generated expressions to determine the difference characteristics of facial expressions; An evaluation module is used to evaluate the identity similarity of the construction site personnel based on the facial expression difference characteristics to obtain an identity similarity evaluation value; The identification module is used to determine whether the identity verification of the construction site personnel has passed based on the identity similarity evaluation value.

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