Remote signature method and system, storage medium and computer equipment

By combining the remote signature system of the remote monitoring module and the rewrite module, using the camera for identity verification and signature capture, and signature copying according to the handwriting parameters, the existing remote signature system is solved, and efficient and secure remote signature is achieved.

CN119516622APending Publication Date: 2025-02-25XINJIANG NORMAL UNIVERSITY
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Patent Information

Application Number
CN202411387017.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-09-30
Publication Date
2025-02-25

AI Technical Summary

Technical Problem

The existing remote signature system is inefficient and is prone to forgery and tampering.

Method used

A combined system of remote monitoring module and rewriting module is adopted to authenticate the signature by taking the first camera, and the second camera takes the signature and extracts the handwriting parameters. The rewriting module signs and rewrites according to the signed image and handwriting parameters.

Benefits of technology

It significantly improves the security and efficiency of remote signatures, reduces the risk of signatures being forged or tampered, and makes the effect of remote signatures and on-site signatures almost no difference.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention relates to a remote signature method and system, a storage medium and computer equipment, and the method comprises the steps: photographing the face of a signer through a first camera, obtaining a face image, photographing the signature of the signer through a second camera, and obtaining a signature image and handwriting parameters; performing identity verification on the signer according to the face image, and judging whether the signer is a specified signer or not; and if yes, copying the signature of the signer through the copying module according to the signature image and the handwriting parameter. According to the invention, remote transmission and rewriting of the signature are realized, the risk that the signature is counterfeited or counterfeited is reduced, and the authenticity of the signature process is ensured.
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Description

Technical Field

[0001] The present invention relates to the field of intelligent office equipment, and in particular to a remote signing method, system, storage medium and computer equipment. Background Art

[0002] With the rapid development of information technology and the strengthening of the trend of global office, remote work has become an indispensable way of working for modern enterprises and individuals. In a remote working environment, signatures are an important part of legal and commercial transactions, and their security and authenticity are particularly important. Traditional signature methods mainly rely on physical document mailing or scanned transmission, which is not only inefficient, but also has the risk of being forged or tampered with.

[0003] In order to meet this challenge, a variety of remote signature systems have gradually emerged in the market. Most of these systems use electronic signature technology to ensure the security and non-tamperability of signatures through digital certificates, timestamps and other means. However, although these systems have improved the convenience and security of signatures to a certain extent, this information can be easily stolen or copied, and there is still a risk of signatures being forged or tampered with. Summary of the invention

[0004] The main purpose of the present invention is to provide a remote signing method, system, storage medium and computer equipment to solve the problems of low efficiency and easy forgery and tampering of remote signing in the prior art.

[0005] To achieve the above object, the first aspect of the present invention provides a remote signing method, which is applied to a remote signing system. The remote signing system includes a remote monitoring module, a copy module and a control module. The remote monitoring module includes a first camera and a second camera. The remote monitoring module is located at the signatory, and the copy module is located at the signature. The signatory and the signature are not located at the same location. The remote signing method is executed by the control module, and the method includes: photographing the face of the signatory through the first camera to obtain a facial image, and photographing the signature of the signatory through the second camera to obtain a signature image and handwriting parameters; Perform identity authentication on the signatory based on the facial image to determine whether the signatory is a designated signatory; If so, the signature of the signatory is copied according to the signature image and the handwriting parameters by the copy module.

[0006] Furthermore, before the step of copying the signature of the signatory according to the signature image and the handwriting parameters by the copy module, the step further includes: Comparing the handwriting in the signature image with the pre-stored handwriting of the designated signer to determine whether the handwriting in the signature image is the authentic handwriting of the designated signer; If so, the signature of the signatory is copied according to the signature image and the handwriting parameters by the copy module.

[0007] Furthermore, the step of photographing the signature of the signatory through the second camera to obtain the signature image and handwriting parameters includes: Determining whether the signatory has completed the signature; If yes, then obtaining a signature image of the signatory after the signatory completes the signature; Performing image analysis on the signature image to identify the handwriting of the signatory; The handwriting of the signer is analyzed to obtain handwriting parameters, wherein the handwriting parameters include at least one of a stroke speed, a stroke force, and a stroke direction.

[0008] Furthermore, the step of photographing the signature of the signatory through the second camera to obtain a signature image includes: identifying the pen tip from the field of view of the second camera; Acquire the motion trajectory of the pen tip and the handwriting parameters during the motion of the pen tip in real time, wherein the handwriting parameters include at least one of the stroke speed, stroke force and stroke direction; Determining whether the signatory has completed the signature; If yes, then obtain the signature image of the signatory after completing the signature.

[0009] Furthermore, the copy module includes a fixed arm, a mechanical arm, a signature pen and a signature panel, one end of the fixed arm is fixed on the mounting table, one end of the mechanical arm is movably connected to the other end of the fixed arm, the other end of the mechanical arm is equipped with the signature pen, and the signature pen is arranged above the signature panel. The step of duplicating the signature of the signatory according to the signature image and the handwriting parameters by the duplication module comprises: The mechanical arm is controlled to move according to the handwriting in the signature image and the handwriting parameters, so as to drive the signature pen to complete the copy of the signer's handwriting on the signature panel.

[0010] Further, the remote monitoring module includes a foldable support, the foldable support includes a first support arm and a second support arm, one end of the first support arm is rotatably connected to one end of the second support arm, the first camera is arranged on the first support arm, and the second camera is arranged on the second support arm; Before the steps of photographing the face of the signatory through the first camera to obtain a face image, and photographing the signature of the signatory through the second camera to obtain a signature image, the method further includes: Determining whether there is a face image within the field of view of the first camera; If not, adjusting the position of the first camera or issuing a first adjustment voice reminder until a complete face image exists within the field of view of the first camera; and determining whether there is a feature object image in the field of view of the second camera, the feature object comprising at least one of a pen tip and a finger; If not, the position of the second camera is adjusted or a second adjustment voice reminder is issued until the feature object image exists in the field of view of the second camera.

[0011] Furthermore, the first camera is a wide-angle night vision camera; and the second camera is a high-resolution camera.

[0012] A second aspect of the present invention provides a remote signature system, the system comprising a remote monitoring module and a copy module, the remote monitoring module comprising a first camera and a second camera, the remote monitoring module is located at the signatory, the copy module is located at the signature location, the signatory location and the signature location are not located at the same location, The first camera is used to capture the face of the signatory to obtain a facial image; The second camera is used to capture the signature of the signatory to obtain a signature image; The copy module is used to copy the signature of the signatory according to the signature image and the handwriting parameters; The control module is used to control the first camera to capture the face of the signatory to obtain a facial image, and to control the second camera to capture the signature of the signatory to obtain a signature image and handwriting parameters; to authenticate the signatory based on the facial image to determine whether the signatory is a designated signatory; and if so, to control the copy module to copy the signatory's signature based on the signature image and the handwriting parameters.

[0013] A third aspect of the present invention provides a computer device, comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the above-mentioned remote signing method when executing the computer program.

[0014] A fourth aspect of the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program implements the steps of the above-mentioned remote signing method when executed by a processor.

[0015] The remote signing method, system, storage medium and computer device provided by the present invention are characterized in that the method uses a first camera to capture the face of the signer in real time, obtains a high-definition face image, and combines image recognition and comparison technology to authenticate the identity of the signer. At the same time, the second camera records the entire signing process, including the signature formation process and handwriting parameters. This dual monitoring mechanism greatly reduces the risk of signature forgery or counterfeiting, and ensures the authenticity of the signing process. At the same time, the method of the present invention allows the signer and the signature site to be in different positions, realizes cross-regional remote signing, saves the signer's time and transportation costs, and improves office efficiency. Using a copy module, according to the signature image and handwriting parameters, a high-precision signature copy can be performed at the signature site, which not only retains the original features of the signature, but also ensures the authenticity and legal effect of the signature, so that the remote signature and the on-site signature are almost the same in effect. The entire signing process does not require complicated operations. The signer only needs to complete the signing action in front of the remote monitoring module to realize the remote transmission and copying of the signature, which enhances the user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 is a flowchart of a remote signing method in one embodiment of the present invention; Figure 2 is a schematic diagram of the structure of a replication module in one embodiment of the present invention; Figure 3 is a schematic diagram of the structure of a remote monitoring module in one embodiment of the present invention; Figure 4 It is a schematic block diagram of the structure of a computer device according to an embodiment of the present invention.

[0017] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0018] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0019] Reference Figure 1 The embodiment of the present invention provides a remote signature method, which is applied to a remote signature system. The remote signature system includes a remote monitoring module, a copy module and a control module. The remote monitoring module includes a first camera and a second camera. The remote monitoring module is located at the signatory, and the copy module is located at the signature. The signatory and the signature are not located at the same location. The remote signature method is executed by the control module. The method includes: S1, photographing the face of the signatory through the first camera to obtain a facial image, and photographing the signature of the signatory through the second camera to obtain a signature image and handwriting parameters; S2, performing identity authentication on the signatory according to the facial image to determine whether the signatory is a designated signatory; S3. If yes, the signature of the signatory is copied by the copy module according to the signature image and the handwriting parameters.

[0020] In this embodiment, the remote signature system is composed of a remote monitoring module, a copy module and a control module. The remote monitoring module includes a first camera and a second camera, both of which are located at the signatory. The first camera is used to capture the signatory's face and obtain a high-definition face image; the second camera focuses on capturing the signatory's signing process to obtain the signature image and handwriting parameters (such as stroke speed, stroke strength, stroke direction, etc.).

[0021] The copy module is located at the signature location, that is, the actual location of the document to be signed. The module can accurately copy the signatory's signature based on the received signature image and handwriting parameters.

[0022] The control module is responsible for coordinating data transmission and processing between modules and executing each step of the remote signature method.

[0023] In the above step S1, when there is a need for remote signing, the control module starts the first camera and the second camera in the remote monitoring module. The first camera captures the face of the signer and generates a high-definition face image; the second camera captures the signing process of the signer, generates a signature image and extracts handwriting parameters. These images and parameters are transmitted to the control module through the network for subsequent processing.

[0024] The face image is the signer's face image captured by a camera and is used for identity verification.

[0025] The signature image is a video frame or a static image of the signatory's signing process, recording the appearance of the signature.

[0026] The handwriting parameters describe the movement characteristics of the pen during the signing process, such as stroke speed, stroke force, stroke direction, etc., and are used to simulate the signature style when copying.

[0027] In the above step S2, the control module uses face recognition technology (such as deep learning algorithm) to compare the face image received from the first camera with the preset designated signer face database. If the comparison result meets the preset similarity threshold, it is judged as the designated signer and the identity verification is passed; otherwise, the identity verification fails and the signing process is terminated. The face recognition technology can adopt the method in the prior art. For example, feature points in the face image can be extracted through image recognition, and compared with the features in the known face database to achieve identity recognition.

[0028] In the above step S3, if the identity verification is passed, the control module sends the signature image and handwriting parameters to the copy module. Based on this information, the copy module uses a mechanical arm or an electronic pen to accurately copy the signer's signature on the signed document. During the copying process, the handwriting parameters are simulated, such as adjusting the writing speed, applying corresponding pressure, simulating the stroke direction, etc., to restore the signer's original signature style as much as possible.

[0029] The method of this embodiment can realize remote signing without the signatory's personal presence, saving time and cost; verifying the signatory's identity through face recognition technology to ensure the authenticity of the signing behavior; copying the signature based on the signature image and handwriting parameters to keep the appearance and style of the signature consistent with the original signature, thereby improving the legal effect of the signature.

[0030] In a specific embodiment, before the step S3 of copying the signature of the signatory according to the signature image and the handwriting parameters by the copy module, the method further includes: S4, comparing the handwriting in the signature image with the pre-stored handwriting of the designated signer to determine whether the handwriting in the signature image is the authentic handwriting of the designated signer; If so, the signature of the signatory is copied by the copy module according to the signature image and the handwriting parameters S3.

[0031] In this embodiment, in the above step S4, before the signature is copied by the copy module, in order to ensure that the handwriting in the signature image is indeed from the designated signer, this step S4 is executed to perform handwriting comparison. The authenticity of the current signature is determined by comparing the handwriting in the signature image with the handwriting sample pre-stored by the designated signer.

[0032] Specifically, handwriting comparison can be performed in the following manner: first, the handwriting features in the signature image are extracted, including, for example, the thickness of the strokes, the degree of curvature, the way of connecting the strokes, etc.; then, the extracted handwriting features are compared and analyzed with the pre-stored handwriting samples of the designated signer. Specifically, the comparison and analysis can be achieved through image processing algorithms and machine learning technologies in the prior art; during the comparison process, the similarity or difference between the extracted handwriting features and the pre-stored handwriting samples of the designated signer is calculated; if the similarity exceeds a preset similarity threshold, it is determined that the handwriting comparison is successful, that is, the handwriting in the signature image is the real handwriting of the designated signer; otherwise, the comparison fails and may trigger a corresponding alarm or error handling mechanism.

[0033] After the handwriting comparison successfully confirms that the handwriting in the signature image is the real handwriting of the designated signer, the signature copying step S3 is continued. The control module sends the signature image and handwriting parameters to the copying module, and the copying module starts to perform the copying operation after receiving the signature image and handwriting parameters from the control module. By analyzing the handwriting parameters, the copying module can simulate the writing style and handwriting characteristics of the signer, control the writing speed, pressure change and other parameters, and thus copy a signature that is highly consistent with the original signature on the signed document stroke by stroke.

[0034] This embodiment further improves the security and reliability of the remote signature method by adding the handwriting comparison step. The signature duplication operation is performed only when the handwriting in the signature image is confirmed to be the authentic handwriting of the designated signer, thereby effectively preventing the risk of forgery or counterfeiting. The combined use of handwriting comparison and signature duplication technology not only retains the original features of the signature, but also ensures the authenticity and legal effect of the signature, making the effect of remote signature almost the same as that of on-site signature.

[0035] In a specific embodiment, the step S1 of photographing the signature of the signatory through the second camera to obtain the signature image and handwriting parameters includes: S101, determining whether the signatory has completed signing; S102: If yes, obtaining a signature image of the signatory after the signatory completes the signature; S103, performing image analysis on the signature image to identify the handwriting of the signatory; S104: Analyze the handwriting of the signer to obtain handwriting parameters, where the handwriting parameters include at least one of stroke speed, stroke strength and stroke direction.

[0036] In this embodiment, in the above step S101, the video stream captured by the second camera is first continuously monitored, and the motion detection or signature completion detection algorithm in the image processing technology is used to determine whether the signer has completed the signature. Specifically, the video frames can be continuously analyzed to detect whether the pen tip stops moving and remains unchanged for a certain period of time, thereby determining the end of the signature action. Specifically, a time threshold and / or motion threshold is set, and when the pen tip stops moving for more than the time threshold or the motion amplitude is lower than the motion threshold, the signature is considered to be completed. By analyzing the position change of the pen tip in the video frame and combining the timestamp information, the continuity and stability of the signature action can be determined.

[0037] The above motion detection algorithm can monitor the movement of the signer's hand to determine whether the signer is performing a signing action. For example, common motion detection algorithms include: Background difference method: First, a background model is established, and then the current frame is differentiated from the background model, and the motion area is detected through threshold judgment. During the signing process, the signer's hand movement will be significantly different from the background and thus be detected.

[0038] Frame difference method: Detect motion by comparing the differences between two or more consecutive frames. During the signing process, due to the rapid movement of the hand, there will be obvious differences between adjacent frames, and these differences can be used to detect motion.

[0039] Optical flow method: Detect motion by calculating the motion information of pixels or feature points in the image between consecutive frames. This method can more accurately describe the speed and direction of moving objects, but the calculation complexity is higher.

[0040] The above-mentioned signature completion detection algorithm is mainly used to determine whether the signer has completed the signature. It performs analysis and judgment based on motion detection and combined with the specific characteristics of the signature.

[0041] Exemplarily, it includes, judgment based on time threshold: setting a fixed time threshold, when it is detected that the hand movement stops exceeding the threshold, it is considered that the signature has been completed.

[0042] Analysis based on handwriting features: Determine whether the signature is complete by analyzing the handwriting features of the signature (such as the number of strokes, length, shape, etc.).

[0043] Confirmation combined with user interaction: When possible signature completion is detected, the completion of the signature is finally confirmed through user interaction (such as clicking a confirmation button).

[0044] In the above step S102, once it is confirmed that the signatory has completed the signature, an image frame containing the complete signature is intercepted from the video stream as a signature image. According to the judgment result of signature completion, the video frame containing the final signature state is automatically located. The signature area is extracted from the video frame using image cropping and compression technology to generate a signature image file.

[0045] In the above step S103, after acquiring the signature image, the signature image is analyzed to identify the handwriting of the signer. Specifically, edge detection algorithms, such as the Canny edge detector, are used to highlight the edge information in the signature image; contour extraction algorithms, such as the Hough transform or contour tracking algorithm, are used to extract the signature contour from the edge information; and the stroke recognition algorithm is used to decompose the contour into a series of strokes, thereby identifying the handwriting of the signer.

[0046] In the above step S104, after the handwriting of the signer is recognized, the handwriting is further analyzed to extract handwriting parameters. Specifically, the continuity, length, width and relationship between adjacent strokes of the strokes can be analyzed to calculate the stroke speed; the stroke strength can be estimated by analyzing the pixel intensity change of the stroke in the image or the data of the pressure sensor; the direction of the stroke is determined by the direction vector or gradient information. Finally, these handwriting parameters (such as stroke speed, stroke strength and stroke direction) are encoded and stored for use by the subsequent replication module.

[0047] This embodiment can accurately extract the handwriting features of the signer, ensuring the accuracy and integrity of the signature image and handwriting parameters.

[0048] In a specific embodiment, the step S1 of photographing the signature of the signatory through the second camera to obtain the signature image includes: S111, identifying a pen tip from the field of view of the second camera; S112, acquiring in real time the motion trajectory of the pen tip and the handwriting parameters during the motion of the pen tip, wherein the handwriting parameters include at least one of a stroke speed, a stroke force, and a stroke direction; S113, determining whether the signatory has completed signing; S114: If yes, obtain the signature image of the signatory after completing the signature.

[0049] In this embodiment, in the above step S111, the second camera is first started, and its focus, exposure and other parameters are adjusted to ensure that the image in the signature area can be clearly captured. Subsequently, the position of the pen tip is identified from the camera field of view using a feature recognition algorithm in image processing technology. For example, the recognition can be performed by color recognition (such as identifying ink or pen tip of a specific color), shape recognition (such as identifying a specific outline of the pen tip), or a combination of multiple features. Specifically, the position of the pen tip can be located in the video frame by methods such as color segmentation, edge detection or template matching.

[0050] In the above step S112, after the pen tip is identified, the motion trajectory of the pen tip is tracked in real time, and the handwriting parameters during the motion are recorded at the same time. Specifically, the motion trajectory can be calculated by continuously analyzing the position change of the pen tip in the video frame. At the same time, the handwriting parameters such as stroke speed, stroke force and stroke direction are estimated in real time by using image processing technology (such as pixel intensity analysis, edge gradient calculation, etc.) or combining the data of external sensors (such as pressure sensors). The above handwriting parameters are recorded and encoded in real time for use by the subsequent replication module.

[0051] In the above step S113, while tracking the movement of the pen tip, the signing process is continuously monitored to determine whether the signer has completed the signature. Specifically, the motion detection or signature completion detection algorithm in the image processing technology can be used to determine whether the signer has completed the signature. For example, the video frames can be continuously analyzed to detect whether the pen tip stops moving and remains unchanged for a certain period of time, thereby determining the end of the signing action. Specifically, a time threshold and / or motion threshold is set, and when the pen tip stops moving for more than the time threshold or the movement amplitude is lower than the motion threshold, the signature is considered to be completed. By analyzing the position change of the pen tip in the video frame and combining the timestamp information, the continuity and stability of the signature action can be determined. It is also possible to identify specific gestures, such as identifying the gesture of the user lifting the pen tip to determine that the signer has completed the signature.

[0052] In the above step S114, after confirming that the signer has completed the signature, an image frame containing the complete signature is intercepted from the video stream as the signature image. This is similar to step S102 and will not be described in detail here.

[0053] This embodiment can more accurately capture the signer's signing process by real-time identifying and tracking the pen tip from the field of view of the second camera, and obtain the motion trajectory and handwriting parameters of the pen tip in real time, providing richer and more accurate data support for subsequent signature duplication.

[0054] In a specific embodiment, referring to Figure 2The copy module includes a fixed arm 1, a mechanical arm 2, a signature pen 3 and a signature panel 4. One end of the fixed arm 1 is fixed on the installation table, one end of the mechanical arm 2 is movably connected to the other end of the fixed arm 1, and the other end of the mechanical arm 2 is installed with the signature pen 3, and the signature pen 3 is arranged above the signature panel 4. The step S3 of duplicating the signature of the signatory according to the signature image and the handwriting parameters by the duplication module comprises: S301, controlling the robot arm to move according to the handwriting in the signature image and the handwriting parameters, so as to drive the signature pen to complete the copy of the signer's handwriting on the signature panel.

[0055] In this embodiment, the copy module is composed of a fixed arm 1, a mechanical arm 2, a signature pen 3 and a signature panel 4, and each component works together to achieve the function of signature copying. The mechanical arm 2 has multi-axis motion capability and can drive the signature pen 3 to complete handwriting copying well.

[0056] The above step S301 is used to control the mechanical arm to perform signature copying. Before starting the copying, an initialization operation is first performed, including checking the status of the mechanical arm, the signature pen and the signature panel to ensure that they are in normal working condition. Then a calibration operation is performed to ensure that the relative position between the end of the mechanical arm (i.e., the signature pen) and the signature panel is accurate, which can be achieved through a preset calibration point or pattern.

[0057] Read and analyze the signature image to extract the handwriting information in the signature, including the shape, position, and order of the strokes; and analyze the handwriting parameters, such as stroke speed, stroke strength, and stroke direction, which will be used to guide the movement of the robotic arm.

[0058] Based on the signature image and handwriting parameters, the motion path that the robotic arm needs to follow is calculated, such as path planning, speed control, etc., to ensure that the robotic arm can accurately simulate the signer's writing process.

[0059] Send control instructions to the robot arm to drive it to move along the planned motion path. During the movement, the end of the robot arm (signature pen) draws the signature on the signature panel.

[0060] According to the handwriting parameters, the robot arm's movement speed, acceleration, and force parameters are adjusted in real time to match the handwriting in the signature image. For example, when the handwriting parameters indicate that the force needs to be increased, the driving force of the robot arm is increased; when the handwriting parameters indicate that the direction needs to be changed, the movement trajectory of the robot arm is adjusted accordingly.

[0061] When the robot arm has finished drawing all the strokes, the signature copying process ends. At this point, you can also automatically or manually verify whether the copied signature is consistent with the original signature image. If the copied signature meets the preset quality standards (such as the similarity threshold), it is considered to be copied successfully; otherwise, you may need to re-copy or adjust related parameters.

[0062] This embodiment controls the movement speed, strength, direction and other parameters of the robotic arm in real time through the coordinated work of the fixed arm, the robotic arm, the signature pen and the signature panel, and can accurately simulate the writing process of the signer and realize the remote replication of the signature.

[0063] In one embodiment, referring to Figure 3 , the remote monitoring module includes a foldable bracket, the foldable bracket includes a first arm 5 and a second arm 6, one end of the first arm 6 is rotatably connected to one end of the second arm 6, the first camera 7 is arranged on the first arm 5, and the second camera 8 is arranged on the second arm 6; Before the step S1 of photographing the face of the signatory by the first camera to obtain a face image, and photographing the signature of the signatory by the second camera to obtain a signature image, the step further includes: S6. Determine whether there is a face image in the field of view of the first camera; S7. If not, adjust the position of the first camera or issue a first adjustment voice reminder until a complete facial image exists within the field of view of the first camera; and S8. Determine whether there is a feature object image in the field of view of the second camera, where the feature object includes at least one of a pen tip and a finger; S9. If not, adjust the position of the second camera or issue a second adjustment voice reminder until the feature object image exists in the field of view of the second camera.

[0064] The remote monitoring module in this embodiment is designed with a foldable bracket, which consists of a first arm and a second arm, which can be flexibly unfolded and folded through a rotating connection mechanism. A first camera is fixedly installed on the first arm, which is specifically used to capture the facial information of the signer; a second camera is installed on the second arm to record the signing process of the signer. The remote monitoring module in this embodiment is not only easy to carry and store, but also can flexibly adjust the position of the camera in different scenarios to meet shooting needs.

[0065] In the above step S6, face detection is first performed by the first camera. The field of view of the first camera is analyzed by image processing technology to determine whether there is a face image. The above image processing technology includes, for example, the application of edge detection, skin color recognition and other algorithms in the prior art.

[0066] In the above step S7, if no face image is detected in the field of view of the first camera, the adjustment mechanism will be automatically triggered. For example, the first arm may be automatically rotated or tilted by a mechanical device, or the angle or position of the first camera may be automatically adjusted to align the first camera with the potential face position, or a first adjustment voice reminder may be issued to guide the user to manually adjust the position of the first camera or adjust the user's position until a complete and clear face image appears in the field of view.

[0067] In the above step S8, the field of view of the second camera is analyzed by image processing technology to determine whether there is a specific feature image, such as a pen tip or a finger. These features are indispensable elements in the signature process. The above image processing technology includes, for example, the application of algorithms such as feature comparison, edge detection, and skin color recognition in the prior art.

[0068] In the above step S9, if the feature object image is not detected in the field of view of the second camera, the adjustment mechanism is started. For example, it includes automatically adjusting the angle or position of the second arm, or automatically adjusting the angle or position of the second camera, so that the second camera is aimed at the feature object such as the pen tip or finger, or issuing a second adjustment voice reminder to guide the user to make corresponding adjustments. Until the required feature object image can be captured in the field of view of the second camera.

[0069] In this embodiment, the remote monitoring module can ensure that the facial information and signing movements of the signer are captured simultaneously during the signing process, thereby improving the security and reliability of remote signing and enhancing the user experience through an intelligent adjustment mechanism.

[0070] In one embodiment, the first camera is a wide-angle night vision camera; the second camera is a high-resolution camera.

[0071] In this embodiment, the wide-angle night vision camera has wide-angle characteristics and night vision functions. The wide-angle camera has a larger field of view and can capture a wider scene. During the remote signing process, this helps to ensure that the entire face of the signer is clearly presented, and a good shooting effect can be maintained even in a relatively large space. The night vision camera uses infrared rays to still shoot clearly in a dark environment. This function is particularly important for remote signing at night or in low-light scenes, as it can ensure that the facial features of the signer are accurately captured and are not affected by ambient light.

[0072] The high-resolution camera can capture more delicate and clear images. In the remote signing process, a high-resolution camera is very important for capturing signature details, and it can ensure that every stroke in the signature image is clearly visible. When installing the second camera, its position needs to be adjusted to a position where the signatory's signing action can be clearly captured, such as being set directly above or diagonally above the signature panel to ensure that the signature image is unobstructed and clear. The resolution of the high-resolution camera can be 1920x1080 pixels or 3840x2160 pixels, so as to ensure that the resolution of the camera is set appropriately, which can meet the shooting requirements without increasing the burden of data processing due to excessively high resolution.

[0073] The first camera of this embodiment ensures a comprehensive and clear shot of the signer's face through wide-angle and night vision functions, while the second camera captures signature details through high resolution, thereby realizing the remote signing process.

[0074] The embodiment of the present invention further provides a remote signature system, the system comprising a remote monitoring module and a copy module, the remote monitoring module comprising a first camera and a second camera, the remote monitoring module is located at the signatory, the copy module is located at the signature location, the signatory location and the signature location are not located at the same location, The first camera is used to capture the face of the signatory to obtain a facial image; The second camera is used to capture the signature of the signatory to obtain a signature image; The copy module is used to copy the signature of the signatory according to the signature image and the handwriting parameters; The control module is used to control the first camera to capture the face of the signatory to obtain a facial image, and to control the second camera to capture the signature of the signatory to obtain a signature image and handwriting parameters; to authenticate the signatory based on the facial image to determine whether the signatory is a designated signatory; and if so, to control the copy module to copy the signatory's signature based on the signature image and the handwriting parameters.

[0075] For the specific implementation of each module in the above system embodiment, please refer to the above method embodiment, which will not be repeated here.

[0076] Reference Figure 4 In an embodiment of the present invention, a computer device is also provided. The computer device may be a server, and its internal structure may be as follows: Figure 4As shown. The computer device includes a processor, a memory, a display screen, an input device, a network interface and a database connected through a system bus. Among them, the processor designed by the computer is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store the corresponding data in this embodiment. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, the above-mentioned remote signature method is implemented.

[0077] The steps of the processor executing the remote signing method include: The processor photographs the face of the signatory through the first camera to obtain a facial image, and photographs the signature of the signatory through the second camera to obtain a signature image and handwriting parameters; Perform identity authentication on the signatory based on the facial image to determine whether the signatory is a designated signatory; If so, the signature of the signatory is copied according to the signature image and the handwriting parameters by the copy module.

[0078] In a specific embodiment, before the step of using the copy module to copy the signature of the signer according to the signature image and the handwriting parameters, the step further includes: The processor compares the handwriting in the signature image with the pre-stored handwriting of the designated signer to determine whether the handwriting in the signature image is the authentic handwriting of the designated signer; If so, the signature of the signatory is copied according to the signature image and the handwriting parameters by the copy module.

[0079] In a specific embodiment, the step of photographing the signatory's signature through the second camera to obtain the signature image and handwriting parameters includes: The processor determines whether the signatory has completed the signature; If yes, then obtaining a signature image of the signatory after the signatory completes the signature; Performing image analysis on the signature image to identify the handwriting of the signatory; The handwriting of the signer is analyzed to obtain handwriting parameters, wherein the handwriting parameters include at least one of a stroke speed, a stroke force, and a stroke direction.

[0080] In a specific embodiment, the step of photographing the signatory's signature through the second camera to obtain a signature image includes: The processor identifies the pen tip from the field of view of the second camera; Acquire the motion trajectory of the pen tip and the handwriting parameters during the motion of the pen tip in real time, wherein the handwriting parameters include at least one of the stroke speed, stroke force and stroke direction; Determining whether the signatory has completed the signature; If yes, then obtain the signature image of the signatory after completing the signature.

[0081] In a specific embodiment, the carbon copy module includes a fixed arm, a mechanical arm, a signature pen and a signature panel, one end of the fixed arm is fixed to the mounting table, one end of the mechanical arm is movably connected to the other end of the fixed arm, the other end of the mechanical arm is equipped with the signature pen, and the signature pen is arranged above the signature panel. The step of duplicating the signature of the signatory according to the signature image and the handwriting parameters by the duplication module comprises: The processor controls the mechanical arm to move according to the handwriting in the signature image and the handwriting parameters, so as to drive the signature pen to complete the copy of the signer's handwriting on the signature panel.

[0082] In a specific embodiment, the remote monitoring module includes a foldable support, the foldable support includes a first support arm and a second support arm, one end of the first support arm is rotatably connected to one end of the second support arm, the first camera is arranged on the first support arm, and the second camera is arranged on the second support arm; Before the steps of photographing the face of the signatory through the first camera to obtain a face image, and photographing the signature of the signatory through the second camera to obtain a signature image, the method further includes: The processor determines whether there is a face image in the field of view of the first camera; If not, adjusting the position of the first camera or issuing a first adjustment voice reminder until a complete face image exists within the field of view of the first camera; and determining whether there is a feature object image in the field of view of the second camera, the feature object comprising at least one of a pen tip and a finger; If not, the position of the second camera is adjusted or a second adjustment voice reminder is issued until the feature object image exists in the field of view of the second camera.

[0083] In a specific embodiment, the first camera is a wide-angle night vision camera; the second camera is a high-resolution camera.

[0084] Those skilled in the art will understand that Figure 4The structure shown in the figure is merely a block diagram of a portion of the structure related to the solution of the present invention, and does not constitute a limitation on the computer device to which the solution of the present invention is applied.

[0085] An embodiment of the present invention further provides a computer-readable storage medium on which a computer program is stored, and when the computer program is executed by a processor, the above method is implemented. It can be understood that the computer-readable storage medium in this embodiment can be a volatile readable storage medium or a non-volatile readable storage medium.

[0086] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media provided by the present invention and used in the embodiments may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in a variety of forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double-speed data rate SDRAM (SSRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM.

[0087] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, device, article or method including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, device, article or method. In the absence of further restrictions, an element defined by the sentence "includes a ..." does not exclude the presence of other identical elements in the process, device, article or method including the element.

[0088] The above description is only a preferred embodiment of the present invention, and does not limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made by using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A remote signing method, characterized in that: Applied to a remote signature system, the remote signature system comprises a remote monitoring module, a copy module and a control module, the remote monitoring module comprises a first camera and a second camera, the remote monitoring module is located at the signatory, the copy module is located at the signature, the signatory and the signature are not at the same location, the remote signature method is executed by the control module, and the method comprises: photographing the face of the signatory through the first camera to obtain a facial image, and photographing the signature of the signatory through the second camera to obtain a signature image and handwriting parameters; Perform identity authentication on the signatory based on the facial image to determine whether the signatory is a designated signatory; If so, the signature of the signatory is copied according to the signature image and the handwriting parameters by the copy module.

2. The remote signing method according to claim 1, characterized in that: Before the step of duplicating the signature of the signatory according to the signature image and the handwriting parameters by the duplication module, the method further comprises: Comparing the handwriting in the signature image with the pre-stored handwriting of the designated signer to determine whether the handwriting in the signature image is the authentic handwriting of the designated signer; If so, the signature of the signatory is copied according to the signature image and the handwriting parameters by the copy module.

3. The remote signing method according to claim 1, characterized in that: The step of photographing the signature of the signatory by the second camera to obtain the signature image and handwriting parameters comprises: Determining whether the signatory has completed the signature; If yes, then obtaining a signature image of the signatory after the signatory completes the signature; Performing image analysis on the signature image to identify the handwriting of the signatory; The handwriting of the signer is analyzed to obtain handwriting parameters, wherein the handwriting parameters include at least one of a stroke speed, a stroke force, and a stroke direction.

4. The remote signing method according to claim 1, characterized in that: The step of photographing the signature of the signatory by the second camera to obtain a signature image comprises: identifying the pen tip from the field of view of the second camera; Acquire the motion trajectory of the pen tip and the handwriting parameters during the motion of the pen tip in real time, wherein the handwriting parameters include at least one of the stroke speed, stroke force and stroke direction; Determining whether the signatory has completed the signature; If yes, then obtain the signature image of the signatory after completing the signature.

5. The remote signing method according to claim 3 or 4, characterized in that: The copy module includes a fixed arm, a mechanical arm, a signature pen and a signature panel, one end of the fixed arm is fixed on the installation table, one end of the mechanical arm is movably connected to the other end of the fixed arm, the other end of the mechanical arm is equipped with the signature pen, and the signature pen is arranged above the signature panel. The step of duplicating the signature of the signatory according to the signature image and the handwriting parameters by the duplication module comprises: The mechanical arm is controlled to move according to the handwriting in the signature image and the handwriting parameters, so as to drive the signature pen to complete the copy of the signer's handwriting on the signature panel.

6. The remote signing method according to claim 1, characterized in that: The remote monitoring module comprises a foldable support, the foldable support comprises a first support arm and a second support arm, one end of the first support arm is rotatably connected to one end of the second support arm, the first camera is arranged on the first support arm, and the second camera is arranged on the second support arm; Before the steps of photographing the face of the signatory through the first camera to obtain a face image, and photographing the signature of the signatory through the second camera to obtain a signature image, the method further includes: Determining whether there is a face image within the field of view of the first camera; If not, adjusting the position of the first camera or issuing a first adjustment voice reminder until a complete face image exists within the field of view of the first camera; and determining whether there is a feature object image in the field of view of the second camera, the feature object comprising at least one of a pen tip and a finger; If not, the position of the second camera is adjusted or a second adjustment voice reminder is issued until the feature object image exists in the field of view of the second camera.

7. The remote signing method according to claim 1, characterized in that: The first camera is a wide-angle night vision camera; the second camera is a high-resolution camera.

8. A remote signature system, characterized in that: The system comprises a remote monitoring module and a copy module, wherein the remote monitoring module comprises a first camera and a second camera, the remote monitoring module is located at the signatory, and the copy module is located at the signature location, wherein the signatory location and the signature location are not located at the same location, The first camera is used to capture the face of the signatory to obtain a facial image; The second camera is used to capture the signature of the signatory to obtain a signature image; The copy module is used to copy the signature of the signatory according to the signature image and the handwriting parameters; The control module is used to control the first camera to capture the face of the signatory to obtain a facial image, and to control the second camera to capture the signature of the signatory to obtain a signature image and handwriting parameters; to authenticate the signatory based on the facial image to determine whether the signatory is a designated signatory; and if so, to control the copy module to copy the signatory's signature based on the signature image and the handwriting parameters.

9. A computer device comprising a memory and a processor, wherein a computer program is stored in the memory, wherein: When the processor executes the computer program, the steps of the remote signing method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the remote signing method according to any one of claims 1 to 7 are implemented.