Self-service equipment supporting image acquisition

Abstract

The utility model discloses self-service equipment supporting image acquisition, and relates to the technical field of self-service equipment, and the self-service equipment comprises an equipment main body and a camera unit installed on the equipment main body; wherein the equipment main body is provided with a front shell and a rear shell which are opposite to each other, the front shell is an equipment screen with a preset light transmittance, the front shell and the rear shell form an installation space, and the camera unit is located in the installation space; the camera unit comprises at least one camera and at least one driving device, and the camera is arranged close to a device screen; one end of at least one driving device is fixed on the rear shell of the device main body, the other end is connected with one camera, and the driving device drives the camera to move on the surface of the device screen; the preset light transmittance gt of the equipment screen; and 25%. According to the invention, the camera unit is arranged behind the equipment screen, and the camera unit can collect the card handling information of the card handling user from the front side through the equipment screen, so that the requirements of the user can be better met.

Description

Technical Field

[0001] This application relates to the technical field of self-service devices, and particularly to a self-service device supporting image acquisition. Background Art

[0002] With the rapid development of society and continuous progress of technology, people's demand for public services is increasing day by day. Especially in the application of documents such as digital RMB wallets, there are many inconveniences in the traditional counter handling method. First of all, the traditional method requires users to go to the service window in person, fill out cumbersome application forms, and wait for staff to review and process. The whole process is time-consuming and laborious. Secondly, during peak periods, the service windows are often overcrowded, and users need to queue for a long time, seriously affecting the handling efficiency. In addition, there are also risks such as information entry errors and document loss in the traditional method, which are likely to bring unnecessary troubles to users.

[0003] With the continuous iteration of digital RMB wallet products, there are more and more forms, expanding from the standard card method to the shape of special-shaped cards, and there are also more and more promotion methods, gradually expanding from bank branch promotion to scenario-based promotion, adding personalized promotion methods in scenario-based locations such as airports, scenic spots, and conference venues. The distribution (exchange) method has also expanded from manual distribution to self-service exchange, expanding service channels, increasing customer contact surfaces, having the advantages of reducing manual input, reducing branch costs, increasing service hours, and being able to receive wallets at any time.

[0004] There are many ways of user interaction, including early text interaction, graphic interaction, symbol interaction, voice interaction, and expression interaction, etc. The existing interaction method of the receiving device evolved from the traditional PC interface interaction method, mainly with graphic interaction and text interaction, and the business processes are mainly in a serial manner. In the interaction process of complex functions, repeated selection and backtracking are often required. The interaction process is long, the interface logic is complex, which makes people have difficulty in choosing, and there is the disadvantage of poor user experience. Especially when users authenticate, they need to repeatedly observe the camera and perform a single action multiple times. Since it is difficult for users to adjust the angle and speed, it often leads to user authentication failure and increases the business handling time.

[0005] To solve the above problems, self-service devices have gradually come into people's view. As one of them, the self-service card application device realizes the automation and intelligence of card application by integrating advanced technologies such as ID card recognition, face recognition, and fingerprint recognition. Users only need to carry valid identity documents and operate according to the device prompts, and they can complete the card application process within a short time, greatly improving the efficiency of handling affairs. However, the current self-service card application devices on the market still have deficiencies in terms of functions, performance, and user experience. For example, some devices only support simple information entry and printing functions and cannot meet the diverse needs of users; some devices have complex operations and are difficult for users to get started quickly; some devices have potential risks in terms of security and stability and are likely to bring potential risks to users. Summary of the Invention

[0006] The purpose of this application is to provide a self-service device that supports image acquisition. The camera unit is arranged behind the device screen, and the camera unit can collect the card application information of the card application user from the front through the device screen, which can better meet the needs of users.

[0007] To achieve the above purpose, this application provides a self-service device that supports image acquisition, including: a device main body and a camera unit installed on the device main body; wherein, the device main body has opposite front and rear shells, the front shell is a device screen with a preset light transmittance, the front shell and the rear shell form an installation space, and the camera unit is located in the installation space; the camera unit includes at least one camera and at least one driving device, and the camera is arranged close to the device screen; one end of at least one driving device is fixed on the rear shell of the device main body, and the other end is connected to the camera, and the driving device drives the camera to move on the surface of the device screen; the preset light transmittance of the device screen > 25%.

[0008] In one embodiment, the driving device includes a servo motor and an electric screw rail. The servo motor is connected to the electric screw rail, and the camera is installed on the electric screw rail. The servo motor drives the electric screw rail to move, thereby driving the camera to move on the surface of the device screen. The electric screw rail is a cross-shaped electric screw rail, a T-shaped screw rail, or a grid-shaped screw rail.

[0009] In one embodiment, the driving device includes a servo motor, a screw, and a rail. The servo motor is connected to one end of the screw, the other end of the screw is connected to the camera, the camera is installed on the rail and slides along the rail, and the rail is installed on the rear shell of the device main body.

[0010] In one embodiment, the camera includes a horizontal camera, and the driving device includes a horizontal driving device connected to the horizontal camera. The horizontal camera and the horizontal driving device form a horizontal camera unit. The horizontal driving device has a servo motor, a lead screw, and at least one horizontal slide rail. At least one horizontal slide rail is provided on the rear shell of the device body and is in a horizontal state with the placement surface. At least one horizontal camera is provided on each horizontal slide rail.

[0011] In one embodiment, the camera includes a vertical camera, and the driving device includes a vertical driving device connected to the vertical camera. The vertical camera and the vertical driving device form a vertical camera unit. The vertical driving device has a servo motor, a lead screw, and at least one vertical slide rail. At least one vertical slide rail is provided on the rear shell of the device body and is in a perpendicular state with at least one horizontal slide rail. At least one vertical camera is provided on each vertical slide rail.

[0012] In one embodiment, the thickness of the device screen is 2 mm - 3 mm.

[0013] In one embodiment, the device screen is an OLED screen.

[0014] In one embodiment, the preset light transmittance of the device screen is 45%.

[0015] In one embodiment, the camera unit is located in the central region of the rear shell of the device screen.

[0016] The beneficial effects achieved by this application are as follows:

[0017] (1) For the self-service device supporting image acquisition in this application, the camera unit is arranged behind the device screen, and the camera unit can collect the card application information of the card application user from the front through the device screen, which can better meet the needs of users.

[0018] (2) The camera unit of the self-service device supporting image acquisition in this application can adjust the shooting position of the camera, making the image acquisition angle more reasonable.

[0019] (3) Through one or more cameras in the camera unit of this application, information such as human portraits, gestures, and / or eye trajectories can be obtained, reducing the collection by unreliable devices such as touch screens, thereby changing the text conversion to graphic conversion.

[0020] (4) The self-service device supporting image acquisition in this application can complete the collection of ID photos anytime and anywhere, obtaining appropriate photo angles, colors, and backgrounds.

[0021] (5) The self-service device supporting image acquisition in this application can greatly expand the usage scenarios of the device, avoid the trouble of taking photos in advance, and improve the card production efficiency.

[0022] (6) The self-service device supporting image acquisition in this application combines technologies such as OCR (Optical Character Recognition) and face recognition to improve the information input speed and the certificate processing efficiency.

[0023] (7) The self-service device supporting image acquisition in this application can collect 3D information through multiple cameras to generate three-dimensional head portrait information.

[0024] (8) The self-service device supporting image acquisition in this application can utilize mobile phone input and camera photography to achieve a way of information input. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments recorded in this application. For those of ordinary skill in the art, other drawings can also be obtained based on these drawings.

[0026] Figure 1 Schematic structural diagram of an embodiment of the self-service device supporting image acquisition;

[0027] Figure 2 Schematic structural diagram of an embodiment of the self-service device supporting image acquisition used by a card applicant;

[0028] Figure 3 Schematic structural diagram of another embodiment of the self-service device supporting image acquisition used by a card applicant;

[0029] Figure 4 Schematic structural diagram of another embodiment of the self-service device supporting image acquisition. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0030] The following combines the drawings in the embodiments of the present utility model to clearly and completely describe the technical solutions in the embodiments of the present utility model. Obviously, the described embodiments are some embodiments of the present utility model, rather than all embodiments. Based on the embodiments of the present utility model, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present utility model.

[0031] As Figures 1-4 shown, the first embodiment of this application provides a self-service device supporting image acquisition, including: a device main body 1 and a camera unit 2 installed on the device main body 1. Among them, the device main body 1 has a relative front shell and rear shell. The front shell is a device screen 11 with a preset light transmittance. The front shell and the rear shell form an installation space, and the camera unit is located in the installation space.

[0032] In this embodiment, the camera unit includes at least one camera and at least one driving device. The camera is disposed close to the device screen 11. One end of at least one driving device is fixed to the rear case of the device main body 1, and the other end is connected to the camera. The driving device drives the camera to move on the surface of the device screen 11, and the preset light transmittance of the device screen 11 > 25%.

[0033] Specifically, due to the low light transmittance of traditional screens, traditional self-service devices can only open holes at the top, side, or bottom edge of the screen. The holes are used to place the camera, and the camera captures images through the holes in the screen. The existing hole positions cannot be in the middle of the screen or other positions, otherwise it will affect the screen display effect. In this way, the position of the camera cannot be adjusted arbitrarily. Therefore, when traditional self-service devices collect the card application information of card applicants through the camera, the card applicants can only continuously adjust their own positions according to the position of the set camera, and then cooperate with the collection process.

[0034] Based on the above defects of traditional self-service devices, the device screen 11 of the device main body 1 in this application is set as a screen that meets the preset light transmittance. Therefore, the camera unit 2 can be set at any position on the back of the device screen 11. The camera unit 2 can collect the card application information of card applicants from the front through the device screen 11, which can better meet the needs of users. Hiding the camera of the camera unit 2 behind the device screen 11 can also reduce the width of the border, reduce the overall size of the self-service device supporting image collection, and create a more beautiful device appearance, achieving the effect of a micro-border device. The device main body 1 can be realized by using the existing structure.

[0035] Such as Figure 3 and Figure 4 As shown, the driving device adopted in this embodiment includes a servo motor, a lead screw, and a slide rail. The servo motor is connected to one end of the lead screw, the other end of the lead screw is connected to the camera, the camera is installed on the slide rail and slides along the slide rail, and the slide rail is installed on the rear case of the device main body. The servo motor drives the lead screw, and the lead screw drives the camera to move along the horizontal slide rail or the vertical slide rail. In the first application scenario, the camera needs to move along the preset slide rail.

[0036] In the first application scenario, the camera unit includes a horizontal camera unit and a vertical camera unit. The horizontal camera unit includes a horizontal camera and a horizontal driving device connected to the horizontal camera. The vertical camera unit includes a vertical camera and a vertical driving device connected to the vertical camera.

[0037] The horizontal camera unit is used to drive the camera to move along the surface of the device screen 11 in the horizontal direction. The horizontal driving device has the above-mentioned servo motor, lead screw, and at least one horizontal slide rail 21. Such as Figure 3 and 4As shown, at least one horizontal slide rail 21 is provided on the rear case of the device main body 1 and is in a horizontal state with the placement surface. At least one horizontal camera is provided on each horizontal slide rail 21. After the servo motor drives the lead screw to drive the horizontal camera to move to the required horizontal position along the horizontal slide rail 21, the card application information is collected by the horizontal camera.

[0038] A vertical camera unit is used to drive the vertical camera to move along the surface of the device screen 11 in the vertical direction. The vertical driving device has the above-mentioned servo motor, lead screw, and at least one vertical slide rail 22. At least one vertical slide rail 22 is provided on the rear case of the device main body 1 and is perpendicular to at least one horizontal slide rail 21. At least one vertical camera 23 is provided on each vertical slide rail 22. After the servo motor drives the lead screw to drive the vertical camera 23 to move to the required vertical position along the vertical slide rail 22, the card application information is collected by the vertical camera 23.

[0039] The horizontal camera and vertical camera of the present application also have a live detection device, which determines whether it is a live body by collecting the actions of the human face (such as: turning left and right, looking up, looking down, etc.) and the video of the user's eyes. The live detection device includes: a motion trajectory output unit, an activity trajectory determination unit, and a trajectory matching unit. Among them, the motion trajectory output unit is connected to the device screen 11. The motion trajectory output unit: is used to randomly generate a detection motion trajectory and output the detection motion trajectory to the device screen 11 for display. The activity trajectory determination unit is connected to the camera. The activity trajectory determination unit: is used to receive the eye movement trajectory collected by the camera during live body detection using the detection motion trajectory. The trajectory matching unit is connected to the motion trajectory output unit and the activity trajectory determination unit. The trajectory matching unit: is used to perform matching analysis on the detection motion trajectory and the eye movement trajectory to generate a matching result; if the matching degree between the curve of the calculated detection motion trajectory and the curve of the eye movement trajectory is greater than the preset matching degree threshold, the generated matching result is a successful match, that is, the current user's live body detection is successful; if the matching degree between the curve of the calculated detection motion trajectory and the curve of the eye movement trajectory is less than or equal to the preset matching degree threshold, the generated matching result is a failed match, that is, the current user's live body detection fails.

[0040] As an example, the randomly generated detected motion trajectory is guided and displayed by a detection target (e.g., a moving small ball or a trajectory line with a set curve having a motion icon). The device screen 11 orderly displays the positions of the detection target according to the detected motion trajectory, thereby guiding the eyes of the card - applying user to move following the detection target. Thus, a video of the card - applying user's eyes moving following the detection target is captured by a camera (a horizontal camera and / or a vertical camera 23), and a corresponding eye movement trajectory is generated. Among them, the detected motion trajectory is an irregular motion trajectory, and the detection target randomly moves in various directions (e.g., upward, downward, leftward, and rightward, etc.) at a uniform speed or a variable speed. For example, in the existing eye - tracking liveness detection device, eye movement tracking is mainly used for the acquisition, modeling, and simulation of eye movement information. Specifically, the liveness detection device adopted in this application can refer to the invention patent with the application number 105139557, the certificate number TW1707243B, and the title of Method, Device, and System for Liveness Detection Based on Eye Tracking, but is not limited to referring to the invention patent with the application number 105139557, the certificate number TW1707243B, and the title of Method, Device, and System for Liveness Detection Based on Eye Tracking.

[0041] Specifically, the liveness detection device is used to verify that there is a living person in front of the device screen 11, rather than just a photo or a video. Through the liveness detection device, accurate verification such as real - person liveness recognition can be completed, relevant fraud means can be effectively prevented, and the security and practicality of identity verification based on face recognition can be improved. The camera in this application has the function of the liveness detection device and can also be realized by using existing devices. The cameras in this application can be of the brand Diweitai, with models such as DV - DH4053S305AD - GKL, DV - DM666GO, DV - DH4044S305AD - GCMF, etc.

[0042] In this application, both the horizontal camera and the vertical camera 23 are hidden behind the device screen 11. By moving the horizontal camera along the horizontal slide rail 21, left - right movement of the horizontal camera behind the device screen 11 is realized. By moving the vertical camera 23 along the vertical slide rail 22, up - down movement of the vertical camera 23 behind the device screen 11 is realized. Through the horizontal camera and the vertical camera 23, video photos of the card - applying user can be obtained in all directions, and the position can be adjusted according to factors such as the height, position, and / or facial orientation of the card - applying user, so as to more clearly capture facial information and expression actions. Through the images collected from multiple angles of left, right, up, and down, a 3D facial image can be made, thus obtaining a clearer image (e.g., face information), and enabling the image printed on the certificate to have higher pixels.

[0043] Further, the specific number of the horizontal slide rails 21 is set according to the actual situation. When there is one horizontal slide rail 21, it is located in the middle of the vertical direction of the device screen 11. When there are multiple horizontal slide rails 21, the multiple horizontal slide rails 21 are evenly spaced and arranged on the entire back surface of the device screen 11, and each horizontal slide rail 21 is in a horizontal state with the placement surface.

[0044] Further, the specific number of the horizontal cameras on each horizontal slide rail 21 is set according to the actual situation, and one is preferably selected in this application.

[0045] Further, the specific number of the vertical slide rails 22 is set according to the actual situation. When there is one vertical slide rail 22, it is located in the middle of the horizontal direction of the device screen 11. When there are multiple vertical slide rails 22, the multiple vertical slide rails 22 are evenly spaced and arranged on the entire back surface of the device screen 11, and each vertical slide rail 22 is in a vertical state with the placement surface.

[0046] Further, the specific number of the vertical cameras 23 on each vertical slide rail 22 is set according to the actual situation, and one is preferably selected in this application.

[0047] Further, the device screen 11 can be realized by using an existing screen. The specific type of the device screen 11 is selected according to the actual situation. In this application, it is preferably that the device screen 11 is an OLED screen.

[0048] Further, the specific thickness of the device screen 11 is set according to the actual situation. In this application, it is preferably that the thickness of the device screen 11 is 2 mm - 3 mm, which can make the light collection of the cameras of the camera unit 2 clearer.

[0049] Further, the specific value of the preset light transmittance of the device screen 11 is set according to the actual situation. In this application, it is preferably that the preset light transmittance of the device screen 11 > 25%.

[0050] Further, the preset light transmittance of the device screen 11 = 45%.

[0051] Further, the specific position of the camera unit 2 on the rear shell of the device screen 11 is set according to the actual situation. In this application, it is preferably set in the central area of the rear shell of the device screen 11.

[0052] In the second application scenario, the driving device adopted in the embodiment of the present application includes a servo motor and an electric screw rail. The servo motor is connected to the electric screw rail, and the camera is installed on the screw rail. The servo motor drives the electric rail to move, thereby driving the camera to move on the surface of the device screen. The electric screw rail is a cross-shaped electric screw rail, a T-shaped screw rail, or a well-shaped screw rail. This driving device does not require installing a rail on the rear case, and the moving direction is more freely controllable. The electric screw rail can slide freely along the surface of the device screen under the drive of the servo motor. For example, the driving device can select the cross polar coordinate working rail of Xinhao Intelligence.

[0053] The second embodiment of the present application provides a self-service device supporting image acquisition, which further includes a main control unit. The main control unit communicates with the driving device. The main control unit includes an industrial control host with an MCU and an operating system running on the host. The main control unit has a certificate photo generation unit, a graphic and text recognition unit, and an artificial intelligence logic review unit.

[0054] In one embodiment, the industrial control host of the MCU of the present application runs a certificate photo generation unit. The certificate photo generation unit receives the pictures or videos collected by the camera unit, obtains portrait information in different orientations according to the pictures or video stream images of the card-issuing user, extracts the face feature information in the portrait information, and inputs the face feature information into a pre-trained deep neural network model to obtain face information.

[0055] Specifically, the certificate photo generation unit can be implemented by using existing devices. For example, the certificate photo generation unit can adopt a certificate photo standardization processing device disclosed in the invention patent with the application number CN202110026679.1 and the invention name of "A Method and Device for Standardizing Certificate Photos", but it is not limited to using the certificate photo standardization processing device disclosed in the invention patent with the application number CN202110026679.1 and the invention name of "A Method and Device for Standardizing Certificate Photos", or the certificate photo generation unit adopts Baidu image processing software.

[0056] Furthermore, an existing AI (artificial intelligence) software is set in the certificate photo generation unit. Inputting the face information into the AI software can adjust a certificate photo with better effects. The AI (artificial intelligence) software can adopt the AI portrait restoration, matting, and enhancement tools launched by ARC Lab under Tencent or the series of image processing tools produced by ClipDrop Stability.AI, but it is not limited to the AI portrait restoration, matting, and enhancement tools launched by ARC Lab under Tencent or the series of image processing tools produced by ClipDrop Stability.AI.

[0057] Specifically, the AI software can adjust the background color of the collected face information, automatically remove irrelevant content, generate ID photos with specific colors and / or portrait photos with specific backgrounds, and when using two or more cameras to collect information simultaneously, the AI software can synthesize the pictures from the background to improve the picture clarity and avoid the problem of blurred pictures.

[0058] Furthermore, the self-service device supporting image collection further includes: a graphic and text recognition unit, which is connected to the camera unit 2. The graphic and text recognition unit: is used to receive the card application information sent by the camera unit 2, obtain the graphic and text area according to the video stream image of the graphic and text, extract the graphic and text feature information in the graphic and text area, and input the graphic and text feature information into a pre-trained deep neural network model to obtain the text information.

[0059] Furthermore, the graphic and text recognition unit uses OCR software to quickly extract text to achieve graphic and text recognition, but is not limited to OCR software. The present application preferably uses OCR software.

[0060] Specifically, since the current self-service devices are not equipped with a standard computer full-size keyboard, information input is all achieved by relying on the on-screen soft keyboard. The existing soft keyboard implementation technologies are divided into several categories such as optical touch screen technology, infrared touch screen technology, and capacitive touch screen technology, and the effect on large-size screens is not good. Therefore, relying on the camera unit 2 on the back of the device screen 11, the present application can complete image collection from the first perspective, and can also print text on the mobile phone or write it by hand on the paper and show it to the camera unit 2 to collect the information to be input in real time, and use image recognition technology to convert it into text information, thereby completing the work of information collection.

[0061] Furthermore, the self-service device supporting image collection further includes: an artificial intelligence logic review unit, which is connected to the graphic and text recognition unit and the device screen 11. The artificial intelligence logic review unit: is used to receive the text information sent by the graphic and text recognition unit, fill the text information in a preset information form template to obtain a file to be verified, send the file to be verified to the device screen 11 for display, and receive the confirmation information or modification information input according to the file to be verified.

[0062] Specifically, the artificial intelligence logic audit unit can be implemented using existing devices. For example, the artificial intelligence logic audit unit can adopt the material audit device based on character recognition disclosed in the invention patent with the application number CN201910406503.1 and the invention name of "Material Audit Method and Device Based on Character Recognition", and / or the method disclosed in the invention patent with the application publication number CN118012829A and the invention name of "Voucher Document Generation Method, Device, Electronic Device and Computer Readable Medium" to implement the functions of the artificial intelligence logic audit unit involved in this application. However, it is not limited to adopting the material audit device based on character recognition disclosed in the invention patent with the application number CN201910406503.1 and the invention name of "Material Audit Method and Device Based on Character Recognition", and / or the method disclosed in the invention patent with the application publication number CN118012829A and the invention name of "Voucher Document Generation Method, Device, Electronic Device and Computer Readable Medium" to implement the functions of the artificial intelligence logic audit unit involved in this application. By comparing the map information and the input address information in the background, the address name verification is completed. By comparing the face image and the name information in the background, the information verification is completed. This application can complete information input using external devices such as mobile phones, and can also take pictures through the camera to achieve information input.

[0063] The beneficial effects achieved by this application are as follows:

[0064] (1) For the self-service device supporting image acquisition in this application, the camera unit is set behind the device screen, and the camera unit can collect the card application information of the card application user from the front through the device screen, which can better meet the needs of users.

[0065] (2) The camera unit of the self-service device supporting image acquisition in this application can adjust the shooting position of the camera, making the angle of image acquisition more reasonable.

[0066] (3) Through one or more cameras in the camera unit of this application, information such as human figures, gestures, and / or eye trajectories can be obtained, reducing the collection by unreliable devices such as touch screens, thereby changing the text-to-text conversion to text-to-graphic conversion.

[0067] (4) The self-service device supporting image acquisition in this application can collect ID photos anytime and anywhere, obtaining appropriate photo angles, colors, and backgrounds.

[0068] (5) The self-service device supporting image acquisition in this application can greatly expand the usage scenarios of the device, avoid the trouble of taking photos in advance, and improve the card production efficiency.

[0069] (6) The self-service device supporting image acquisition in this application combines technologies such as OCR (Optical Character Recognition) and face recognition to improve the information input speed and the certificate processing efficiency.

[0070] (7) The self-service device supporting image acquisition in this application can collect 3D information through multiple cameras and generate stereoscopic head image information.

[0071] (8) The self-service device supporting image acquisition in this application can use mobile phone input and camera photography to achieve a way of information input.

[0072] Although the preferred embodiments of this application have been described, those skilled in the art can make additional changes and modifications to these embodiments once they know the basic creative concept. Therefore, the protection scope of this application is intended to be interpreted to include the preferred embodiments and all changes and modifications falling within the scope of this application. Obviously, those skilled in the art can make various changes and variations to this application without departing from the spirit and scope of this application. Thus, if these modifications and variations of this application fall within the scope of the protection of this application and its equivalent technologies, this application also intends to include these modifications and variations.

Claims

1. A self-service device supporting image acquisition, characterized in that, Comprising: A device main body and a camera unit mounted on the device main body; Wherein, the device main body has opposite front and rear shells, the front shell is a device screen with a preset light transmittance, the front shell and the rear shell form an installation space, and the camera unit is located in the installation space; The camera unit includes at least one camera and at least one driving device, and the camera is arranged close to the device screen; One end of the at least one driving device is fixed on the rear shell of the device main body, and the other end is connected to the camera, and the driving device drives the camera to move on the surface of the device screen; The preset light transmittance of the device screen > 25%; 2. The self-service device supporting image acquisition according to claim 1, wherein The driving device includes a servo motor and an electric screw rail, the servo motor is connected to the electric screw rail, the camera is mounted on the electric screw rail, the servo motor drives the electric screw rail to move so as to drive the camera to move on the surface of the device screen, and the electric screw rail is a cross-shaped electric screw rail, a T-shaped screw rail or a well-shaped screw rail.

3. The self-service device supporting image acquisition according to claim 1, characterized in that, The driving device includes a servo motor, a screw and a rail, the servo motor is connected to one end of the screw, the other end of the screw is connected to the camera, the camera is mounted on the rail and slides along the rail, and the rail is mounted on the rear shell of the device main body.

4. The self-service device supporting image acquisition according to claim 3, wherein The camera includes a horizontal camera, and the driving device includes a horizontal driving device connected to the horizontal camera, and the horizontal camera and the horizontal driving device constitute a horizontal camera unit; the horizontal driving device has a servo motor, a screw and at least one horizontal rail, at least one horizontal rail is arranged on the rear shell of the device main body and is in a horizontal state with the placement surface, and at least one horizontal camera is arranged on each horizontal rail.

5. The self-service device supporting image acquisition according to claim 3, wherein The camera includes a vertical camera, and the driving device includes a vertical driving device connected to the vertical camera, and the vertical camera and the vertical driving device constitute a vertical camera unit; the vertical driving device has a servo motor, a screw and at least one vertical rail, at least one vertical rail is arranged on the rear shell of the device main body and is perpendicular to at least one horizontal rail, and at least one vertical camera is arranged on each vertical rail.

6. The self-service device supporting image acquisition according to claim 1, characterized in that, The thickness of the device screen is 2 mm - 3 mm.

7. The self-service device supporting image acquisition according to claim 1, wherein The device screen is an OLED screen.

8. The self-service device supporting image acquisition according to claim 1, characterized in that, The preset light transmittance of the device screen is 45%.

9. The self-service device supporting image acquisition according to claim 1, wherein, The camera unit is located in the central region of the rear shell of the device screen.

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