Device for automatically guiding user to enter optimal operation area according to face recognition algorithm

Abstract

The utility model discloses a device for automatically guiding a user to enter an optimal operation area according to a face recognition algorithm, which relates to the technical field of service desks and comprises an intelligent control system, the intelligent control system is provided with an outer shell, a touch screen is embedded on the outer surface of the intelligent control system, and an auxiliary screen and a voice module are arranged on one side of the outer shell; a microphone is arranged below the outer shell; a face recognition camera is embedded in the upper end of the outer shell; the device further comprises a human body sensor and a light projector. A server and a data memory are arranged in the outer shell; according to the utility model, the face recognition camera is installed at a position where the face of a user can be clearly captured and is responsible for collecting image information of the user; an advanced deep learning algorithm is adopted to analyze the collected image, and identity features of the user are recognized; the human body sensor is used for detecting the real-time position of the user, and the user is guided to change the standing position through judgment of the system, so that the user can accurately stand to the optimal operation position.

Description

Technical Field

[0001] The utility model specifically relates to the technical field of service desks, in particular to a device that automatically guides users into an optimal operating area based on a face recognition algorithm. Background Art

[0002] A self-service machine is a device that provides users with self-service, and has many advantages such as high efficiency, convenience, and 24-hour availability.

[0003] Financial services: For example, ATMs can provide cash withdrawals, deposits, transfers, balance inquiries and other functions; self-service payment machines can pay various fees such as water, electricity, telephone, and gas bills.

[0004] Ticketing services: including self-service ticket vending machines that can sell train tickets, bus tickets, plane tickets, attraction tickets, etc.; self-service ticket collection machines allow users to quickly collect tickets after purchasing them online.

[0005] Government services: For example, self-service government services kiosks can handle ID card applications, passport endorsements, social security inquiries, tax returns, and other services.

[0006] Commercial services: such as self-service ordering machines and self-service shopping machines in shopping malls, allowing consumers to place orders and pay quickly.

[0007] When using existing service terminals, such as self-service terminals and operating stations on industrial production lines, users must precisely position themselves in specific areas to achieve the best operating experience and efficient workflow. However, users currently rely on experience or identification to find the optimal operating area, which is often inaccurate and inconvenient, leading to low efficiency and increased error rates. Utility Model Content

[0008] The purpose of the utility model is to provide a device that automatically guides a user into an optimal operating area based on a face recognition algorithm. If the user is located on the left side of the optimal operating area, the guidance instruction will issue a voice prompt to move left; the user adjusts his position according to the guidance signal until he enters the optimal operating area, so as to solve the technical problems raised in the above-mentioned background technology.

[0009] To achieve the above objectives, the present invention provides the following technical solutions:

[0010] A device that automatically guides a user into an optimal operating area based on a face recognition algorithm, comprising

[0011] The intelligent control system comprises an outer shell, a touch screen is embedded in the outer surface of the outer shell, and a secondary screen and a voice module are provided on one side of the outer shell; a microphone is provided below the outer shell; and a face recognition camera is embedded in the upper end of the outer shell;

[0012] It also includes a human body sensor and a light projector; a server and a data storage device are arranged inside the outer shell.

[0013] As a further technical solution of the present invention, the outer shell is connected to the self-service machine support body through an adjustable hinge.

[0014] As a further technical solution of the present invention, a horizontal platform is fixed on one side of the self-service machine support body; a plurality of human body sensors are provided on the side of the horizontal platform away from the self-service machine support body, and a light projector is provided below the human body sensors.

[0015] As a further technical solution of the present invention, the human body sensor can be one or a combination of an infrared sensor and an ultrasonic sensor.

[0016] As a further technical solution of the present invention, the bottom of the self-service machine support body is fixed on the self-service machine base.

[0017] Compared with the prior art, the beneficial effects of the present invention are:

[0018] 1. This utility model uses a facial recognition camera installed in a position where it can clearly capture the user's face and is responsible for collecting the user's image information. It uses advanced deep learning algorithms to analyze the collected images and identify the user's identity characteristics.

[0019] 2. In this utility model, the human body sensor can be a combination of one or more infrared sensors and ultrasonic sensors; it is used to detect the user's real-time position and guide the user to change their standing position through system judgment, so that the user can accurately stand in the optimal operating position;

[0020] 3. In the present invention, the position where the light projector projects light onto the ground is the best operating area, which can guide the user to enter. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 It is a three-dimensional structural diagram of the utility model.

[0022] Figure 2 This utility model Figure 1 main view.

[0023] Figure 3 This utility model Figure 1 Right view of .

[0024] Figure 4 This utility model Figure 1 Left view of .

[0025] Figure 5 This is a system judgment flow chart of the utility model.

[0026] In the figure: 1- self-service machine base, 2- self-service machine support body, 3- horizontal platform, 4- outer shell, 5- face recognition camera, 6- touch screen, 7- secondary screen, 8- voice module, 9- microphone, 10- human body sensor, 11- light projector. DETAILED DESCRIPTION

[0027] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the embodiments described are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0028] See also Figure 1-5 In an embodiment of the utility model, a device for automatically guiding a user into an optimal operating area based on a face recognition algorithm includes an intelligent control system having an outer shell 4, a touch screen 6 embedded in the outer surface of the outer shell, and a sub-screen 7 and a voice module 8 on one side of the outer shell 4; a microphone 9 is provided below the outer shell 4; and a face recognition camera 5 is embedded on the upper end of the outer shell 4;

[0029] It also includes a human body sensor 10 and a light projector 11; a server and a data storage device are arranged inside the outer shell 4.

[0030] As a further illustration of the above embodiment, when the intelligent control system is in operation, the operator stands at the front of the device, at which time the face recognition camera 5 is turned on and an image is captured; the image information is transmitted to the server for comparison, and the image is analyzed using a face recognition algorithm to extract facial features, which are then compared with the user information in the data storage to determine the user's identity;

[0031] If the user information is not matched, the user can be guided to register. After the registration is completed or the user's identity is confirmed, the user's position information is detected by the human body sensor 10 to determine whether the user is standing in the best operating position;

[0032] At this time, the light projector 11 will project onto the ground and display the optimal operating position on the ground. The voice module 8 will broadcast the voice to remind the user to move left, right, forward or backward so that the user can accurately enter the optimal operating position.

[0033] By adopting the above technical solution, users can quickly and accurately stand in the optimal operating position; at this time, the self-service terminal can provide users with more convenient and efficient services.

[0034] As a further explanation: the face recognition camera 5 is installed in a position where it can clearly capture the user's face and is responsible for collecting the user's image information; it uses advanced deep learning algorithms to analyze the collected images and identify the user's identity characteristics.

[0035] The human body sensor 10 can be one or more combinations of infrared sensors and ultrasonic sensors; it is used to detect the user's real-time position and guide the user to change his standing position through system judgment, so that the user can accurately stand in the optimal operating position.

[0036] In this embodiment, the outer shell 4 is connected to the self-service machine support body 2 through an adjustable hinge.

[0037] By adopting the above technical solution, the outer shell 4 can adjust the angle of the self-service machine support body 2 accordingly, ensuring that the inclination angle of the face recognition camera 5 is just enough to obtain the user's facial information.

[0038] In this embodiment, a horizontal platform 3 is fixed to one side of the self-service machine support body 2; a plurality of human body sensors 10 are provided on the side of the horizontal platform 3 away from the self-service machine support body 2, and a light projector 11 is provided below the human body sensor 10.

[0039] By adopting the above technical solution, the position where the light projector 11 projects the light and falls on the ground is the optimal operating area, which can guide the user to enter.

[0040] In this embodiment, the self-service machine support body 2 is fixed on the self-service machine base 1 at the bottom.

[0041] Server: Responsible for processing face recognition and location detection data, running the guidance algorithm, and controlling the output of the guidance instruction module.

[0042] Data storage: stores user information, operation area layout and other data for system query and analysis.

[0043] Voice module 8: plays voice commands to inform the user of the direction and distance to go.

[0044] Microphone 9 supports manual interaction when handling business, making it convenient for users to handle business.

[0045] The secondary screen 7 displays text or image prompts to guide the user to the optimal operation area.

[0046] The working principle of the present invention is as follows: during operation, the operator stands at the front of the device, at which time the face recognition camera 5 is turned on and an image is collected; the image information is transmitted to the server for comparison, and the face recognition algorithm is used to analyze the image, extract the face features, and compare them with the user information in the data storage to determine the user's identity;

[0047] If the user information is not matched, the user can be guided to register. After the registration is completed or the user's identity is confirmed, the user's position information is detected by the human body sensor 10 to determine whether the user is standing in the best operating position;

[0048] At this time, the light projector 11 will project onto the ground and display the optimal operating position on the ground. The voice module 8 will broadcast the voice to remind the user to move left, right, forward or backward so that the user can accurately enter the optimal operating position.

[0049] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention. Therefore, the embodiments should be considered in all respects as illustrative and non-restrictive, and the scope of the present invention is defined by the appended claims, not the foregoing description, and all variations within the meaning and range of equivalents of the claims are intended to be encompassed within the present invention. Any reference sign in a claim should not be construed as limiting the claim to which it relates.

[0050] In addition, it should be understood that although this specification is described in terms of implementation methods, not every implementation method contains only one independent technical solution. This narrative method of the specification is only for the sake of clarity. Those skilled in the art should regard the specification as a whole. The technical solutions in each embodiment can also be appropriately combined to form other implementation methods that can be understood by those skilled in the art.

Claims

1. A device that automatically guides a user into an optimal operating area based on a face recognition algorithm, characterized by: include An intelligent control system comprises an outer shell (4), a touch screen (6) embedded in the outer surface of the outer shell, and a secondary screen (7) and a voice module (8) provided on one side of the outer shell (4); a microphone (9) is provided below the outer shell (4); and a face recognition camera (5) is embedded in the upper end of the outer shell (4); It also includes a human body sensor (10) and a light projector (11); a server and a data storage device are arranged inside the outer shell (4).

2. The device for automatically guiding a user into an optimal operating area based on a face recognition algorithm according to claim 1, characterized in that: The outer shell (4) is connected to the self-service machine support body (2) via an adjustable hinge.

3. The device for automatically guiding a user into an optimal operating area based on a face recognition algorithm according to claim 2, characterized in that: A horizontal platform (3) is fixed on one side of the self-service machine support body (2); a plurality of human body sensors (10) are provided on the side of the horizontal platform (3) away from the self-service machine support body (2), and a light projector (11) is provided below the human body sensors (10).

4. The device for automatically guiding a user into an optimal operating area based on a face recognition algorithm according to claim 3, characterized in that: The human body sensor (10) can be one or a combination of an infrared sensor and an ultrasonic sensor.

5. The device for automatically guiding a user into an optimal operating area based on a face recognition algorithm according to claim 2, characterized in that: The self-service machine support body (2) is fixed on the self-service machine base (1) at the bottom.

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