System for realizing full-scene retail non-inductive AI self-service settlement and smart store thereof

Abstract

The utility model discloses a system for realizing full-scene retail non-inductive AI self-service settlement and a smart store thereof, and relates to the technical field of self-service settlement. The self-service settlement system comprises a goods shelf group, at least one first camera and at least one second camera, the goods shelf group comprises a plurality of goods shelves arranged at intervals, and each goods shelf is provided with at least one first camera and at least one second camera. According to the invention, hardware support can be provided for more convenient self-service settlement. Based on hardware support of the invention, a merchant can develop or deploy related software services by himself / herself, and full-scene retail non-inductive AI self-service settlement is realized, so that identity information of a consumer and consumption amount data during purchase of the consumer can be automatically identified in the consumption process of the consumer. Compared with an existing self-service settlement system based on manpower, full-scene retail non-inductive AI self-service settlement is more convenient, and time spent in the self-service settlement process can be saved.

Description

Technical Field

[0001] This application relates to the field of self-service checkout technology, specifically an AI self-service checkout system and its smart store that realizes seamless retail in all scenarios. Background Art

[0002] Due to the limitations of computer technology, the existing technology can only use manual cooperation with self-service checkout equipment to perform self-service checkout of goods. Specifically, after purchasing goods, consumers bring the goods to the self-service checkout equipment. The self-service checkout equipment reads the barcode on the goods and obtains the price of the goods. The consumer pays according to the price displayed on the self-service checkout equipment to complete the self-service checkout. For example, the patent document entitled "Supermarket Self-Service Checkout System" with the patent authorization announcement number CN206489668U discloses a self-service checkout device similar to the one described above.

[0003] With the increase in computing power and the continuous advancement of artificial intelligence (AI), visual recognition technologies such as facial recognition and object recognition have been widely used in intelligent surveillance. These technologies can quickly and accurately identify specific targets in the surveillance image, greatly improving the efficiency and accuracy of monitoring. In other words, it is possible to further enhance the convenience of a full-scene retail contactless AI self-service checkout system based on artificial intelligence. There is no similar full-scene retail contactless AI self-service checkout system in the existing technology. Utility Model Content

[0004] The purpose of this application is to provide an AI self-service checkout system and its smart store that can realize full-scene retail contactless, so as to solve the technical problem that the self-service checkout system in the existing technology cannot provide hardware support for more convenient self-service checkout.

[0005] To achieve the above objectives, this application provides the following technical solutions:

[0006] In the first aspect, the present application proposes a technical solution for realizing a full-scenario retail contactless AI self-service checkout system, which is applied to smart stores. The self-service checkout system includes a shelf group, at least one first camera, and at least one second camera. The shelf group includes a plurality of shelves arranged at intervals, and each shelf is provided with at least one first camera and at least one second camera.

[0007] The first cameras are arranged in the middle of the middle layer of the corresponding shelf so as to capture the commodities on the opposite shelf. The capturing range of each first camera at least covers the commodities displayed on the shelf.

[0008] The second cameras are arranged at the top ends of the brackets corresponding to the shelves so as to capture the spaces between the shelves. The spacing between adjacent second cameras is less than a preset distance so that the camera ranges overlap, and the camera ranges of the second cameras can completely cover the spaces between the shelves.

[0009] The server, each of the first camera and the second camera is communicatively connected to the server.

[0010] As a specific solution in the technical solution of this application, the smart store includes an exit area; the self-service checkout system also includes a mobile payment device, which is arranged in the exit area and is communicatively connected to the server; the mobile payment device includes a multi-function terminal reader or a settlement device with an Internet payment function and a built-in payment application; the settlement device includes a mobile phone or a tablet computer.

[0011] As a specific solution in the technical solution of the present application, it also includes an alarm, which is arranged in the exit area; the alarm is electrically connected to the server; the alarm is at least used to issue an alarm if the payment amount data of the consumer received by the mobile payment device is inconsistent with the consumption amount data of the consumer; the alarm includes a buzzer or an audible and visual alarm.

[0012] As a specific solution in the technical solution of the present application, each first camera and each second camera transmits the acquired consumer image data and product image data to the server through a communication connection; the server obtains the consumer's identity information and the consumer's consumption amount data through the consumer's image data and the product image data.

[0013] As a specific solution in the technical solution of the present application, the first camera or the second camera includes: a camera body and a camera bracket; the camera body is used to collect video information; the camera bracket is used to adjust the angle of the camera body after installation; the camera bracket includes:

[0014] A first connecting seat and a second connecting seat; the first connecting seat is used to connect to a camera fixture; the second connecting seat is used to connect to the camera body;

[0015] The angle adjustment structure is arranged between the first connecting seat and the second connecting seat, and is used to adjust the angle between the first connecting seat and the second connecting seat.

[0016] As a specific solution in the technical solution of this application, the angle adjustment structure includes:

[0017] a first connecting block connected to the first connecting seat;

[0018] a second connecting block connected to the second connecting seat;

[0019] Fastening bolts; used to fasten and connect the first connecting block and the second connecting block.

[0020] As a specific solution in the technical solution of this application, the angle adjustment structure includes:

[0021] A sliding housing connected to the first connecting seat;

[0022] A sliding cylinder connected to the second connecting seat; the sliding cylinder and the sliding housing form a sliding connection along a first direction, and the first direction is parallel to the axis of the sliding cylinder;

[0023] An elastic member is arranged inside the sliding housing; and the elastic member stores elastic potential energy, and the elastic potential energy is used to form a resistance force between the sliding cylinder and the sliding housing along a first direction.

[0024] As a specific solution in the technical solution of this application, the sliding shell is provided with at least one positioning column, the sliding cylinder is provided with multiple positioning grooves, and the positioning column is adapted to the positioning groove; or, the sliding cylinder is provided with at least one positioning column, the sliding shell is provided with multiple positioning grooves, and the positioning column is adapted to the positioning groove.

[0025] As a specific solution in the technical solution of this application, the outer diameter of the sliding cylinder increases gradually along the first direction; the first direction is from the sliding cylinder to the sliding housing; the outer surface of the sliding cylinder is provided with anti-slip grooves or anti-slip patterns.

[0026] In the second aspect, the present application proposes a technical solution for a smart store that realizes AI self-service settlement for all-scenario retail. The smart store includes a system for realizing AI self-service settlement for all-scenario retail as described in any one of the first aspects.

[0027] Compared with the prior art, the present invention has the following advantages:

[0028] The present application provides a system for realizing AI-free self-service settlement in all-scenario retail, which can provide hardware support for more convenient self-service settlement. Based on the hardware support of this application, merchants can develop or deploy related software services on their own to realize AI-free self-service settlement in all-scenario retail, so that the consumer’s identity information and the consumer’s consumption amount data at the time of purchase can be automatically identified during the consumer’s consumption process. Compared with the existing manual self-service settlement system, AI-free self-service settlement in all-scenario retail is more convenient and can save the time spent in the self-service settlement process. At the same time, the existing self-service settlement requires the affixing of electronic labels on the goods, and requires a large number of people to affix them, which results in an increase in personnel costs and finished goods consumables. The non-sense self-service settlement does not require the affixing of electronic labels, so it can reduce settlement costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Figure 1 A three-dimensional schematic diagram of a camera proposed in an embodiment of the present application;

[0030] Figure 2 A three-dimensional schematic diagram of a camera bracket proposed in an embodiment of the present application;

[0031] Figure 3 for Figure 2 Schematic diagram of the camera bracket from above;

[0032] Figure 4 for Figure 3 The cross-sectional view of the middle camera bracket along line AA;

[0033] Figure 5 for Figure 4 Enlarged view of part B;

[0034] Figure 6 This is a three-dimensional schematic diagram of another camera bracket proposed in an embodiment of the present application;

[0035] Figure 7 A three-dimensional schematic diagram of a camera body proposed in an embodiment of the present application;

[0036] Figure 8 This is a structural diagram of a full-scenario retail contactless AI self-service checkout system proposed in an embodiment of the present application.

[0037] In the figure: 1. Camera body; 11. Spherical camera; 12. Third connecting seat; 2. Camera bracket; 21. First connecting seat; 22. Second connecting seat; 23. Angle adjustment structure; 231. Sliding cylinder; 232. Sliding shell; 233. Elastic member; 234. Positioning column; 235. Positioning groove; 236. First connecting block; 237. Fastening bolt; 238. Second connecting block. DETAILED DESCRIPTION

[0038] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0039] It should be noted that, in the description of this application, the terms "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating the orientation or position relationship, are based on the orientation or position relationship shown in the accompanying drawings. They are only for the convenience of describing this application and simplifying the description. They do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation. Therefore, they cannot be understood as a limitation on this application.

[0040] Furthermore, it should be understood that for the sake of ease of description, the sizes of the various components shown in the drawings are not drawn according to actual proportions. For example, the thickness or width of certain layers may be exaggerated relative to other layers.

[0041] It should be noted that like numbers and letters represent similar items in the following figures, so once an item is defined or described in one figure, it will not need to be further discussed and described in detail in the description of the subsequent figures.

[0042] To address the technical issue of the inconvenience of existing self-service checkout systems, as discussed in the background art, this application proposes a full-scenario AI-powered self-service checkout system for retail, applicable to smart stores. In this embodiment, the smart store includes a merchandise display area, a consumer activity area, an exit area, and an entrance area; the merchandise display area includes shelves, which are spaced apart; and the shelves spaced apart form the consumer activity area.

[0043] It should be noted that the entrance area is used for consumers to enter the smart store, and the exit area is used for consumers to leave the smart store. In this embodiment, shelves are a general term for tools used to display goods. For example, in the application scenario of a snack shop, shelves can be snack racks for displaying snacks; in the application scenario of a clothing store, shelves can be clothing racks for hanging clothes; in the application scenario of a tobacco and alcohol store, shelves can be counters for displaying goods, etc.

[0044] Specifically, such as Figure 8As shown, the self-service checkout system includes a shelf group arranged in a smart store, at least one first camera 110 and at least one second camera 120, the shelf group includes a plurality of shelves arranged at intervals, and each shelf is provided with at least one first camera 110 and at least one second camera 120; the first camera 110 is arranged in the middle of the middle layer of the commodity display of the corresponding shelf, so as to shoot the commodities on the opposite shelf, and the shooting range of each first camera 110 at least covers the commodities displayed on the shelf; the second camera 120 is arranged at the top end of the bracket of the corresponding shelf, so as to shoot the interval area between the corresponding shelves (that is, the consumer action area), the distance between adjacent second cameras 120 is less than the preset distance so that there is an overlapping area in the camera range, and the shooting range of each second camera 120 can completely cover the interval area of ​​the shelf; the server 130, each first camera 110 and the second camera 120 are communicatively connected to the server 130.

[0045] In this embodiment, the first camera 110 is used to capture at least a video of the consumer's purchased goods, and the second camera 120 is used to capture at least a video of the consumer's face. The captured video of the purchased goods and the consumer's face are then used to identify the consumer's identity information and the purchase price, thereby enabling seamless self-service checkout.

[0046] It should be noted that in order to achieve contactless self-service checkout, in the embodiments of this application, the self-service checkout system also needs to include a reader 140. Specifically, the server 130 is used to obtain the consumer's facial feature data based on the consumer's facial video; and to obtain the product feature data of the products purchased by the consumer based on the video of the products purchased by the consumer. The reader 140 is used to obtain the consumer's identity information based on the consumer's facial feature data; and to obtain the product price data based on the product feature data. The server 130 is also used to obtain the consumer's consumption amount data based on the price data of each product.

[0047] It should be noted that in this embodiment, each first camera 110 and each second camera 120 transmits captured consumer image data and product image data to the server via a communication connection; the server 130 obtains the consumer's identity information and the consumer's spending amount data from the consumer image data and product image data. It should be noted that the model deployed in server 130 to obtain consumer identity information based on consumer image data and to obtain consumer spending amount data based on product image data is a mature technology and will not be described in detail here.

[0048] It's important to note that this AI-powered, seamless self-checkout system for all retail scenarios automatically identifies consumers' identities and purchase amounts during their purchases. Compared to existing self-checkout systems that require manual checkout, this system is more convenient and can save time during the self-checkout process.

[0049] In the embodiment of the present application, in order to clearly capture the consumer's facial video, the second camera 120 can be installed in a location that is easy to capture the consumer's facial video, such as the entrance of the smart store or the ceiling of the corridor. In the embodiment of the present application, in order to clearly capture the consumer's purchased product video, the first camera 110 can be installed in a location that is easy to capture the consumer's purchased product video, such as the shelf or the ceiling.

[0050] In order to facilitate consumers to pay, the AI ​​self-service settlement system for realizing full-scene retail senseless payment can also include a mobile payment device 150. The mobile payment device 150 is at least used to receive the payment amount data of the consumer, and the mobile payment device 150 is set in the exit area.

[0051] In the embodiments of the present application, there is no limitation on the mobile payment device 150. For example, the mobile payment device 150 may be a multi-function terminal reader (Point of Sales, POS), or the mobile payment device may be a settlement device (e.g., a mobile phone or tablet computer) with a built-in payment application and an Internet payment function.

[0052] In order to further save time during the self-service checkout process, in an embodiment of the present application, the full-scene retail contactless AI self-service checkout system can also be combined with various payment applications to realize face-swiping payment or automatic payment when leaving the store.

[0053] In order to avoid consumers not paying or paying incorrectly after purchasing goods. In one embodiment of the present application, the full-scene retail senseless AI self-service settlement system may also include an alarm. The alarm is electrically connected to the mobile payment device 150. The alarm is at least used to issue an alarm if the payment amount data received by the mobile payment device is inconsistent with the consumption amount data. The alarm can be set at any location in the smart store. In order to facilitate consumers to obtain alarm information about payment errors, the alarm can be set at the exit area. There is no restriction on the type of alarm. For example, the alarm can be a buzzer or an audible and visual alarm.

[0054] To avoid incorrect calculation of the consumer's payment amount data, in one embodiment of the present application, the acquisition of the consumer's payment amount data based on the price data of each product includes: if the consumer picks up a target product and does not put it down, then updating the consumer's payment amount data based on the price data of the target product. In other words, if a consumer picks up a target product and the camera captures the consumer putting it down again, the price of the target product should not be calculated into the consumer's payment amount, and the consumer's payment amount data should not be updated based on the price data of the target product.

[0055] It should be noted that in order to clearly record whether a consumer has placed down a target item, in the embodiments of the present application, the first camera 110 may be a camera with facial tracking capabilities. The first camera 110 tracks the consumer in real time based on their facial features to accurately identify which items they have taken. It should be noted that cameras with facial tracking capabilities are mature technology and will not be elaborated upon here.

[0056] In another embodiment of the present application, in order to avoid errors in calculating the price of goods, an exit area can also be set up, and the first camera 110 identifies the characteristics of the goods in the hands of consumers in the exit area, and then calculates the consumption amount of the consumer based on these product characteristics.

[0057] In an embodiment of the present application, password-free payment can be formed in the exit area. If the consumer enters the exit area, it is assumed that the consumer has completed the purchase. The self-service checkout system can realize password-free payment based on the consumer's consumption amount, further saving settlement time.

[0058] In the embodiments of the present application, there is no restriction on the camera used in the full-scene retail senseless AI self-service checkout system. For example, it can be any common camera on the market that can shoot video, and of course, it can also be a camera based on AI visual recognition on the market. It is easy to understand that the camera based on AI visual recognition can obtain object feature data in the video based on the video analysis taken by itself (for example, the facial feature data of the consumer or the product feature data mentioned above). It is a mature technology and will not be described in detail here.

[0059] It should be clear that the visual recognition technology of artificial intelligence mainly includes three links: the collection and transmission of front-end video information, the middle video detection, and the back-end analysis and processing. Video recognition requires the front-end video acquisition camera to provide a clear and stable video signal. The quality of the video signal will directly affect the effect of video recognition. In the application scenario of self-service checkout, in order to stabilize the video signal, it is generally necessary to fix the camera to the target angle, and then collect product information or consumer information, etc. In the existing technology, the angle of the camera is usually adjusted by a pan-tilt head, but in the application scenario of self-service checkout, there is basically no need to adjust the angle of the camera after the camera angle is fixed. In other words, in the application scenario of self-service checkout, if a pan-tilt head is used to adjust the angle of the camera, not only is the cost high, but the long-term idleness of the pan-tilt head will cause a waste of resources.

[0060] In order to reduce the cost of using the camera in the self-service checkout system of this embodiment, the present application proposes a camera, which includes a camera body 1 and a camera bracket 2. Figure 1 As shown, the camera body 1 is used to collect video information; the camera bracket 2 is used to adjust the angle of the camera body 1 after installation. Specifically, in this embodiment, the camera bracket 2 includes an angle adjustment structure 23, a first connecting seat 21 and a second connecting seat 22. Figure 2 and Figure 3 As shown, the first connecting seat 21 is used to connect to the camera fixture, and the second connecting seat 22 is used to connect to the camera body 1. The angle adjustment structure 23 is provided between the first connecting seat 21 and the second connecting seat 22 for adjusting the angle between the first connecting seat 21 and the second connecting seat 22.

[0061] It should be noted that the angle adjustment structure 23 can adjust the angle between the first connecting base 21 and the second connecting base 22, that is, it can adjust the shooting angle of the camera body 1. In the embodiment of the present application, the camera fixture can be any object that can be connected to the first connecting base 21. For example, the camera fixture can be a ceiling, a building pillar, a door head, etc., and no further details are given here.

[0062] In the embodiments of the present application, the angle adjustment structure 23 can be any structure capable of adjusting the angle between the first connecting seat 21 and the second connecting seat 22. For example, in one embodiment of the present application, the angle adjustment structure 23 can be a ball joint. It should be noted that a ball joint uses the friction generated between the inner and outer ball joints to maintain the camera body 1 at the target angle. If the weight of the camera body 1 itself is greater than the friction generated between the inner and outer ball joints, the camera body 1 will have difficulty maintaining the target angle for a long time.

[0063] In order to enable the camera body 1 to maintain the target angle for a long time, in one embodiment of the present application, the angle adjustment structure 23 includes a first connecting block 236, a second connecting block 238 and a fastening bolt 237. Figure 6 As shown, the first connecting block 236 is connected to the first connecting base 21. The second connecting block 238 is connected to the second connecting base 22. The fastening bolt 237 is used to fasten the first connecting block 236 and the second connecting block 238. During use, the friction force (hereinafter referred to as the first friction force) between the first connecting block 236 and the second connecting block 238 can be adjusted by the fastening bolt 237 based on the gravity of the camera body 1. The first friction force is greater than the gravity of the camera body 1, thereby allowing the camera body 1 to maintain the target angle for a long time.

[0064] As can be seen from the above, in the initial stage of the installation of the camera body 1, the angle of the camera body 1 needs to be frequently adjusted so that the camera body 1 can reach the target angle. The camera body 1 that reaches the target angle can clearly capture the video content that the user wants to capture (for example, a video of a consumer's face or a video of a consumer taking and placing goods on a shelf, etc.). Figure 6 The angle adjustment structure 23 shown in the figure requires that each time the angle of the camera body 1 is adjusted, the fastening bolt 237 must be loosened first, and then the fastening bolt 237 must be tightened again after the angle is adjusted until the camera body 1 reaches the target angle. Frequent loosening and tightening of the fastening bolt 237 makes the angle adjustment steps of the camera body 1 rather complicated.

[0065] In order to simplify the angle adjustment steps of the camera body 1 so that the camera body 1 can quickly reach the target angle, in one embodiment of the present application, the angle adjustment structure 23 includes a sliding housing 232, a sliding cylinder 231 and an elastic member 233. Figures 2 to 4 As shown, the sliding housing 232 is connected to the first connecting seat 21. The sliding cylinder 231 is connected to the second connecting seat 22. The sliding cylinder 231 and the sliding housing 232 form a sliding connection along a first direction, which is parallel to the axis of the sliding cylinder 231. The elastic member 233 is disposed inside the sliding housing 232 and stores elastic potential energy, which is used to generate a resistance force between the sliding cylinder 231 and the sliding housing 232 along the first direction.

[0066] It should be clear that if Figure 4 As shown, the elastic member 233 causes the sliding cylinder 231 and the sliding housing 232 to form a resistance force along the first direction, that is, the elastic member 233 causes the sliding cylinder 231 and the sliding housing 232 to form a large friction force, thereby enabling the camera body 1 to maintain the target angle for a long time. Figure 2 and Figure 3As shown, the angle of the camera body 1 can be adjusted by manually rotating the second connecting base 22. The angle adjustment structure 23 can simplify the angle adjustment steps of the camera body 1 and achieve rapid adjustment of the angle of the camera body 1.

[0067] In order to increase the friction force (hereinafter referred to as the second friction force) between the sliding cylinder 231 and the sliding housing 232, thereby preventing the second friction force from being less than the gravity of the camera body 1. In one embodiment of the present application, Figure 4 As shown, the outer diameter of the sliding cylinder 231 increases gradually along the first direction, and the first direction is from the sliding cylinder 231 to the sliding housing 232. The outer surface of the sliding cylinder 231 is provided with anti-skid grooves or anti-skid patterns. It should be understood that the magnitude of the second friction force is positively correlated with the contact area and friction coefficient between the sliding cylinder 231 and the sliding housing 232. Figure 4 As shown, the truncated cone-shaped sliding cylinder 231 can increase the contact area with the sliding housing 232 , and the outer surface of the sliding cylinder 231 is provided with anti-skid grooves or anti-skid patterns to increase the friction coefficient with the sliding housing 232 .

[0068] It should be understood that in order to prevent the second friction force from being less than the gravity of the camera body 1, so that the camera body 1 cannot maintain the target angle for a long time. Figure 4 and Figure 5 As shown, the sliding housing 232 is provided with at least one positioning post 234. The sliding cylinder 231 is provided with a plurality of positioning grooves 235, and the positioning post 234 is adapted to the positioning groove 235. In this embodiment, the adaptation of the positioning post 234 to the positioning groove 235 means that the positioning post 234 falls into the positioning groove 235, so that the sliding cylinder 231 and the sliding housing 232 cannot produce relative rotation. When in use, Figure 4 As shown, the sliding cylinder 231 is pressed radially to disengage the positioning post 234 from the positioning slot 235. Furthermore, the second connecting base 22 is rotated to position the camera body 1 at the target angle. Furthermore, the pressing force of the sliding cylinder 231 is released, and under the elastic force of the elastic member 233, the positioning post 234 falls into the positioning slot 235 corresponding to the target angle. The arrangement of the positioning post 234 and the positioning slot 235 ensures that the camera body 1 can maintain the target angle for a long time, even if the second friction force is less than the weight of the camera body 1.

[0069] It is easy to understand that in another embodiment of the present application, the positioning post 234 can be provided on the sliding cylinder 231, and the positioning groove 235 can be provided on the sliding housing 232. That is, in this embodiment, the sliding cylinder 231 is provided with at least one positioning post 234, and the sliding housing 232 is provided with a plurality of positioning grooves 235, and the positioning post 234 is adapted to the positioning groove 235.

[0070] In the embodiment of the present application, there is no limitation on the camera body 1, that is, in the embodiment of the present application, the camera body 1 can be a camera of any shape and structure. For example, in the embodiment of the present application, the camera body 1 can be a spherical camera or a long strip camera. In one embodiment of the present application, Figure 7 As shown, the camera body 1 includes a spherical camera 11 and a third connecting socket 12. The spherical camera 11 is arranged on the third connecting socket 12, and the third connecting socket 12 is used to connect with the second connecting socket 22.

[0071] It should be noted that the camera described above can be manually adjusted in angle by means of an angle adjustment mechanism. The simple structure of the angle adjustment mechanism reduces the manufacturing cost of the camera. Furthermore, the application of the camera in self-service checkout scenarios does not waste resources.

[0072] It should be clear that the embodiment of the AI ​​self-service settlement system for realizing full-scene retail without feeling proposed in this application can provide hardware support for more convenient self-service settlement. Based on the hardware support of this application, merchants can develop or deploy related software services on their own to realize AI self-service settlement without feeling in full-scene retail, so that the consumer’s identity information and the consumer’s consumption amount data at the time of purchase can be automatically identified during the consumer’s consumption process. Compared with the existing manual self-service settlement system, AI self-service settlement without feeling in full-scene retail is more convenient and can save time spent in the self-service settlement process. At the same time, the existing self-service settlement requires the affixation of electronic labels on the goods, and requires a large number of people to affix them, which results in an increase in personnel costs and finished goods consumables. The senseless self-service settlement does not require the affixation of electronic labels, so it can reduce settlement costs.

[0073] After introducing the AI ​​self-service checkout system for realizing full-scene retail without any sense of touch proposed in this application, the following describes a smart store that realizes AI self-service checkout for full-scene retail without any sense of touch proposed in this application. The smart store that realizes AI self-service checkout for full-scene retail without any sense of touch includes the AI ​​self-service checkout system for realizing full-scene retail without any sense of touch proposed in any of the above embodiments.

[0074] In order for the smart store to extract the characteristics of the products purchased by consumers based on the videos captured by the camera and calculate the consumer's consumption amount, the smart store also needs to set up a database that includes the product characteristics of all products in the smart store and the product prices that correspond to the product characteristics.

[0075] It should be clear that the smart store proposed in this application to realize full-scene retail without AI self-service settlement has many application scenarios. For example, the smart store can be a breakfast shop, a clothing store or a commodity supermarket. In the application scenario of the breakfast shop, in order to enable the AI ​​to accurately calculate the price of the commodity based on the characteristics of the commodity, the solid breakfast can be made into the corresponding shape. For example, the buns are made into triangles, circles or squares according to the price. In the application scenario of the clothing store, in order to enable the AI ​​to accurately calculate the price of the commodity based on the characteristics of the commodity, clothes of the same price can be placed in the same area. In the application scenario of the commodity supermarket, in order to enable the AI ​​to accurately calculate the price of the commodity based on the characteristics of the commodity, labels of different colors can be affixed to the commodity. Each color of label corresponds to a commodity price.

[0076] Although the embodiments of the present application have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and variations may be made to these embodiments without departing from the principles and spirit of the present application, and the scope of the present application is defined by the appended claims and their equivalents.

Claims

1. A full-scenario retail non-sensing AI self-service checkout system, applied to smart stores, characterized by: The self-service checkout system includes a shelf group, at least one first camera and at least one second camera, wherein the shelf group includes a plurality of shelves arranged at intervals, and each shelf is provided with at least one first camera and at least one second camera; The first cameras are arranged in the middle of the middle layer of the corresponding shelf so as to capture the commodities on the opposite shelf. The capturing range of each first camera at least covers the commodities displayed on the shelf. The second cameras are arranged at the top ends of the brackets corresponding to the shelves so as to capture the spaces between the shelves. The spacing between adjacent second cameras is less than a preset distance so that the camera ranges overlap, and the camera ranges of the second cameras can completely cover the spaces between the shelves. The server, each of the first camera and the second camera is communicatively connected to the server.

2. The AI ​​self-service checkout system for achieving seamless retail in all scenarios according to claim 1 is characterized in that: The smart store includes an exit area; the self-service checkout system also includes a mobile payment device, which is arranged in the exit area and is communicatively connected to the server; the mobile payment device includes a multi-function terminal reader or a settlement device with an Internet payment function and a built-in payment application; the settlement device includes a mobile phone or a tablet computer.

3. The AI ​​self-service checkout system for achieving seamless retail in all scenarios according to claim 2 is characterized in that: It also includes an alarm, which is arranged in the exit area; the alarm is electrically connected to the server; the alarm is at least used to issue an alarm if the payment amount data of the consumer received by the mobile payment device is inconsistent with the consumption amount data of the consumer; the alarm includes a buzzer or an audible and visual alarm.

4. The AI ​​self-service checkout system for achieving seamless retail in all scenarios according to claim 2 is characterized in that: Each first camera and each second camera transmits the acquired consumer image data and product image data to the server through a communication connection; the server obtains the consumer's identity information and the consumer's consumption amount data through the consumer's image data and the product image data.

5. The AI ​​self-service checkout system for realizing full-scenario retail without any feeling according to any one of claims 1 to 4, characterized in that: The first camera or the second camera comprises: a camera body (1) and a camera bracket (2); the camera body (1) is used to collect video information; the camera bracket (2) is used to adjust the angle of the camera body (1) after installation; the camera bracket (2) comprises: A first connecting seat (21) and a second connecting seat (22); the first connecting seat (21) is used to connect to a camera fixture; the second connecting seat (22) is used to connect to the camera body (1); An angle adjustment structure (23) is provided between the first connecting seat (21) and the second connecting seat (22) and is used to adjust the angle between the first connecting seat (21) and the second connecting seat (22).

6. The AI ​​self-service checkout system for achieving seamless retail in all scenarios according to claim 5 is characterized in that: The angle adjustment structure (23) comprises: A first connecting block (236) connected to the first connecting seat (21); A second connecting block (238) connected to the second connecting seat (22); A fastening bolt (237) is used for fastening and connecting the first connecting block (236) and the second connecting block (238).

7. The AI ​​self-service checkout system for achieving seamless retail in all scenarios according to claim 5 is characterized in that: The angle adjustment structure (23) comprises: A sliding housing (232) connected to the first connecting seat (21); A sliding cylinder (231) is connected to the second connecting seat (22); the sliding cylinder (231) and the sliding housing (232) form a sliding connection along a first direction, and the first direction is parallel to the axis of the sliding cylinder (231); An elastic member (233) is arranged inside the sliding housing (232); and the elastic member (233) stores elastic potential energy, and the elastic potential energy is used to enable the sliding cylinder (231) and the sliding housing (232) to form a resistance force along a first direction.

8. The AI ​​self-service checkout system for achieving seamless retail in all scenarios according to claim 7 is characterized in that: The sliding housing (232) is provided with at least one positioning column (234), the sliding cylinder (231) is provided with a plurality of positioning grooves (235), and the positioning column (234) is adapted to the positioning grooves (235); or, the sliding cylinder (231) is provided with at least one positioning column (234), the sliding housing (232) is provided with a plurality of positioning grooves (235), and the positioning column (234) is adapted to the positioning grooves (235).

9. The AI ​​self-service checkout system for achieving seamless retail in all scenarios according to claim 8 is characterized in that: The outer diameter of the sliding cylinder (231) increases gradually along a first direction; the first direction is directed from the sliding cylinder (231) to the sliding housing (232); and the outer surface of the sliding cylinder (231) is provided with anti-slip grooves or anti-slip patterns.

10. A smart store that realizes AI-powered self-service checkout in all retail scenarios, characterized by: Including the full-scenario retail contactless AI self-service checkout system as described in any one of claims 1 to 9.

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