Packaged product scanning

Abstract

Examples herein describe a product scanning system for identifying a packaged item in an image. The product scanning system accesses the image frame, detects a packaged item in the image frame, generates textual feature data by extracting textual features from the packaged item in the image frame, generates image feature data by extracting image features from the packaged item in the image frame, and transmits the textual feature data to the product scanning system. The method includes generating textual feature data, generating a first ordered set of query results using the generated textual feature data, generating a second ordered set of query results using the generated image feature data, generating a final ordered set of query results, and presenting a subset of the final ordered set of query results on a graphical user interface of the computing device.

Description

Cross-application of related applications

[0001] This application claims the benefit of priority to U.S. Patent Application Serial No. 18 / 460,393, filed on September 1, 2023, which is incorporated herein by reference in its entirety. Technical Field

[0002] The examples in this paper generally involve object detection. More specifically, but not as a limitation, the systems and methods described in this paper describe a system for scanning packaged products. Background Technology

[0003] Object detection is a well-known image processing task that can produce interesting results. From recognizing faces to vehicles to other semantic objects, object detection algorithms can be used in a wide variety of applications. Attached Figure Description

[0004] In the accompanying drawings (which are not necessarily drawn to scale), similar reference numerals can describe similar parts in different views. To facilitate identification of any discussion of a particular element or action, one or more of the highest-order digits in the reference numerals indicate the drawing number in which the element was first introduced. Some non-limiting examples are shown in the accompanying drawings:

[0005] Figure 1 It is a diagrammatic representation of a networked environment in which the content of this disclosure can be deployed, based on some examples.

[0006] Figure 2 It is a graphical representation of a messaging system with both client-side and server-side functionalities, based on some examples.

[0007] Figure 3 It is a graphical representation based on examples such as data structures maintained in a database.

[0008] Figure 4 It is a graphical representation based on some example messages.

[0009] Figure 5 This is a flowchart of a process for scanning packaged products, based on some examples.

[0010] Figures 6A to 6B This is an illustration of an example user interface for a computing device that uses a product scanning system to scan packaged items, based on some examples.

[0011] Figure 7 The system is shown in some examples of wearable head devices.

[0012] Figure 8It is a graphical representation of a machine in the form of a computer system, based on some examples, within which a set of instructions can be executed to cause the machine to perform any or more of the methods discussed herein.

[0013] Figure 9 It is a block diagram showing a software architecture in which examples can be implemented. Detailed Implementation

[0014] This article describes a product scanning system. The product scanning system can identify packaged items in a camera's view and search an item catalog to display query results matching the identified packaged items. Packaged items can be beauty items, cosmetic items, or any suitable product with packaging.

[0015] Previous scanning systems typically used image features to identify similar objects. While image features are important data points, these previous systems can be improved by using a combination of image and text features from the packaged items to more accurately identify similar objects.

[0016] The product scanning system can be triggered by a user of the computing device. Once triggered, the product scanning system searches for packaged products in the view of the camera device. After the packaged product is identified, the product scanning system extracts textual and image features from the image of the packaged product. The product scanning system can use the extracted textual features to perform a text-based search to match the packaged product with a catalog of product text, and can use the extracted image features to perform an image-based search to match the packaged product with a catalog of product images. The text-based search can generate a first list of results, and the image-based search can generate a second list of results. The first and second list of results can be combined, and the top-ranked results are returned to the user. The results can be displayed as scrollable user interface (UI) elements on the computing device.

[0017] After receiving the top-ranked results, users have the option to select one of the scrollable UI elements and view more information about the product. Users can also purchase one or more products displayed in the selected UI element. More details about the product scanning system are provided below.

[0018] Networked computing environment

[0019] Figure 1This is a block diagram illustrating an example interactive system 100 for facilitating interactions on a network, such as exchanging text messages, making text, audio, and video calls, or playing games. Interactive system 100 includes multiple user systems 102, each of which hosts multiple applications including interactive client 104 and other applications 106. Each interactive client 104 is communicatively coupled to other instances of interactive client 104 (e.g., hosted on corresponding other user systems 102), interactive server system 110, and third-party server 112 via one or more communication networks including network 108 (e.g., the Internet). Interactive client 104 may also communicate with locally hosted applications 106 using application programming interfaces (APIs).

[0020] Each user system 102 may include multiple user devices, such as mobile device 114, head-mounted wearable device 116, and computer client device 118, which are communicatively connected to exchange data and messages.

[0021] Interactive client 104 interacts with other interactive clients 104 and with interactive server system 110 via network 108. Data exchanged between interactive clients 104 (e.g., interaction 120) and between interactive client 104 and interactive server system 110 includes functions (e.g., commands for invoking functions) and payload data (e.g., text, audio, video, or other multimedia data).

[0022] Interactive server system 110 provides server-side functionality to interactive client 104 via network 108. While some functions of interactive system 100 are described herein as being performed by interactive client 104 or interactive server system 110, the location of certain functions—whether within interactive client 104 or interactive server system 110—may be a design choice. For example, it might be technically preferred that certain technologies and functions are initially deployed within interactive server system 110, but later migrated to interactive client 104, where user system 102 has sufficient processing power.

[0023] The interactive server system 110 supports various services and operations provided to the interactive client 104. Such operations include sending data to and receiving data from the interactive client 104, and processing data generated by the interactive client 104. This data may include message content, client device information, geolocation information, media enhancements and overlays, message content persistence conditions, entity relationship information, and live event information. Data exchange within the interactive system 100 is initiated and controlled via functions available through the user interface (UI) of the interactive client 104.

[0024] Specifically, the focus now shifts to interactive server system 110. Application Programming Interface (API) server 122 is coupled to interactive server 124 and provides it with a programming interface, making the functionality of interactive server 124 accessible to interactive client 104, other applications 106, and third-party server 112. Interactive server 124 is communicatively coupled to database server 126, thereby facilitating access to database 128, which stores data associated with the interactions processed by interactive server 124. Similarly, web server 130 is coupled to interactive server 124 and provides a web-based interface to interactive server 124. For this purpose, web server 130 handles incoming network requests via Hypertext Transfer Protocol (HTTP) and several other related protocols.

[0025] Application Programming Interface (API) server 122 receives and sends interactive data (e.g., command and message payloads) between interactive server 124 and user system 102 (as well as interactive client 104 and other applications 106) and third-party server 112. Specifically, API server 122 provides a set of interfaces (e.g., routines and protocols) that interactive client 104 and other applications 106 can call or query to invoke the functionality of interactive server 124. Application Programming Interface (API) server 122 exposes various functions supported by interaction server 124, including account registration; login functionality; sending interactive data from one interaction client 104 to another interaction client 104 via interaction server 124; transferring media files (e.g., images or videos) from interaction client 104 to interaction server 124; setting media data sets (e.g., stories); retrieving the friend list of users in user system 102; retrieving messages and content; adding entities (e.g., friends) to and deleting entities (e.g., friends) from entity graphs (e.g., entity graph 310); the position of friends in the entity graph; and opening (e.g., application events related to interaction client 104).

[0026] Interactive server 124 hosts multiple systems and subsystems, as shown below. Figure 2 Describe it.

[0027] Application of links

[0028] Returning to interactive client 104, the features and functionality of the external resource (e.g., a linked application 106 or applet) are made available to the user via the interface of interactive client 104. In this context, "external" refers to the fact that application 106 or applet is outside of interactive client 104. While external resources are typically provided by third parties, they can also be provided by the creator or provider of interactive client 104. Interactive client 104 receives the user's selection of options to launch or access the features of such external resources. The external resource can be application 106 installed on user system 102 (e.g., a "local app (application)"), or a smaller version (e.g., a "app") of an application hosted on user system 102 or hosted at a location remote from user system 102 (e.g., on a third-party server 112). A smaller version of an application includes a subset of the features and functionality of the application (e.g., a full-scale, local version of the application) and is implemented using markup language documentation. In some examples, a smaller version of an application (e.g., a "app") is a web-based markup language version of the application and is embedded in interactive client 104. In addition to using markup language documentation (e.g., In addition to files, mini-programs can incorporate scripting languages ​​(e.g., ...). (files or .json files) and stylesheets (e.g., document).

[0029] In response to receiving a user's selection of an option to launch or access an external resource, interactive client 104 determines whether the selected external resource is a web-based external resource or a locally installed application 106. In some cases, application 106, locally installed on user system 102, can be launched independently of and separately from interactive client 104, such as by selecting the icon corresponding to application 106 on the home screen of user system 102. Such a small version of the application can be launched or accessed via interactive client 104, and in some examples, no part of the small version of the application can be accessed outside of interactive client 104, or only a limited portion of the small version of the application can be accessed outside of interactive client 104. A small version of the application can be launched by interactive client 104 receiving and processing markup language documents associated with the small version from, for example, a third-party server 112.

[0030] In response to determining that the external resource is a locally installed application 106, the interactive client 104 instructs the user system 102 to launch the external resource by executing locally stored code corresponding to the external resource. In response to determining that the external resource is a web-based resource, the interactive client 104 communicates with a third-party server 112 (e.g.) to obtain a markup language document corresponding to the selected external resource. The interactive client 104 then processes the obtained markup language document to present the web-based external resource within the user interface of the interactive client 104.

[0031] Interactive client 104 can notify users of user system 102 or other users (e.g., "friends") associated with such users of one or more external resources. For example, interactive client 104 can provide participants in a conversation (e.g., a chat session) within interactive client 104 with notifications related to the current or recent use of external resources by one or more members of a user group. One or more users can be invited to join an active external resource or to activate (in a friend group) a recently used but currently inactive external resource. External resources can provide participants in the conversation (each using their respective interactive client 104) with the ability to share items, conditions, states, or locations within the external resource with one or more members of a user group during a chat session. Shared items can be interactive chat cards that chat members can use to interact with, for example, activate the corresponding external resource, view specific information within the external resource, or take a chat member to a specific location or state within the external resource. Within a given external resource, response messages can be sent to the user on interactive client 104. Based on the current context of the external resource, the external resource can optionally include different media items in the response.

[0032] Interactive client 104 can present a list of available external resources (e.g., application 106 or mini-program) to the user to launch or access a given external resource. This list can be presented in a context-sensitive menu. For example, the icons representing different applications 106 (or mini-programs) can vary based on how the user launches the menu (e.g., from a conversational interface or from a non-conversational interface).

[0033] System Architecture

[0034] Figure 2This is a block diagram illustrating further details of an interactive system 100 according to some examples. Specifically, the interactive system 100 is shown as including an interactive client 104 and an interactive server 124. The interactive system 100 comprises multiple subsystems supported on the client side by the interactive client 104 and on the server side by the interactive server 124. In some examples, these subsystems are implemented as microservices. A microservice subsystem (e.g., a microservice application) may have components that enable the microservice subsystem to operate independently and communicate with other services. Example components of a microservice subsystem may include:

[0035] Functional logic: Functional logic implements the functions of the microservice subsystem and represents the specific capabilities or functions provided by the microservice.

[0036] API Interface: Microservices can use lightweight protocols such as REST or messaging to communicate with each other through well-defined APIs or interfaces. API interfaces define the inputs and outputs of a microservice subsystem and how it interacts with other microservice subsystems within the interactive system 100.

[0037] Data storage: The microservice subsystem can be responsible for its own data storage, which can be in the form of a database, cache, or other storage components (e.g., using database server 126 and database 128). This allows the microservice subsystem to operate independently of other microservices in the interactive system 100.

[0038] Service discovery: Microservice subsystems can find and communicate with other microservice subsystems in the interacting system 100. The service discovery mechanism enables microservice subsystems to locate and communicate with other microservice subsystems in a scalable and efficient manner.

[0039] Monitoring and logging: Microservice subsystems may need to be monitored and logged to ensure availability and performance. Monitoring and logging mechanisms enable the tracking of the health and performance of microservice subsystems.

[0040] In some examples, the interactive system 100 may employ a monolithic architecture, a service-oriented architecture (SOA), a function-as-a-service (FaaS) architecture, or a modular architecture:

[0041] The example subsystem is discussed below.

[0042] The image processing system 202 provides various functions that enable users to capture and enhance (e.g., annotate or otherwise modify or edit) media content associated with a message.

[0043] The camera device system 204 includes (e.g., in a camera device application) control software that (e.g., directly or via an operating system) interacts with and controls the hardware camera device hardware of the user system 102 to modify and enhance real-time images captured and displayed via the interactive client 104.

[0044] Enhancement system 206 provides functionality related to the generation and distribution of enhancements (e.g., media overlays) for images captured in real-time by the camera device of user system 102 or retrieved from the memory of user system 102. For example, enhancement system 206 operatively selects, presents, and displays media overlays (e.g., image filters or image lenses) for interactive client 104 to enhance real-time images received via camera device system 204 or stored images retrieved from memory 702 of user system 102. These enhancements are selected and presented to the user of interactive client 104 by enhancement system 206 based on inputs and data such as:

[0045] The geographic location of user system 102; and

[0046] User entity relationship information of users in user system 102.

[0047] Enhancements may include audio and visual content and visual effects. Examples of audio and visual content include images, text, logos, animations, and sound effects. Examples of visual effects include color overlays. Audio and visual content or visual effects may be applied to media content items (e.g., photos or videos) at user system 102 for transmission in messages, or to video content such as video content streams or feeds sent from interactive client 104. Therefore, image processing system 202 can interact with and support various subsystems of communication system 208, such as messaging system 210 and video communication system 212.

[0048] Media overlays may include text or image data that can be superimposed on photographs taken by user system 102 or video streams produced by user system 102. In some examples, media overlays may be location overlays (e.g., Venice Beach), names of live events, or names of businesses (e.g., beach cafes). In other examples, image processing system 202 uses the geolocation of user system 102 to identify media overlays that include the names of businesses located at the geolocation of user system 102. Media overlays may include additional tags associated with businesses. Media overlays may be stored in database 128 and accessed through database server 126.

[0049] Image processing system 202 provides a user-based publishing platform that allows users to select a geolocation on a map and upload content associated with that geolocation. Users can also specify which media overlays should be provided to other users. Image processing system 202 generates a media overlay that includes the uploaded content and associates the uploaded content with the selected geolocation.

[0050] The augmented creation system 214 supports augmented reality developer platforms and includes applications for content creators (e.g., artists and developers) to create and publish interactive clients 104, such as augmented reality experiences. The augmented creation system 214 provides content creators with a library of built-in features and tools, including, for example, custom shaders, tracking technologies, and templates.

[0051] In some examples, enhancement creation system 214 provides a merchant-based publishing platform that enables merchants to select specific enhancements associated with geolocation via a bidding process. For example, enhancement creation system 214 associates the media overlay of the highest bidder with a corresponding geolocation for a predefined amount of time.

[0052] Communication system 208 is responsible for enabling and processing various forms of communication and interaction within interactive system 100, and includes messaging system 210, audio communication system 216, and video communication system 212. Messaging system 210 is responsible for enabling temporary or time-limited access to content by interactive client 104. Messaging system 210 includes (e.g., in a short-lived timer system) multiple timers that selectively enable access (e.g., for presentation and display) of messages and associated content via interactive client 104 based on duration and display parameters associated with a message or set of messages (e.g., a story). Audio communication system 216 enables and supports audio communication (e.g., real-time audio chat) between multiple interactive clients 104. Similarly, video communication system 212 enables and supports video communication (e.g., real-time video chat) between multiple interactive clients 104.

[0053] User management system 218 is operationally responsible for managing user data and profiles, and maintaining entity information about users of interactive system 100 and the relationships between users (e.g., stored in entity table 308, entity diagram 310, and profile data 302).

[0054] The collection management system 220 is operationally responsible for managing collections or sets of media (e.g., collections of text, images, video, and audio data). Collections of content (e.g., messages, including images, videos, text, and audio) can be organized into "event galleries" or "event stories." Such collections can be made available for a specified time period (e.g., the duration of the event to which the content relates). For example, content related to a concert can be available as a "story" for the duration of the concert. The collection management system 220 can also be responsible for publishing icons that notify the user interface of the interactive client 104 of the availability of specific collections. The collection management system 220 includes curation functions that enable collection managers to manage and curate specific content collections. For example, a curation interface enables event organizers to curate collections of content related to a specific event (e.g., removing inappropriate content or redundant messages). Additionally, the collection management system 220 employs machine vision (or image recognition technology) and content rules to automatically curate content collections. In some examples, users may be compensated for including user-generated content in a collection. In such cases, the collection management system 220 operates to automatically pay such users for using their content.

[0055] Map system 222 provides various geographic location (e.g., geolocation) functions and supports the presentation of map-based media content and messages by interactive client 104. For example, map system 222 enables the display (e.g., stored in profile data 302) of user icons or avatars on a map to indicate the current or past locations of the user's "friends" against a map background, as well as media content generated by these friends (e.g., a collection of messages including photos and videos). For example, on the map interface of interactive client 104, messages posted by a user from a specific geographic location to interactive system 100 can be displayed to the user's "friends" at that specific location against a map background. Users can also share their location and status information with other users of interactive system 100 via interactive client 104 (e.g., using an appropriate status avatar), where the location and status information is similarly displayed to selected users against a map interface background of interactive client 104.

[0056] Game system 224 provides various game functions within the context of interactive client 104. Interactive client 104 provides a game interface that displays a list of available games that can be launched by a user within the context of interactive client 104 and played with other users of interactive system 100. Interactive system 100 also enables specific users to invite other users to participate in specific games by sending invitations from interactive client 104. Interactive client 104 also supports sending and receiving voice, video, and text messages (e.g., chat) within the context of playing games, provides leaderboards for games, and supports providing in-game rewards (e.g., game currency and items).

[0057] External resource system 226 provides interactive client 104 with an interface to communicate with remote servers (e.g., third-party server 112) to launch or access external resources (i.e., applications or applets). Each third-party server 112 hosts applications or smaller versions of applications (e.g., game applications, utility applications, payment applications, or ride-sharing applications) based on markup languages ​​(e.g., HTML5). Interactive client 104 can launch web-based resources (e.g., applications) by accessing HTML5 files from the third-party server 112 associated with the web-based resource. The application hosted by the third-party server 112 is programmed in JavaScript using a software development kit (SDK) provided by interactive server 124. The SDK includes application programming interfaces (APIs) with functions that can be called or invoked by the web-based application. Interactive server 124 hosts a JavaScript library that provides access to specific user data of interactive client 104 to a given external resource. HTML5 is an example of a technology used for programming games, but applications and resources programmed using other technologies can be used.

[0058] To integrate the SDK's functionality into the web-based resource, the third-party server 112 downloads the SDK from the interactive server 124, or the third-party server 112 otherwise receives the SDK. Once downloaded or received, the SDK is included as part of the application code of the web-based external resource. The code of the web-based resource can then call or invoke certain functions of the SDK to integrate the features of the interactive client 104 into the web-based resource.

[0059] The SDK stored on the interactive server system 110 effectively bridges the gap between external resources (e.g., application 106 or applet) and the interactive client 104. This provides users with a seamless experience communicating with other users on the interactive client 104 while preserving the look and feel of the interactive client 104. To bridge the communication between the external resources and the interactive client 104, the SDK facilitates communication between the third-party server 112 and the interactive client 104. A bridging script running on the user system 102 establishes two unidirectional communication channels between the external resources and the interactive client 104. Messages are sent asynchronously between the external resources and the interactive client 104 via these communication channels. Each SDK function invocation is sent as a message and a callback. Each SDK function is implemented by constructing a unique callback identifier and sending a message with that callback identifier.

[0060] By using the SDK, not all information from the interactive client 104 is shared with the third-party server 112. The SDK limits which information is shared based on the needs of the external resources. Each third-party server 112 provides the interactive server 124 with an HTML5 file corresponding to the web-based external resource. The interactive server 124 can add a visual representation (e.g., a box plot or other graphics) of the web-based external resource to the interactive client 104. Once the user selects the visual representation or instructs the interactive client 104 to access a feature of the web-based external resource through the interactive client 104's GUI, the interactive client 104 obtains the HTML5 file and instantiates the resource for accessing the feature of the web-based external resource.

[0061] Interactive client 104 presents a graphical user interface (GUI) for an external resource (e.g., a login page or title screen). During, before, or after presenting the login page or title screen, interactive client 104 determines whether the initiated external resource has previously been authorized to access user data of interactive client 104. In response to determining that the initiated external resource has previously been authorized to access user data of interactive client 104, interactive client 104 presents another GUI of the external resource, including its functionality and characteristics. In response to determining that the initiated external resource has not previously been authorized to access user data of interactive client 104, after displaying the login page or title screen of the external resource for a threshold time period (e.g., 3 seconds), interactive client 104 slides up a menu (e.g., animates the menu to appear from the bottom of the screen to the middle of the screen or other parts) to authorize the external resource to access user data. This menu identifies the type of user data that the external resource will be authorized to use. In response to receiving a user selection of the accept option, interactive client 104 adds the external resource to the list of authorized external resources and allows the external resource to access user data from interactive client 104. External resources are authorized by the interactive client 104 to access user data under the OAuth 2 framework.

[0062] Interactive client 104 controls the type of user data shared with external resources based on the type of authorized external resource. For example, it provides access to a first type of user data (e.g., a two-dimensional avatar of a user with or without different avatar characteristics) to external resources including full-scale applications (e.g., application 106). As another example, it provides access to a second type of user data (e.g., payment information, a user's two-dimensional avatar, a user's three-dimensional avatar, and avatars with various avatar characteristics) to external resources including smaller versions of the application (e.g., a web-based version of the application). Avatar characteristics include different ways of customizing the appearance and feel of the avatar (e.g., different poses, facial features, clothing, etc.).

[0063] The advertising system 228 enables third parties to purchase advertisements to be presented to end users via the interactive client 104, and also handles the delivery and presentation of these advertisements.

[0064] Artificial intelligence and machine learning system 230 provides various services to different subsystems within interaction system 100. For example, AI and machine learning system 230 operates in conjunction with image processing system 202 and camera device system 204 to analyze images and extract information such as objects, text, or faces. This information can then be used by image processing system 202 to enhance, filter, or manipulate images. AI and machine learning system 230 can be used by enhancement system 206 to generate enhanced content and augmented reality experiences, such as adding virtual objects or animations to real-world images. Communication system 208 and messaging system 210 can use AI and machine learning system 230 to analyze communication patterns and provide insights into how users interact with each other, as well as provide intelligent message classification and tagging, such as classifying messages based on sentiment or topic. AI and machine learning system 230 can also provide chatbot functionality for messaging interactions 120 between user systems 102 and between user systems 102 and interaction server system 110. The artificial intelligence and machine learning system 230 can also work with the audio communication system 216 to provide speech recognition and natural language processing capabilities, enabling users to interact with the interactive system 100 using voice commands.

[0065] Product scanning system 232 is operable to enable users to scan products in their real-world view and browse similar products via interactive client 104. Product scanning system 232 also enables the presentation of similar products on a graphical user interface (GUI).

[0066] Data Architecture

[0067] Figure 3 This is a schematic diagram illustrating a data structure 300 that can be stored in a database 304 of an interactive server system 110, according to certain examples. Although the contents of the database 304 are shown as including multiple tables, it should be understood that data can be stored in other types of data structures, such as object-oriented databases.

[0068] Database 304 includes message data stored in message table 306. For any given message, this message data includes at least message sender data, message receiver (or recipient) data, and a payload. See below for reference. Figure 3 Further details describe information that can be included in the message and within the message data stored in message table 306.

[0069] Entity table 308 stores entity data and (e.g., by reference) links to entity diagram 310 and profile data 302. Entities for which records are maintained in entity table 308 can include individuals, company entities, organizations, objects, locations, events, etc. Regardless of entity type, any entity whose data is stored in the interactive server system 110 can be an identified entity. Each entity is assigned a unique identifier and an entity type identifier (not shown).

[0070] Entity Graph 310 stores information about the relationships and associations between entities. As an example only, such relationships can be social, professional (e.g., working in a common company or organization), interest-based, or activity-based. Some relationships between entities can be one-way, such as an individual user subscribing to digital content (e.g., a newspaper or other digital media channel or brand) for a business or publishing user. Other relationships can be two-way, such as the "friendship" between the various users of Interactive System 100.

[0071] Certain licenses and relationships can be attached to each relationship, and also to each direction of the relationship. For example, a two-way relationship (e.g., a friend relationship between individual users) can include authorization for the posting of digital content items between the individual users, but certain restrictions or filters can be imposed on the posting of these digital content items (e.g., based on content characteristics, location data, or time of day data). Similarly, a subscription relationship between an individual user and a business user can impose varying degrees of restrictions on the posting of digital content from the business user to the individual user, and can significantly limit or prevent the posting of digital content from the individual user to the business user. As an example of an entity, a specific user can record certain restrictions in the record for that entity within entity table 308 (e.g., through privacy settings). Such privacy settings can be applied to all types of relationships in the context of the interaction system 100, or selectively applied to certain types of relationships.

[0072] Profile data 302 stores various types of profile data about a specific entity. Based on privacy settings specified by the specific entity, profile data 302 can be selectively used and presented to other users of the interaction system 100. In the case of an individual, profile data 302 includes, for example, a username, phone number, address, settings (e.g., notification and privacy settings), and an avatar representation (or a set of such avatar representations) selected by the user. The specific user can then selectively include one or more of these avatar representations within the content of messages transmitted via the interaction system 100 and on a map interface displayed to other users by the interaction client 104. The set of avatar representations may include “status avatars,” which present a graphical representation of a status or activity that the user can choose to convey at a specific time.

[0073] In the case that the entity is a group, in addition to the group name, members and various settings for the relevant group (e.g., notifications), the profile data 302 for the group may similarly include one or more avatars associated with the group.

[0074] Database 304 also stores enhancement data, such as overlays or filters, in enhancement table 312. Enhancement data is associated with and applied to videos (video data is stored in video table 314) and images (image data is stored in image table 316).

[0075] In some examples, filters are displayed as overlays on images or videos during presentation to the recipient user. Filters can be of various types, including user-selected filters from a set of filters presented to the sending user by the interactive client 104 while the sending user is composing a message. Other types of filters include geolocation filters (also known as geographic filters), which can be presented to the sending user based on geographic location. For example, geolocation filters specific to a nearby area or a particular location can be presented by the interactive client 104 within the user interface based on geolocation information determined by the Global Positioning System (GPS) unit of the user system 102.

[0076] Another type of filter is a data filter, which can be selectively presented to the sending user by the interactive client 104 based on other inputs or information collected by the user system 102 during the message creation process. Examples of data filters include the current temperature at a specific location, the sending user's current speed, the battery life of the user system 102, or the current time.

[0077] Other augmented data that can be stored in image table 316 includes augmented reality content items (e.g., corresponding to an application "lens" or augmented reality experience). Augmented reality content items can be real-time special effects and sounds that can be added to images or videos.

[0078] Collection table 318 stores data about collections of messages and associated image, video, or audio data, compiled into collections (e.g., stories or galleries). The creation of a specific collection can be initiated by a specific user (e.g., each user for whom records are maintained in entity table 308). A user can create a "personal story" in the form of a collection of content that has been created and sent / broadcast by that user. For this purpose, the user interface of interactive client 104 may include user-selectable icons that allow the sending user to add specific content to his or her personal story.

[0079] The collection can also constitute a "live story," which is a collection of content from multiple users created manually, automatically, or using a combination of manual and automatic techniques. For example, a "live story" can constitute a curated stream of user-submitted content from various locations and events. Users whose client devices have location services enabled and who are at a common location event at a specific time can be presented with the option to contribute content to a specific live story, for example, via the user interface of interactive client 104. Live stories can be identified to a user by interactive client 104 based on their location. The end result is a "live story" told from a collective perspective.

[0080] Another type of content collection is called a "location story," which allows users of user system 102 located in a specific geographic location (e.g., on a college or university campus) to contribute to a specific collection. In some examples, contributions to a location story may employ secondary authentication to verify that the end user belongs to a specific organization or other entity (e.g., is a student on a university campus).

[0081] As mentioned above, video table 314 stores video data, which in some examples is associated with messages for which records are maintained within message table 306. Similarly, image table 316 stores image data associated with messages whose message data is stored in entity table 308. Entity table 308 can associate various enhancements from enhancement table 312 with various images and videos stored in image table 316 and video table 314.

[0082] Database 304 also includes a catalog product text table 320 and a catalog product image table 322. The catalog product text table 320 stores text data associated with packaged products. The text data may include product metadata and text detected in images containing packaged product items. The detected text can be detected using an optical character recognition (OCR) model.

[0083] Catalog Product Image Table 322 stores image data associated with packaged products. For example, Catalog Product Image Table 322 stores visual embeddings describing content that includes images of packaged product items. In some examples, visual embeddings can be generated using a contrastive language-image pre-trained (CLIP) neural network.

[0084] Data communication architecture

[0085] Figure 4This is a schematic diagram illustrating the structure of message 400 according to some examples, generated by interactive client 104 for transmission to another interactive client 104 via interactive server 124. The content of a particular message 400 is used to populate message table 306 stored in database 304 accessible by interactive server 124. Similarly, the content of message 400 is stored in memory as "in-transit" or "in-flight" data for user system 102 or interactive server 124. Message 400 is shown as including the following example components:

[0086] Message Identifier 402: A unique identifier that identifies message 400.

[0087] Message text payload 404: The text to be generated by the user via the user interface of user system 102 and included in message 400.

[0088] Message image payload 406: Image data captured by the camera device component of user system 102 or retrieved from the memory component of user system 102 and included in message 400. The image data for the sent or received message 400 can be stored in image table 316.

[0089] Message video payload 408: Video data captured by the camera device component or retrieved from the memory component of the user system 102 and included in message 400. The video data for the sent or received message 400 can be stored in image table 316.

[0090] Message audio payload 410: Audio data captured by the microphone or retrieved from the memory component of the user system 102 and included in message 400.

[0091] Message enhancement data 412: Enhancement data (e.g., filters, stickers, or other annotations or enhancements) representing enhancements to be applied to the message image payload 406, message video payload 408, or message audio payload 410 of message 400. Enhancement data for the sent or received message 400 can be stored in enhancement table 312.

[0092] Message duration parameter 414: A parameter value, in seconds, indicating the amount of time that the content of the message (e.g., message image payload 406, message video payload 408, message audio payload 410) should be presented to the user via the interactive client 104 or made accessible to the user.

[0093] Message geolocation parameter 416: Geolocation data (e.g., latitude and longitude coordinates) associated with the message's content payload. Multiple message geolocation parameter 416 values ​​may be included in the payload, each of which is associated with a content item included in the content (e.g., a specific image within the message image payload 406 or a specific video within the message video payload 408).

[0094] Message Story Identifier 418: An identifier value that identifies one or more sets of content (e.g., "Stories" identified in set table 318) associated with a specific content item in the message image payload 406 of message 400. For example, the identifier value can be used to associate multiple images within the message image payload 406 with multiple sets of content, respectively.

[0095] Message Tag 420: Each message 400 can be labeled with multiple tags, each of which indicates the subject of the content included in the message payload. For example, in the case where a specific image depicts an animal (e.g., a lion) is included in the message image payload 406, a tag value can be included within the message tag 420 indicating the relevant animal. Tag values ​​can be manually generated based on user input, or can be automatically generated using, for example, image recognition.

[0096] Message sender identifier 422: An identifier (e.g., message sending system identifier, email address, or device identifier) ​​indicating the user of the user system 102 on which message 400 is generated and from which message 400 is sent.

[0097] Message receiver identifier 424: An identifier (e.g., message sending and receiving system identifier, email address, or device identifier) ​​indicating the user of the user system 102 to which message 400 is addressed.

[0098] The content (e.g., values) of each component of message 400 can be pointers to locations in tables where content data values ​​are stored. For example, image values ​​in message image payload 406 can be pointers (or addresses) to locations within image table 316. Similarly, values ​​in message video payload 408 can point to data stored in image table 316, values ​​in message enhancement data 412 can point to data stored in enhancement table 312, values ​​in message story identifier 418 can point to data stored in set table 318, and values ​​in message sender identifier 422 and message receiver identifier 424 can point to user records stored in entity table 308.

[0099] Figure 5 This is a flowchart illustrating a method or process 500 for scanning packaged products, based on some examples. Although the flowchart may describe operations as sequential processes, many operations can be performed in parallel or simultaneously. Additionally, the order of operations can be rearranged. A process can correspond to a method, procedure, etc. The steps of a method can be performed in whole or in part, in combination with some or all of the steps in other methods, and can be performed by any number of different systems or any part thereof (such as a processor included in any system). While some operations of process 500 are described as being performed by certain devices, in different examples, different devices or combinations of devices can perform these operations. In some examples, the processor of interactive server 124, the processor of user system 102, the processor of interactive client 104, the processor of product scanning system 232, or any combination thereof can perform the operations of process 500.

[0100] At operation 502, the processor accesses a set of image frames from the computing device. This set of image frames can be accessed from database 128 or from a feed from the computing device's real-time camera. At operation 504, the processor detects packaged items in at least one frame of the image frame set. In some examples, operation 504 is triggered by user input at the computing device. For example, the user can select and hold anywhere within the computing device's graphical user interface, select a specific icon for scanning, or select an image lens or augmented reality experience (in conjunction with the above). Figures 2 to 3 (Description) to trigger the product scanning system 232.

[0101] In some examples, the object detector neural network in the product scanning system 232 determines whether a packaged item appears in at least one image frame and where it appears. The object detector neural network can be trained on a labeled dataset containing images of packaged products. The object detector neural network can be a Region Convolutional Neural Network (R-CNN), a neural network with a YOLO architecture, or any suitable object detection neural network. The object detector receives image frames as input and outputs a confidence level indicating whether the packaged item appears in a salient portion of the image frame and whether the packaged item is centered within the frame. The object detector neural network can annotate the image with bounding boxes. In some examples, the object detector uses bounding boxes to describe the spatial location of the packaged item. The bounding box specifies the object's location, object category, and confidence level, with the confidence level indicating the probability that the object is within the bounding box. If the item appears in a minimum number of bounding boxes, the object detector determines whether the item appears in a salient portion of the image frame. In some examples, the input image can be divided into a grid. Each grid cell predicts a set of bounding boxes and a confidence level for each box. The confidence level is an indication of the probability that an object is contained within a bounding box. If the item appears in multiple bounding boxes, the object detector neural network determines that the item appears in a salient portion of the image frame.

[0102] In some examples, the object detector also identifies the kind or category associated with the detected packaged items. For instance, the object detector neural network can be trained on a labeled dataset of packaged items, where the labels specify the kind or category associated with the packaged items.

[0103] If the type or category associated with the detected packaged item is a beauty product or cosmetic product, the processor may proceed only to operation 506.

[0104] At operation 506, the processor generates text feature data by extracting text features from the packaged item from at least one frame. The text features can be extracted using an Optical Character Recognition (OCR) model. The OCR model determines the location of the text within the image frame and also outputs a text stream including each word appearing on the packaged item. The OCR model can be a pre-trained model trained on the packaged item text data.

[0105] At operation 508, the processor generates image feature data by extracting image features from the packaged item from at least one frame. The image features can be extracted by an image encoder (e.g., a CLIP model or any suitable multimodal vision and language model). The image features include visual embeddings that describe the content of the image in vector form. In some examples, operations 506 and 508 occur in parallel.

[0106] At operation 510, the processor queries a first database using the generated text feature data to generate a first-ranked set of query results. The first database may include data stored in the catalog product text table 320. The processor uses the generated text feature data to query the first database to find query results that match the generated text feature data. The processor may rank the first-ranked query results based on text matching distance or term frequency-inverse document frequency (TF-IDF).

[0107] At operation 512, the processor queries a second database using the generated image feature data to generate a second-ranked set of query results. The second database includes data stored in the catalog product image table 322. The processor uses the generated image feature data to query the second database to find query results that match the generated image feature data. The processor ranks the second-ranked set of query results based on an image similarity metric (e.g., cosine similarity). In some examples, operations 510 and 512 occur in parallel.

[0108] At operation 514, the processor generates a final sorted set of query results, which includes the intersection of the first sorted set and the second sorted set of query results. For example, the first N matches of the intersection of the first and second sorted sets are returned to the user.

[0109] At operation 516, the processor causes a subset of the final sorted query result set to be presented on the graphical user interface of the computing device. Each result in the subset of the final sorted query result set can be displayed as a product card. The product card is implemented as a selectable user interface element (e.g., a button or clickable UI element). The product card includes the product's name and price, and product details purchase information for items similar to the packaged item. Users can also select links within the product card to navigate to a third-party application or website to purchase the item shown on the product card. In some examples, when a user selects a link to purchase an item, a website page opens within the interface of application 106 running product scanning system 232.

[0110] In some examples, the processor causes a preview of products that match those identified in the query image to be displayed. The preview of the matching products includes a separate UI element (e.g., a button) that, if selected by the user, causes a complete subset of the final sorted query results set to be displayed.

[0111] Figures 6A to 6BThese are illustrations of example user interfaces 602, 608, 614, and 618 of a computing device using a product scanning system 232 to scan packaged items. In UI 602, the product scanning system 232 actively scans the packaged items. The product scanning system 232 causes a pop-up banner 606 to be displayed indicating that the product scanning system 232 is scanning the product. In some examples, the user can scan the product by selecting and holding anywhere within the graphical user interface, by selecting a specific icon for scanning (e.g., button 612), or by selecting an image lens or augmented reality experience (in conjunction with the above). Figures 2 to 3 (Description) to trigger the product scanning system 232.

[0112] After the product scanning system 232 completes operations 502 to 514, it displays the final sorted set of query results. As shown in UI 608, the product scanning system 232 may display the highest-ranked search result 610 and provide an option to view the remaining search results. After the user selects the option to view the remaining search results, UI 614 may be displayed to the user. Each search result may be presented as a selectable UI element. The user may select a UI element 616 that will cause the product information window 618 to be displayed. The product information window 618 displays an image 620 of the product and provides information including the product's price. The product information window 618 also includes a button 622 that allows the user to navigate to a separate application or website and purchase the product when the button 622 is selected. For example, the button 622 may contain metadata (e.g., a URL or link to a separate application) that, when selected, causes the product scanning system 232 to navigate to the data path provided within the metadata of the button 622.

[0113] Systems with head-worn devices

[0114] Figure 7 A system 700, including a head-worn wearable device 116 with a selector input device, is shown according to some examples. Figure 7 This is a high-level functional block diagram of an example head-mounted wearable device 116 that is communicatively coupled to a mobile device 114 and various server systems 704 (e.g., interactive server system 110) via various networks 108.

[0115] The head-mounted wearable device 116 includes one or more camera devices, each of which may be, for example, a visible light camera 706, an infrared emitter 708, and an infrared camera 710.

[0116] Mobile device 114 connects to head-mounted wearable device 116 using both low-power wireless connection 712 and high-speed wireless connection 714. Mobile device 114 is also connected to server system 704 and network 716.

[0117] The head-mounted wearable device 116 also includes two image displays in the image display 718 of the optical components. The two image displays 718 of the optical components include an image display associated with the left lateral side of the head-mounted wearable device 116 and an image display associated with the right lateral side of the head-mounted wearable device 116. The head-mounted wearable device 116 also includes an image display driver 720, an image processor 722, low-power circuitry 724, and high-speed circuitry 726. The image displays 718 of the optical components are used to present images and videos to the user of the head-mounted wearable device 116, including images that may include a graphical user interface.

[0118] The image display driver 720 commands and controls the image display 718 of the optical components. The image display driver 720 can directly deliver image data to the image display 718 of the optical components for presentation, or it can convert image data into a signal or data format suitable for delivery to the image display device. For example, the image data can be video data formatted according to compression formats such as H.264 (MPEG-4 Part 10), HEVC, Theora, Dirac, RealVideo RV40, VP8, VP9, ​​etc., while still image data can be formatted according to compression formats such as Portable Network Group (PNG), Joint Photographic Experts Group (JPEG), Tagged Image File Format (TIFF), or Exchangeable Image File Format (Exif).

[0119] The head-worn device 116 includes a frame and a rod (or temple) extending laterally from the frame. The head-worn device 116 also includes a user input device 728 (e.g., a touch sensor or a press button), comprising an input surface on the head-worn device 116. The user input device 728 (e.g., a touch sensor or a press button) is used to receive input selections from a user for manipulating a graphical user interface of the presented image.

[0120] Figure 7 Components of the illustrated head-wearable device 116 are located on one or more circuit boards (e.g., PCBs or flexible PCBs) in the frame or temples. Alternatively or additionally, the depicted components may be located in chunks, frames, hinges, or nose bridges of the head-wearable device 116. The left and right visible light camera devices 706 may include digital camera elements, such as complementary metal-oxide-semiconductor (CMOS) image sensors, charge-coupled devices, camera lenses, or any other corresponding visible light or light-capturing elements that can be used to capture data, including images of scenes with unknown objects.

[0121] The head-mounted wearable device 116 includes a memory 702 that stores instructions for performing a subset or all of the functions described herein. The memory 702 may also include a storage device.

[0122] like Figure 7 As shown, the high-speed circuit 726 includes a high-speed processor 730, a memory 702, and a high-speed wireless circuit 732. In some examples, an image display driver 720 is coupled to the high-speed circuit 726 and operated by the high-speed processor 730 to drive the left and right image displays in the image display 718 of the optical components. The high-speed processor 730 can be any processor capable of managing the high-speed communication and operation of any general-purpose computing system required by the head-worn device 116. The high-speed processor 730 includes the processing resources required to manage high-speed data transmission to a wireless local area network (WLAN) over the high-speed wireless connection 714 using the high-speed wireless circuit 732. In some examples, the high-speed processor 730 executes the operating system of the head-worn device 116 (e.g., a LINUX operating system) or other such operating system, and this operating system is stored in the memory 702 for execution. Among other duties, the high-speed processor 730, which executes the software architecture of the head-worn device 116, manages data transmission with the high-speed wireless circuit 732. In some examples, the high-speed wireless circuit 732 is configured to implement the Institute of Electrical and Electronics Engineers (IEEE) 802.11 communication standard, also referred to herein as Wi-Fi®. In some examples, the high-speed wireless circuit 732 can implement other high-speed communication standards.

[0123] The low-power wireless circuitry 734 and high-speed wireless circuitry 732 of the head-mounted wearable device 116 may include a short-range transceiver (Bluetooth™) and a wireless wide-area network transceiver, a wireless local area network transceiver, or a wide-area network transceiver (e.g., cellular or Wi-Fi®). The mobile device 114, including transceivers communicating via low-power wireless connectivity 712 and high-speed wireless connectivity 714, can be implemented using the architectural details of the head-mounted wearable device 116, as can other components of the network 716.

[0124] Memory 702 includes any storage device capable of storing various data and applications, including camera data generated by the left and right visible light imaging devices 706, infrared imaging device 710, and image processor 722, as well as images generated for display on an image display 718 in the optical components via image display driver 720. While memory 702 is shown as integrated with high-speed circuitry 726, in some examples, memory 702 may be a separate, independent component of the head-mounted wearable device 116. In some such examples, electrical wiring may provide a connection from image processor 722 or low-power processor 736 to memory 702 via a chip including high-speed processor 730. In some examples, high-speed processor 730 may manage addressing of memory 702 such that low-power processor 736 will activate high-speed processor 730 whenever a read or write operation involving memory 702 is required.

[0125] like Figure 7 As shown, the low-power processor 736 or high-speed processor 730 of the head-mounted wearable device 116 may be coupled to a camera device (visible light camera 706, infrared emitter 708 or infrared camera 710), an image display driver 720, a user input device 728 (e.g., a touch sensor or a press button) and a memory 702.

[0126] The head-mounted wearable device 116 is connected to a host computer. For example, the head-mounted wearable device 116 is paired with the mobile device 114 via a high-speed wireless connection 714 or connected to the server system 704 via a network 716. The server system 704 may be one or more computing devices as part of a service or network computing system, for example, it includes a processor, memory, and network communication interface to communicate with the mobile device 114 and the head-mounted wearable device 116 via the network 716.

[0127] Mobile device 114 includes a processor and a network communication interface coupled to the processor. The network communication interface allows communication via network 716, low-power wireless connection 712, or high-speed wireless connection 714. Mobile device 114 may further store at least a portion of the instructions in the memory of mobile device 114 to implement the functions described herein.

[0128] The output components of the head-worn wearable device 116 include visual components, such as displays (e.g., liquid crystal displays (LCDs), plasma display panels (PDPs), light-emitting diode (LED) displays, projectors, or waveguides). The image display of the optical components is driven by an image display driver 720. The output components of the head-worn wearable device 116 also include acoustic components (e.g., speakers), haptic components (e.g., vibration motors), other signal generators, etc. The input components (e.g., user input devices 728) of the head-worn wearable device 116, mobile device 114, and server system 704 may include alphanumeric input components (e.g., keyboards, touchscreens configured to receive alphanumeric input, optical keyboards, or other alphanumeric input components), point-based input components (e.g., mice, touchpads, trackballs, joysticks, motion sensors, or other pointing instruments), haptic input components (e.g., physical buttons, touchscreens that provide the position and force of touch or touch gestures, or other haptic input components), audio input components (e.g., microphones), etc.

[0129] The head-worn wearable device 116 may also include additional peripheral device elements. Such peripheral device elements may include biometric sensors, additional sensors, or display elements integrated with the head-worn wearable device 116. For example, peripheral device elements may include any I / O components, including output components, motion components, position components, or any other such components described herein.

[0130] For example, biometric components include those for detecting expressions (e.g., hand gestures, facial expressions, vocal expressions, body posture, or eye tracking), measuring biosignals (e.g., blood pressure, heart rate, body temperature, sweating, or brain waves), and identifying people (e.g., voice recognition, retinal recognition, facial recognition, fingerprint recognition, or EEG-based recognition). Biometric components may include brain-computer interface (BMI) systems that allow communication between the brain and external devices or machines. This can be achieved by recording brain activity data, converting that data into a format that can be understood by a computer, and then using the resulting signals to control the device or machine.

[0131] Examples of BMI technology types include:

[0132] BMI based on electroencephalography (EEG) uses electrodes placed on the scalp to record electrical activity in the brain.

[0133] Invasive BMI uses electrodes surgically implanted in the brain.

[0134] Optogenetics BMI uses light to control the activity of specific nerve cells in the brain.

[0135] Any biometric data collected by the biometric component is captured and stored only with user approval and is deleted upon user request. Furthermore, such biometric data may be used for very limited purposes (e.g., identification and verification). To ensure the restricted and authorized use of biometric information and other personally identifiable information (PII), access to this data is limited to authorized personnel (if access to the data occurs). Any use of biometric data may be strictly limited to identification and verification purposes, and such biometric data is not shared or sold to any third party without the user's explicit consent. In addition, appropriate technical and organizational measures are implemented to ensure the security and confidentiality of this sensitive information.

[0136] Motion components include accelerometer components (e.g., accelerometers), gravity sensor components, rotation sensor components (e.g., gyroscopes), etc. Position components include position sensor components (e.g., GPS receiver components) for generating position coordinates, Wi-Fi or Bluetooth™ transceivers for generating positioning system coordinates, altitude sensor components (e.g., altimeters or barometers that detect air pressure, from which altitude can be obtained), orientation sensor components (e.g., magnetometers), etc. Such positioning system coordinates can also be received from the mobile device 114 via low-power wireless circuit 734 or high-speed wireless circuit 732 through low-power wireless connection 712 and high-speed wireless connection 714.

[0137] Machine architecture

[0138] Figure 8This is a schematic representation of machine 800, within which instructions 802 (e.g., software, programs, applications, applets, or other executable code) can be executed to cause machine 800 to perform any or more of the methods discussed herein. For example, instructions 802 can cause machine 800 to perform any or more of the methods described herein. Instructions 802 transform a general, unprogrammed machine 800 into a specific machine 800 programmed to perform the described and illustrated functions in the described manner. Machine 800 can operate as a standalone device or can be coupled (e.g., networked) to other machines. In a networked deployment, machine 800 can operate as a server machine or a client machine in a server-client network environment, or as a peer machine in a peer-to-peer (or distributed) network environment. Machine 800 may include, but is not limited to, server computers, client computers, personal computers (PCs), tablet computers, laptop computers, netbooks, set-top boxes (STBs), personal digital assistants (PDAs), entertainment media systems, cellular phones, smartphones, mobile devices, wearable devices (e.g., smartwatches), smart home devices (e.g., smart appliances), other smart devices, web devices, network routers, network switches, network bridges, or any machine capable of sequentially or otherwise executing instructions 802 specifying actions to be taken by machine 800. Furthermore, although only a single machine 800 is shown, the term "machine" should also be considered as a collection of machines that individually or jointly execute instructions 802 to perform any or more of the methods discussed herein. For example, machine 800 may include user system 102 or any of a plurality of server devices forming part of interactive server system 110. In some examples, machine 800 may also include both client and server systems, wherein certain operations of a particular method or algorithm are performed on the server side and certain operations of said particular method or algorithm are performed on the client side.

[0139] Machine 800 may include a processor 804, a memory 806, and an input / output (I / O) unit 808 that can be configured to communicate with each other via a bus 810. In the example, processor 804 (e.g., a central processing unit (CPU), a reduced instruction set computing (RISC) processor, a complex instruction set computing (CISC) processor, a graphics processing unit (GPU), a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a radio frequency integrated circuit (RFIC), another processor, or any suitable combination thereof) may include, for example, processors 812 and 814 that execute instruction 802. The term "processor" is intended to include multi-core processors, which may include two or more independent processors (sometimes referred to as "cores") capable of executing instructions simultaneously. Although Figure 8 Multiple processors 804 are shown, but machine 800 may include a single processor with a single core, a single processor with multiple cores (e.g., a multi-core processor), multiple processors with a single core, multiple processors with multiple cores, or any combination thereof.

[0140] Memory 806 includes main memory 816, static memory 818, and memory cells 820, all of which are accessible by processor 804 via bus 810. Main memory 806, static memory 818, and memory cells 820 store instructions 802 that implement any one or more of the methods or functions described herein. Instructions 802 may also reside wholly or partially within main memory 816, static memory 818, machine-readable medium 822 within memory cell 820, at least one processor of processor 804 (e.g., within the processor's cache memory), or any suitable combination thereof during execution by machine 800.

[0141] I / O component 808 may include various components for receiving input, providing output, generating output, sending information, exchanging information, capturing measurement results, etc. The specific I / O component 808 included in a particular machine will depend on the type of machine. For example, a portable machine such as a mobile phone may include a touch input device or other such input mechanism, while a headless server machine is unlikely to include such a touch input device. It should be recognized that I / O component 808 may include... Figure 8 Many other components are not shown. In various examples, I / O component 808 may include user output component 824 and user input component 826. User output component 824 may include visual components (e.g., displays such as plasma display panels (PDPs), light-emitting diode (LED) displays, liquid crystal displays (LCDs), projectors, or cathode ray tube (CRT) displays), acoustic components (e.g., speakers), haptic components (e.g., vibration motors, resistance mechanisms), other signal generators, etc. User input component 826 may include alphanumeric input components (e.g., keyboards, touchscreens configured to receive alphanumeric input, optical keyboards, or other alphanumeric input components), point-based input components (e.g., mice, touchpads, trackballs, joysticks, motion sensors, or other pointing instruments), haptic input components (e.g., physical buttons, touchscreens or other haptic input components that provide the position and force of a touch or touch gesture), audio input components (e.g., microphones), etc.

[0142] In other examples, I / O component 808 may include biometric component 828, motion component 830, environmental component 832, or position component 834, as well as a wide range of other components. For example, biometric component 828 includes components for detecting expressions (e.g., hand expressions, facial expressions, vocal expressions, body posture, or eye tracking), measuring biosignals (e.g., blood pressure, heart rate, body temperature, sweating, or brain waves), and recognizing people (e.g., voice recognition, retinal recognition, facial recognition, fingerprint recognition, or EEG-based recognition). Biometric component may include a brain-computer interface (BMI) system that allows communication between the brain and external devices or machines. This can be achieved by recording brain activity data, converting that data into a format that can be understood by a computer, and then using the resulting signals to control the device or machine.

[0143] Examples of BMI technology types include:

[0144] BMI based on electroencephalography (EEG) uses electrodes placed on the scalp to record electrical activity in the brain.

[0145] Invasive BMI uses electrodes surgically implanted in the brain.

[0146] Optogenetics BMI uses light to control the activity of specific nerve cells in the brain.

[0147] Any biometric data collected by the biometric component is captured and stored only with user approval and is deleted upon user request. Furthermore, such biometric data may be used for very limited purposes (e.g., identification and verification). To ensure the restricted and authorized use of biometric information and other personally identifiable information (PII), access to this data is limited to authorized personnel (if access to the data occurs). Any use of biometric data may be strictly limited to identification and verification purposes, and the data is not shared or sold to any third party without the user's explicit consent. In addition, appropriate technical and organizational measures are implemented to ensure the security and confidentiality of this sensitive information.

[0148] The moving part 830 includes an acceleration sensor part (e.g., an accelerometer), a gravity sensor part, and a rotation sensor part (e.g., a gyroscope).

[0149] Environmental component 832 includes, for example, a camera device (with still image / photograph and video capabilities), an illumination sensor component (e.g., a photometer), a temperature sensor component (e.g., one or more thermometers for detecting ambient temperature), a humidity sensor component, a pressure sensor component (e.g., a barometer), an acoustic sensor component (e.g., one or more microphones for detecting background noise), a proximity sensor component (e.g., an infrared sensor for detecting nearby objects), a gas sensor (e.g., a gas detection sensor for detecting the concentration of hazardous gases for safety purposes or for measuring pollutants in the atmosphere), or other components that can provide indications, measurements, or signals corresponding to the surrounding physical environment.

[0150] Regarding the camera device, user system 102 may have a camera device system including, for example, a front-facing camera on the front surface of user system 102 and a rear-facing camera on the rear surface of user system 102. The front-facing camera may be used, for example, to capture still images and videos (e.g., "selfies") of the user of user system 102, which can then be enhanced with the aforementioned enhancement data (e.g., filters). For example, the rear-facing camera may be used to capture still images and videos in a more conventional camera device mode, which are similarly enhanced with the enhancement data. In addition to the front-facing and rear-facing cameras, user system 102 may also include a 360° camera for capturing 360° photos and videos.

[0151] Furthermore, the camera system of user system 102 may include dual rear cameras (e.g., a main camera and a depth-sensing camera), or even triple, quadruple, or quintuple rear camera configurations on the front and rear sides of user system 102. For example, these multi-camera systems may include wide-angle cameras, ultra-wide-angle cameras, telephoto cameras, macro cameras, and depth sensors.

[0152] The position component 834 includes a position sensor component (e.g., a GPS receiver component), an altitude sensor component (e.g., an altimeter or barometer that detects air pressure and from which altitude can be obtained), an orientation sensor component (e.g., a magnetometer), and the like.

[0153] Various technologies can be used to achieve communication. I / O component 808 also includes communication component 836, which is operable to couple machine 800 to network 838 or device 840 via a suitable coupling or connection. For example, communication component 836 may include a network interface component or another suitable device that interfaces with network 838. In other examples, communication component 836 may include wired communication component, wireless communication component, cellular communication component, near field communication (NFC) component, Bluetooth component, etc. ®Components (e.g., Bluetooth) ® Low energy consumption), Wi-Fi ® Components and other communication components for providing communication via other means. Device 840 can be any peripheral device from another machine or various peripheral devices (e.g., a peripheral device coupled via USB).

[0154] Furthermore, communication component 836 can detect identifiers, or includes components operable to detect identifiers. For example, communication component 836 may include a radio frequency identification (RFID) tag reader component, an NFC smart tag detection component, an optical reader component (e.g., for detecting one-dimensional barcodes such as Universal Product Code (UPC) barcodes, QR codes such as Quick Response (QR) codes, Aztec codes, data matrices, and data symbols). TM The system can utilize optical sensors for multidimensional barcodes and other optical codes, such as MaxiCode, PDF417, UltraCode, and UCC RSS-2D barcodes, or acoustic detection components (e.g., microphones for identifying audio signals of the tags). Additionally, various information can be obtained via communication component 836, such as location obtained via Internet Protocol (IP) geolocation, location obtained via Wi-Fi® signal triangulation, or location obtained by detecting NFC beacon signals that indicate a specific location.

[0155] Various memories (e.g., main memory 816, static memory 818, and the memory of processor 804) and memory cell 820 may store one or more sets of instructions and data structures (e.g., software) implemented or used by any one or more of the methods or functions described herein. These instructions (e.g., instruction 802) cause various operations to implement the disclosed examples when executed by processor 804.

[0156] Instruction 802 can be sent or received over network 838 via a transmission medium using a network interface device (e.g., a network interface component included in communication component 836) and using any of several known transmission protocols (e.g., Hypertext Transfer Protocol (HTTP)). Similarly, instruction 802 can be sent or received via a transmission medium coupled to device 840 (e.g., peer-to-peer coupling).

[0157] Software Architecture

[0158] Figure 9This is a block diagram 900 illustrating a software architecture 902 that can be installed on any one or more of the devices described herein. The software architecture 902 is supported by hardware such as a machine 904 including a processor 906, memory 908, and I / O components 910. In this example, the software architecture 902 can be conceptualized as a stack of layers, where each layer provides specific functionality. The software architecture 902 includes layers such as an operating system 912, libraries 914, frameworks 916, and applications 918. Operationally, application 918 invokes API calls 920 through the software stack and receives messages 922 in response to API calls 920.

[0159] Operating system 912 manages hardware resources and provides public services. Operating system 912 includes, for example, a kernel 924, services 926, and drivers 928. Kernel 924 acts as an abstraction layer between the hardware layer and other software layers. For example, kernel 924 provides memory management, processor management (e.g., scheduling), component management, networking and security settings, and other functions. Services 926 can provide other public services to other software layers. Drivers 928 are responsible for controlling or interfacing with the underlying hardware. For example, drivers 928 may include display drivers, camera drivers, BLUETOOTH® or BLUETOOTH® low-power drivers, flash memory drivers, serial communication drivers (e.g., USB drivers), Wi-Fi® drivers, audio drivers, power management drivers, etc.

[0160] Library 914 provides common low-level infrastructure used by application 918. Library 914 may include system libraries 930 (e.g., the C standard library) that provide functions such as memory allocation, string manipulation, and mathematical functions. Additionally, library 914 may include API libraries 932, such as media libraries (e.g., libraries supporting the rendering and manipulation of various media formats, such as Moving Picture Experts Group-4 (MPEG4), Advanced Video Coding (H.264 or AVC), Moving Picture Experts Group Layer-3 (MP3), Advanced Audio Coding (AAC), Adaptive Multi-Rate (AMR) audio codecs, Joint Picture Experts Group (JPEG or JPG), or Portable Web Graphics (PNG)), graphics libraries (e.g., the OpenGL framework for rendering graphic content on a display in two-dimensional (2D) and three-dimensional (3D) formats), database libraries (e.g., SQLite providing various relational database functions), web libraries (e.g., WebKit providing web browsing capabilities), etc. Library 914 may also include various other libraries 934 to provide many other APIs to application 918.

[0161] Framework 916 provides common high-level infrastructure for use by Application 918. For example, Framework 916 provides various graphical user interface (GUI) functions, high-level resource management, and high-level location services. Framework 916 can provide a wide range of other APIs that can be used by Application 918, some of which may be specific to a particular operating system or platform.

[0162] In the example, application 918 may include a home application 936, a contacts application 938, a browser application 940, a book reader application 942, a location application 944, a media application 946, a messaging application 948, a game application 950, and a variety of other applications such as a third-party application 952. Application 918 is a program that performs the functions defined in the program. One or more applications 918 can be created using various programming languages, such as object-oriented programming languages ​​(e.g., Objective-C, Java, or C++) or procedural programming languages ​​(e.g., C or assembly language). In a particular example, third-party application 952 (e.g., an application developed by an entity other than a platform-specific vendor using the Android™ or iOS™ Software Development Kit (SDK)) may be mobile software running on a mobile operating system such as iOS™, Android™, Windows® phones, or another mobile operating system. In this example, third-party application 952 may invoke API calls 920 provided by operating system 912 to facilitate the functions described herein.

[0163] Example

[0164] Example 1 is a method comprising: accessing a set of image frames from a computing device using a processor; detecting packaged items in at least one frame of the set of image frames; generating text feature data by extracting text features from the packaged items in at least one frame; generating image feature data by extracting image features from the packaged items in at least one frame; generating a first-ranked set of query results by querying a first database using the generated text feature data; generating a second-ranked set of query results by querying a second database using the generated image feature data; generating a final-ranked set of query results, the final-ranked set of query results including the intersection of the first-ranked set of query results and the second-ranked set of query results; and causing a subset of the final-ranked set of query results to be presented on a graphical user interface of the computing device.

[0165] In Example 2, the subject matter described in Example 1 includes the use of an object detector neural network to detect packaged items.

[0166] In Example 3, the subject matter of any one of Examples 1 to 2 includes, wherein the object detector neural network generates a confidence level indicating that the packaged item is an object of interest based on the location and salience of the packaged item in at least one image frame.

[0167] In Example 4, the subject matter of any one of Examples 1 to 3 includes, wherein an optical character recognition (OCR) neural network is used to generate text feature data.

[0168] In Example 5, the subject matter of any one of Examples 1 to 4 includes the use of a text and image encoder neural network to generate image feature data.

[0169] In Example 6, the subject matter of any one of Examples 1 to 5 includes, wherein generating the first sorted set includes applying a term frequency-inverse document frequency (TFIDF) calculation to the generated text feature data.

[0170] In Example 7, the subject matter of any one of Examples 1 to 6 includes, wherein each result in a subset of the final sorted set of query results is displayed as a selectable user interface element, the selectable user interface element including purchase information for items similar to packaged items.

[0171] In Example 8, the subject matter of any one of Examples 1 to 7 includes: receiving a selection of a selectable user interface; and, in response to receiving the selection, causing a packaged item for purchase to be presented that is similar to the packaged item.

[0172] In Example 9, the subject matter of any one of Examples 1 to 8 includes: receiving a category associated with a packaged item from an object detector neural network; and determining that the category is a beauty product category.

[0173] Example 10 is a computing system including means for implementing any one of Examples 1 to 9.

[0174] In Example 11, the subject matter described in Example 10 includes, wherein the system is a head-mounted wearable device or a client device.

[0175] In Example 12, the subject matter of any one of Examples 10 to 11 includes, wherein the head-wearable device is a pair of glasses having a frame that carries a pair of lenses and is coupled to the camera device.

[0176] Example 13 is a non-transitory computer-readable storage medium that stores instructions, which, when executed by at least one processor, cause the at least one processor to perform any one of Examples 1 to 9.

[0177] Glossary

[0178] For example, "carrier signal" refers to any intangible medium or other intangible medium capable of storing, encoding, or carrying instructions executed by a machine and including digital or analog communication signals. Instructions can be sent or received over a network using a transmission medium via a network interface device.

[0179] For example, a "client device" refers to any machine that interfaces with a communication network to obtain resources from one or more server systems or other client devices. A client device can be, but is not limited to, a mobile phone, desktop computer, laptop computer, portable digital assistant (PDA), smartphone, tablet computer, ultrabook, netbook, laptop computer, multiprocessor system, microprocessor-based or programmable consumer electronics, game console, set-top box, or any other communication device that a user can use to access the network.

[0180] For example, "communication network" refers to one or more parts of a network, which can be an ad hoc network, intranet, extranet, virtual private network (VPN), local area network (LAN), wireless LAN (WLAN), wide area network (WAN), wireless WAN (WWAN), metropolitan area network (MAN), the Internet, a part of the Internet, a part of the Public Switched Telephone Network (PSTN), a Common Old-Style Telephone Service (POTS) network, a cellular telephone network, a wireless network, a Wi-Fi® network, other types of networks, or a combination of two or more such networks. For example, a network or part of a network may include a wireless network or a cellular network, and the coupling may be a Code Division Multiple Access (CDMA) connection, a Global System for Mobile Communications (GSM) connection, or other types of cellular or wireless coupling. In this example, coupling can implement any data transmission technology of various types, such as single-carrier radio transmission technology (1xRTT), evolved data optimization (EVDO) technology, general packet radio service (GPRS) technology, enhanced data rate GSM evolution (EDGE) technology, the 3rd Generation Partnership Project (3GPP) including 3G, fourth-generation wireless (4G) networks, Universal Mobile Telecommunications System (UMTS), High-Speed ​​Packet Access (HSPA), Global Microwave Access Interoperability (WiMAX), Long Term Evolution (LTE) standards, other data transmission technologies defined by various standards setting organizations, other long-distance protocols, or other data transmission technologies.

[0181] For example, a “component” refers to a logical or physical entity having boundaries defined by functional or subroutine calls, branch points, APIs, or other technical definitions that provide partitioning or modularity for a particular processing or control function. A component can be combined with other components via its interface to perform machine processing. A component can be an encapsulated functional hardware unit designed for use with other components, and part of a program that typically performs a related function. A component can constitute a software component (e.g., code implemented on a machine-readable medium) or a hardware component. A “hardware component” is a tangible unit capable of performing certain operations and can be configured or arranged in some physical manner. In various examples, one or more computer systems (e.g., standalone computer systems, client computer systems, or server computer systems) or one or more hardware components (e.g., processors or processor groups) of a computer system can be configured by software (e.g., an application or application portion) to operate to perform certain operations as described herein. Hardware components can also be implemented mechanically, electronically, or in any suitable combination thereof. For example, a hardware component can include dedicated circuitry or logic permanently configured to perform certain operations. Hardware components can be dedicated processors, such as field-programmable gate arrays (FPGAs) or application-specific integrated circuits (ASICs). Hardware components can also include programmable logic or circuitry temporarily configured by software to perform certain operations. For example, a hardware component may include software executed by a general-purpose processor or other programmable processor. Once configured by such software, the hardware component becomes a particular machine (or a specific part of a machine), which is uniquely tailored to perform the configured function and is no longer a general-purpose processor. It will be appreciated that a decision can be made, for cost and time considerations, whether to implement a hardware component mechanically in a dedicated and permanently configured circuit or in a temporarily configured (e.g., software-configured) circuit. Therefore, the phrase “hardware component” (or “hardware-implemented component”) should be understood to include tangible entities, i.e., entities physically constructed, permanently configured (e.g., hardwired), or temporarily configured (e.g., programmed) to operate in a certain way or perform certain operations described herein. Consider the example of a hardware component being temporarily configured (e.g., programmed), without needing to configure or instantiate each hardware component at any given time. For example, in cases where the hardware components include a general-purpose processor that is configured as a dedicated processor via software, this general-purpose processor can be configured as its own distinct dedicated processor (e.g., including different hardware components) at different times. The software accordingly configures one or more specific processors to constitute a particular hardware component at one moment and different hardware components at different times. Hardware components can provide information to and receive information from other hardware components. Therefore, the described hardware components can be considered communicatively coupled.In the presence of multiple hardware components, communication can be achieved through signal transmission between or among two or more hardware components (e.g., via appropriate circuitry and buses). In examples where multiple hardware components are configured or instantiated at different times, such communication between hardware components can be achieved, for example, by storing information in a memory structure accessible to the multiple hardware components and retrieving information from the memory structure. For example, a hardware component can perform an operation and store the output of that operation in a memory device communicatively coupled to it. Another hardware component can then access the memory device at a subsequent time to retrieve and process the stored output. Hardware components can also initiate communication with input or output devices and can operate on resources (e.g., collections of information). The various operations of the example methods described herein can be performed, at least in part, by one or more processors configured, either temporarily (e.g., by software) or permanently, to perform the relevant operations. Whether temporarily or permanently configured, such processors can constitute processor-implemented components that operate to perform one or more operations or functions described herein. As used herein, "processor-implemented component" refers to a hardware component implemented using one or more processors. Similarly, the methods described herein can be implemented at least in part by processors, where one or more specific processors are examples of hardware. For example, at least some operations of the methods can be performed by one or more processors or processor-implemented components. Furthermore, one or more processors can also operate to support the execution of related operations in a “cloud computing” environment or as “Software as a Service” (SaaS) operations. For example, at least some operations can be performed by a group of computers (as an example of machines including processors), where these operations are accessible via a network (e.g., the Internet) and via one or more appropriate interfaces (e.g., APIs). The execution of some operations can be distributed among processors, not residing within a single machine, but deployed across multiple machines. In some examples, the processors or processor-implemented components can reside in a single geographic location (e.g., within a home environment, office environment, or server cluster). In other examples, the processors or processor-implemented components can be distributed across multiple geographic locations.

[0182] For example, "computer-readable storage medium" refers to both machine-readable storage media and transmission media. Therefore, these terms include both storage devices / media and carrier / modulated data signals. The terms "machine-readable medium," "computer-readable medium," and "device-readable medium" refer to the same thing and can be used interchangeably in this disclosure.

[0183] For example, a "brief message" refers to a message that is accessible for a limited time. Brief messages can be text, images, videos, etc. The access time for a brief message can be set by the message sender. Alternatively, the access time can be a default setting or a setting specified by the recipient. Regardless of the setting technique, the message is temporary.

[0184] For example, "machine storage medium" refers to one or more storage devices and media (e.g., centralized or distributed databases, and associated caches and servers) that store executable instructions, routines, and data. Therefore, this term should be considered to include, but is not limited to, solid-state memory and optical and magnetic media, including memory internal or external to the processor. Specific examples of machine storage media, computer storage media, and device storage media include: non-volatile memory, including, for example, semiconductor memory devices such as erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), FPGAs, and flash memory devices; disks, such as internal hard disks and removable disks; magneto-optical disks; and CD-ROM and DVD-ROM disks. The terms "machine storage medium," "device storage medium," and "computer storage medium" mean the same thing and may be used interchangeably in this disclosure. The terms "machine storage medium," "computer storage medium," and "device storage medium" expressly exclude carrier waves, modulated data signals, and other such media, at least some of which are covered by the term "signal medium."

[0185] For example, a "non-transitory computer-readable storage medium" refers to a tangible medium capable of storing, encoding, or carrying instructions that can be executed by a machine.

[0186] For example, "signal medium" refers to any intangible medium capable of storing, encoding, or carrying instructions executable by a machine, and includes digital or analog communication signals or other intangible media that facilitate the communication of software or data. The term "signal medium" should be considered to include any form of modulated data signal, carrier wave, etc. The term "modulated data signal" means a signal whose characteristics are set or altered in a manner that encodes information in the signal. The terms "transmission medium" and "signal medium" refer to the same thing and may be used interchangeably in this disclosure.

[0187] "User device" means, for example, a device that is accessed, controlled, or owned by a user, and that the user interacts with to perform actions or interactions on the user device, including interactions with other users or computer systems.

Claims

1. A system comprising: At least one processor; At least one memory component storing instructions, which, when executed by the at least one processor, cause the at least one processor to perform an operation, the operation including: Access a set of image frames from a computing device; Detect packaged items in at least one frame of the image frame set; Text feature data is generated by extracting text features from the packaged item from the at least one frame; Image feature data is generated by extracting image features from the packaged item from the at least one frame; The first sorted set of query results is generated by querying the first database using the generated text feature data. A second-ranked set of query results is generated by querying a second database using the generated image feature data. Generate a final sorted set of query results, wherein the final sorted set of query results includes the intersection of the first sorted set of query results and the second sorted set of query results; and This results in a subset of the final sorted query results set being presented on the graphical user interface of the computing device.

2. The system according to claim 1, wherein, The packaged items are detected using an object detector neural network.

3. The system according to claim 2, wherein, The object detector neural network generates a confidence level indicating that the packaged item is an object of interest based on the location and salience of the packaged item in the at least one image frame.

4. The system according to claim 2, further comprising: The object detector neural network receives the types associated with the packaged items; as well as The above categories are used to determine the types of beauty products.

5. The system according to claim 1, wherein, The text feature data is generated using an optical character recognition (OCR) neural network.

6. The system according to claim 1, wherein, The image feature data is generated using a text and image encoder neural network.

7. The system according to claim 1, wherein, Generating the first sorted set involves applying Term Frequency-Inverse Document Frequency (TFIDF) calculation to the generated text feature data.

8. The system according to claim 1, wherein, Each result in the subset of the final sorted query result set is displayed as a selectable user interface element, which includes purchase information for items similar to the packaged item.

9. The system according to claim 8, further comprising: Receive a selection of the selectable user interface; as well as In response to receiving the selection, a packaged item similar to the packaged item is presented for purchase.

10. A method comprising: Use one or more processors to access a set of image frames from a computing device; Detect packaged items in at least one frame of the image frame set; Text feature data is generated by extracting text features from the packaged item from the at least one frame; Image feature data is generated by extracting image features from the packaged item from the at least one frame; The first sorted set of query results is generated by querying the first database using the generated text feature data; A second-ranked set of query results is generated by querying a second database using the generated image feature data. Generate a final sorted set of query results, wherein the final sorted set of query results includes the intersection of the first sorted set of query results and the second sorted set of query results; as well as This results in a subset of the final sorted query results set being presented on the graphical user interface of the computing device.

11. The method according to claim 10, wherein, The packaged items are detected using an object detector neural network.

12. The method according to claim 11, wherein, The object detector neural network generates a confidence level indicating that the packaged item is an object of interest based on the location and salience of the packaged item in the at least one image frame.

13. The method according to claim 10, wherein, The text feature data is generated using an optical character recognition (OCR) neural network.

14. The method of claim 10, wherein, The image feature data is generated using a text and image encoder neural network.

15. A non-transitory computer-readable storage medium storing instructions, said instructions, when executed by at least one processor, causing said at least one processor to perform an operation, said operation comprising: Access a set of image frames from a computing device; Detect packaged items in at least one frame of the image frame set; Text feature data is generated by extracting text features from the packaged item from the at least one frame; Image feature data is generated by extracting image features from the packaged item from the at least one frame; The first sorted set of query results is generated by querying the first database using the generated text feature data; A second-ranked set of query results is generated by querying a second database using the generated image feature data. Generate a final sorted set of query results, wherein the final sorted set of query results includes the intersection of the first sorted set of query results and the second sorted set of query results; as well as This results in a subset of the final sorted query results set being presented on the graphical user interface of the computing device.

16. The non-transitory computer-readable storage medium according to claim 15, wherein, The packaged items are detected using an object detector neural network.

17. The non-transitory computer-readable storage medium according to claim 16, wherein, The object detector neural network generates a confidence level indicating that the packaged item is an object of interest based on the location and salience of the packaged item in the at least one image frame.

18. The non-transitory computer-readable storage medium according to claim 16, further comprising: The object detector neural network receives the types associated with the packaged items; as well as The above categories are used to determine the types of beauty products.

19. The non-transitory computer-readable storage medium according to claim 15, wherein, The text feature data is generated using an optical character recognition (OCR) neural network.

20. The non-transitory computer-readable storage medium according to claim 15, wherein, The image feature data is generated using a text and image encoder neural network.

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