Abstract: Physical object boundary detection techniques and systems are described. In one example, an augmented reality module generates three dimensional point cloud data. This data describes depths at respective points within a physical environment that includes the physical object. A physical object boundary detection module is then employed to filter the point cloud data by removing points that correspond to a ground plane. The module then performs a nearest neighbor search to locate a subset of the points within the filtered point cloud data that correspond to the physical object. Based on this subset, the module projects the subset of points onto the ground plane to generate a two-dimensional boundary. The two-dimensional boundary is then extruded based on a height determined from a point having a maximum distance from the ground plane from the filtered cloud point data.

Abstract: Methods, systems, and computer storage media for providing a smart-contract-based watermarking service. A smart-contract-based watermarking service includes smart contract programming for displaying and removing digital watermarks on NFTs. In operation, a request to execute a watermark-mining operation on a digital asset is accessed. The request comprises a set of digital watermarking request attributes. Based on the set of digital watermarking request attributes, a digital asset and a digital watermark are accessed. The digital asset is minted as a non-fungible token associated with the digital watermark and a smart contract that controls display of the digital watermark associated with the digital asset. A notification is communicated, the notification indicating that the watermark-minting operation has been executed.

Abstract: Artificial Intelligence profile generation techniques are described. In an implementation, a profile manager service is configured to generate a profile, automatically and without user intervention. To do so, the profile manager service utilized a prompt generator module and a profile generation module. The prompt generator module is implemented by a machine-learning model using generative artificial intelligence to generate prompts to guide input of characteristics to be used as part of profile generation. The profile generator module is implemented by a machine-learning model using generative artificial intelligence. The profile generator module is configured to generate a candidate profile based on the characteristics received over a series of iterations in response to the prompts generated by the prompt generator module.

Abstract: Technologies are shown for session centric access control of a remote connection. A request for a remote connection is received from a client. A container is created for the remote connection, and an identifier for each of one or more endpoints authorized for the remote connection are stored in the container. A secure shell is initiated for the remote connection. Access is provided to the first endpoint from the one or more endpoints via the secure shell based on a first identifier for the first endpoint being stored in the container.

Abstract: In accordance with the described techniques, a configuration update is received changing configuration parameters of a data stream processing application from a source configuration to a target configuration. In addition, the configuration update specifies incremental update parameters indicating how different partitions of the data stream processing application are to be incrementally updated. The computing device is configured to incrementally update the data stream processing application. During a time interval indicated by the incremental update parameters, for instance, the target configuration is applied to a first partition, and the source configuration is applied to a second partition. Thus, during the time interval, the first partition processes events of a data stream in accordance with the target configuration, and the second partition processes events of the data stream in accordance with the source configuration.

Abstract: Message personalization for an electromechanical device is described. Data is received, the system information data associated with a change in state of one or more components of an electromechanical device. A message is generated by inputting the system information data as a prompt to generative artificial intelligence representative of one or more characteristics of the electromechanical device and trained to analyze the system information data. The message indicates feedback responsive to the change in state of the one or more components. The message is output, where one or more language characteristics of the message are associated with the one or more characteristics of the electromechanical device.

Abstract: An electronic garage shelf is described. The system includes an electronic garage shelf which may be a metaphor for a shelf in a garage that is used to store parts for a vehicle. Merely for example, the electronic garage shelf may store a token part that signifies a part or smart component such as an oil filter, carburetor, spark plug, on a garage shelf in the user's garage. Further, the metaphor for a shelf in the garage may be expanded to include a virtual part that represents a part or smart component the user wants to acquire. Accordingly, the system may include garage shelf information comprised of virtual part information and token part information where the virtual part information may store virtual parts signifying parts that are desirable for acquisition and the token part information may store token parts signifying parts that are in the possession of the user.

Abstract: Techniques for integrating a product model into a user supplied image are presented herein. A method is disclosed that includes receiving an image of a user space from a user, receiving one or more definitions that describe the user space, retrieving, based on search terms provided by the user, one or more items available at a networked marketplace that fit within the definitions of the user space, and generating a composite image by overlaying an image of one of the items on the image of the user space. The method further scales the image of the item according to the definition of the user space and the physical dimensions of the item, and depicts virtual guidelines indicating a current scale of the image of the item.

Abstract: A machine may be configured to access an image of an item described by a description of the item. The machine may determine an image quality score of the image based on an analysis of the image. A request for search results that pertain to the description may be received by the machine, and the machine may present a search result that references the item's image, based on its image quality score. Also, the machine may access images of items and descriptions of items and generate a set of most frequent text tokens included in the item descriptions. The machine may identify an image feature exhibited by an item's image and determine that a text token from the corresponding item description matches one of the most frequent text tokens. A data structure may be generated by the machine to correlate the identified image feature with the text token.

Abstract: The present disclosure relates to compositions and methods for marking/tagging objects for identification. In particular, tagging objects with a nucleic acid taggant (genetic tag based merchandise authentication).

Abstract: A recommendation system leverages multi-target search to provide item listing recommendations and/or query suggestions. For a given input image with multiple objects, multi-target search uses object detection to detect each object, and stores complementary object data associating each object from the image. Additionally, a search of an item listing datastore is performed using each object from the image as a search query. Based on item listings returned as search results, complementary item listings data associating item listings is stored. In some configurations, the complementary item listings data is also used to train a machine learning model to predict complementary item listings for a given item listing. When an input item listing is received, item listing recommendations and/or query suggestions are determined for the input item listing using the complementary object data, the complementary item listing data, and/or the machine learning model.

Abstract: Systems and methods are provided for automatically generating a thumbnail for a video on an online shopping site. The disclosed technology automatically generates a thumbnail for a video, where the thumbnail represents an item but not necessarily content of the video. A thumbnail generator receives a video that describes the item and an ordered list of item images associated with the item used in an item listing. The thumbnail generator extracts video frames from the video based on sampling rules and determines similarity scores for the sampled video frames. A similarity score indicates a degree of similarity between content of a video frame and an item image. The thumbnail generator determines weighted similarity scores based item images and occurrences of sampled video frames in the video. The disclosed technology generates a thumbnail for the video by selecting a sample video frame based on the weighted similarity scores.

Abstract: An assembly for a mailer is described. The assembly supports the mailing of articles such as trading cards and includes an insert defining a set of pockets shaped to receive the articles. The pockets are formed between attachment members of the insert and are arranged adjacent to each other along a length of the insert. Each pocket includes an open end arranged toward an upper end of the insert formed by a terminating edge of the insert. Further, each pocket includes a closed end arranged toward a lower end of the insert and formed by a folded edge of the insert. In one or more implementations, the assembly further includes a backer and a spacer shaped to fit against opposing surfaces of the insert that increase a rigidity and flatness of the assembly.

Abstract: Various embodiments use a neural network to analyze images for aspects that characterize the images, to present locations of those aspects on the images, and, additionally, to permit a user to interact with those locations on the images. For example, a user may interact with a visual cue over one of those locations to modify, refine, or filter the results of a visual search, performed on a publication corpus, that uses an input image (e.g., one captured using a mobile device) as a search query.

Abstract: A bad change detector for operational features of digital platforms is described. Metric data from a website is acquired by the bad change detector while implementing a first version of an operational feature of the website and while implementing a second version of the operational feature. A bad change to the website is detected by measuring an inequality among values of a frequency distribution defined by a time series of the metric data. The operational feature is reverted to the first version, automatically and without user intervention, in response to detecting the bad change, thereby improving operation of computing devices that implement the website.

Abstract: Dynamic shard allocation in a near real-time search platform is described. A computing system may include a cluster comprising a plurality of nodes, each node of the plurality of nodes comprising a plurality of shards storing searchable data. A query load distribution of the cluster is assessed in real-time. A first shard of a first node and a second shard of a second node are identified based on the query load distribution. The first shard of the first node is commanded to exchange with the second shard of the second node.

Abstract: A system, a method, and a device for authentication of a product includes one or more databases configured to store data of one or more products, and a user device communicatively coupled to the databases via a network. The user device includes at least one memory configured to store computer executable instructions, and at least one processor configured to execute the computer-executable instructions to receive, from an authenticator, product search data of the product, and to search the product in the databases based on the product search data. The product is listed by a user for authentication, and the product is authenticated by scanning an authentication tag attached to the product. The authentication tag is pre-programmed and becomes inactive when detached from the product. There is also a dual-purpose device for authenticating a commercial product and associating a brand with the authentication of the product.

Abstract: Systems, methods, and computer program products for identifying a candidate product in an electronic marketplace based on a visual comparison between candidate product image visual text content and input query image visual text content. Unlike conventional optical character recognition (OCR) based systems, embodiments automatically localize and isolate portions of a candidate product image and an input query image that each contain visual text content, and calculate a visual similarity measure between the respective portions. A trained neural network may be re-trained to more effectively find visual text content by using the localized and isolated visual text content portions as additional ground truths. The visual similarity measure serves as a visual search result score for the candidate product. Any number of images of any number of candidate products may be compared to an input query image to enable text-in-image based product searching without resorting to conventional OCR techniques.

Abstract: Systems, methods, and computer program products for identifying a candidate product in an electronic marketplace based on a visual comparison between candidate product image visual content and input query image visual content. Embodiments generate and store descriptive image signatures from candidate product images or selected portions of such images. A subsequently calculated visual similarity measure serves as a visual search result score for the candidate product in comparison to an input query image. Any number of images of any number of candidate products may be analyzed, such as for items available for sale in an online marketplace. Image analysis results are stored in a database and made available for subsequent automated on-demand visual comparisons to an input query image. The embodiments enable substantially real time visual based product searching of a potentially vast catalog of items.

Abstract: Techniques for managing electronic user profiles are presented herein. An example method includes accessing, from a data structure, a user profile. The user profile can include a profile identifier and a plurality of data fields. The method also includes displaying, on a display device, an interactive user interface. The user interface can include a plurality of user interface action elements. Each of the user interface action elements can be associated with a data field in the data structure. Each of the user interface action elements can also be individually selectable by a respective user action to transmit the associated data field to a remote device. In response to receiving a selection of a user interface action element, the method can further include transmitting the associated data field and the profile identifier to a router configured to send, based on the profile identifier, the associated data field to the remote device.