Abstract: Various embodiments are generally directed to techniques of overlaying a virtual object on a physical object in augmented reality (AR). A computing device may receive one or more images of the physical object, perform analysis on the images (such as image segmentation) to generate a digital outline, and determine a position and a scale of the physical object based at least in part on the digital outline. The computing device may configure (e.g., rotate, scale) a 3D model of the physical object to match the determined position and scale of the physical object. The computing device may place or overlay a 3D virtual object on the physical object in AR based on a predefined location relation between the 3D virtual object and the 3D model of the physical object, and further, generate a composite view of the placement or overlay.

Abstract: Techniques for providing indirect local geo-positioning using AR markers are disclosed. A first movable AR marker can be located or found by a computing device. A location of the first movable AR marker can be known and shared with the computing device. The location of the first movable AR marker can be based on distance between the first movable AR marker and a fixed AR marker. A distance to the first movable AR marker can be determined. Based on the known location of the first movable AR marker and the distance to the first movable AR marker from the computing device, an estimate of the location of the computing device can be determined without having line-of-sight (LOS) to the fixed AR marker.

Abstract: A device may receive images of an object and information identifying the object, process the images using an artificial intelligence technique to identify parts of the object that are depicted in the images, and receive information identifying a location of damage on the object and information regarding the damage on the object. The device may process the information identifying the location of damage to identify a damaged part of the object, identify images depicting the damaged part, and identify, in the images, a location of the damaged part. The device may generate a first content item for display at the location of the damaged part in the images and generate a second content item for display with the images based on user interaction with the first content item, where the second content item includes information based on the information regarding the damage on the object.

Abstract: The present disclosure relates to systems and methods for generating real-time quotes using machine learning algorithms. The system may include a processor in communication with a client device, and a storage medium storing instructions that, when executed, cause the processor to perform operations including: receiving an image of a vehicle from the client device, extracting one or more features from the image, based on the extracted features and using a machine learning algorithm, identifying one or more attributes of the vehicle, based on the identified attributes of the vehicle, determining a make and a model of the vehicle, obtaining comparison information based at least in part on the determined make and model, estimating a quote for the vehicle based on the comparison information; and transmitting the estimated quote for display on the client device.

Abstract: In some implementations, a system may receive an access request associated with an agent and the vehicle. The system may authenticate, based on an agent identification associated with the agent, the agent in association with providing the vehicle service. The system may send, based on authenticating the agent, an authorization request to a user associated with the vehicle, wherein the authorization request is sent to a user device associated with the user that enables the user to authorize the agent to access the vehicle in association with providing the vehicle service. The system may receive, from the user device, a user authorization that authorizes the agent to access the vehicle. The system may configure the vehicle to enable the agent to access the vehicle via a client device associated with the agent.

Abstract: In some implementations, a device may receive an indication of a code associated with granting authenticated access to a door. The device may transmit, to a user device, presentation information to cause an augmented reality image of an input pad to be displayed by the user device, wherein the augmented reality image is displayed over an area of an image of an exterior of the door via a user interface. The device may detect, via a camera device, one or more user inputs to the area of the exterior of the vehicle based on tracking a movement of a user. The device may identify an input code based on the one or more user inputs. The device may perform an action to cause the door to be unlocked based on the input code matching the code.

Abstract: In one aspect, the present disclosure relates to a method for or performing single-pass object detection and image classification. The method comprises receiving image data for an image in a system comprising a convolutional neural network (CNN), the CNN comprising a first convolutional layer, a last convolutional layer, and a fully connected layer; providing the image data to an input of the first convolutional layer; extracting multi-channel data from the output of the last convolutional layer; and summing the extracted data to generate a general activation map; and detecting a location of an object within the image by applying the general activation map to the image data.

Abstract: A session continuity platform may detect a user action during a first user session associated with a first user device, wherein the first user session is associated with a first platform. The session continuity platform may determine identification information of a user associated with the user session. The session continuity platform may determine a continuity record identifier associated with the identification information. The session continuity platform may obtain, based on the continuity record identifier, activity data from a plurality of continuity records of a distributed ledger. The session continuity platform may determine, based on the activity data, activity information associated with the user action and the second user session. The session continuity platform may cause the first user device to present the activity information via a display of the user device.

Abstract: Systems and methods are disclosed for providing purchase recommendations. According to some examples, a method may include: determining a set of vehicle characteristics represented in a candidate set of vehicles; for each vehicle characteristic in the set of vehicle characteristics, determining a percentage of the candidate set possessing the respective vehicle characteristic; selecting, from the set of vehicle characteristics, a vehicle characteristic based on a proximity of the respectively determined percentage to 50%; transmitting, to a user device associated with a user, an inquiry for a user preference regarding the selected vehicle characteristic; receiving, from the user device, a response indicating the user preference regarding the selected vehicle characteristic; excluding vehicles from the candidate set based on the indicated user preference to obtain a reduced candidate set; and transmitting, to the user device, a recommendation of one or more vehicles from the reduced candidate set.

Abstract: The method, system, and non-transitory computer-readable medium embodiments described herein capture request data from requests transmitted on websites. In various embodiments, a server receives an HTML file including content of a first website from a web-component configured to extract the content of the first website. The content includes information about a search that was executed on the first website and returned a set of items. The server generates a profile of the user based on the information about the search in the HTML file and identifies a new item that corresponds to the profile. The server further detects authentication details of the user on a second website based on the user identifier and causes display of item data of the new item and the set of items on the second web site in response to detecting the authentication details of the user.

Abstract: Disclosed herein are system, method, and computer program product embodiments for validating and updating data in a database. In an embodiment, a server may receive an HTML, file including content of a third-party website controlled by a third party from a web-component. The content may include a first set of data associated with an item. The web-component may be configured to extract the content of the third party website and generate the HTML file in response to executing code embedded in the third-party website. The server may retrieve a second set of data associated with the item available at the third-party from the database. The server may identify a difference between the mapped first set of data and the second set of data and execute an action in the database to update to the second set of data.

Abstract: A device receives user rendering data for a 3-D rendering of a user. The 3-D rendering is a proportional representation of the user and the user rendering data is available via an application. The device determines user characteristics of the user. The device receives an indication that a user device has submitted a vehicle search request. The device identifies vehicles to recommend to the user based on an analysis of: the user characteristics, and vehicle characteristics for a collection of vehicles being offered via the application. The device causes vehicle description data for the vehicles to be displayed via an interface of the application. The device receives user interaction data that indicates a user selection of vehicle. The device causes, based on receiving the user interaction data, the interface of the application to display a placement of the 3-D rendering of the user into a 3-D rendering of the vehicle.

Abstract: In some implementations, a device may receive an indication of a code associated with granting authenticated access to a door. The device may transmit, to a user device, presentation information to cause an augmented reality image of an input pad to be displayed by the user device, wherein the augmented reality image is displayed over an area of an image of an exterior of the door via a user interface. The device may detect, via a camera device, one or more user inputs to the area of the exterior of the vehicle based on tracking a movement of a user. The device may identify an input code based on the one or more user inputs. The device may perform an action to cause the door to be unlocked based on the input code matching the code.

Abstract: A signal interpretation system includes a communication device, a memory storing instructions, and one or more processors configured to execute the instructions to perform operations including: receiving scanned information including a shape of at least one article scanned with a scanning device to identify the at least one article and identifying a geographic location of the scanning device, when a scan of the at least one article was performed, based on a location signal received from the scanning device. The operations also include evaluating a signal indicative of interest in the identified at least one article and transmitting, via the communication device, a notification based on the evaluated signal, the notification being indicative of the identified at least one article and the identified geographic location, the notification being configured to cause an update in at least one graphical element presented by the scanning device or another device.

Abstract: An image information overlay system retrieves an image associated with a vehicle listing and uses machine learning models to classify the image, generating identification data that may comprise a vehicle make and model, a feature or part of the vehicle present in the image, and a location of the vehicle feature or part. The identification data or an individual identifier of the vehicle, such as a Vehicle Identification Number (VIN), may be used to retrieve overlay information related to the vehicle make and model, such as recalls or known maintenance issues or information specific to the vehicle, such as mileage, accident reports, or ownership history. The overlay information is displayed on the image as an overlay at the location of the vehicle feature or part corresponding to the overlay information.

Abstract: In some implementations, a system may receive an access request associated with an agent and the vehicle. The system may authenticate, based on an agent identification associated with the agent, the agent in association with providing the vehicle service. The system may send, based on authenticating the agent, an authorization request to a user associated with the vehicle, wherein the authorization request is sent to a user device associated with the user that enables the user to authorize the agent to access the vehicle in association with providing the vehicle service. The system may receive, from the user device, a user authorization that authorizes the agent to access the vehicle. The system may configure the vehicle to enable the agent to access the vehicle via a client device associated with the agent.

Abstract: In some implementations, a system may input a set of values, for a corresponding set of features, to a machine learning model that is trained to predict a likelihood that a user will perform the action in connection with one or more entities. The set of values may be based on interactions of the user with one or more user interfaces associated with a plurality of entities. The system may execute the machine learning model on the set of values. The system may generate, based on executing the machine learning model on the set of values, an output indicative of the likelihood that the user will perform the action. The system may identify an entity, of the one or more entities, based on the output satisfying a threshold and may provide information to facilitate communication between the user and the entity.

Abstract: Aspects described herein may allow an automated generation of an interactive multimedia content with annotations showing vehicle damage. In one method, a server may receive vehicle-specific identifying information of a vehicle. Image sensors may capture multimedia content showing aspects associated with exterior regions of the vehicle, and may send the multimedia content to the server. For each of the exterior regions of the vehicle, the server may determine, using a trained classification model, instances of damage. Furthermore, the server may generate an interactive multimedia content that shows images with annotations indicating instances of damage. The interactive multimedia content may be displayed via a user interface.

Abstract: Methods, systems, and apparatuses are described herein for providing purchase recommendations by analyzing social networks using machine learning. A machine learning model may be trained to select one or more of the first plurality of users. Purchase intention data that indicates an intention of a first user to acquire a type of asset may be received. Social networking data that comprises a plurality of associations between a second plurality of users may be received. Purchase history data indicating one or more purchases, of one or more assets associated with the type of asset, made by the second plurality of users may be received. The trained machine learning model may be provided the data. In return, the trained machine learning model may provide an indication of a second user. A notification may be sent to the second user.

Abstract: In some implementations, a system may receive exchange information associated with a vehicle and a user. The system may identify, based on the exchange information, a type of the vehicle. The system may determine a characteristic of the user based on a user profile associated with vehicle usage by the user. The system may determine, using a service evaluation model and based on the type of the vehicle and the characteristic of the user, an evaluation score associated with the vehicle service. The system may generate, based on the evaluation score satisfying a threshold, a recommendation that the exchange include a service package associated with the vehicle. The system may provide, to the user, the recommendation, to permit the user to opt into receiving the vehicle service based on including the service package in the exchange.