Abstract: The present disclosure relates to interactive projection systems. In one implementation, a system for projecting a user interface may include a film affixed to a surface; a first projector configured to project a user interface onto the film; a second projector configured to project a plurality of light beams such that the plurality of light beams form a plane above the film that does not intersect the film; and an image sensor configured to receive reflections caused by the projected plurality of light beams. The system may further include at least one processor configured to receive an indication of a reflection from the image sensor; determine a location associated with the reflection; in response to the received indication, determine a change for the user interface based on the determined location; and transmit a command to the first projector to modify the projected user interface according to the determined change.

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: Systems and methods for preventing machine learning models from negatively affecting mobile devices are provided. For example, a mobile device including a camera, memory devices, and one or more processors are provided. In some embodiments, the processors may be configured to provide images captured by the camera to a machine learning model at a first rate. The processors may also be configured to determine whether one or more of the images includes an object. If one or more of the images includes the object, the processors may be further configured to adjust the first rate of providing the images to the machine learning model to a second rate, and in some embodiments, determine whether to adjust the second rate of providing the images to the machine learning model to a third rate based on output received from the machine learning model.

Abstract: Systems and methods for presenting an augmented reality view are disclosed. Embodiments include a system with a database for personalizing an augmented reality view of a physical environment using at least one of a location of a physical environment or a location of a user. The system may further include a hardware device in communication with the database, the hardware device including a renderer configured to render the augmented reality view for display and a controller configured to determine a scope of the augmented reality view authenticating the augmented reality view. The hardware device may include a processor configured to receive the augmented reality view of the physical environment, and present, via a display, augmented reality content to the user while the user is present in the physical environment, based on the determined scope of the augmented reality view.

Abstract: A computer system receives a request to locate a vehicle within a facility. The computer system parses the request to identify one or more characteristics of the vehicle. The computer system identifies a sensor corresponding to the vehicle based on the one or more characteristics of the vehicle. The computer system identifies a most recent location of the vehicle based on the last registered position of the vehicle within the facility. The computer system transmits a signal to a parking spot sensor at the most recent location of the vehicle in the facility. The computer system receives the unique identification. The computer system determines that the unique identification of the vehicle sensor co-located with the parking spot sensor matches the sensor of the requested vehicle. The computer system reports to the user a current location of the vehicle within the facility based on a location of the parking spot sensor.

Abstract: The present disclosure relates to interactive projection systems. In one implementation, a system for projecting a user interface may include a film affixed to a surface; a first projector configured to project a user interface onto the film; a second projector configured to project a plurality of light beams such that the plurality of light beams form a plane above the film that does not intersect the film; and an image sensor configured to receive reflections caused by the projected plurality of light beams. The system may further include at least one processor configured to receive an indication of a reflection from the image sensor; determine a location associated with the reflection; in response to the received indication, determine a change for the user interface based on the determined location; and transmit a command to the first projector to modify the projected user interface according to the determined change.

Abstract: A system for processing an image including a vehicle using machine learning can 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: A novel sealing member and a novel wedging element that may be part of a novel seal assembly. The seal assembly may remain effective for more connection/disconnection cycles as compared to the previously known seals. In exemplary embodiments, the wedging element may engage the sealing member or a pair of the sealing members that sandwich the wedging element. When engaged, an inclined surface of the wedging element may radially compress a radially inwardly extending sealing leg of one or both of the sealing members. A fluid pressure opposite the wedging element relative to the corresponding sealing member may radially expand a radially outwardly extending sealing leg of one or both of the sealing members.

Abstract: Disclosed embodiments provide devices, methods, and computer-readable storage media for determining information of an object from a captured image. Further, the disclosed device responds to a user input by capturing, with the camera, image data representing an object. The device then transmits, via a messaging application through a network interface to a server, the image data and a request for information relating to the object. The object information is received via the messaging application through the network from the server and is displayed on the display screen.

Abstract: A system for processing an image including a vehicle using machine learning can 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: Systems and methods for presenting an augmented reality view are disclosed. Embodiments include a system with a database for personalizing an augmented reality view of a physical environment using at least one of a location of a physical environment or a location of a user. The system may further include a hardware device in communication with the database, the hardware device including a renderer configured to render the augmented reality view for display and a controller configured to determine a scope of the augmented reality view authenticating the augmented reality view. The hardware device may include a processor configured to receive the augmented reality view of the physical environment, and present, via a display, augmented reality content to the user while the user is present in the physical environment, based on the determined scope of the augmented reality view.

Abstract: A system for processing an image including a vehicle using machine learning can 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, determining a make and a model of the vehicle; obtaining user information relating to a financing request for the vehicle; determining a real-time quote for the vehicle based on the make, the model, and the user information; and transmitting the real-time quote for display on the client device.

Abstract: The present disclosure relates to systems and methods for processing an image including a vehicle using machine learning. 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: determining a location of the client device; receiving an image of a vehicle from the client device; matching, using a machine learning algorithm, the image to one or more images of vehicles in a database, the database listing vehicles located at the determined location and including images of the vehicles; retrieving vehicle information from the database based on the matched one or more images in the database; obtaining user information relating to a financing request for the vehicle; determining a real-time quote for the vehicle based on the vehicle information and user information; and transmitting the real-time quote for display on the client device.

Abstract: The present disclosure relates to image preprocessing to improve object recognition. In one implementation, a system for preprocessing an image for object recognition may include at least one memory storing instructions and at least one processor configured to execute the instructions to perform operations. The operations may include receiving the image, detecting a plurality of bounding boxes within the image, grouping the plurality of bounding boxes into a plurality of groups such that bounding boxes within a group have shared areas exceeding an area threshold, deriving a first subset of the plurality of bounding boxes by selecting bounding boxes having highest class confidence scores from at least one group, selecting a bounding box from the first subset having a highest score based on area and class confidence score, and outputting the selected bounding box.

Abstract: The present disclosure relates to interactive projection systems. In one implementation, a system for projecting a user interface may include a film affixed to a surface; a first projector configured to project a user interface onto the film; a second projector configured to project a plurality of light beams such that the plurality of light beams form a plane above the film that does not intersect the film; and an image sensor configured to receive reflections caused by the projected plurality of light beams. The system may further include at least one processor configured to receive an indication of a reflection from the image sensor; determine a location associated with the reflection; in response to the received indication, determine a change for the user interface based on the determined location; and transmit a command to the first projector to modify the projected user interface according to the determined change.

Abstract: The present disclosure relates to interactive projection systems. In one implementation, an interactive projection system for a vehicle window may include a film having a plurality of sensors embedded therein, the plurality of sensors configured to detect local pressure disturbance on the film; a projector configured to project a user interface onto the film; and at least one processor. The at least one processor may be configured to perform operations, including receiving a detection of a local pressure disturbance from at least one of the plurality of sensors, based on a location of the detected local pressure disturbance, determining a change in the user interface, and transmitting a command to the projector to modify a projected user interface according to the determined change.

Abstract: The present disclosure relates to interactive projection systems. In one implementation, an interactive projection system for a vehicle window may include a film having a plurality of sensors embedded therein, the plurality of sensors configured to detect local pressure disturbance on the film; a projector configured to project a user interface onto the film; and at least one processor. The at least one processor may be configured to perform operations, including receiving a detection of a local pressure disturbance from at least one of the plurality of sensors, based on a location of the detected local pressure disturbance, determining a change in the user interface, and transmitting a command to the projector to modify a projected user interface according to the determined change.

Abstract: The present disclosure relates to systems and methods for processing an image including a vehicle using machine learning. 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, determining a make and a model of the vehicle; obtaining user information relating to a financing request for the vehicle; determining a real-time quote for the vehicle based on the make, the model, and the user information; and transmitting the real-time quote for display on the client device.