Abstract: Systems and methods for processing an image using machine learning are provided. The system includes 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 operations also include: retrieving vehicle information based on the matched one or more images; obtaining user information relating to a financing request for the vehicle; determining and transmitting to the client device a real-time quote for the vehicle based on the vehicle information and user information.

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: An electronic pet door is provided herein. The electronic pet door includes a pivotal flap and a frame that defines a through-way. A rotatable knob is mounted to the frame and has a handle portion and a stop wall. The handle portion and stop wall include various profiles and configurations that work in concert to control the flap's direction of pivotal movement. In a first configuration, the flap may swing outwardly or inwardly. A second configuration prevents the flap from swinging inwardly. A third configuration prevents the flap from swinging outwardly. A fourth configuration places the flap is in a locked position to prevent swinging in either direction. The electronic door also includes an electronic latch mechanism which selectively latches and unlatches the flap. The latch mechanism unlatches the flap in response to a wireless signal from an electronic transmitter that may be affixed to a pet.

Abstract: The present disclosure relates to systems, methods, and computer readable media for processing an image including a vehicle using machine learning. The systems can include determining a location of the client device. The systems can further include receiving a first image of a vehicle from an image sensor of the client device and matching, using machine learning, the first image to one or more images of vehicles in a vehicle database to identify the vehicle. The vehicle database can list vehicles located at the determined location of the client device and images of the vehicles. The systems can include retrieving vehicle information from the vehicle database, based on the identified vehicle, and obtaining comparison information based at least in part on the vehicle information. The systems can include estimating a quote for the vehicle based on the comparison information and transmitting the estimated quote for display on the client device.

Abstract: The disclosed invention includes methods and systems for tracking a moveable asset. Embodiments include receiving, from a stationary receiver, an indication of a first signal strength of a beacon signal originating from a beacon attached to a moveable asset, and an identifier of the beacon signal. A first mobile computing device may receive an indication of a second signal strength of the beacon signal, the identifier of the beacon signal, and an indication of a location of the first mobile computing device. A normalized signal strength corresponding to the identifier may be determined based on dividing the indication of the second signal strength by the indication of the first signal strength. A location of the moveable asset may be determined based at least in part on the normalized signal strength and indication of the location of the first mobile computing device.

Abstract: The disclosed technology includes image-based systems and methods for object tracking within an asset area. Some exemplary methods include receiving an indication of a first object entering an asset area and receiving data indicative of a plurality of captured images. The methods also include performing, by at least one processor, object classification of the first object based on one or more of the plurality of captured images. The methods further include determining a first object location of the first object based at least in part on the object classification, and outputting an indication of the first object location.

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: 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: 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 invention generally relates to compositions for use in lubricating oils. In certain aspects, the present invention is generally directed to boroxine compounds having alkyl groups where one or more of the alkyl groups contains at least 8 carbon atoms. Such compounds may present improved hydrolytic stability, compared to other boroxine compounds. Such boroxine compounds may be used, for example, to improve seal compatibility in an engine. Other aspects of the invention are generally directed to systems and methods for making such boroxine compounds, engine oils containing such boroxine compounds, methods of using such boroxine compounds, or the like.

Abstract: A syringe assembly (10) has a syringe barrel (12), a plunger rod (14) and stopper (16) where the syringe barrel has an open end receiving the plunger rod and stopper in a sliding direction. The plunger rod includes a shaft (52) having a longitudinal axis with a first end having a coupling member (62) for coupling with the stopper. The shaft has a least one plunger rod support (82) extending radially outer from the shaft and spaced from the first end for cooperating with an inner surface of the syringe barrel (12) to resist lateral movement and tilting of the plunger rod relative to the longitudinal axis of the axial passage of the syringe barrel. The shaft in one embodiment has at least two spaced apart points of support (41) and (82) for maintaining the axis of the plunger rod on axis with the syringe barrel to limit twisting and tilting of the stopper thereby resisting distortion of the stopper that can cause leakage.

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.