Abstract: A method of providing a book binding assembly in the form of a stack of hardcovers for making hardcover books, with the hardcovers having pressure sensitive adhesives on both sides for securing a cover wrap onto the hardcovers. Liner sheets are disposed over the upper hardcover and intermediate the hardcovers of the stack to protect the various adhesive elements. The liner sheet is then used to accurately apply a cover wrap to the hardcover on which the liner sheet is disposed.

Abstract: The disclosed technology provides solutions for facilitating the selection of a parking space by a user of a parking application. A process of the disclosed technology can include steps for monitoring sensor data and location data associated with a user device, retrieving, based on the location data associated with a user device, listing data associated with one or more parking spaces in a vicinity of the user device, and capturing image data that includes at least a portion of the one or more parking spaces. In some aspects, the process may further include steps for overlaying one or more graphical objects onto the image data, wherein the one or more graphical objects are based on the listing data associated with the one or more parking spaces. Systems and machine-readable media are also provided.

Abstract: A method for managing vehicles comprises: detecting motion of an object at a first location associated with a geographic area using a motion sensor, the geographic area including one or more parking locations; responsive to detecting the motion of the object at the first location, capturing, using one or more cameras, image data associated with the first location; using one or more edge processors located within a threshold proximity of the geographic area to access a machine learning computer vision model. The one or more edge processors are configured to execute instructions locally to the first location to perform operations comprising: obtaining, at the computer vision model, the image data associated with the object; determining, by the computer vision model, that the object is a vehicle; identifying, by the computer vision model, one or more vehicle specific parameters associated with the vehicle; and determine the one or more vehicle specific parameters that identify the vehicle.

Abstract: A system may include an image capture device a processor communicatively coupled to the image capture device. The image capture device may be configured to obtain one or more images. The processor may be configured to receive a first image obtained by the image capture device, determine if a first object is in the first image, determine if a size and a location of the first object in the first image meet threshold values if the first object is determined to be in the first image, determine at least one corrective action to be taken if at least one of the size and the location of the first object in the image does not meet the threshold values, and cause an instruction for taking the at least one corrective action to be communicated to a user. Methods and machine-readable storage media also are disclosed.

Abstract: A system includes a computing device including a processor communicatively coupled to a camera. The computing device is configured to, in response to receiving a request, capture an image via the camera and detect, within the image, a first plurality of locations of a first object. The computing device is further configured to segment the first plurality of locations of the first object by determining, for each location of the first plurality of locations, a likelihood the corresponding location includes a part of the first object. The computing device is configured to inpaint a second plurality of locations with an associated likelihood the corresponding location includes the part of the first object above a threshold value. The computing device is additionally configured to generate an augmented image by superimposing a selected second object over the image and display the augmented image on a user interface of the computing device.

Abstract: A method for managing vehicles comprises: detecting motion of an object at a first location associated with a geographic area using a motion sensor, the geographic area including one or more parking locations; responsive to detecting the motion of the object at the first location, capturing, using one or more cameras, image data associated with the first location; using one or more edge processors located within a threshold proximity of the geographic area to access a machine learning computer vision model. The one or more edge processors are configured to execute instructions locally to the first location to perform operations comprising: obtaining, at the computer vision model, the image data associated with the object; determining, by the computer vision model, that the object is a vehicle; identifying, by the computer vision model, one or more vehicle specific parameters associated with the vehicle; and determine the one or more vehicle specific parameters that identify the vehicle.

Abstract: Image-based parking recognition and navigation systems and methods are disclosed. An example method includes: obtaining camera data collected by the plurality of cameras, the image data identifying one or more parking locations; analyzing the camera data in accordance with one or more machine learning techniques to identify a plurality of candidate parking location; obtaining, from a smart phone app executed on a mobile user device, a user request to reserve a candidate parking location in the plurality of candidate parking location; determining a location of the candidate parking location based on location data associated with a first camera; identifying a booking method to reserve the candidate parking location based on the location of the candidate parking location; and responsive to obtaining the user request, enabling a user issuing the user request to reserve the candidate parking location through smart phone app executed on the mobile user device.

Abstract: Various aspects of the subject technology relate to systems, methods, and machine-readable media for virtual try-on of items such as spectacles. A virtual try-on interface may be implemented at a server or at a user device, and may use collision detection between three-dimensional models of the spectacles and of a user's face and head to determine the correct size and position of the spectacles for virtual try-on. With the determined size and position, a virtual representation of the spectacles is superimposed on an image of the user.

Abstract: A server in communication with a first device capable of receiving input from a camera attached to the first device, and a second device capable of displaying output, is provided. The server is configured to receive, from the first device, data relating to characteristics of the camera and characteristics of an image obtained by the camera of a screen of the second device; determine a screen pixel length of the screen; and provide instructions to the second device to display on the screen an object at a desired visual angle in response to the data received from the second device and the screen pixel length, while the first device is positioned at an arbitrary distance from the screen.

Abstract: A computing system, includes: a non-transitory memory; processors coupled to the non-transitory memory and configured to execute instructions to perform operations including: detecting a vehicle at a first location, executing instructions local to the first location by one or more edge processors to determine vehicle specific parameters that identify the vehicle; determining the vehicle is associated with a user account stored in a computerized vehicle management system; in response to the determining that the vehicle is associated with the user account, and transmitting instruction to a first display at the first location to present a user-tailored menu generated by using the edge processors to access a machine learning computer model based on data obtaining from the user account.

Abstract: The disclosed technology provides solutions for facilitating the selection of a parking space by a user of a parking application. A process of the disclosed technology can include steps for monitoring sensor data and location data associated with a user device, retrieving, based on the location data associated with a user device, listing data associated with one or more parking spaces in a vicinity of the user device, and capturing image data that includes at least a portion of the one or more parking spaces. In some aspects, the process may further include steps for overlaying one or more graphical objects onto the image data, wherein the one or more graphical objects are based on the listing data associated with the one or more parking spaces. Systems and machine-readable media are also provided.

Abstract: Spinnable frames for spectacles are provided. A spinnable frame allows a user to hold a distal end of one of the temples and freely spin the remainder of the spectacles around that end of the temple. A spin joint is provided in at least one of the temples that allows this spinning action. The spin joint may span an interface between the distal end of the temple and a proximal end of the temple, the proximal end being coupled to a front portion of the frame at a hinge interface. In this way, the temple arm is allowed to fold against the front portion for compact storage, as with conventional eyeglass frames, while facilitating spinning of the spectacles in a way that avoids excess forces on the hinge interface and/or other portions of the frame or lenses mounted therein.

Abstract: A method for virtual try-on of user-wearable items is provided. The method includes capturing, in a client device, a first image of a user, the first image including a reference token for a user-wearable item and displaying, in the client device, images of multiple user-wearable items for the user, receiving an input from the user, the input indicative of a selected user-wearable item from the user-wearable items on display. The method also includes segmenting the first image to separate the reference token from a background comprising a portion of a physiognomy of the user, replacing a segment of the reference token in the first image with an image of the selected user-wearable item in a second image of the user, and displaying, in the client device, the second image of the user.

Abstract: An apparatus to facilitate the binding of sheets using heat activated adhesives, with the sheets having coatings that resist binding. A stack of sheets is abraded prior to binding, with the apparatus gripping the stack so that a stack end to be bound is exposed. An abrading head containing a plurality of reciprocating pins is positioned so that pins can be controlled to repeatedly strike the stack end along the length of the end. This action results in abrading the stack end thereby producing relatively long fibers from the coated sheets that absorb the binder strip adhesive thereby achieving a strong bind notwithstanding the adhesive-resistant coating.

Abstract: Parking space selection and navigation systems and methods are disclosed. One or more computing devices are configured to receive a search request from a first user device to secure a parking space for a vehicle, which includes one or more listing parameter, secure a first parking space stored in a database based on the search request, and determine a first listing value for the first parking space. The computing device(s) are configured to receive information associated with a second parking space and determine a second listing value for the second parking space. The computing device(s) are configured to determine that the second listing value is greater than the first listing value by a predefined value, transmit a message to the first and second user devices, and automatically transmit information relating to the parking reservation to a navigation application to update a destination associated with the second parking space.

Abstract: A lensmeter system may include a mobile device having a camera. The camera may capture a first image of a pattern through a lens that is separate from the camera, while the lens is in contact with a pattern. The mobile device may determine the size of the lens based on the first image and known features of the pattern. The camera may capture a second image of the pattern, while the lens is at an intermediate location between the camera and the pattern. The second image may be transformed to an ideal coordinate system, and processed determine a distortion of the pattern attributable to the lens. The mobile device may measure characteristics of the lens based on the distortion. Characteristics of the lens may include a spherical power, a cylinder power, and/or an astigmatism angle.

Abstract: Systems and methods for vision test and uses thereof are disclosed. A method may be implemented on a mobile device having at least a processor, a camera and a display screen. The method may include capturing at least one image of a user using the camera of the mobile device; interactively guiding the user to a predetermined distance from the display screen of the mobile device based on the at least one image; presenting material on the display screen upon a determination that the user is at the predetermined distance from the display screen; and receiving input from the user in response to the material presented on the display screen. The material presented on the display screen may be for assessing at least one characteristic of the user's vision. Mobile devices and non-transitory machine-readable mediums having machine-executable instructions embodied thereon for assessing a user's vision also are disclosed.

Abstract: Vehicular movement detection systems and methods are disclosed. A computing device is configured to monitor sensor data and location data associated with a first user device including one or more sensors, and monitor traffic data associated with a location of the first user device based on the sensor data and location data. In response to the data, the computing device determines whether to provide a user-selectable message to the first user device based on a vehicle speed, proximity to a destination, and vehicle speed relative to traffic speed. The user-selectable message comprises a prompt configured to transmit a search request for a listing location. In response to the determination, the user-selectable message is provided to the first user device. In response to receiving a search request, the computing device is configured to transmit instructions to the first user device to direct the first user device to a first listing location.

Abstract: Various aspects of the subject technology relate to systems, methods, and machine-readable media for virtual fitting of items such as spectacles and/or spectacle frames. A user interface for virtual fitting may be implemented at a server or at a user device, and utilize three-dimensional information for the user and three-dimensional information for each frame, with frame information stored in a frame database, to identify and/or recommend frames that are likely to fit the user. Fit information can be provided for a group of frames or for each individual frame selected by the user. The fit information can be provided with a static image of the frames and/or within a virtual try-on operation in which the frames are virtually placed on a real-time image of the user.