Providing object-oriented-zoom by identifying, in a transmitter, a region-of-interest in a captured video part, communicating to a receiver the video stream, and an identification of the region-of-interest, marking, on a display of the receiver, the region-of-interest over the captured video stream on a screen display, receiving from a selection of the displayed region-of-interest forming a selected object, communicating the selection to the transmitter, dividing the video stream, in the transmitter, into a first part including the selected object, and a second part including at least a part of the captured video stream less the first part, communicating the first and second parts to the receiver, displaying the first and second parts simultaneously, where the first part is displayed in a substantially constant locution of a screen display of the receiver, and where the second part is displayed around the first part to fill the screen display of the receiver.

A document scanner with the capability of landing a document by determining its location on the scanning bed, using intelligent methodologies for framing the document to determine the edges/boundaries of the document, processing the image using various techniques and methodologies to speed up the processing, so that the document feed track does not have to be slowed, and a unique binarization of the image to efficiently create different renderings of the scanned image.

Various embodiments include systems and methods of arthropod detection using an electronic arthropod detection device. The electronic arthropod detection device may scan a surface or a subject using a terahertz sensor that is sensitive to a terahertz band of electromagnetic radiation to detect the presence or likely presence of an arthropod in a region of interest (ROI). A camera sensitive to a visible band of electromagnetic radiation captures at least one image and provides the image(s) to an object detection model in response to determining that an arthropod is or is likely present in the ROI. A processor may initiate an arthropod detected procedure in response to detecting an arthropod in the ROI.

Various embodiments include systems and methods of arthropod detection using an electronic arthropod detection device. The electronic arthropod detection device may scan a surface or a subject using a terahertz sensor that is sensitive to a terahertz band of electromagnetic radiation to detect the presence or likely presence of an arthropod in a region of interest (ROI). A camera sensitive to a visible band of electromagnetic radiation captures at least one image and provides the image(s) to an object detection model in response to determining that an arthropod is or is likely present in the ROI. A processor may initiate an arthropod detected procedure in response to detecting an arthropod in the ROI.

A method of outputting digital ink data includes: detecting one or more pieces of stroke data; judging whether the one or more pieces of stroke data form a complete unit of semantics; in a case that the one or more pieces of the stroke data form the complete unit of semantics, aggregating the one or more pieces of stroke data into one message; and outputting the aggregated one or more pieces of stroke data together in the one message.

Disclosure herein concerns a method that includes illuminating a user's eye with an illumination source in a head-worn display, capturing an image of the user's eye with an eye camera in the head-worn display, wherein the image includes an eye glint produced by light from the illumination source that is reflected from a surface of the user's eye, determining a size of an eye glint in the captured image, and identifying a change in focus distance for the user's eye in correspondence with a change in the size of the eye glint.

Visual-inertial odometry uses visual input from a camera and inertial motion measurements to track the motion of an object. This technique can be applied to surveying urban environments, such as a curb or streetscape, that are impractical to survey with a surveyor's wheel, GPS, or imagery from cars. Making visual-inertial odometry measurements of a curb with a handheld surveying device yields relative measurements from a starting point to an ending point on the curb. These relative measurements can be pinned to an absolute coordinate frame using measurements of gravity made while acquiring the visual-inertial odometry measurements and absolute measurements of the starting and ending points.

Visual-inertial odometry uses visual input from a camera and inertial motion measurements to track the motion of an object. This technique can be applied to surveying urban environments, such as a curb or streetscape, that are impractical to survey with a surveyor's wheel, GPS, or imagery from cars. Making visual-inertial odometry measurements of a curb with a handheld surveying device yields relative measurements from a starting point to an ending point on the curb. These relative measurements can be pinned to an absolute coordinate frame using measurements of gravity made while acquiring the visual-inertial odometry measurements and absolute measurements of the starting and ending points.

An electronic device includes a camera; a display; a memory; and a processor configured to be operatively connected to the camera, the display, and the memory, wherein the memory is configured to store instructions that, when executed, cause the processor to: receive image data including a first image, acquired by the camera, of at least a part of a user's body; extract a corneal region of an eye from the image data; acquire surrounding information formed in the extracted corneal region; recognize at least one object in the surrounding information; and provide, on the display, a visual feedback corresponding to the recognized at least one object.

Wireless data communication between two devices is described. In an example implementation, an image frame displayed on a display unit of a transmitting device is captured by a camera of a receiving device, where the image frame comprises text characters converted from binary data bits based on a text mapping table. The text characters in the captured image frame are converted to the binary data bits based on the text mapping table by the receiving device.