Abstract: A method of object surface matching includes identifying an object in-flight in an image; identifying a feature on the object that is in a first spatial position; comparing the feature with set of template images; identifying a first template image in the set of template images that matches the feature on the object that is in the first spatial position; determining first coordinates for the first spatial position based on the first template image; identifying a second image of the object that includes the feature on the object that is in a second spatial position; identifying a second template image in the set of template images that matches the feature on the object that is in the second spatial position; determining second coordinates for the second spatial position based on the second template image; and generating a spin value for the object based on the first and second coordinates.

Abstract: Operations of the present disclosure may include receiving a group of images taken by a camera over time in an environment. The operations may also include identifying a first position of an object in a target region of the environment in a first image of the group of images and identifying a second position of the object in a second image of the group of images. Additionally, the operations may include determining an estimated trajectory of the object based on the first position of the object and the second position of the object. The operations may further include, based on the estimated trajectory, estimating a ground position in the environment associated with a starting point of the estimated trajectory of the object. Additionally, the operations may include providing the ground position associated with the starting point of the estimated trajectory of the object for display in a graphical user interface.

Abstract: Systems and methods are disclosed to measure a PPG signal. In some embodiments, a method may include capturing a plurality of frames of a subject; tracking the position of a region of interest of the subject in each of the plurality of frames; creating a first time series signal, a second time series signal, and third time series signal corresponding with respective color channels of the plurality of frames; normalizing the first, second, and third time series signals, combining the normalized first time series signal, the normalized first time series signal, and the normalized first time series signal into a combined signal; creating a spectral signal from the combined signal; and extracting the PPG signal from the spectral signal.

Abstract: Operations of the present disclosure may include receiving a group of images taken by a camera over time in an environment. The operations may also include identifying a first position of an object in a target region of the environment in a first image of the group of images and identifying a second position of the object in a second image of the group of images. Additionally, the operations may include determining an estimated trajectory of the object based on the first position of the object and the second position of the object. The operations may further include, based on the estimated trajectory, estimating a ground position in the environment associated with a starting point of the estimated trajectory of the object. Additionally, the operations may include providing the ground position associated with the starting point of the estimated trajectory of the object for display in a graphical user interface.

Abstract: A method of object surface matching includes identifying an object in-flight in an image; identifying a feature on the object that is in a first spatial position; comparing the feature with set of template images; identifying a first template image in the set of template images that matches the feature on the object that is in the first spatial position; determining first coordinates for the first spatial position based on the first template image; identifying a second image of the object that includes the feature on the object that is in a second spatial position; identifying a second template image in the set of template images that matches the feature on the object that is in the second spatial position; determining second coordinates for the second spatial position based on the second template image; and generating a spin value for the object based on the first and second coordinates.

Abstract: A method including detecting an object within a field of view of a radar using a radar signal; tracking movement of the object through the field of view of the radar; triggering a camera to capture a plurality of images of the object based on the movement of the object; detecting the object in the plurality of images; combining data of the radar signal with data of the camera to estimate a position of the object; identifying a radar signal track generated by the motion of the object based on the combined data; and estimating a trajectory of the object based on identifying the radar signal track.

Abstract: A method includes triggering a camera to capture a plurality of images of a moving object while the object is in a field of view of the camera. At least a portion of a flight path of the moving object may be in the field of view of the camera. The flight path of the moving object may include an initial point of the moving object and a batting area. The method further includes extrapolating one or more flight characteristics of the moving object using the plurality of images to generate an extrapolation of the one or more flight characteristics of the moving object. The method also includes measuring a speed of the moving object using a radar device. The method includes verifying the one or more flight characteristics of the moving object based on the speed of the moving object.

Abstract: According to some embodiments, the present disclosure may relate to a method including transmitting a microwave towards a moving object and receiving a reflection of the microwave reflecting off of the moving object. The method may also include determining a speed of the moving object based on the reflection of the microwave and based on the speed of the moving object and a flight path distance of the moving object, determining an optimal photograph timeframe when the moving object is in a field of view of a camera. The method may further include automatically capturing a plurality of images during the optimal photograph timeframe.

Abstract: A method of object surface matching includes identifying an object in-flight in an image; identifying a feature on the object that is in a first spatial position; comparing the feature with set of template images; identifying a first template image in the set of template images that matches the feature on the object that is in the first spatial position; determining first coordinates for the first spatial position based on the first template image; identifying a second image of the object that includes the feature on the object that is in a second spatial position; identifying a second template image in the set of template images that matches the feature on the object that is in the second spatial position; determining second coordinates for the second spatial position based on the second template image; and generating a spin value for the object based on the first and second coordinates.

Abstract: An example embodiment includes an apparatus for monitoring launch parameters of an object. The apparatus includes a transmitter optical subassembly (TOSA), a receiver optical subassembly (ROSA), a processing unit, and a camera. The TOSA includes at least one laser source configured to transmit a laser sheet along an expected flight path of an object. The ROSA is configured to receive light reflected from the object. The processing unit is configured to estimate a velocity of the object based at least partially on the received light. The camera is configured to capture one or more images of the object at a time in which the object passes through a field of view of the camera according to the estimated velocity.

Abstract: According to some embodiments, the present disclosure may relate to a method including transmitting a microwave towards a moving object and receiving a reflection of the microwave reflecting off of the moving object. The method may also include determining a speed of the moving object based on the reflection of the microwave and based on the speed of the moving object and a flight path distance of the moving object, determining an optimal photograph timeframe when the moving object is in a field of view of a camera. The method may further include automatically capturing a plurality of images during the optimal photograph timeframe.

Abstract: The technologies described herein relate to measuring launch parameters of a flying object, such as a golf ball or a baseball. The laser based technology enables a system that is low cost which can measure launch parameters of a ball. The launch parameters are measured and rapid feedback is provided on each ball motion event and the data of every single ball launch data is stored in the backend server. The system may include a transmitter optical subassembly (TOSA), a receiver optical subassembly (ROSA), a primary processing unit, a camera subsystem, a data processing, a feedback display unit, and a backend server.

Abstract: An example embodiment includes a method of measuring launch parameters of an object in flight. The method includes capturing images of an object in flight. A radius of the object and a center of the object are identified in each of the images. A velocity, an elevation angle, and an azimuth angle are calculated based on the radius of the object, the center of the object, and pre-measured camera alignment values. The method further includes cropping the images to a smallest square that bounds the object and flattening the images from spherical representations to Cartesian representations. The method also includes converting the Cartesian representations to polar coordinates with a range of candidate centers of rotations. Based on a fit of the polar image pair, the spin axis and spin rate are measured.

Abstract: Systems and methods are disclosed to measure a PPG signal. In some embodiments, a method may include capturing a plurality of frames of a subject; tracking the position of a region of interest of the subject in each of the plurality of frames; creating a first time series signal, a second time series signal, and third time series signal corresponding with respective color channels of the plurality of frames; normalizing the first, second, and third time series signals, combining the normalized first time series signal, the normalized first time series signal, and the normalized first time series signal into a combined signal; creating a spectral signal from the combined signal; and extracting the PPG signal from the spectral signal.

Abstract: An example embodiment includes a method of measuring launch parameters of an object in flight. The method includes capturing images of an object in flight. A radius of the object and a center of the object are identified in each of the images. A velocity, an elevation angle, and an azimuth angle are calculated based on the radius of the object, the center of the object, and pre-measured camera alignment values. The method further includes cropping the images to a smallest square that bounds the object and flattening the images from spherical representations to Cartesian representations. The method also includes converting the Cartesian representations to polar coordinates with a range of candidate centers of rotations. Based on a fit of the polar image pair, the spin axis and spin rate are measured.

Abstract: An example embodiment includes a method of measuring launch parameters of an object in flight. The method includes capturing images of an object in flight. A radius of the object and a center of the object are identified in each of the images. A velocity, an elevation angle, and an azimuth angle are calculated based on the radius of the object, the center of the object, and pre-measured camera alignment values. The method further includes cropping the images to a smallest square that bounds the object and flattening the images from spherical representations to Cartesian representations. The method also includes converting the Cartesian representations to polar coordinates with a range of candidate centers of rotations. Based on a fit of the polar image pair, the spin axis and spin rate are measured.

Abstract: An example embodiment includes an apparatus for monitoring launch parameters of an object. The apparatus includes a transmitter optical subassembly (TOSA), a receiver optical subassembly (ROSA), a processing unit, and a camera. The TOSA includes at least one laser source configured to transmit a laser sheet along an expected flight path of an object. The ROSA is configured to receive light reflected from the object. The processing unit is configured to estimate a velocity of the object based at least partially on the received light. The camera is configured to capture one or more images of the object at a time in which the object passes through a field of view of the camera according to the estimated velocity.

Abstract: A current boost circuit acts as an “eye opener” for a digital bus line. A controlled current injects a fraction of the normal signaling current magnitude from a source driver onto the bus line, after a transition between the two logical states on the bus line is detected. The duration of the additional current injection is a fraction of the unit interval. In one embodiment, a linear system uses the summation of a proportional boost current and a delayed and negated proportional boost current. In another embodiment, a positive or negative edge detection circuit triggers a monostable pulse generator that controls the injection of short bursts of additional current into the bus lines. In some embodiments the boost current is suppressed when the bus line is driven from a driver other than the source driver.

Abstract: A current boost circuit acts as an “eye opener” for a digital bus line. A controlled current injects a fraction of the normal signaling current magnitude from a source driver onto the bus line, after a transition between the two logical states on the bus line is detected. The duration of the additional current injection is a fraction of the unit interval. In one embodiment, a linear system uses the summation of a proportional boost current and a delayed and negated proportional boost current. In another embodiment, a positive or negative edge detection circuit triggers a monostable pulse generator that controls the injection of short bursts of additional current into the bus lines. In some embodiments the boost current is suppressed when the bus line is driven from a driver other than the source driver.

Abstract: Certified Wireless USB 1.0 (CWUSB) defines two different types of association: cable association and numeric association. In the numeric association, the CWUSB host and device use a specific protocol to exchange the security information. At final stage of this information exchange, both host and device need to display a number asking user's feedback. Once this is done, both host and device will be able to generate the connection key as the shared secret for the following secured communication. One problem of this numeric association method is that device needs to be able to display the numbers. For certain class of device that has capability to display an image, there is a natural way to add this function to them. A method for this class of devices is described. Another kind of association, which is not defined in the CWUSB 1.0, is manual association. User needs only to manually type in the Connection Key coming from the CWUSB device.