Abstract: An example method to determine an object spin rate may include receiving a radar signal of a particular object in motion. The method may further include converting the radar signal into an input vector. The method may also include providing the input vector as input to a neural network. The neural network may include access to a set of initial data that has been generated based on multiple initial radar signals of multiple initial objects in motion. The method may further include determining a spin rate of the particular object in motion based on an analysis performed by the neural network of the input vector including time and frequency information of the particular object in motion in view of the set of initial data. The analysis may include comparing one or more elements of the input vector to one or more elements of the set of initial data.

Abstract: A cricket sensor may include one or more first image-capturing sensors configured to capture image data of a pitching motion of a bowler and image data of an initial motion of a cricket ball at a bowling end of a cricket field. The cricket sensor may include one or more second image-capturing sensors configured to capture image data of a trajectory and a flight path of the cricket ball towards a batting end of the cricket field. The cricket sensor may also include one or more first radar sensors configured to capture radar data describing one or more initial launch parameters of the cricket ball related to the trajectory and the flight path of the cricket ball towards the batting end of the cricket field.

Abstract: A stump device may include a first image-capturing sensor configured to couple to at least one stump of a wicket positioned at a bowling end of a cricket field and capture image data of an initial motion of a cricket ball. The stump device may also include a second image-capturing sensor configured to couple to at least one stump of the wicket and capture image data of a trajectory and a flight path of the cricket ball. The stump device may additionally include a first radar sensor configured to couple to at least one stump of the wicket and capture radar data describing one or more initial launch parameters of the cricket ball. The stump device may include a second radar sensor configured to couple to at least one of the stumps of the wicket and capture radar data describing one or more movement parameters of a bowler.

Abstract: A launch-monitoring system that models a portion of a golf club, golf swing, and golf ball may include a camera and a radar positioned orthogonally to a swing direction of the golf club. A series of images of the golf ball are collected during and after the golf club contacts the golf ball by the camera. The golf swing is captured by the radar. The images are converted into parameterized motion representations, and the radar signal is converted into time-frequency images, which are sent to a convolutional neural network. The convolutional neural network outputs golf club parameters, golf swing parameters, and golf ball parameters, which generate a visual model of the golf club, golf swing, and golf ball in a virtual space. The parameterized motion representations of the golf ball and the time frequency images of the golf swing are not correlated and operate independently from each other.

Abstract: An example method of modeling a portion of a golf club and a golf swing includes scanning the golf club to obtain scanning information, training a convolutional neural network using the scanning information, using at least one camera to obtain a series of images, converting the series of images into parameterized motion representations, using at least one radar to obtain a radar signal, converting the radar signal into time-frequency images, inputting the parameterized motion representations and the time-frequency images into the convolutional neural network, receiving golf club parameters and golf swing parameters as an output of the convolutional neural network, and generating a visual model of the golf club and the golf swing in a virtual space using the golf club parameters and the golf swing parameters.

Abstract: An example method to determine an object spin rate may include receiving a radar signal of a particular object in motion. The method may further include converting the radar signal into an input vector. The method may also include providing the input vector as input to a neural network. The neural network may include access to a set of initial data that has been generated based on multiple initial radar signals of multiple initial objects in motion. The method may further include determining a spin rate of the particular object in motion based on an analysis performed by the neural network of the input vector including time and frequency information of the particular object in motion in view of the set of initial data. The analysis may include comparing one or more elements of the input vector to one or more elements of the set of initial data.

Abstract: A method, including scanning a golf club to obtain scanning information; inputting the scanning information into a processing system; using at least one camera positioned behind and in-line to a golf swing direction and at least one lighting unit to obtain a series of images of a golf club during the golf swing; converting the series of images into parameterized motion representations; using at least one radar to obtain a radar signal; inputting the parameterized motion representations and the radar signal into the processing system; receiving golf club parameters and golf swing parameters as an output of the processing system; and generating a visual model of the golf club and the golf swing in a virtual space using the golf club parameters and the golf swing parameters.

Abstract: A method, including scanning a golf club to obtain scanning information; inputting the scanning information into a processing system; using at least one camera positioned behind and in-line to a golf swing direction and at least one lighting unit to obtain a series of images of a golf club during the golf swing; converting the series of images into parameterized motion representations; using at least one radar to obtain a radar signal; inputting the parameterized motion representations and the radar signal into the processing system; receiving golf club parameters and golf swing parameters as an output of the processing system; and generating a visual model of the golf club and the golf swing in a virtual space using the golf club parameters and the golf swing parameters.

Abstract: A golf launching monitoring arrangement allows equipment to be placed at a position behind the player (i.e., behind the golf ball), to measure both club and ball movement. A 3D scan of the club head before the play serves two purposes: 1) 3D registration that enables accurate measurement of the club head position and orientation for the camera system measuring the club movement from the back; 2) for reconstruction of the launching scene. With a 3D model of the club head, a simple 3D model of the golf ball and accurate measurement of their movement during the play, a full 3D golf launching scene can be reconstructed authentically. With this reconstruction, the movement of both the club head and the resulting ball movement can be replayed at any viewing angle, with any frame rate and at whatever resolution for the players or the coaches to view and analyze.

Abstract: A golf launching monitoring arrangement allows equipment to be placed at a position behind the player (i.e., behind the golf ball), to measure both club and ball movement. A 3D scan of the club head before the play serves two purposes: 1) 3D registration that enables accurate measurement of the club head position and orientation for the camera system measuring the club movement from the back; 2) for reconstruction of the launching scene. With a 3D model of the club head, a simple 3D model of the golf ball and accurate measurement of their movement during the play, a full 3D golf launching scene can be reconstructed authentically. With this reconstruction, the movement of both the club head and the resulting ball movement can be replayed at any viewing angle, with any frame rate and at whatever resolution for the players or the coaches to view and analyze.

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: 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.