The present application discloses a top-mounted golf ball detection method, applied to a golf system with a top camera configured for detecting a golf ball provided with a mark thereon. The method comprises: calibrating a camera: converting an image coordinate system of the camera into a world coordinate system; positioning a golf ball: acquiring coordinate data of the golf ball by performing a global positioning on an entire first frame picture captured by the camera after the ball is served; and for a subsequent frame picture captured by the camera after the ball is served, predicting a falling point range of the golf ball and obtaining a local picture of the frame picture according to the falling point range, and acquiring coordinate data of the golf ball by performing a global positioning on the local picture; calculating parameters; and detecting a rotating speed of the golf ball.

Systems, methods, and non-transitory media are provided for smart sports equipment and integrated platforms. An example method can include receiving, by an integrated platform and from a client device, a request for content associated with a smart ball having a communications device configured to communicate an address for the content to one or more client devices, the request being based on the address from the smart ball; in response to the request, retrieving, by the integrated platform, the content associated with the smart ball; and providing, by the integrated platform, the content to the client device.

A system for illustrating the flight of a sports ball includes a radar, an imager, and a controller. The imager is configured to image a moving sports ball. The controller is configured to (i) receive, from the imager, an image including the moving sports ball, (ii) receive, from the radar, radar data associated with the moving sports ball, (iii) determine, from the radar data, a portion of a trajectory of the moving sports ball, (iv) alter the image to illustrate the portion of the trajectory relative to the moving sports ball, and (v) output the altered image.

A system for illustrating the flight of a sports ball includes a radar, an imager, and a controller. The imager is configured to image a moving sports ball. The controller is configured to (i) receive, from the imager, an image including the moving sports ball, (ii) receive, from the radar, radar data associated with the moving sports ball, (iii) determine, from the radar data, a portion of a trajectory of the moving sports ball, (iv) alter the image to illustrate the portion of the trajectory relative to the moving sports ball, and (v) output the altered image.

A game-play environment includes a tee box, a range surface, and a monitor. The tee box is configured to permit a player to hit a golf ball onto the range surface. The range surface has a plurality of physical markers. The monitor depicts a virtual environment that includes a plurality of virtual components. Some of the virtual components are visual cues that correspond to the physical markers. A player can play the game by targeting the appropriate physical marker that corresponds to the desired visual cue.

A system and method for analyzing and improving the performance of a body motion of an animal or human subject requires instrumenting a subject with inertial sensors, monitoring a body motion of interest, converting sensor data into motion data and animation, comparing the motion data with existing data for motion related performance parameters, providing a real-time, information rich, animation and data display of the results in color coded displays; and based on the results prescribing a training regime with exercises selected from a library of standardized exercises using standardized tools and training aids.

Provided is a set piece simulation system according to the present invention, which is a system for providing a simulation of a set piece in soccer. The system includes a data transmission/reception unit, an image output unit, a kick information analysis unit, and an image processing unit, wherein the data transmission/reception unit receives the location of a soccer ball from a sensing device, the image output unit outputs a set piece background screen to an image output device which may wiredly or wirelessly communicate with the data transmission/reception unit and outputs, to one side of the image output device, the sensed location of the soccer ball and auxiliary information in which a left or right angle or an upper or lower angle based on the location of the soccer ball is provided in the form of an image or text, the data transmission/reception unit receives a user's kick motion image, and kick information including one or more pieces of information about the speed, spin rate, and direction of the soccer ball caused by the user's kick, the kick information analysis unit analyzes the movement path of the soccer ball by analyzing the kick motion image or the kick information, and the image processing unit displays the trajectory of the soccer ball and the speed and spin information of the ball in a predetermined area on the set piece background screen by using the analyzed movement path.

A system and method for recording and broadcasting motion of a sports ball and individual players includes a sports ball with cameras embedded within for recording trajectory and locomotion, a sensor module for storing video footage and telemetry metadata, and cameras mounted on the sports equipment of individual players. The sensor module includes an Inertia Measuring Unit, a transceiver, a memory, a power source, and a processor, all operatively connected to one another. The sports ball sends data to a wireless data transmission grid mounted under a sports pitch and/or to antennas for transfer to a data processing server which determines a real ball direction thereafter sent to a stadium camera system that generates further 360 degree action-focused broadcasting data. The data is sent to the processing server which processes the raw footage received from the sports ball and individual players to produce clean footage for various applications.

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.

A method for generating feedback to a user practicing a skill comprises: providing a local platform for acquiring physical parameter data pertaining to motion and position of the user and motion and position of a golf club and a golf ball struck by the golf club during a golf swing by the user; transmitting via a network at least a portion of the physical parameter data of the motion and position of the golf club and the golf ball struck by the golf club during the golf swing and the physical parameter data associated with the motion and position of the user during the golf swing from the local platform to a machine learning analysis engine as input information; entering the input information into a machine learning model, the machine learning model having a set of rules and statistical techniques to learn patterns from the input data, and a model which is trained by using evolving training sets, wherein an initial training sets is formed from selected professional golf players physical and swing characteristics and are classified and used to train the machine learning model and resulting learned weighting factors are feedback and used to refine a model prediction, the machine learning model determining a user's skill deficiencies and providing correction suggestions; and providing a correction suggestion to the user.