Abstract: An intelligent sports video and data generating system using AI detection engines in Sports Detection Devices, broadcasting commands that incorporate global time stamp information to a plurality of the Sports Detection Devices, such that the recorded sports action data can be time-aligned with video data, wherein an automatically spliced together video or data set can be generated based on the parameters of an input query.

Abstract: An intelligent sports video and data generating system using AI detection engines in Sports Detection Devices, broadcasting commands that incorporate global time stamp information to a plurality of the Sports Detection Devices, such that the recorded sports action data can be time-aligned with video data, wherein an automatically spliced together video or data set can be generated based on the parameters of an input query.

Abstract: An intelligent sports video and data generating system using AI detection engines in Sports Detection Devices, broadcasting commands that incorporate global time stamp information to a plurality of the Sports Detection Devices, such that the recorded sports action data can be time-aligned with video data, wherein an automatically spliced together video or data set can be generated based on the parameters of an input query.

Abstract: A Sports Detection System including Sports Detection Device having an artificial intelligence (AI) recognition embedded therein and configured to run an Action Detection Model (ADM) that identifies and stores one or more individual sports actions on the Sports Detection Device for later offloading onto a secondary computing device. Methods for training and improving the ADM include tagging time-aligned portions of sensed and video data to be confirmed by profilers where the feedback can be run through a supervised learning algorithm to generate or update an ADM. The process of identifying and tagging identified portions of time-aligned data can be aided by integrating data mining and pattern recognition techniques.