SYSTEMS AND METHODS FOR SYNCHRONIZATION OF VIDEO, GEOLOCATION, AND TELEMETRY RACE DATA USING NEURAL NETWORKS

Disclosed herein are systems and method for synchronizing race telemetry, videos, and map data. In one aspect, a method includes: obtaining racing videos of racers on a race course and a map of the race course; identifying unique geolocations of the race course; executing a trained racer identification neural network to visually identify and track at least one racer at least at the identified unique geolocations in the racing videos; obtaining telemetry data associated with absolute race time for each identified racer; synchronizing the racing videos, the map, and the telemetry data for each identified racer based on the identified unique geolocations and the absolute race time; and generating a dynamic user interface (UI) for displaying time-synchronized videos comprising a visual identifier of each racer, the map including a visual identifier of the geolocation of each racer on the race course, and the telemetry data for each racer.