Overview
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Explore an edge computing solution called Race Predict, developed to determine the start of sporting events using live video feeds and Corel devices. Learn about the motivations, challenges, and broader cloud architecture implications of this innovative technology. Discover how the system integrates with various sporting event types, its hardware requirements, and deployment options. Gain insights into the business challenges addressed, additional value created, and specific applications in greyhound racing. Delve into the technical aspects, including streaming, vision model inference, sensor integration, and legal considerations. Understand the potential for sponsorships and future developments in this cutting-edge field of sports technology.
Syllabus
Introduction
Sponsors
Presentation
Scotts background
QA
Agenda
Business challenge
Additional value
Greyhounds
Demo
Explanation
What feeds the model
Streaming
Scope
Hardware
Legal implications
Technology overview
Deployment options
Camera movement
Vision model inference
Sensors
Sponsorships
Taught by
tinyML