Epic light display in a living room: Fan's extraordinary goal celebration using machine-learning technology in hockey
In an exciting fusion of technology and sports fandom, François Maillet, a computer scientist and head of machine learning at an artificial intelligence company, has transformed his living room into a captivating light and music show every time his favourite hockey team, the Montreal Canadiens, scores a goal.
Maillet's innovative project showcases the potential of machine learning to automate and enhance everyday experiences. He trained a machine-learning model to detect in real-time when the Montreal Canadiens score a goal based on the live audio feed of a game.
The model, capable of detecting a goal in real-time during the game, notes the patterns of the goal horn and commentator's yell in a heat map. Maillet extracted audio from the highlights posted on the Canadiens' website to create this heat map over the time and audio frequencies that occur when goals are scored.
Once a goal is detected with high confidence, the system automatically triggers a synchronized light show and music in Maillet's living room. The light show is controlled using Philips Hues, creating a spectacle that encourages spectators to dance and participate in celebratory activities without the need for manual intervention.
Maillet initially planned to trigger the celebration sequence using a USB-connected button, but he decided to take it a step further by automating the process. His project demonstrates the potential of machine learning to automate and enhance everyday experiences, making them more enjoyable and convenient.
For those interested in replicating Maillet's epic celebration, he has shared a detailed breakdown of his project on his blog. The project's automation relies on training models to accurately identify scoring events from noisy or complex data, integrating with light and audio control hardware to coordinate the spectacle.
However, without specific documentation or sources for Maillet’s implementation, these details are general to such machine learning applications in sports entertainment. If you want detailed technical specifics about Maillet’s system, more targeted sources or direct project references would be needed.
Maillet's innovative project is a testament to the power of machine learning and its potential to revolutionize our everyday lives. Whether it's in sports entertainment or other aspects of life, machine learning promises to make our experiences more automated, convenient, and enjoyable.
The machine-learning model, used by François Maillet, demonstrates its capability in sports entertainment by detecting in real-time when the Montreal Canadiens score a goal. Furthermore, this artificial-intelligence system automates and enhances everyday experiences, such as sports fandom, by triggering a synchronized light show and music in Maillet's living room, particularly during hockey games.
