American startup Score Vision has introduced a revolutionary open-source neural network that analyzes football match videos and predicts their results with high accuracy.
G. Ostrov
American startup Score Vision has developed breakthrough technology in the field of sports analytics — an open-source neural network capable of quickly and accurately analyzing football match videos and predicting their outcomes.
How the Technology Works
Score Vision's AI model uses advanced computer vision algorithms to track player movements on the field in real-time. The system analyzes numerous parameters: player positioning, movement speed, team interaction patterns, and tactical schemes.
The technology's distinctive feature lies in its ability to process even low-quality videos — for example, recordings from youth tournaments or amateur league matches. The algorithms can model various game development scenarios and assess each individual player's impact on the overall result.
Revolution in the Football Industry
The football industry is valued by experts at $600 billion. Of this amount, $50 billion comes from sports betting, and another $30 billion from sports analytics and forecasting. AI technologies could radically transform this sector.
Currently, "manual" analysis of one minute of a football match costs up to $55 and requires up to four hours of specialist work. Score Vision can accelerate and cheapen this process by 100 times, making the technology extremely attractive to betting companies.
Investments and Prospects
The technology's potential has already been recognized by major market players. One of the leading betting syndicates has invested over $300 million in Score Vision's development, demonstrating the project's seriousness and prospects.
The creators plan to expand the neural network's capabilities to other sports, including tennis, basketball, and hockey. However, the technology's potential extends far beyond sports analytics.
Future Applications
Developers see possibilities for applying their technology in various fields: improving live broadcast quality, video surveillance systems, medical diagnostics, and even resolving insurance disputes. All these areas could receive significant momentum through the implementation of AI video analysis.
As Score Vision co-founder Max Sebti explains: "We want to become the optic nerve of artificial intelligence and give everyone the opportunity to connect their eyes to it."
Official Score Vision website: https://scorevision.ai
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