/Project Overview
Services Provided
AI Development
AI Implementation
App Development
Computer Vision
POC
R&D
/Challenges & Opportunities
Surf competitions rely heavily on subjective scoring, making accuracy and consistency a significant challenge. Judges must assess rapidly changing wave heights, surfer manoeuvres, and overall performance—all while fatigue sets in over long event days. The sport needed a solution that could provide real-time analysis, reduce human bias, and create a more standardised judging process.
/Delivering Results
We developed an AI-powered scoring system that analyses video feeds in real-time, detecting wave height, surfer positioning, and performance metrics to assist judges in making fairer, more consistent decisions. This ground-breaking technology enhances judging accuracy while allowing for scalable adoption in competitions worldwide.
/The Solution
Strategic Planning & Research
We worked closely with surf judges and industry professionals to understand the nuances of competitive surfing. This stage involved defining key scoring criteria, analysing video footage from past competitions, and identifying areas where AI could enhance consistency and fairness.
Developing an AI Model for Surf Analysis
Using computer vision, we created a model that detects wave height and tracks surfers’ movements. The system was trained to quantify wave difficulty and performance quality, providing a baseline for accurate scoring.
Refining Accuracy & Optimisation
To ensure reliability, we tested the AI model to account for different lighting conditions, camera angles, and wave dynamics. Adjustments were made to align with judges’ scoring criteria, ensuring AI-assisted scoring remained intuitive and trustworthy.
