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CASE STUDY April 26, 2023

Fortune 100 sports broadcaster achieves 80% video accuracy with Computer Vision overnight

Background

Our client, a global telecom giant, sought to automate the 2022 Winter Olympic highlights creation for athlete showcases and social media. They aimed to replace manual video analysis with a Computer Vision solution to identify sports, athletes, and advertisements, streamlining content generation.

Impact

Our AI Engine leveraged Tesseract and CNN detectors for frame element recognition, combining outputs with Random Forest. Analyzing ~600 hours of 2022 Winter Olympics videos, it achieved 80% accuracy overnight. Results in a JSON file with labeled frames facilitated easy generation of social media highlights. We thereby provided a scalable and low-intervention solution for future sporting events.

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