Case Study: a Fortune 100 sports broadcaster achieves 80% video accuracy with Tiger Analytics computer vision

Fortune 100 Sports Broadcaster achieves 80% video accuracy overnight with Tiger Analytics

The customer, a Fortune 100 sports broadcaster, sought to automate its video analysis for the 2022 Winter Olympics to create athlete showcases and social media content. Their challenge was to replace a manual process with an automated one. Vendor Tiger Analytics addressed this with a computer vision solution to identify sports, athletes, and advertisements.

Tiger Analytics implemented an AI Engine that used Tesseract and CNN detectors combined with a Random Forest model to recognize elements in video frames. The solution analyzed approximately 600 hours of footage and achieved 80% accuracy overnight. This resulted in a JSON file with labeled frames that streamlined the generation of social media highlights, providing the broadcaster with a scalable and low-intervention solution for future events.