AI-Powered Sports Highlight Generation with SportSense

Problem Statement

Sports broadcasters and digital platforms are under increasing pressure to deliver instant, high-quality highlights to fans across television, OTT, and social media. Traditional manual analysis is slow, error-prone, and expensive. Human analysts often introduce bias and inconsistencies, while incorrect tagging or metadata can even create legal risks. As the volume of live sports content grows, these manual processes simply cannot scale, resulting in delays, quality issues, and escalating operational costs. What the industry needed was a way to transform highlight generation into a fast, accurate, and scalable process that could keep pace with the speed of the game.

Solution

 SportSense, powered by the AIVA Cognitive Video Analytics Platform, transforms sports content creation with AI-driven automation. Using advanced computer vision and audio analysis, it detects goals, fouls, saves, and even crowd emotions in real time. A metadata engine enriches clips with contextual details such as player names and match timing. Highlights are then seamlessly edited with transitions, overlays, and graphics. Within minutes, broadcasters can deliver customized packages across TV, OTT and social media, supported by flexible cloud, on-premise, or hybrid deployments with API integration.

Impact

With SportSense, highlight creation shifted from a labor-intensive manual task to a near real-time, AI-driven process. Editing time was reduced by 90%, while the system demonstrated the ability to process more than 20 live streams simultaneously with an accuracy rate of 99.8%. Key moment clips were available within three minutes, and complete highlight reels were ready within four to five minutes of a match ending. For broadcasters, this meant faster time-to-market, significant cost savings,and enhanced fan engagement through content that was timely, accurate, and emotionally resonant.

Services Rendered

• Problem Definition and Requirement Analysis​
• AI Model Development​
• Data Preparation & Augmentation​
• Integration with Sports Streaming Platforms​
• MLOps Implementation​
• Testing & Deployment​
• Post-Launch Support