Sports Business Journal features AI-powered highlights app Snack Sports

There are many schools of thought when it comes to live sports broadcasting and AI clip curation. In high-stakes sporting events, capturing the electric moment when a goal is scored or a record is broken requires split-second processing speed. StackDot collaborated with Snack Sports to build an AI-powered video highlight generation system recognized by Sports Business Journal.

Here are the core architectural best practices we implemented to deliver real-time AI highlights at scale.

1. Real-time AI Video Processing & Highlight Extraction

We've all seen traditional broadcast teams manually clipping highlights, which often delays social publishing by 15-30 minutes. Stopping during live games to edit clips loses viewer momentum.

By deploying lightweight Computer Vision models and audio decibel spike analysis on AWS Lambda GPU clusters, our pipeline detects crowd cheers, referee whistle spikes, and visual action markers automatically.

Key Architectural Highlights

Software quality assurance and pipeline monitoring activities were planned in advance of live stream ingestion to achieve sub-second processing latency.

• Sub-second video ingestion via RTMP and HLS streams
• Automated facial and jersey number recognition using OpenCV and PyTorch
• Instant social clip generation formatted for mobile vertical video (9:16)
• Multi-tenant Cloud CDN delivery reaching 1M+ concurrent viewers

Automated Metadata & Tagging

Every extracted clip is enriched with player stats, game timestamps, and team branding before automated publishing.

• Player performance telemetry integration
• Automated sponsor overlay insertion
• Multi-language commentary audio track sync

2. Scalable Cloud Architecture for High-Concurrency Events

Peak traffic during championship games requires seamless auto-scaling. StackDot designed Kubernetes clusters on AWS EKS that automatically scale worker nodes up and down based on stream ingestion queues.

Perhaps the best explanation for this approach is preventing server crashes during unexpected extra-time plays or sudden viral scoring moments.

Infrastructure Performance Metrics

By isolating stream transcoding from metadata API servers, peak load spikes were handled smoothly without sacrificing stream quality.

• 99.999% uptime during major tournament finals
• Zero buffer lag across global CDN edge nodes
• Auto-scaling from 10 to 500 instances in under 45 seconds

3. Impact on Fan Engagement & Monetization

Automated highlights reduced editorial production costs by 65% while increasing user session duration by 3.2x on mobile devices.

Sports media companies can now monetize in-game moments instantly with dynamic ad insertions embedded into real-time clips.

• 3.2x increase in mobile app session duration
• 65% reduction in manual video editing overhead
• Instant programmatic ad placement on viral clips