SPOT is an AI‑powered video analytics platform that automatically creates sports highlight reels from raw game footage. Using computer‑vision models for jersey detection and action classification, the cloud‑based service extracts, stitches, and renders clips in seconds via a web interface, enabling athletes, coaches and scouts to obtain shareable reels without manual editing.
Funding
Funding not disclosed
Founders
Product
Problem
Creating sports highlight reels manually requires skilled video editors and extensive time, leading to high production costs and delayed access to game footage for athletes, coaches, and scouts.
Solution
SPOT offers an AI-driven video analytics platform that transforms raw game recordings into ready-to-share highlight reels with a few clicks. The system applies computer‑vision models to recognize jersey numbers and classify actions such as shots, assists, rebounds, and defensive plays. Users select specific players and highlight types through an intuitive web interface; the platform then extracts, stitches, and renders the clips automatically. Because all processing occurs in the cloud, no local editing expertise or hardware is needed, and results are delivered instantly. The solution scales across multiple teams and competition levels while maintaining consistent output quality.
Target Audience
The primary users are individual athletes, coaching staff, scouting personnel, and sports academies that need fast, cost‑effective highlight generation for performance review and recruitment.
Features
- Deep‑learning models for jersey‑number detection and player identification in full‑court video streams
- Action classification engine that tags plays (e.g., 3‑pointers, assists, blocks, steals) in real time
- Automated clip extraction, sequencing, and rendering pipeline that produces a polished reel in seconds
- Web‑based upload portal with drag‑and‑drop support; no software installation required
- Custom filter UI allowing users to combine player selection with specific action types
- Optional music overlay and pre‑built transition templates for enhanced presentation
- Cloud‑native processing architecture that scales to handle multiple concurrent uploads
- End‑to‑end encrypted data transfer and storage to protect proprietary footage