ShredVision
ShredVision is a video-analysis platform that uses computer vision to break down snowboarding and skiing technique frame by frame, overlaying metrics like lean angle, edge angle, and rotation timing onto footage. Riders can compare their runs against professional reference clips or their own past performances to track improvement. The platform also generates personalized drill recommendations and offers a team dashboard for coaches to review athletes remotely.
- Sports Technology
- Artificial Intelligence
- Data & Analytics
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Athletes and recreational riders often struggle to improve their technique without a coach present, relying on memory or generic advice that doesn't address their specific form. Video feedback is rarely analyzed systematically, leaving riders unaware of subtle posture, edge control, or timing issues that limit their progression and increase injury risk.
Solution
ShredVision provides a video-analysis platform that records a rider's run and uses computer vision to break down body position, turn shape, and edge angle frame by frame. The system overlays key metrics onto the footage, such as lean angle, pressure distribution, and rotation timing, giving riders a clear visual reference for what to adjust. Users can compare their technique against a library of professional clips or their own past runs to track improvement over time. The platform also generates personalized drill recommendations based on detected movement patterns, helping riders focus on their weakest areas. Coaches and teams can use the same tool to review athlete performance remotely and share annotated clips for structured feedback.
Target Audience
Primary users are snowboarders and skiers who want structured, data-driven feedback on their technique, as well as action-sports coaches and teams looking for remote athlete development tools.
Features
- Frame-by-frame pose estimation using computer vision to track joint angles and body alignment during turns and jumps
- Automatic turn segmentation and scoring based on edge angle, radius, and carving consistency
- Side-by-side video comparison with pro-rider reference clips for technique benchmarking
- Cloud-based video library with tagging and search by trick, terrain, or date for longitudinal progress tracking
- Mobile app with on-mountain recording mode and offline processing for remote locations
- Team dashboard for coaches to review multiple athletes, leave timestamped comments, and assign drill routines