ROC+

AI & AR-Enhanced Indoor Climbing System.

ROC+ is an AI-driven augmented reality (AR) climbing experience that combines motion tracking, real-time biomechanical analysis, and interactive gameplay to transform traditional indoor climbing into a dynamic and data-driven sport. Designed for training centers, entertainment venues, and professional climbers, ROC+ introduces adaptive AI-generated routes, AR-projected challenges, and real-time performance analytics—offering both casual and competitive climbers an immersive, skill-enhancing environment.

The platform uses computer vision and deep learning to analyze climber movement, optimize technique, and scale difficulty in real time. Azure Kinect DK sensors and LiDAR-based motion tracking capture full-body climbing patterns, evaluating grip strength, foot placement, body positioning, and movement efficiency. AI-powered feedback delivers detailed performance insights and real-time coaching recommendations to help climbers improve as they move.

A fusion of climbing and technology, ROC+ turns walls into living environments filled with light, motion, and shifting challenges. The system features multiple interactive climbing modes. In Free Climb, users scale AI-generated routes that evolve based on individual progression and climbing style. Capture Mode introduces gamified competition, where players race to reach AR targets before their opponents. Bouldering Mode overlays the wall with projected hints, dynamic route highlights, and real-time adjustments in difficulty—creating a personalized challenge for every climber.

A fusion of climbing and technology, where walls come alive with light, motion, and ever-shifting challenges

The platform continuously learns from each session. The AI engine tracks user progress, adapting future routes and suggestions to match skill level and movement patterns. ROC+ also enhances the social side of climbing with real-time competition, shared leaderboards, and XP-based progression. AR-powered “Borons” act as power-ups within gameplay, unlocking strategic advantages and expanding the climbing experience.

Built using Unity3D and Unreal Engine for real-time AR rendering and visualization, ROC+ leverages TensorFlow and OpenCV for motion analysis and AI-driven feedback. A physics-based climbing model ensures realistic force distribution and accurate environmental response. The backend architecture, developed with Node.js and Python, manages real-time data sync, user sessions, and post-session analytics. Cloud infrastructure is powered by AWS and Google Cloud for scalable performance and secure data storage.

Climbing walls that think, adapt, and challenge you in real time.

After each climb, users can review AI-generated performance reports, watch video replays, and receive targeted feedback to refine technique and track growth over time. The platform empowers instructors and athletes alike with objective performance metrics and intelligent coaching support—bridging the gap between physical training and data-driven improvement.

With its blend of responsive technology, adaptive AR challenges, and immersive gamification mechanics, ROC+ reimagines what climbing can be. It delivers a revolutionary training and entertainment experience, making indoor climbing more engaging, intelligent, and accessible for climbers of every level.