Climber AI

date
Apr 19, 2025
type
Post
AI summary
slug
climber-ai
status
Published
tags
Ideas
summary
The blog post introduces an innovative concept for a computer vision system that automatically identifies climbing routes from a photo of a climbing wall. It would analyze features such as color-coded routes and different hold types (e.g., jug, crimp, sloper). Additionally, using geometry and physics, the system would create a personalized climbing plan (beta) for the climber, tailored to their skill level and technique. The post explores the potential for smarter climbing experiences through AI and technology.

Introduction:

I climb:
Imagine a computer vision system that can automatically identify climbing routes just from a photo of a climbing wall! 📸 It would analyze things like:
  • Color-coded routes 🌈
  • Different hold types (jug, crimp, sloper, etc.)
Then, using geometry and physics, it could generate a climbing plan (beta) tailored to the climber's skill level and technique.

Reference:

  1. bouldering_route_classification
    tonylay7Updated Mar 18, 2025
  1. PeggyBoard
    PegorKUpdated Feb 27, 2025
  1. https://www.semanticscholar.org/paper/Indoor-Rock-Climbing-Wall-Route-Displayer-Wei/61ef23fb777c41e702324f3a6d1e8813e67dd72d
 

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