Project Core: Climbing Toolbox

A web-based auxiliary toolbox for climbers, developed with AI assistance and deployed via GitHub Pages. The project aims to evolve into a comprehensive training management platform.

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1. Initial Feature: Route Editor (HoldFocus Canvas)

The primary module designed to streamline route creation and sharing for both climbers and gym setters.

• Smart Mask Selection: Combines Lasso Paths and Color Difference Algorithms to precisely highlight climbing holds on image overlays.

2. Future Development: Cloud

• Cloud Socialization: Firebase integration for user accounts, enabling cloud-based route albums and one-click sharing.

3. Features in Queue (Backlog)

Training Tools & AI Analysis

• Hangboard Training Timer: Specialized timer for hangboard and bouldering sessions.
  • Hardware Integration: Supports WeiHeng C06 Bluetooth Crane Scale for automated finger strength data logging.
• Image Analysis Evolution:
  • Motion Tracking: Transitioning from static marking to video analysis to automatically track climbing trajectories.
  • Pose Estimation: Utilizing AI to analyze center-of-gravity shifts and movement precision for technical feedback.

Gear & Database

• Gear Database: A comprehensive database for climbing shoe specifications and performance comparisons.

專案核心：攀岩工具箱

這是一個為攀岩者設計的網頁輔助工具箱，透過人工智慧輔助開發並部署於 GitHub 頁面。目標是從基礎工具演進為全方位的攀岩訓練管理平台。

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一、 現有核心功能：路線編輯器

作為專案的首個模組，旨在簡化岩館與攀岩者紀錄、分享路線的流程。

• 智能選區：結合套索路徑與色差演算法，精準標記並突出顯示岩牆上的岩點。

二、 未來發展：雲端化

• 社交雲端化：整合雲端用戶系統，支援個人雲端相簿與一鍵分享功能。

三、 待開發清單

訓練輔助與人工智慧分析

• 指力板訓練計時器：專為指力板與抱石課表設計。
  • 硬體整合：支援藍牙吊秤接入，自動記錄指力測試數據。
• 影像分析演進：
  • 動作追蹤：從靜態標記轉向影片分析，自動捕捉攀爬軌跡。
  • 姿勢評估：利用人工智慧分析重心偏移與動作精準度，提供技術性回饋。

裝備庫

• 岩鞋資料庫：收錄各品牌岩鞋規格，提供性能對比與選購參考。