Advanced Computer Vision

Our CoreML-powered ProstrationClassifier uses advanced machine learning to detect and count your prostration movements automatically. Built with Apple's Vision framework and trained on thousands of prostration sequences.

🎯 Precision Detection

CoreML model trained specifically for prostration movements with 95%+ accuracy

📱 Real-time Processing

Live camera feed analysis with instant feedback and haptic confirmation

☁️ CloudKit Sync

Automatic synchronization across iPhone, iPad, and Apple TV with real-time casting

Ready to Detect
Prostrations: 0
Waiting...

Stand back 6-8 feet from camera for best results

CoreML Technology Stack

🧠 ProstrationClassifier.mlmodel

Custom CoreML model trained on thousands of prostration sequences with MoveNet SINGLEPOSE_LIGHTNING architecture

👁️ Vision Framework

Apple's Vision framework provides real-time pose detection and body landmark tracking with high accuracy

📊 EWMA Smoothing

Exponentially Weighted Moving Average smoothing reduces noise and improves detection accuracy

🎯 Dynamic Thresholding

Adaptive thresholding adjusts to individual movement patterns for personalized detection

CloudKit Real-Time Sync

☁️

Private Database

All prostration data stored securely in your private CloudKit database with end-to-end encryption

📱

Multi-Device Sync

Seamless synchronization across iPhone, iPad, and Apple TV with real-time updates

📺

Apple TV Casting

Cast your prostration sessions to Apple TV for larger display and shared practice sessions

🔄

Real-Time Updates

Instant updates across all devices with CloudKit subscriptions and push notifications

Benefits of Prostration Practice

💪

Physical Health

Full-body exercise that improves flexibility, strength, and cardiovascular health

🧘‍♀️

Mental Focus

Combines physical movement with mindfulness, enhancing concentration and mental clarity

🙏

Spiritual Devotion

Physical expression of reverence and humility, deepening your spiritual practice

🌟

Karma Accumulation

Each prostration generates white stones, building positive karma and spiritual merit

Technical Implementation Details

1

Camera Capture

AVFoundation captures live video feed with optimized settings for pose detection

2

Pose Detection

Vision framework extracts body landmarks and feeds them to CoreML model

3

Movement Analysis

ProstrationClassifier analyzes pose sequences to identify complete prostration movements

4

Data Sync

CloudKit automatically syncs prostration counts and session data across all devices

Start Your Prostration Practice

Experience the power of AI-powered prostration tracking with GettingStoned

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