SIH 202 Demo: 3D Holographic Visualization for Mining

The Problem: Mining Safety

Open pit mining is dangerous. Workers operate heavy machinery in constantly changing terrain. Real-time 3D visualization can save lives.

What is SIH Demo?

A 3D holographic visualization system for open pit mines that provides:

Real-time terrain mapping
Equipment tracking
Safety zone monitoring
Structural analysis

Built for Smart India Hackathon 2025.

Technical Approach

1. Data Acquisition

Drone surveys (photogrammetry)
LiDAR scans
GPS tracking of equipment
Geological survey data

2. 3D Reconstruction

Using Python and computer vision:

Point cloud generation
Mesh reconstruction
Texture mapping
Terrain analysis

3. Holographic Rendering

WebGL for browser-based visualization
Three.js for 3D rendering
Real-time updates via WebSocket

Architecture

SIH Mining Demo:
├── Data Collection Layer
│   ├── Drone imagery
│   ├── LiDAR point clouds
│   └── GPS telemetry
├── Processing Pipeline
│   ├── Point cloud processing (Open3D)
│   ├── Mesh generation
│   └── Texture mapping
├── Visualization Engine
│   ├── Three.js renderer
│   ├── Camera controls
│   └── Real-time updates
└── Web Interface
    ├── React frontend
    └── WebSocket server

Point Cloud Processing

python
import open3d as o3d
import numpy as np

# Load LiDAR data
pcd = o3d.io.read_point_cloud("mine_scan.ply")

# Remove outliers
cl, ind = pcd.remove_statistical_outlier(
    nb_neighbors=20,
    std_ratio=2.0
)

# Generate mesh
mesh = o3d.geometry.TriangleMesh.create_from_point_cloud_poisson(
    pcd
)[0]

# Export for web rendering
o3d.io.write_triangle_mesh("mine_mesh.obj", mesh)

Web Visualization

javascript
import * as THREE from 'three';
import { OrbitControls } from 'three/examples/jsm/controls/OrbitControls';

// Load 3D model
const loader = new OBJLoader();
loader.load('mine_mesh.obj', (object) => {
  scene.add(object);
  
  // Add equipment markers
  addEquipmentTrackers(scene);
  
  // Start rendering
  animate();
});

Key Features

1. Real-Time Equipment Tracking

GPS-enabled machines show up as markers:

Excavators
Haul trucks
Drilling equipment
Personnel

2. Safety Zones

Color-coded danger areas:

Red: Unstable terrain
Yellow: Restricted zones
Green: Safe areas

3. Measurements

Click anywhere to measure:

Distance
Elevation
Volume calculations
Slope analysis

4. Historical Playback

Replay the mine's evolution:

Daily terrain changes
Equipment paths
Excavation progress

Use Cases

For Mine Operators

Plan excavation routes
Monitor equipment efficiency
Identify safety hazards
Optimize operations

For Safety Officers

Real-time hazard monitoring
Evacuation route planning
Incident investigation
Training simulations

For Geologists

Terrain analysis
Resource estimation
Stability assessment

Technology Stack

Python: Data processing backend
- Open3D for point clouds
- NumPy for computations
- Flask for API server
JavaScript: Frontend visualization
- Three.js for 3D rendering
- React for UI
- Socket.IO for real-time updates
Data Storage:
- PostgreSQL with PostGIS for spatial data
- Redis for real-time tracking
- Object storage for 3D models

Performance Optimizations

Challenge: Large Point Clouds

Typical mine scan: 100 million+ points

Solution:

Octree-based level of detail (LOD)
Streaming chunks based on camera position
GPU-accelerated rendering

Challenge: Real-Time Updates

Equipment positions update every second