Smart India Hackathon 2026 — SIH26007
Safe and Efficient Operation of Mine Vehicles in Fog and Low-Visibility Conditions in Open Cast Iron Ore Mines.
Open-cast iron ore mines can experience extremely poor visibility during severe monsoon and fog conditions. Visibility can fall to only a few metres, making it difficult for operators of heavy dumpers and haul vehicles to detect nearby vehicles and obstacles.
This can lead to:
- Increased collision and road-accident risk
- Reduced vehicle speed
- Longer haul cycles
- Reduced fleet utilization
- Production and ore-evacuation losses
- Difficulty maintaining safe operations during low visibility
SMYGN32 is a predictive mine-vehicle safety system designed to improve situational awareness and reduce collision risk during fog and low-visibility conditions.
The system combines:
Sense → Share → Fuse → Predict → Assess → Warn
SMYGN32 combines local sensor information with vehicle-state information to estimate potential conflicts between vehicles and provide appropriate safety alerts and speed recommendations.
- Multi-sensor perception
- Radar-based distance awareness
- LiDAR-based environment perception
- GNSS / DGPS positioning
- IMU-based vehicle motion sensing
- Vehicle-to-Vehicle (V2V) communication
- Vehicle-to-Infrastructure (V2I) communication
- Sensor fusion
- Trajectory prediction
- Time-to-Collision (TTC)
- Collision-risk assessment
- Dynamic safe-speed recommendation
- Driver alerts
- Mine control-center monitoring
- Digital twin / fleet visualization
SMYGN32 is developed using two complementary prototypes.
A scaled vehicle prototype demonstrates:
- Vehicle movement using a 4WD chassis
- HC-SR04 distance sensing
- MPU6050 motion sensing
- OLED status display
- Green / Yellow / Red safety indicators
- Buzzer-based warning
- L298N motor control
- Automatic motor-speed reduction and stopping based on detected risk
The current physical prototype is a scaled proof-of-concept. Industrial-grade sensing, positioning and V2V communication are part of the extended system architecture.
The digital simulation demonstrates:
- Multi-vehicle traffic
- Simulated Radar and LiDAR
- GPS / DGPS positioning
- Simulated V2V communication
- Sensor-fusion confidence
- Vehicle trajectory prediction
- Time-to-Collision (TTC)
- Collision-risk assessment
- Safe-speed recommendation
- Fleet monitoring
- Command-center visualization
- Collision-avoidance scenarios
- Dense-fog conditions
Radar + LiDAR + Camera/Thermal + GNSS / DGPS + IMU + V2V / V2I ↓ Sensor Fusion ↓ Environment Analysis ↓ Object Tracking ↓ Trajectory Prediction ↓ TTC + Risk Engine ↓ Safe Speed / Alert Decision ↓ Driver / Vehicle Safety ↓ Mine Control Center 🚦 Safety Decision Concept
The prototype uses three safety states:
State Meaning Prototype Response 🟢 SAFE Low collision risk Normal operation 🟡 CAUTION Increased risk Reduce speed / warning 🔴 CRITICAL High collision risk Stop / emergency warning
The thresholds used in the prototypes are demonstration parameters and are not industrial safety standards.
🎥 Demonstrations
Complete hardware and digital-simulation demonstrations are available in:
View Demonstration Videos
📁 Repository Structure SMYGN32/ │ ├── digital-simulation/ │ ├── simulation.py │ ├── requirements.txt │ └── README.md │ ├── hardware-prototype/ │ ├── firmware/ │ │ └── SMYGN32_Hardware.ino │ └── README.md │ ├── documentation/ │ ├── demonstrations/ │ │ ├── README.md │ │ ├── SMYGN32_Digital_Simulation_Demonstration.mp4 │ │ └── SMYGN32_Hardware_Demonstration.mp4 │ │ │ ├── diagrams/ │ │ └── SMYGN32_Circuit_Diagram.png │ │ │ └── presentation/ │ └── SMYGN32_SIH_Presentation.pptx │ ├── LICENSE ├── .gitignore └── README.md ⚙️ Current Project Status
Prototype Stage — Proof of Concept
The project currently includes a working physical prototype and a digital predictive-safety simulation.
The architecture is designed to support future integration of industrial-grade radar, LiDAR, thermal imaging, GNSS/DGPS and real V2V/V2I communication systems.
🎯 Expected Impact
SMYGN32 aims to:
Improve mine-vehicle situational awareness Reduce collision risk in low visibility Support safer vehicle speeds Reduce unnecessary vehicle stoppages Improve fleet utilization Maintain safer haulage during monsoon conditions Provide real-time fleet visibility to mine operators Create a scalable foundation for intelligent mine-vehicle safety 🏆 Smart India Hackathon 2026
Problem Statement: SIH26007 Organization: Ministry of Steel Department: NMDC Category: Hardware Theme: Smart Automation
👥 Team Team SMYGN32
Smart India Hackathon 2026
V2V-Enabled Collision and Trajectory Risk Assessment
📌 Disclaimer
SMYGN32 is a scaled proof-of-concept developed for Smart India Hackathon 2026.
The physical prototype and digital simulation are intended to demonstrate the proposed safety architecture and decision-making concept. Deployment in an operational mine would require industrial-grade sensors, certified vehicle interfaces, validated communication systems, rigorous field testing and appropriate safety certification.