Autonomous-Disaster-Management-Drone-System.pdf

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1. Autonomous Disaster Management
Drone System
An intelligent aerial drone system designed for real-time disaster
response. Detects humans and animals, sends GPS data, and
generates 3D maps. Supports rescue and supply missions with smart
collaboration.
Team Members:
T. Sai Srikar
Sahil
Nancy
Sneha
Aashish
Bhupendar

2. Problem Statement
Traditional Methods Limits
Risky, slow, and lacking real-time precision in rescue
operations.
Critical Hour Delays
Manual rescue delays cost lives in early disaster
hours.
Terrain Challenges
Blocked paths and vast floods hinder comprehensive
human scanning.
Low Tech in Disaster Management
India's disaster response technology use remains
minimal and outdated.

3. Targeted Solutions for Disasters
Floods
•Detects stranded humans and
animals accurately.
•Sends live GPS for rapid aid
delivery by drones and rescue.
Earthquakes
•Creates 3D maps highlighting best
accessible routes.
•Pinpointslocations of survivors
for rescue.
Man-made Disasters
•Enters unsafe areas unsuitable for
humans.
•Locates trapped individuals and
dangerous zones.

4. Drone System Architecture
1Detection Technology
Camera plus YOLO module identifies humans and
animals.
2Processing Unit
Raspberry Pi transmits GPS coordinates to command
base.
3Mapping & Navigation
360°LiDAR enables obstacle avoidance and 3D map
creation.
4Capabilities
Accesses unreachable zones and drops supply kits
remotely.

5. Core Components & Technology
Flight Controller Pixhawk
Microprocessor Raspberry Pi 4
Camera Module Pi Camera V2 or CSI compatible
Object Detection YOLOv5 on-device
Mapping & Obstacle Avoidance 360°LiDAR (RPLiDAR A1/A2)
Communication Telemetry and optional ESP32
mesh
Swarm Control (additional) Planned with ROS2 integration

6. Estimated Component Costs (INR)
6000
Raspberry Pi 4 (4GB)
1500
Pi Camera Module
12000
360°LiDAR Sensor
1000
Wiring, Frame & Add-ons
20500
Total New Buys

7. Stretch Features & Future Enhancements
Swarm Integration
Multiple drones collaborate to
cover large disaster areas quickly.
Thermal Imaging
Detects victims in low visibility or
obscured environments.
Advanced 3D LiDAR
Provides superior spatial resolution
of affected terrain.
Edge AI Processing
Enables autonomous offline data analysis and decision-making
Guiding best paths to rescue for quicker response.