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https://github.com/rdrahul123/drona
Drone- An Unmanned Aerial Vehicle (UAV) based on Artificial Intelligence and Machine Learning (AIML) represents the next level of innovation in bomb detection and neutralization technology.
https://github.com/rdrahul123/drona
arduino drone internet-of-things machine-learning unmanned-aerial-vehicle
Last synced: 9 days ago
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Drone- An Unmanned Aerial Vehicle (UAV) based on Artificial Intelligence and Machine Learning (AIML) represents the next level of innovation in bomb detection and neutralization technology.
- Host: GitHub
- URL: https://github.com/rdrahul123/drona
- Owner: RDrahul123
- Created: 2021-04-05T18:37:37.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2024-04-20T17:12:29.000Z (7 months ago)
- Last Synced: 2024-04-20T18:43:07.434Z (7 months ago)
- Topics: arduino, drone, internet-of-things, machine-learning, unmanned-aerial-vehicle
- Language: C++
- Homepage:
- Size: 12 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Project Drona (Bomb Detection)
## Introduction
The military has been at the forefront of deploying machines to overcome the risks associated with human-led landmine detection processes. Our project, Drona, aims to integrate and evaluate a set of low-cost technologies to autonomously detect explosive landmines without compromising mission safety. Our goal includes detecting both fully visible and partially buried landmines, utilizing fully autonomous systems that don't require human intervention for monitoring detection and deactivation.
### Project Benefits
1. Easy Bomb or Landmine Location
2. Autonomous Handling
3. Simple Detonation Process
4. Remote Control
5. Ideal for Patrolling
6. Restricted Remote Access (Not globally accessible)## Project Scope
1. Detection and Detonation without Human Intervention
2. Large Sector Area Patrolling
3. Utilizing Low-cost Technologies## Problem Statement
Explosive landmines have claimed numerous lives worldwide, prompting the need for safer detection methods. Can we overcome this with advanced technology?
## Objectives
1. Integration and evaluation of low-cost technologies
2. Detection of visible and partially buried landmines
3. Implementation of fully autonomous systems for detection and deactivation## Intended User
Defense systems and local police departments.
## Existing Systems
1. Drone designed by Harshwardhan Zala for landmine detection and detonation.
2. Spectro Drone by Laser Detect Systems, Israel.
3. Raider-X by DRDO and Indian Institute of Science, Bangalore.## Proposed System
We propose a drone equipped with RADAR for bomb detection, capable of operating up to 15 km range. The drone is waterproof, operates in darkness, and includes GPS locator and automatic return functionality. Additionally, it features a wireless camera with servo motor for wide area coverage.
![1 _ATRÁS-removebg-preview](https://user-images.githubusercontent.com/44129972/195162434-f4406004-5d40-4f5f-960d-5d529b542980.png)
### System Features
1. Bomb Detection
2. Bomb Detonation
3. Patrolling
4. 75% Autonomous Operation
5. Utilization of Radar and Laser Technology## Hardware Requirements
1. Arduino Circuit
2. Bluetooth Module HC-05
3. Knock Sensor
4. PIR Sensor
5. Electrical Impedance Tomography (EIT)
6. X-Ray Backscatter
7. Explosives Vapor Detection Technique
8. IR Sensor
9. Ultrasonic Sensor
10. GPRS SensorThe circuit we had followed for the drone is given as
![DIY-follow-me-drone-assembling-drone-6](https://user-images.githubusercontent.com/44129972/195162748-9d8eb88b-8ec0-4338-a049-f5dffdd47e39.png)
## Software Requirements
1. Python IDLE
2. MySQL Cloud Server
3. Arduino Editor
4. OPEN NEURAL NETWORK EXCHANGE (ONNEX)## Expected Outcomes
1. Reduction in casualties due to bomb attacks.
2. Efficient bomb detection within a 15 km range.
3. Enhanced protection against enemies.## Conclusion
Bomb attacks pose a significant threat to public safety. By integrating low-cost technologies, such as drone-based detection, we aim to enhance efficiency and protect lives.
### Limitations
1. Limited Frequency Range
2. Non-Real-Time Isolation
3. Potential Issues with Detection and Detonation## Future Enhancements
1. Full Autonomous Functionality
2. Enhanced Data Set
3. Design Improvements