Detection and Monitoring of Forest Fire using Patrolling Drone
Forest fires occur every year and are considered very extensive in view of small size of the forest. However no qualitative data on the occurrence of forest fires in the country is available for the formulation of a strategy. Drones are really common these days which are mostly utilized for t
2025-06-28 16:26:38 - Adil Khan
Detection and Monitoring of Forest Fire using Patrolling Drone
Project Area of Specialization Artificial IntelligenceProject SummaryForest fires occur every year and are considered very extensive in view of small size of the forest. However no qualitative data on the occurrence of forest fires in the country is available for the formulation of a strategy.
Drones are really common these days which are mostly utilized for the photography purposes but making it useful for a healthy environment is the outcome of this project.
The main purpose is to detect a forest fire in its earliest stage possible by implementing a surveillance system. Moreover, this surveillance system consists of a patrolling drone that will use the technique of image processing for a specific area i.e. forest.
Project Objectives- To conduct research in the field of drone applications.
- Design and construction of Drone
- Image Processing based Technique Research
- Selection of OS i.e. Raspberry Pi 4
- Practical implementation of I.P
- Data transmission through ESP-32
- Components assembling
- Final installation and contributing for the better future
- Select Raspberry Pi 4 operating system
- Install Thonny Python software
- Write the relevant code in Python Script
- For data transmission use Module ESP-32
- Select Neo 6M GPS for live location
- Very useful for healthy environment
- Time and human effort saving
- Wildlife and assets can be saved
- To decrease human efforts in the time of search and rescue
- Disaster response, asset protection, wildlife monitoring
•Project is software as well as hardware based. So, first we completed the literature review and then started working on it.
•At start , our main focus was the selection of apparatus
•After that we selected the model numbers of each components.
• Model number was selected on the basis of availability in market and to meet our project requirements.
•Microprocessor is Raspberry PI-4
•Drone will be designed on the basis of apparatus assembling
Final Deliverable of the Project Hardware SystemCore Industry HealthOther Industries Agriculture , Security Core Technology Artificial Intelligence(AI)Other TechnologiesSustainable Development Goals Good Health and Well-Being for PeopleRequired Resources| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Total in (Rs) | 79500 | |||
| Neo 6M GPS Module | Equipment | 1 | 1000 | 1000 |
| DJI 920KV BLDC Motor | Equipment | 4 | 2500 | 10000 |
| DJI AutoLocking Propellers | Equipment | 4 | 1500 | 6000 |
| CC3D Flight Controller | Equipment | 1 | 6000 | 6000 |
| Microzone 6 Channel Transmitter Reciever | Equipment | 1 | 7000 | 7000 |
| 3300 mAh 11.1v 3s Lipo Battery | Equipment | 2 | 6000 | 12000 |
| Raspberry Pi Zero W | Equipment | 1 | 15000 | 15000 |
| 15 Amps DJI E300 Electronic Speed Controller | Equipment | 4 | 1000 | 4000 |
| Nodemcu | Equipment | 1 | 1000 | 1000 |
| F450 Drone Chasis | Equipment | 1 | 5500 | 5500 |
| Raspberry Pi 5MP Camera Module | Equipment | 1 | 1500 | 1500 |
| B3 Pro Battery Charger | Equipment | 1 | 1000 | 1000 |
| Overhead Cost | Miscellaneous | 1 | 7500 | 7500 |
| Stationary | Miscellaneous | 1 | 2000 | 2000 |