Fire Detection and Prevention Using UAV By Machine Learning and Open CV Implementation

Abstract

At present, the world has changed a lot with the help of new technology. At present different countries are using new technologies. In keeping pace with the world, we will present our country to the world. Currently, various companies or organizations in our country are using new technologies to increase their capabilities. In addition, these technologies have to be bought from different countries at much higher prices. Therefore, we plan to build a fire detector UAV. Which different companies or organizations of our country have had to buy from different countries by spending a lot of money. Again, many companies or organizations are doing a lot of risky work by using workers because it is expensive. As a result, the death rate of workers in the country is also increasing and the amount of damage is increasing. Our goal was to create a fire detector UAV. It will fly autonomously and detect fire quickly and will assist in informing the authorities about the fire. We have been able to show 80% of the work in the demo project so far. The problem with our program part is that all the modules are done separately. I have uploaded the code to nodemcu. Add different modules to the nodemcu such as:- Flame sensor, 5V buzzer. Raspberry Pi is also used so the Pi camera can detect fire with it. The work of the demo prototype is finished. Currently it can detect the fire and sent a notification to the authority and alarm sounds. In addition, the flame sensor help to detect fire and sounds through the buzzer. We will continue to work in the future to extinguishing fire.