Efficient Fire Detection and Automation Using Haar Cascade

In the current scenario breaking out fire is a common thing that occurs everywhere, and this may also cause many damages for both nature and humans. Here the system aims at the major role on detecting fire that provides more information which helps to compare using sensor. The detection process is done by using the method of image process. The prediction using image detection provides more accuracy rather than any other detection process. The dataset that is used for fire detection is totally to be about 1750 images. The images which are downloaded through internet are needed to be resized and reshaped. After detecting the fire, the system provides the alert through Blynk IoT app.