AN AUTOMATIC FIRE DETECTION & LOCALIZATION USING WEB CAMERA WITH VIDEO ALARM SYSTEM
Keywords:
Automatic Fire Detection, Surveillance Camera, Haar Algorithm, Computer Vision, Real-Time Video Analysis, Twilio API, Life-Saving Technology, Python Programming, Open CV Libraries.Abstract
This project is about a new way to automatically find and pinpoint fires using a regular camera. It uses a computer program (Haar algorithm) to watch live video from the camera and look for fire. If it sees a fire, the system sends a text message and calls someone (using Twilio) to let them know right away. The camera's position also helps the system figure out exactly where the fire is, so firefighters can get there faster and put it out easier.
This system is a reliable and fast way to find fires early, which can save lives and prevent a lot of damage. The project is built using Python computer code and uses tools called OpenCV libraries. Tests show that this new way of finding and pinpointing fires with a camera actually works.
This project is important because it can be used in many places, like apartment buildings, houses, factories, and anywhere else where safety is important. By finding fires right away and knowing where they are, this system can help keep people safe and make places safer from fire. In short, this project is a big step forward in fire safety and could help save many lives.
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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.