• Robin Singh
• Shiburaj Professor
• Siddhant Poojary

Image Processing is a form of processing media with the input of video or image and transforming the input into output with certain technique. In this project, we will create a real time fire detection system with the help of camera using machine learning, computer vision and apply the concepts of image processing and python automation in order to get the real-time detection results via mobile notification techniques. If there is a fire detected by the camera, then the footage will be processed using image processing and then the resultant data will be forwarded to the concerned personnel. Fire detection with low –latency using color information has many applications in computer vision and other domains. The light parameter and the color of the flame helps in detecting fire. Our model has many advantages over traditional methods of fire detection, such as simplicity, practicality and cost efficient.

Fire Detection, Computer Vision, Machine Learning, Image Processing, Deep Learning, Automation Techniques.

"Real Time, Low Latency Fire Detection And Alert System ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 4, page no.g245-g258, April-2022, Available :http://www.jetir.org/papers/JETIR2204637.pdf

"Real Time, Low Latency Fire Detection And Alert System ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 4, page no. ppg245-g258, April-2022, Available at : http://www.jetir.org/papers/JETIR2204637.pdf