Abstract
In today’s world disaster’s such as fire has become a very interesting topic in research and plays a very important role in the development of the smart environment. Disasters such as fire has caused many social and economic damages. We can prevent the damages by the early detection of the fire. The current advancement has permitted the detection of the fire using vision based. We have used various AI techniques such as CNN, RNN, ATT Squeeze net, HSV, YOLOV3 and compare the accuracy. To validate our system, dataset of approximately 3000 images is considered. Dataset consist of both fire and non-fire images.prove the validity of our method we will be using. We have trained the system using different AI Techniques and calculated the accuracy by detecting the fire in real time.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal for Modern Trends in Science and Technology
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
