Real Tıme AI, Computer Vısıon Based Framework To Detect And Prevent Lıquıd Metal Fıre Hazards

  • Praveen Sankarasubramanian, Dr. E.N. Ganesh

Abstract

Fire hazards are common while handling combustible fluids. It frequently brings human deaths and loss of properties. Research on proficient fire identification and stifling discovery frameworks has become a hotly debated issue in industries. In any case, shows frameworks are either PLC or microcontroller or computer-vision frameworks based frameworks. The yield prompts a higher bogus caution rate or the framework will a rule-based. In this paper, we propose an AI  with conventional sensor-based ways to deal with identifying a fire in indoor and open-air situations. Various topologies of data from the video gained by the cameras and sensors are consolidated and investigated by the proposed framework to expand the general unwavering quality of the approach and decrease the bogus positives distinguished by the framework

Published
2020-06-01
How to Cite
Praveen Sankarasubramanian, Dr. E.N. Ganesh. (2020). Real Tıme AI, Computer Vısıon Based Framework To Detect And Prevent Lıquıd Metal Fıre Hazards. International Journal of Advanced Science and Technology, 29(08), 3796-3806. Retrieved from https://sersc.org/journals/index.php/IJAST/article/view/26097
Section
Articles