ABSTRACT
Gas leakage is one of the most serious accidents that can occur in industrial establishments. This can result in a variety of losses, fatalities, and major equipment damage. To protect against gas leakage in our environment, sophisticated emergency management systems must be put in place. In this regard, we propose a leak detection system that collects sensor data with effective parameters in real time and detects leakage in the pipeline using machine learning and ensures that the system is completely automated.
