IJAIEM

P. Rama Krishnaveni , G. Brundavani , G. Harshini , M. S. Faraz Basha , K. Keerthika , G. Murthy

Abstract

Industrial safety is a critical concern in high-risk sectors such as petroleum, chemical, and oil industries, where hazardous conditions can result in severe incidents. This study introduces an advanced safety framework utilizing the Internet of Things (IoT) to enhance workplace security. By integrating various sensors, including flame detectors, gas analyzers, and environmental monitors, the system enables real-time hazard detection. The Arduino UNO functions as the central processing unit, continuously monitoring parameters like temperature, humidity, and light intensity. Through IoT connectivity, data is seamlessly transmitted to a cloud platform, allowing remote access and analysis. This intelligent system enhances safety protocols by enabling early risk identification and rapid response. Additionally, real-time data processing facilitates predictive maintenance and proactive hazard mitigation. By combining continuous monitoring with smart analytics, this approach significa