The objective of this project is to advance workplace safety by deploying IoT-enabled industrial monitoring systems. Through the integration of IoT sensors and data analytics, the system will enable enhanced real-time monitoring of environmental conditions and machinery operations. This initiative aims to mitigate accidents and elevate safety standards across industrial workplaces.
This project focuses on enhancing workplace safety through an IoT-enabled industrial monitoring system. Utilizing an Arduino Uno microcontroller, the system integrates various sensors to monitor critical environmental parameters. A DHT11 sensor measures temperature and humidity, a fire sensor detects fire hazards, a gas sensor identifies the presence of harmful gases, and a BMP180 sensor monitors atmospheric pressure. The NodeMCU module transmits collected data to the ThingSpeak IoT platform for real-time analysis and visualization. An LCD display provides on-site data visualization, while a buzzer issues immediate sound alerts in response to detected anomalies. This comprehensive system aims to improve workplace safety by enabling proactive monitoring and swift response to potential hazards..
Keywords: Arduino Uno, DHT11 sensor, LCD, NodeMCU, GSM, Buzzer, BMP180.
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

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