IoT-Based Real-Time Monitoring System for Laboratory Hazards

Laboratories are environments that often involve hazardous materials and sensitive equipment, making safety a top priority. Traditional hazard detection methods rely heavily on manual supervision and periodic checks, which can be slow, inefficient, and prone to human error. This project proposes the development of an IoT-based real-time monitoring system aimed at enhancing laboratory safety by continuously detecting and alerting users of potential hazards such as gas leaks, fire, smoke, and abnormal temperature or humidity levels. The system integrates various environmental sensors (e.g., gas, temperature, humidity, smoke) with a microcontroller (such as ESP32 or NodeMCU) connected to a wireless network. Sensor data is transmitted in real time to an IoT platform where it is visualized and monitored. When critical thresholds are breached, the system instantly sends alerts via mobile applications, emails, or SMS, allowing for timely intervention. Additionally, the system supports remote access and historical data logging to improve preventive maintenance and safety analysis. The proposed solution is low-cost, scalable, and suitable for academic, research, and industrial laboratory environments, significantly improving hazard detection and response times.