INTEGRATING IOT AND AI TECHNOLOGIES FOR REAL-TIME SAFETY MONITORING IN INDUSTRIAL SETTING

INTEGRATING IOT AND AI TECHNOLOGIES FOR REAL-TIME SAFETY MONITORING IN INDUSTRIAL SETTING
Author(s):
Ravi Kant Dubey, Dr. P. Karunakaran
Keywords:
Internet of Things (IoT), Artificial Intelligence (AI), safety-related incidents, intelligent safety monitoring.
Abstract
This project focuses on the integration of Internet of Things (IoT) and Artificial Intelligence (AI) technologies to establish a robust system for real-time safety monitoring in industrial settings. The convergence of IoT sensors and AI algorithms enables the continuous collection and analysis of data from various sensors, such as cameras, environmental sensors, and wearable devices. This data is processed in real-time to detect and respond to safety-related incidents, ensuring the well-being of personnel and the efficient operation of industrial processes. The project's key objectives include the development of scalable and adaptable system architecture, the implementation of AI-driven anomaly detection algorithms, and the provision of actionable insights to enhance safety protocols. By combining IoT and AI, this project strives to create a proactive and intelligent safety monitoring solution that significantly reduces risks and enhances overall industrial workplace safety.
Article Details
Unique Paper ID: 163193 Publication Volume & Issue: Volume 10, Issue 11 Page(s): 858 - 867
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