Survey on Industrial AI: A Comprehensive Approach to Restricted Area Monitoring, Safety Equipment Detection, Pose Detection, and Fire Detection

Survey on Industrial AI: A Comprehensive Approach to Restricted Area Monitoring, Safety Equipment Detection, Pose Detection, and Fire Detection

Onkar Jadhav¹, Rohit Nehul1, Raj Dalvi1, Satyan Parlikar1, Prof. Dr. C. A. Ghuge2

1Student, Dept. of Artificial Intelligence & Machine Learning Engineering, PES’s Modern College of Engineering, Pune, Maharashtra, India
2Professor, Dept. of Artificial Intelligence & Machine Learning Engineering, PES’s Modern College of Engineering, Pune, Maharashtra, India

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ABSTRACT

Industrial AI has rapidly evolved as a critical technology that enhances security, safety, and operational efficiency in industrial environments. This survey provides a comprehensive overview of key Industrial AI modules, including restricted area monitoring, safety equipment detection, pose detection, and fire detection. We explore how these modules integrate into existing industrial infrastructures, improving real-time safety monitoring and emergency response systems. Future research directions on these topics are also outlined- developments such as edge computing, AI-augmented human collaboration, and improvements in detection accuracy. This work aspires to show a comprehensive understanding of the Industrial AI application and its promise to change the very nature of operations involving safety and production in industries.

Keywords: Industrial AI, Restricted Area Monitoring, Safety Equipment Detection, Pose Detection, Fire Detection, Machine Learning, Computer Vision, Edge Computing, Human-AI Collaboration.