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In recent years, the convergence of the Internet of Things (IoT) and Machine Learning (ML) has paved the way for groundbreaking advancements in various fields. This review paper explores the potential of ML with IoT in the context of safety across diverse applications. Our study focuses on integrating ML algorithms with IoT-enabled devices to create intelligent safety solutions. We can spot unusual events in real-time and keep intruders from IoT networks. This helps us protect IoT devices and make them more secure and safe from cyber threats. Additionally, we look closer at how ML and IoT devices work together to enhance healthcare monitoring and keep patients safe. This partnership allows for constant monitoring and timely actions, improving patient results. Furthermore, our research highlights the challenges and opportunities in deploying ML-IoT safety solutions, emphasizing scalability, data privacy, and ethical considerations.

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Enhancing Safety Through Machine Learning and IoT Integration

  • 会议论文

  • 发表日期：

    2026年

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  • Guru Sujan Madem,
  • Sambhav Jain,
  • Nardeep Singh Shekhawat,
  • Amrit Singh Chauhan,
  • Harsha Vardhan Kandregula,
  • Balraj Singh

摘要

In recent years, the convergence of the Internet of Things (IoT) and Machine Learning (ML) has paved the way for groundbreaking advancements in various fields. This review paper explores the potential of ML with IoT in the context of safety across diverse applications. Our study focuses on integrating ML algorithms with IoT-enabled devices to create intelligent safety solutions. We can spot unusual events in real-time and keep intruders from IoT networks. This helps us protect IoT devices and make them more secure and safe from cyber threats. Additionally, we look closer at how ML and IoT devices work together to enhance healthcare monitoring and keep patients safe. This partnership allows for constant monitoring and timely actions, improving patient results. Furthermore, our research highlights the challenges and opportunities in deploying ML-IoT safety solutions, emphasizing scalability, data privacy, and ethical considerations.