13Artificial Intelligence in Indoor or Outdoor Surveillance Systems: A Systematic View, Principles, Challenges and Applications
Varun Gupta1, Tushar Bansal1*, Vinay Kumar Yadav2 and Dhrubajyoti Bhowmik3
1Amity Business School, Noida, U.P., India
2Glocal University, Saharanpur, Uttar Pradesh, India
3Department of Computer Science and Engineering, NIT Agartala, W.B., India
Abstract
In recent years, the integration of Artificial Intelligence (AI) into indoor and outdoor surveillance systems has revolutionized the field of security and monitoring. This book chapter provides a comprehensive and systematic exploration of the role of AI in surveillance, offering a detailed overview of its principles, challenges, and wide-ranging applications. The chapter begins with an examination of the fundamental principles underlying AI-driven surveillance systems. It delves into the core concepts of machine learning, computer vision, and deep learning, elucidating how these technologies are harnessed to enhance the intelligence of surveillance systems. Special attention is given to the advancements in object recognition, behavior analysis, and anomaly detection, which are pivotal components of modern surveillance AI. Addressing the challenges associated with indoor and outdoor surveillance, the chapter discusses issues such as data privacy, scalability, and real-time processing. It also explores the integration of sensor networks, drones, and edge computing to overcome these challenges, enabling ...
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