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The power of AI, IoT, and advanced quantum based optical systems in smart cities

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Abstract

This paper explores the transformative fusion of Quantum computing, Artificial Intelligence (AI), the Internet of Things (IoT), and advanced optical systems within smart city development. A significant innovation within this study is the concept of “optical IoT,” wherein IoT relies on advanced optical technologies, including high-resolution cameras, LiDAR scanners, meters, sensors, and wearables, strategically distributed throughout urban environments for real-time image data acquisition. Traditional smart city models may rely on conventional data acquisition methods that are not real-time or high-resolution, leading to delayed and less accurate urban management decisions. Existing models might use disparate systems for monitoring and management, which can result in inefficient resource allocation and coordination, especially in critical situations like emergency response. In this research Advanced Smart City Architecture (ASCA) this integration empowers the system to excel in tasks such as semantic segmentation, enabling precise identification and categorization of urban elements. Quantum optical systems are employed in quantum-enhanced sensors, such as quantum-enhanced interferometers and atomic clocks. These sensors offer improved precision for measurements like distance, time, and acceleration. The ASCA approach equips city planners, administrators, and emergency responders with real-time urban monitoring and management capabilities. This dynamic system yields numerous advantages, including optimized resource allocation, enhanced traffic management, improved environmental quality, and swift emergency response capabilities. This research underscores the immense potential of ASCA in reshaping urban development and sustainability within smart cities. By harmonizing AI, IoT, and advanced optical systems, this paradigm shift enables smart cities to evolve into more efficient and resilient urban environments. These cities become finely attuned to the ever-evolving needs of their residents, ultimately fostering innovation and progress at an unprecedented scale. Proposed ASCA achieves an impressive 91.98% enhancement in sustainable smart city development when compared to these existing techniques.

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Data availability

The datasets used and/or analyzed during the current study are available from the corresponding author upon reasonable request.

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Funding

This research received no specific grant from any funding agency.

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Authors and Affiliations

  1. Department of Computer Science & Engineering, Alliance College of Engineering and Design, Alliance University, Bangalore, Karnataka, India

    N. Rajkumar & C. Viji

  2. Department of Information Technology, VR Siddhartha Engineering College, Kanuru, Vijayawada, India

    Pandala Madhavi Latha

  3. Department of Information Technology, SSM College of Engineering, Kumarapalayam, Namakkal, India

    V. Baby Vennila

  4. Department of Electrical and Electronics Engineering, M. Kumarasamy College of Engineering, Karur, India

    Sathish Kumar Shanmugam

  5. Department of Electronics and Communication Engineering, Sri Ramakrishna Engineering College, Coimbatore, India

    Nataraj Boothalingam Pillai

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  1. N. Rajkumar
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  2. C. Viji
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  4. V. Baby Vennila
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  5. Sathish Kumar Shanmugam
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Contributions

NR: Conceptualization, Methodology, Formal analysis, Supervision, Writing—original draft, Writing—review & editing. CV: Writing—original draft, Writing—review & editing. MLP: Investigation, Data Curation, Validation, Resources, Writing—review & editing. VBV: Investigation, Data Curation, Validation, Resources, Writing—review & editing. SKS: Data Curation, Validation, Resources, Writing—review & editing. NBP: Investigation, Data Curation, Validation, Resources, Writing—review & editing.

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Correspondence to N. Rajkumar.

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Rajkumar, N., Viji, C., Latha, P.M. et al. The power of AI, IoT, and advanced quantum based optical systems in smart cities. Opt Quant Electron 56, 450 (2024). https://doi.org/10.1007/s11082-023-06065-0

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