Development of Chemi-resistive Polymeric Sensors for Innovations in Smart Buildings Interfacing with AI Systems

Year : 2026 | Volume : 14 | Special Issue 01 | Page : 1426 1438
    By

    Syed Jamalulla Basha,

  • J. Lakshmi Prasanna,

  • M. Ravi Kumar,

  • Dhulipala Navya Sri Vidya,

  • Chella Santhosh,

  1. M.Tech Scholar, Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, India
  2. Assistant Professor, Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Bowrampet, Hyderabad, Telangana, India
  3. Associate Professor, Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, India
  4. M.Tech Scholar, Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, India
  5. Associate Professor, Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, India

Abstract

The Elevator efficiency has become a critical concern in modern buildings, where frequent, unnecessary stops are a major inconvenience for tenants and contribute to significant energy consumption. Traditional elevator systems often halt on every floor, even when not required, leading to inefficiencies that are particularly costly in high-rise buildings. This paper proposes a smart elevator system using Artificial Intelligence (AI) and image processing to address these issues. By intelligently analyzing passenger requests, the system enables the elevator to stop only at desired floors, minimizing unnecessary stops and optimizing energy use. Furthermore, the incorporation of lightweight polymer composites in elevator cabins and sensor housings reduces structural weight and enhances system durability, further improving power efficiency. These materials improve comfort and system dependability by offering superior strength-to-weight ratio, corrosion resistance, and vibration damping. For safer operation, the incorporation of polymer nanocomposites offers enhanced fire retardancy and extra strength-to-weight advantages. Additionally, by facilitating recyclability and reducing material costs, polymer integration promotes sustainability. This innovative approach promises enhanced operational efficiency, improved user experience, and substantial power savings, marking a significant advancement in elevator technology for sustainable urban infrastructure. A more effective, long-lasting, and environmentally friendly elevator solution that meets the requirements of contemporary smart cities is produced by combining polymer composite engineering with AI-based intelligent control.

Keywords: Deep learning, floor prediction, image processing, power saving, smart elevator, YOLO object detection.

[This article belongs to Special Issue under section in Journal of Polymer & Composites (jopc)]

How to cite this article:
Syed Jamalulla Basha, J. Lakshmi Prasanna, M. Ravi Kumar, Dhulipala Navya Sri Vidya, Chella Santhosh. Development of Chemi-resistive Polymeric Sensors for Innovations in Smart Buildings Interfacing with AI Systems. Journal of Polymer & Composites. 2026; 14(01):1426-1438.
How to cite this URL:
Syed Jamalulla Basha, J. Lakshmi Prasanna, M. Ravi Kumar, Dhulipala Navya Sri Vidya, Chella Santhosh. Development of Chemi-resistive Polymeric Sensors for Innovations in Smart Buildings Interfacing with AI Systems. Journal of Polymer & Composites. 2026; 14(01):1426-1438. Available from: https://journals.stmjournals.com/jopc/article=2026/view=237674


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Special Issue Subscription Original Research
Volume 14
Special Issue 01
Received 27/10/2025
Accepted 15/11/2025
Published 26/02/2026
Publication Time 122 Days
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