Sign Language Recognition Using Deep Learning

Authors: Ms. Sayali Vasantrao Gund, Asst. Prof. S. A. Nandi

Abstract: The rapid growth of urban infrastructure has increased the demand for energy-efficient and sustainable construction materials. This study focuses on the integration of IoT-based temperature sensors within plastic-perlite composite bricks to enhance building energy monitoring and management. The proposed system utilizes waste plastic as a partial replacement material combined with expanded perlite to develop lightweight, thermally efficient, and eco-friendly building units compatible with standard M20-grade concrete structures. IoT temperature sensors (DS18B20) are embedded within the composite bricks to continuously monitor internal and external temperature variations, enabling real-time data collection and analysis through wireless communication modules. Laboratory tests, including compressive strength, thermal conductivity, and water absorption, are conducted to evaluate the structural and thermal behavior of the developed bricks. The experimental results show that the integration of perlite and waste plastic significantly improves thermal resistance, reduces heat transfer, and decreases structural dead load by lowering the average brick density to 821–907 kg/m³ compared to 1800 kg/m³ for conventional units. This research promotes the development of sustainable smart construction materials, aligning with modern green building technologies and the global agenda for energy efficiency.