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Publication Open Access Piezoelectric Energy Harvesting in Interactive Environments: A Case Study Using a Playpen-Based Prototype(Faculty of Engineering, 2025-09-09) Bandara, H. M. U. J.; Fernando, M. N. V.; Samaranayake,H. D. K.As modern cities evolve towards sustainable and efficient infrastructure, implementation of micro-energy harnessing technologies caught the attention of researchers. This is mostly because non-renewable energy sources are being depleted, and the consequences of them are also marginal to the world. Piezoelectric materials are known for their conversion ability of mechanical stress, such as motion, vibrations, pressure, to electrical energy. This study provides a piezoelectric mechanism-based prototype that demonstrates the suitability of converting mechanical energy to electricity, especially footsteps from people, while being low maintenance and cleaner. In this design, 70 PZT piezoelectric disks are implemented beneath a playpen floor, suspended by a spring mechanism and further suspension components. Output voltages of 9.2V to 11.4V could be observed from this demonstration, with the help of 2-5kg loads applied. 76 LEDs were used to visualize this power in real-time, which also offers interactive feedback for children. The output analysis shows a low-current and somewhat non-linear power output. These results validate the possible outcome of deploying a piezoelectric system in high footfall infrastructure and recreational spaces. Even though it is low powered, such systems can enhance built environment functionality, and further improvements in the design can increase the output of such designs. This project represents a small-scale demonstration of this unpopular yet effective technology.Item Embargo IntelliCross: Adaptive Pedestrian Crossing System(Institute of Electrical and Electronics Engineers Inc., 2025) Dissanayake, U; Weerasekara, D; Sumanasekara, H; Ishara, D; Wijesiri, P; Moonamaldeniya, MUrban traffic management at pedestrian crossings presents considerable issues, such as pedestrian safety, congestion, and effective prioritizing of emergency vehicles. Traditional traffic signal systems are frequently static, unable to respond to real-time changes in pedestrian flow, vehicle density, and environmental variables. To overcome these issues, an IoT-based adaptive pedestrian crossing system, "IntelliCross,"is presented. The system detects emergency vehicle sirens using sound sensors and automatically adjusts pedestrian signals to green to prioritize emergency vehicle passage, resulting in faster response times and shorter delays. Furthermore, machine learning algorithms alter signal timings based on real-time pedestrian counts and vehicle density, assuring smooth traffic flow and pedestrian safety. Vulnerable pedestrians, such as the elderly and disabled, are accommodated by dynamically extending green light durations to ensure safe crossing. The technology also includes real-time meteorological data, such as rain, to extend green light durations and improve pedestrian safety. IntelliCross, by combining IoT sensors with machine learning, offers a scalable and cost-effective solution for improving urban traffic management, closing crucial gaps in present systems, and contributing to the development of smart cities. Public surveys demonstrate considerable support for systems that prioritize emergency vehicles while also assuring pedestrian safety, proving the system's ability to revolutionize urban traffic infrastructure.