Browsing by Author "Raveendran, K"

Filter results by typing the first few letters
Now showing 1 - 2 of 2
  • Thumbnail Image
    PublicationOpen Access
    Medi-Fly-DR: A Communication-Enabled UAV Micro-Infrastructure for Disaster-Resilient Healthcare Logistics
    (Sri Lanka Institute of Information Technology, 2026-05-21) Raveendran, K; Vithiyasahar, V; Karuneswaran, G; Abeygunawardhana,P.K.W
    Disasters disrupt healthcare delivery by damaging transport routes and weakening the communication infrastructure required to coordinate time-critical medical logistics. This paper presents Medi-Fly-DR, a safety-aware, IoT-enabled UAV framework designed as a communication-integrated microinfrastructure for disaster-resilient healthcare logistics. Unlike conventional UAV delivery systems that primarily focus on physical transport, Medi-Fly-DR integrates autonomous medical delivery with real-time telemetry, mission-state visibility, secure data exchange, payload monitoring, dynamic geofencing, and safety-gated mission orchestration within a unified cyberphysical architecture. The framework is validated through controlled field trials using an industry-grade multirotor UAV over 1–2 km routes, supported by route-matched road baselines and fault-injection experiments. Experimental results demonstrate an approximately 80% reduction in delivery time compared with road transport, a 96% mission success rate, and safe recovery under low-battery, communication-loss, and high-wind conditions. Continuous telemetry enables real-time monitoring of mission progress, payload status, and system health, supporting traceable, coordinated, and fault-aware healthcare response. These findings show that Medi-Fly-DR functions not merely as a UAV delivery mechanism, but as an information-centric aerial infrastructure for maintaining healthcare continuity in disaster affected and resource-constrained environments.
  • Thumbnail Image
    ItemEmbargo
    SmartSphere: Bridging AI-Powered Automation and Tesla Coil Wireless Energy for Smarter Living
    (Institute of Electrical and Electronics Engineers Inc., 2025) Jurison Jenaraj, J.K; Umasuthan, A; Vigneswaran, V; Raveendran, K; Thiruthanigesan, K; Kasthuriarachchi, S
    This paper presents SmartSphere, an intelligent, secure, and wire-free home automation system that synergizes artificial intelligence, multi-factor access control, and resonant wireless power transmission. Built on an edge-computing architecture using ESP32 and Arduino Mega 2560 microcontrollers, SmartSphere integrates facial recognition, fingerprint authentication (96.7% accuracy), and IR-based presence detection to reduce false activations by 75%. The system employs OpenCV and TensorFlow Lite for real-time anomaly detection and environmental personalization, including weather-responsive adjustments and emotion-aware lighting via facial expression analysis. A key innovation is the incorporation of a Tesla coil-based wireless power transmission module, which eliminates conventional wiring constraints and reduces installation cabling by 86%. Experimental validation demonstrates a 14% improvement in energy efficiency, 75% faster response time (0.3 s), and seamless compatibility with 92% of tested IoT devices. Through comprehensive testing and validation, this research establishes SmartSphere as a secure, intelligent, and sustainable solution for next-generation smart homes, addressing the limitations of traditional wired systems while enhancing the user experience through AI-driven personalization.