MUMBAI, India, Aug. 10 -- Intellectual Property India has published a patent application (202621074399 A) filed by Dr. Atul Garg; Sumathy K; Sowmya M; Dr Y V Raghava Rao; Dr Sumanta Bhattacharya; R. Stalin Mary; Dr. Ramchand Vedaiyan; Dayananda Sagar Academy Of Technology And Management; Dhivya M; Princy J; Dr. Vijay Kumar Dwivedi; and Dr. A. Sivasangari on June 16, 2026, for Intelligent Iot And Graph Theory-Based Drone Navigation System For Automated Doorstep Medicine Delivery.
Inventors include Dr. Atul Garg; Sumathy K; Sowmya M; Dr Y V Raghava Rao; Dr Sumanta Bhattacharya; R. Stalin Mary; Dr. Ramchand Vedaiyan; Dhivya M; Princy J; Dr. Vijay Kumar Dwivedi; and Dr. A. Sivasangari.
The application for the patent was published on July 31, 2026, under issue no. 31/2026.
Abstract: The present invention relates to the development of an intelligent Internet of Things (IoT) and graph theory-based navigation solution for automatic doorstep medicine delivery by drones is described in this disclosure. The proposed system includes modules for medicine requisition processing, an IoT-enabled environment sensing network, route optimization using graph theory techniques, a cloud analytics platform, a drone control mechanism, navigation, communication, and delivery authentication subsystems. Real-time sensor data are used to develop and constantly update models of delivery networks in the form of weighted graphs. Route selection in the process of delivery is made using graph theory algorithms taking into account factors such as distance, drone energy consumption, weather, presence of obstacles, and urgency of delivery. The drone automatically flies to the destination point and delivers medicine securely, employing such techniques as QR-code or RFID tag authentication, biometric verification, or One Time Password (OTP). FIG.1
Disclaimer: Curated by HT Syndication.
