MUMBAI, India, July 13 -- Intellectual Property India has published a patent application (202611043415 A) filed by Ankur Jain; D Vigneswar Rao; Dr. V. Kokila; Dr Kavitha A Karkera; Yalavarthi Leelakrishna; Rani Venkata Satya Praveen; Kiran Kumar Gorrepati; Pushpanjali S; Dayananda Sagar Academy Of Technology And; Abarna. S; T. Sivaranjani; and S. Pushparaj on April 05, 2026, for An Iot-Integrated Framework For Autonomous Warehouse Inventory Management Using Ai-Driven Drones And Cloud-Based Logistics Systems.
Inventors include Ankur Jain; D Vigneswar Rao; Dr. V. Kokila; Dr Kavitha A Karkera; Yalavarthi Leelakrishna; Rani Venkata Satya Praveen; Kiran Kumar Gorrepati; Pushpanjali S; Abarna. S; T. Sivaranjani; and S. Pushparaj.
The application for the patent was published on July 10, 2026, under issue no. 28/2026.
Abstract: An IOT-integrated framework for autonomous warehouse inventory management using AI-driven drones and cloud-based logistics systems is the proposed invention. The proposed invention is an IoT-integrated framework for autonomous warehouse inventory management that combines intelligent sensing, AI-driven drones, and cloud-based logistics systems to enhance operational efficiency and accuracy. The system employs IoT-enabled devices such as RFID tags and smart sensors to continuously monitor inventory status and environmental conditions in real time. Autonomous drones equipped with computer vision and scanning technologies perform automated inventory audits, reducing the need for manual intervention. A cloud-based platform collects and processes data from these sources, applying advanced analytics along with Apriori and Support Vector Machine (SVM) algorithms to identify inventory patterns, predict demand, and detect anomalies. The Apriori algorithm enables the discovery of frequent item associations for optimized storage arrangement, while SVM supports classification and forecasting of stock conditions. The integrated framework ensures seamless communication between physical and digital components, allowing dynamic decision-making and efficient resource utilization. Overall, the proposed system improves inventory accuracy, reduces operational costs, and provides a scalable and intelligent solution for modern warehouse management.
Disclaimer: Curated by HT Syndication.
