MUMBAI, India, June 30 -- Intellectual Property India has published a patent application (202641054400 A) filed by Dr. C. Infant Vinoth; Abishek. V; Karthick. K; Sanjay Krishna. S; Vidyakar. V; Janani. M; and Dr. G. Sundar on April 29, 2026, for Iot Based Components Management System.
Inventors include Dr. C. Infant Vinoth; Abishek. V; Karthick. K; Sanjay Krishna. S; Vidyakar. V; Janani. M; and Dr. D. Sundar.
The application for the patent was published on June 26, 2026, under issue no. 26/2026.
Abstract: The IoT-Based Component Management System is a smart and automated solution designed to improve the efficiency of component distribution and inventory management in laboratory environments. In many educational institutions, the manual handling of electronic components often leads to errors, delays, and inaccurate record-keeping. With the increasing number of students and experiments, maintaining proper inventory control has become a challenging task. This system addresses these issues by implementing an intelligent and connected approach using IoT technology, ensuring accurate tracking and efficient utilization of components. The system operates by integrating RFID technology with the ESP32 microcontroller to identify users and map them to specific laboratory experiments. Each student is assigned a unique RFID card linked to predefined experiments, each requiring a specific set of components such as resistors, capacitors, diodes, and integrated circuits. When the RFID card is scanned, the system retrieves the experiment details and displays the required components. Simultaneously, the inventory is updated automatically, and transaction records are stored for future reference. This automation reduces human intervention, minimizes errors, and ensures quick and reliable component distribution. The inclusion of IoT capabilities enables real-time monitoring and remote access through a cloud or local database. Laboratory administrators can track component usage, monitor stock levels, and receive alerts when inventory is low. The system can also be integrated with a web or mobile interface for improved accessibility and control. Overall, the proposed system provides a cost-effective, scalable, and efficient solution for smart laboratory management, enhancing accuracy, saving time, and promoting better resource utilization in educational and research environments.
Disclaimer: Curated by HT Syndication.
