MUMBAI, India, July 24 -- Intellectual Property India has published a patent application (202621063508 A) filed by Prashant Sheshrao Titare; Bhangdiya Sakshi; Shetiya Neal; and Tamnar Tanuja on May 19, 2026, for Smart Engineering Institute For Automated Campus Management.
Inventors include Prashant Sheshrao Titare; Bhangdiya Sakshi; Shetiya Neal; and Tamnar Tanuja.
The application for the patent was published on July 17, 2026, under issue no. 29/2026.
Abstract: The "Smart Engineering Institute for Automated Campus Management" project presents an innovative IoT-based solution aimed at enhancing the operational efficiency, safety, and decision-making processes within an engineering campus. Leveraging the ESP32 microcontroller and the Blynk IoT platform, this embedded system automates monitoring and management across various departments and facilities, thereby minimizing manual intervention and optimizing resource usage. The system integrates a network of sensors to gather real-time data from different campus zones. A DHT11 sensor monitors temperature and humidity levels in classrooms and laboratories to ensure a comfortable environment. Load cells are deployed in canteens to track inventory levels and prevent shortages. PIR and IR sensors are used to detect occupancy in lecture halls and administrative offices, helping in energy conservation and space management. RFID modules assist in access control and identity logging, improving security and attendance tracking. Additionally, ultrasonic sensors are installed in the sports grounds to monitor field occupancy and condition, allowing for effective scheduling and maintenance. All sensor data is transmitted to a centralized dashboard via the Blynk IoT platform, accessible on both web and mobile devices. This interface provides administrators with actionable insights and remote control capabilities, enabling proactive decision- making and efficient campus management. This project exemplifies the practical application of embedded systems and IoT in the educational sector, offering a scalable and cost-effective model for smart campus transformation.
Disclaimer: Curated by HT Syndication.
