MUMBAI, India, Sept. 28 -- Intellectual Property India has published a patent application (202641112090 A) filed by St. Joseph'S College Of Engineering; N. Harish Priyan; A. Gnana Infant Bastin; and T. Babu on September 18, 2026, for Iot-Based Smart Parking System Using A Wi-Fi-Enabled Microcontroller For Real-Time Slot Monitoring And Mobile Access.
Inventors include St. Joseph'S College Of Engineering; N. Harish Priyan; A. Gnana Infant Bastin; and T. Babu.
The application for the patent was published on September 25, 2026, under issue no. 39/2026.
Abstract: ABSTRACT The Smart Parking System is an Internet of Things (IoT)-based intelligent parking management solution that provides real-time monitoring and efficient utilization of parking spaces. Conventional parking systems often depend on manual supervision and do not provide drivers with instant information about parking availability, leading to increased traffic congestion, fuel consumption, and time wastage. To overcome these limitations, the proposed system integrates IR sensors, a NodeMCU (ESP8266) microcontroller, a 16×2 LCD display, and wireless IoT communication to monitor parking slot occupancy and display parking status in real time. The system continuously detects the presence of vehicles using IR sensors installed in each parking slot. The NodeMCU processes the sensor data and updates the occupancy status of every parking space. A 16×2 LCD displays the number of available and occupied slots, along with notifications such as "Parking Full" or "Slots Available." Furthermore, the IoT-enabled architecture allows users to remotely access live parking information through a mobile or web application, enabling informed parking decisions before reaching the destination. The proposed design features a simple hardware architecture, low power consumption, and cost-effective implementation, making it suitable for deployment in colleges, shopping malls, residential apartments, office complexes, and other smart infrastructure environments. By reducing the time spent searching for parking spaces, the system helps decrease traffic congestion, fuel usage, and environmental pollution while improving overall parking space utilization. The modular architecture also provides opportunities for future enhancements, including cloud-based data storage, RFID-based vehicle authentication, automated payment systems, reservation facilities, and AI-driven parking analytics.
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