An IoT-Based Intelligent System for Realtime Parking Monitoring - Result Based

Information Technology

Parking space is becoming harder to obtain as the number of vehicles on the road grows by the day. Looking for parking space is a major problem, especially in large cities or areas where sporting or artistic events are scheduled, and finding a parking site can be a frustrating experience. To combat this issue, some parking lots have installed sensors that detect when a car enters or exits a parking lot, allowing them to track capacity and alert drivers if it is full. This is a partial solution that allows drivers to determine whether a parking lot has available parking spaces, but not the exact location of those spaces. The Smart Parking Sensor Network project aims to create a low-cost sensor-based parking system for mapping parking area usage. This system consists of sensor nodes that can detect parking space occupancy; relay nodes that communicate between sensor nodes and the server; a server application that receives data from the relay nodes and sends it to a web application; and a web application that displays parking areas and occupancy on a dashboard. The vehicle detection sensor node was created using sensors and components that were low in cost and power. A proximity sensor is used to detect the vehicle's presence, and the distance sensor confirms it. Web applications are developed using HTML, CSS, JavaScript, Bootstrap and Google firebase is used as a centralized database.

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