Smart Parking Availability System with Real-Time Radar Detection

This project presents an intelligent smart parking system that uses real-time radar detection to monitor parking space availability in urban areas. Designed for commercial spaces like malls, airports, and public garages, where efficient parking management is critical. The system leverages IoT technology to collect data on parking occupancy and transmits it to a cloud platform for real-time analysis and remote monitoring.

Radar sensors detect vehicle presence in parking spots, while the system’s AI algorithms predict parking space availability and optimize space usage. This solution is beneficial for drivers seeking quick parking solutions, city planners optimizing urban parking infrastructure, and businesses looking to offer smart parking services. Instant alerts and a mobile app guide drivers to available spots, reducing traffic congestion and time spent searching for parking.

The system integrates with a user-friendly mobile app that provides live updates on parking availability, historical data, and the ability to reserve parking spaces in advance.

Key Features:

• Real-time parking space monitoring using radar sensors and IoT-enabled connectivity.
• AI-powered parking availability prediction and optimization.
• Cloud-based storage for long-term parking data analysis and reporting.
• Mobile app with live updates, parking space alerts, and reservation functionality.

This project includes source code, complete hardware setup, detailed analysis, and a 200-page project report in soft copy, making it an excellent choice for students interested in IoT and AI applications in smart city and transportation systems.