The Smart Parking System using IoT and Image Processing is designed to monitor and manage parking spaces in real time with high accuracy. The system uses a Raspberry Pi 3 B+ as the central controller, interfaced with a Pi Camera to continuously capture images of parking slots. Image processing algorithms analyze these images to detect vehicle presence in each slot, eliminating the need for physical sensors. The processed status is displayed on an LCD screen through an LCD driver and simultaneously uploaded to a web page, allowing users to remotely view available parking spaces via the Internet. An SD card stores the program and image data, while a regulated 5V DC supply powers the system. This automated parking solution reduces congestion, minimizes human intervention, improves space utilization, and supports smart city infrastructure through efficient IoT-based monitoring.    

Objectives:

 To automatically detect the availability of parking slots using image processing techniques with the help of a Pi Camera.

 To display real-time parking status (occupied/free) on an LCD screen for users at the parking area.

 To upload parking slot information to a web page using IoT so that users can remotely check slot availability.

 To reduce manual monitoring and human effort by automating the parking management process.

 To improve parking efficiency by minimizing congestion and reducing the time spent searching for free slots.

 To store and process image data using the Raspberry Pi for accurate slot detection.

 To support smart city infrastructure by providing a scalable and cost-effective intelligent parking solution.

         

The major building blocks of this project are:

1. Power supply.
2. Raspberry pi3 B+.
3. LCD display.
4. Pi Camera.
5. SD card.

 

    Software’s used in the project:

 

1. Raspbian OS.
2. Express SCH for Circuit Design.
3. Image processing algoritham.

 Block Diagram:

 

video: