• Status:

  Completed

• Location:

  Sivas, Turkey

For my Microprocessors and Internet of Things (IoT) courses, I developed an intelligent parking sensor system. This project aimed to address the challenge of efficiently managing parking spaces in urban areas. The system utilizes a Raspberry Pi 4 as the main processing unit, running on the Ubuntu operating system.

To detect and monitor vehicles in parking spots, I integrated an RPLidar sensor, which provides high-precision 360-degree laser scanning. The sensor data is processed using the Robot Operating System 2 (ROS2), a flexible framework for writing robot software. ROS2 enables seamless communication between the Raspberry Pi and the RPLidar, allowing for real-time data acquisition and analysis.

The system employs advanced algorithms to interpret the lidar data, accurately identifying the presence or absence of vehicles in designated parking spaces. This information is then transmitted via IoT protocols to a central management system, providing real-time updates on parking availability.

By leveraging cutting-edge technologies such as RPLidar, ROS2, Ubuntu, and Raspberry Pi 4, this intelligent parking sensor system demonstrates the practical application of embedded systems and IoT in solving real-world problems. The project not only enhanced my technical skills but also showcased my ability to integrate various hardware and software components to create an innovative solution.