Car Parking Counter

Computer Vision Car Parking Space Counter Using Python

This project shows how you can use computer vision and Python to detect and count free parking spaces in real time. The system reads a video feed, processes each frame, and checks which parking slots are available. It then displays a live counter on the screen. This project fits well for smart parking systems, traffic management, and AI based surveillance solutions.

Computer Vision Expertise

The core of this project uses OpenCV, NumPy, and cvzone. The system first converts each video frame to grayscale, applies blur, thresholding, and image dilation. These steps help clean the image and highlight the parked vehicles. Each parking slot is defined using saved coordinates. The program checks pixel values in each slot to decide whether the space is free or occupied. This logic keeps the system fast and accurate.

Python for Real Time AI Projects

This parking space counter works in real time with recorded video input. It automatically loops the video and continues counting without stopping. You get a live display of total spaces and free spaces. This setup can later be connected to CCTV cameras in shopping malls, offices, hospitals, and public parking areas. It shows how computer vision can solve real world problems using simple and efficient Python code.

Smart Parking and Surveillance Systems

Use cases of this project include smart city parking, shopping mall parking systems, hotel parking management, and traffic monitoring. You can also extend this project with IoT, cloud dashboards, or mobile apps. With a few upgrades, it can support number plate recognition, real time alerts, and online parking availability updates.

Clearing the Noise to make the result more precise

AI Solutions for Traffic and Automation

This project highlights my skills in Python, computer vision, OpenCV, image processing, and real time video analysis. It also reflects how I apply AI based solutions to real life problems. If you are looking for a smart parking solution or a custom computer vision project, you can reach out through my website.

Courtesy

Special thanks to computervision dot zone for the learning resources and guidance that helped me complete this computer vision parking space counter project successfully.