Car parking is a common problem faced by drivers in busy urban areas. For example, imagine you are driving to a shopping mall during peak hours. As you approach the mall, you notice that the parking lot is full, and several other cars are circling looking for available spots.
You join the queue of cars, hoping to find an available spot soon. However, as time passes, you realize that the parking lot is overcrowded, and it's becoming increasingly difficult to find a spot. You start to feel frustrated and anxious, knowing that you might be late for your appointment or miss out on a great shopping opportunity.
AI-enabled car parking using OpenCV is a computer vision-based project that aims to automate the parking process. The project involves developing an intelligent system that can identify empty parking spaces and give the count of available parking spots.
The system uses a camera and OpenCV (Open Source Computer Vision) library to capture live video footage of the parking lot.
● Run pip install requirements.txt in the terminal
● Run app.py file
● Navigate to the localhost where you can view your web page.
● Upload a video(.mp4 file type)
● Click on the Check button to see the result.
It contains the home page button(CarCrush), About us, About Project, and the upload button where you can upload your video(for the same scenario) and check how many slots are empty/full.
In this we have given a brief description and the role played by each of them in the project, contact information.
In this, we have a brief explanation of our project, how it can be used further by integrating it with different technologies, and some drawbacks of this model/system.
This is a customized 404 page not found page which is shown when you search for a directory that doesn’t exist in the server.
