Parkade is an automated parking system developed as a course project for Data Mining. The aim of this project is to create a program that can identify when a car enters and leaves a parking lot and calculate the fare accordingly. The system utilizes computer vision techniques to detect cars and process their entry and exit times.
To run the Parkade program, you need a platform that supports Python programming. The following modules are required:
- os Module
- cv2 Module (OpenCV)
- numpy Module
- math Module
- random Module
- datetime Module
- time Module Make sure you have these modules installed on your Python environment before running the program.
Parkade is an automated parking system that utilizes computer vision techniques to detect cars entering and exiting a parking lot. By accurately identifying car events and calculating the fare, Parkade simplifies the parking process and provides a convenient solution for parking lot management.