Back to Projects
Detection Card Blackjack Game

Detection Card Blackjack

Game Development
October 2023 - December 2023View Source Code

Technologies Used

PythonOpenCVNumPyTkinter

About the Project

Detection Card Blackjack is an innovative card game that combines computer vision with the classic game of Blackjack. Using OpenCV, the game can detect and recognize playing cards in real-time through a webcam, creating an interactive gaming experience that bridges physical cards with digital gameplay.

Key Features

  • Real-time card detection using OpenCV
  • Card value recognition and scoring system
  • User-friendly interface built with Tkinter
  • Standard Blackjack game rules implementation
  • Webcam integration for card capture

Implementation Details

The project is implemented in Python and utilizes OpenCV for image processing and card detection. The game follows these main steps:

  • Card Detection: Using contour detection to identify card shapes
  • Corner Detection: Identifying card corners to determine values
  • Value Recognition: Processing detected corners to determine card values
  • Game Logic: Implementing standard Blackjack rules
  • User Interface: Creating an intuitive UI with Tkinter

Code Snippet

def find_cards(frame):
    # Convert to grayscale
    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
    
    # Find contours
    contours, _ = cv2.findContours(
        gray, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE
    )
    
    # Process each contour
    for contour in contours:
        # Get card value
        card_value = process_card(contour)
        if card_value:
            cards.append(card_value)
    
    return cards

Requirements

  • Python 3.x
  • OpenCV (cv2)
  • NumPy
  • Tkinter
  • Webcam or camera device
View Source Code