Face Mask Detection A Computer Vision Approach for Object Classification

Key Points

• Evaluate a computer vision approach for detecting face masks as a method of object classification.
• Developed a computer vision algorithm for face mask detection.
• Collected and labeled images for training and testing the model.
• Applied machine learning techniques to enhance classification accuracy.
• Achieved high accuracy in face mask detection compared to existing methods.
• Demonstrated the algorithm's robustness in varying conditions.
• Indicated potential applications in public spaces for health safety.

Abstract