Face Mask Detection A Computer Vision Approach for Object Classification

Mr.M.Ganesh Gowd; K.Mohan Krishna; U.Harika; M.Chandini; T.Chaitanya Varma

doi:10.64643/ijirtv12i10-195099-459

April 6, 2026International Journal of Innovative Research in TechnologyOpen Access

Face Mask Detection A Computer Vision Approach for Object Classification

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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.

Implication

Computer vision approach classifies face masks, indicating potential improvements in public health safety measures.

Abstract

Explore the article titled Face Mask Detection A Computer Vision Approach for Object Classification from IJIRT Volume 12, Issue 10. This study evaluates the effectiveness of teaching programs on waste management knowledge among women.

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Cite This Study

Gowd et al. (2026) studied this question.

synapsesocial.com/papers/69d893eb6c1944d70ce04e70 https://doi.org/10.64643/ijirtv12i10-195099-459

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Face Mask Detection A Computer Vision Approach for Object Classification

Key Points

Implication

Abstract

Discussion

Cite This Study

Face Mask Detection A Computer Vision Approach for Object Classification

Key Points

Implication

Abstract

Discussion

Cite This Study

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