chandrikadeb7/Face-Mask-Detection

Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras

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Established

Leverages MobileNetV2 architecture for lightweight inference suitable for embedded deployment on Raspberry Pi and edge devices, combined with a Caffe-based face detector for frontal face localization. The system supports both static image and real-time video stream processing through separate inference pipelines, achieving 98% accuracy on a 4,095-image dataset of real masked/unmasked faces collected via Bing Search API and Kaggle sources.

1,604 stars. No commits in the last 6 months.

Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 25 / 25

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Stars

1,604

Forks

864

Language

Jupyter Notebook

License

MIT

Last pushed

Mar 21, 2023

Commits (30d)

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