Real-Time Face Mask Detection
Galliot uses Artificial Intelligence to monitor face mask usage in Real-Time to keep businesses safe. On the basis of this approach, we developed various Computer Vision applications, such as Helmet and Work-Glove detection on construction sites and in manufacturing plants for safety control.
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During a pandemic, wearing a face mask in public places is one of the most effective methods of keeping our community safe. Since the beginning of the pandemic, we at Galliot have started working on a product for real-world Face Mask Detection. We have then optimized our model and made it deployable on Edge and X86 devices.
This model works on low-quality CCTV cameras in crowded environments for real-time applications. To build such a model, we had to create a synthetic dataset for real-time face mask detection. We have designed our model in a way that, using our training codes, you can train new models and develop various applications such as Helmet and Safety-Glove detection for workspace safety surveillance. The dataset and codes for this solution are open-sourced and available in this Galliot GitHub repository.
You can read more about this product in the "Face Mask Detection" article series. If you have any questions, you can contact us via email@example.com.
Galliot Face Mask Detector Features
This work, containing all released datasets (Extended Synthetic dataset, Neuralet FaceMask50K dataset), released models, and Galliot’s GitHub source code, is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License
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