Face Detection SDK
Unparalleled accuracy even in low-light conditions.
Face Detection SDK
Face detection is an easy-to-integrate module that lets developers add face detection and tracking to their applications. Advanced products, like Banuba Face AR SDK, are able to reliably perform even if the person's face is covered - for example, with a medical mask.
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Face detection AR SDKFace AR SDK creates its own virtual mask that sticks to the person's face. It adjusts to any angle, as do other AR products (makeup, 3D effects, hats, face jewelry, etc.) applied over it. It also works at almost any distance from the camera.
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Face mask detection SDK
Wearing masks is now common not only in Asia, but in othe regions as well. Banuba Face AR SDK can accurately detect a human face covered by it. Even in low-light conditions. It also includes features like 3D masks, virtual backgrounds, and AR try-on.
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Why Banuba's Technology
- Unique, patented technology
- Secure by design
- Tailored for client's hardware
- In-house R&D center staffed with Ph.Ds
- 8 years on the AR market
- Trusted by companies like Gucci, Samsung, RingCentral
- Quick support turnaround
- Sharing knowledge in app development
FAQ
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A Face SDK could be any software development kit performing face-related functions. For example, Banuba Face AR SDK handles face tracking, as well as AR masks, color filters, and much more. It has versions for iOS and Android, as well as an ML kit face detection.
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There is no single algorithm that is considered the best as it depends on the specific use case and requirements. Some popular algorithms include Viola-Jones, Histogram of Oriented Gradients (HOG), Convolutional Neural Networks (CNNs), and Scale-Invariant Feature Transform (SIFT). Each algorithm has its strengths and weaknesses, and the choice depends on factors such as speed, accuracy, and robustness.