InData Labs FaceSDK Beta Released with Face Recognition and Face Attribute Detection Features

InData Labs, a data science company with a heavy focus on computer vision, rolled out a beta version of InData Labs FaceSDK.

InData Labs founded its R&D center with a major focus on computer vision and AI in 2014. Ever since they’ve been developing custom AI and computer vision solutions for clients globally. The company provides solid and reliable solutions for surveillance and anti-spoofing, gaming, and entertainment purposes.

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InData Labs Face SDK enables real-time face detection, recognition, and tracking, and now is available for integration on various devices and platforms. The AI-powered solution uses standard single or multiple cameras to detect and match faces in 0.03-0.6 seconds. The SDK is resistant to bad lighting and occlusions, which gives it a competitive edge on the market. The SDK supports any database and UI and gives software developers, manufacturers, and business owners robust face recognition technology ready for use.

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Face Recognition-based SDK has accurate face attribute detection — glasses, headwear, beard, moustache, and masks. Mask detection feature is a healthcare-specific feature that was developed to combat the spread of the COVID-19. The feature enables real-time mask detection, and if the person isn’t wearing a mask, it informs the company’s management. The feature can be useful for hospitals, public transport, stadiums, and other crowded places.

Other characteristics include: 1:1 and 1:N face matching, face size 112 px, face rotation up to 45⁰, face occlusion 35%, number of cameras supported – multiple (more cameras = more computing power), interpupillary distance >25 px, false acceptance rate < 0.0001%, configurable score thresholds.

The product is distributed under proprietary license and is available as a free to try beta version.

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