Lnfxkvva FM225 3D Face Recognition Module with Binocular Infrared Camera Live Detection Offline Recognition for Smart Home

Lnfxkvva FM225 3D Face Recognition Module with Binocular Infrared Camera Live Detection Offline Recognition for Smart Home

Lnfxkvva FM225 3D Face Recognition Module with Binocular Infrared Camera Live Detection Offline Recognition for Smart Home

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Lnfxkvva FM225 3D Face Recognition Module with Binocular Infrared Camera Live Detection Offline Recognition for Smart Home

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£13.95
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Lnfxkvva FM225 3D Face Recognition Module with Binocular Infrared Camera Live Detection Offline Recognition for Smart Home - Details

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Lnfxkvva FM225 3D Face Recognition Module with Binocular Infrared Camera Live Detection Offline Recognition for Smart Home - Price Information

  • Cheapest price: £13.23
  • The cheapest price is offered by Amazon-marketplace.co.uk . You can order the product there.
  • The price range for the product Lnfxkvva FM225 3D Face Recognition Module with Binocular Infrared Camera Live Detection Offline Recognition for Smart Home is €£13.23to €£13.95 with a total of 2 offers.
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Lnfxkvva FM225 3D Face Recognition Module with Binocular Infrared Camera Live Detection Offline Recognition for Smart Home

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The FM225 module is based on an infrared + visible light camera and completes functions such as face liveness detection, face capture, feature extraction/comparison, and user information storage. It realizes face recognition of smart door locks through UART/USB communication and video transmission. Function. The visible light camera outputs video images at the same time to realize the face recognition + viewing function 3D face recognition camera, face recognition + visibility, accurate and reliable offline recognition verification FM225 is a face recognition solution, mainly used in fields such as smart door locks. The module consists of a face algorithm motherboard + binocular camera + infrared LED light Supports live body detection, resists various attacks, and uses multi-modal live anti-counterfeiting algorithms to effectively shield attacks from photos, videos, and various models and dummies. Under the premise of a 99% pass rate, a false recognition rate of less than one millionth can be achieved Application Scenarios Can be widely used in face scanning scenarios such as smart door locks, smart access control systems, time and attendance machines, 3D face payment systems, smart device unlocking and human-computer interaction applications, and low-power battery face recognition systems
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