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FionTu Intelligence-Multimedia Conference Publishing Software FT-PUB

The FionTu paperless conference publishing software facilitates the real-time display of essential conference information, such as participant attendance and promotional videos, without causing delays in meeting start times. It incorporates advanced face recognition technology for automatic sign-in, ensuring seamless participant entry while maintaining a modular structure for easy maintenance and customization. The system also features visual intelligence capabilities for accurate face detection, tracking, and quality verification.
Categories: Riyadh Series Retractable Screen
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Category Riyadh Series Retractable Screen Tags Automatic sign-in, Face recognition, Modular structure, Real-time display, Visual intelligence
Description
  • FionTu paperless conference publishing software mainly realizes the display of conference information: name, time, attendance of participants, promotional videos, and door screen
  • Real-time synchronization of information does not affect the early start of the meeting, delay time and other operations, and is flexible
  • The system adopts a modular programming structure, which is easy to maintain and has strong scalability. Special functions can be customized and developed according to needs
  • Through the paperless seat terminal, the candidate for the meeting can be notified or called in the venue to remind them to prepare for entry
  • It has the function of face recognition, embedded in ArcSoft SDK, and adopts the world's leading Visual intelligence technology, accurate recognition of facial images, automatic sign-in for the meeting after successful face recognition on the door screen
  • Visual intelligence technology Face detection: detect face position and lock face coordinates Face tracking: accurately locate and track the facial area Face comparison: compare the similarity of two faces Face search: search for similar faces in the face database Face attributes: detect face gender, age and other attributes RGB/IR liveness detection: detect whether it is real and prevent malicious attacks Face quality detection: real-time verification of face image quality Large-area occlusion recognition: accurate recognition of faces with large-area occlusion
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FT-PUB
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