Support adaptive facial capture in complex lighting environments;
Support face tracking and face exposure mode;
·Support facial recognition region selection;
·Multiple parameter settings, facial parameter settings, professional level capture rate;
·Embedded professional algorithms, automatic face filtering, and automatic algorithm optimization for the quality of face capture;
·Video compression standard: H.265+/H.265/H.264 video encoding, supporting dual stream;
·Image Effects: Supports brightness, contrast, saturation, sharpness, and white balance; AWB (Automatic White Balance), AGC (Automatic Gain), AE (Automatic Exposure Control);
Support privacy zone occlusion; OSD overlay;
Image rotation: Normal 90 °/270 ° automatic, manual, or automatic color to black and other switching modes
·Applicable scenarios: Public security deployment locations, such as bars KTV、 Hotels, internet cafes, stations, docks, airports, major transportation entrances and exits, etc,
Facial recognition can also be used for transportation such as buses and taxis, facial vending machines, facial payment, pedestrian running red lights, facial access control, etc.
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Random frame selection mode
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Dynamic facial capture mode
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Can we obtain the best facial photos of each individual
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Cannot guarantee, random probability
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Ensure obtaining the best facial photos for each individual
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Can multiple facial photos be determined to be from the same person
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Unable to determine if it is the same person
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Can confirm that it comes from the same person
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Will the best facial photo be lost
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It will be lost
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It won't be lost
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Is there any invalid duplicate judgment
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have
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nothing
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Processing frames per second (4 videos)
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<5 frames
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25 frames
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Does it occupy more resources
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High CPU usage
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Low CPU usage
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Whether to improve the accuracy of facial recognition
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Generally, random probability
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Significantly improve the accuracy of facial recognition
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