Shenzhen Zhonghui Shanda Technology Co., Ltd
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High end facial capture camera C52
Suffix Z (supports 9-22 electric zoom)
Product details

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.

Comparison between Random Frame Extraction Mode and Dynamic Face Capture Mode

Random frame selection mode
Dynamic facial capture mode
Can we obtain the best facial photos of each individual
Cannot guarantee, random probability
Ensure obtaining the best facial photos for each individual
Can multiple facial photos be determined to be from the same person
Unable to determine if it is the same person
Can confirm that it comes from the same person
Will the best facial photo be lost
It will be lost
It won't be lost
Is there any invalid duplicate judgment
have
nothing
Processing frames per second (4 videos)
<5 frames
25 frames
Does it occupy more resources
High CPU usage
Low CPU usage
Whether to improve the accuracy of facial recognition
Generally, random probability
Significantly improve the accuracy of facial recognition

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