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Hemispherical camera for face comparison
Embedded intelligent depth learning face algorithm, self extracting target features, forming a deep layer Face images for learning; Support front end face comparison and moving face Carry out detection, tracking, snapshot, scoring, feature extraction, recognition, and output the best Face comparison results;

Professional intelligence function


·The embedded intelligent depth learning face algorithm extracts the target features by itself to form a deep face image for learning;


·Support front-end face comparison, support detection, tracking, capturing, scoring, feature extraction and recognition of moving faces, and output the best face comparison results· Support a variety of face capture modes: fast, interval, after leaving (including distance optimization and quality optimization) and other face capture modes, and the number of snapshots can be set· Support multiple parameter settings such as face area recognition, area shielding, list management, alarm settings, comparison records, etc;


·Support up to 32 face detection per frame; Support face detection between 30 * 30-500 * 500 pixels· Support the uploading of face images and original images, and the coding quality of face images is adjustable;


·Support the management of up to 3 face databases, and support up to 22400 face databases; Support multiple deployment time periods· Single face supports 150 * 150-960 * 960 pixel range,


·Support black and white list comparison, vIP list database comparison, non-human face database personnel identification, complete alarm output, · Support intelligent face exposure mode, with a wide dynamic range of 120dB, and the face is still clearly visible under strong backlight;


·For the face capture scene, there are two modes: backlight scene and normal scene· Built in electric zoom lens, easy to operate, stable zoom process;


·Built in efficient infrared array light, low power consumption, with ICR infrared filter, automatic switching between color/black mode, to achieve non-stop capture day and night· Support Snart IR, which can intelligently adjust the brightness curve to prevent image overexposure and underexposure in a block;



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Hemispherical camera for face comparison
Embedded intelligent depth learning face algorithm, self extracting target features, forming a deep layer Face images for learning; Support front end face comparison and moving face Carry out detection, tracking, snapshot, scoring, feature extraction, recognition, and output the best Face comparison results;