𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐞𝐝 𝐚𝐭𝐭𝐞𝐧𝐝𝐚𝐧𝐜𝐞 𝐅𝐚𝐜𝐢𝐚𝐥 𝐑𝐞𝐜𝐨𝐠𝐧𝐢𝐭𝐢𝐨𝐧 𝐂𝐂𝐓𝐕 𝐀𝐭𝐭𝐞𝐧𝐝𝐚𝐧𝐜𝐞 𝐂𝐚𝐦𝐞𝐫𝐚

Professional intelligence function:

•Embedded intelligent deep learning face algorithm, extracting target features by itself, forming a deep face image for learning;

•Support front-end face comparison, support for detecting, 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 selection, quality selection) and other face capture modes, the number of captures can be set;

•Support multiple parameter settings such as face area recognition, area shielding, list management, alarm settings, and comparison records;

•Supports up to 32 face detection per frame; supports face detection between 30*30-500*500 pixels;

•Supports uploading of face pictures and original images, and the encoding quality of face pictures is adjustable;

•Support the management of up to 3 face libraries, support up to 5000 face libraries; support multiple arming time period settings;

•Support a single face in the pixel range of 150*150-960*960;

•Support black and white list comparison, VIP list database comparison, recognition of non-face database personnel, and complete alarm output;

•Support face intelligent exposure mode, wide dynamic range up to 120dB, face is still clearly visible under strong backlight;

• Face capture scenes are respectively aimed at backlighting environment and normal environment, and there are two modes of backlighting scene and normal scene can be set;

•Built-in motorized lens zoom lens, easy to operate, stable zooming process;

•Built-in high-efficiency infrared array light, low power consumption, with ICR infrared filter, automatic switching color/black mode, realizing day and night uninterrupted capture of human faces;

•Support Smart IR, which can intelligently adjust the brightness curve to prevent overexposure of a certain block of images and underexposure of a certain block of images;

Technical Parameter: