Скачать или смотреть Thin and Light Face Recognition Touch Screen Access Control Machine

Thin and Light Face Recognition Touch Screen Access Control Machine
Model：P1013-BG

Size：8-inch

Main Features

·Support binocular live identification

·Support dynamic face tracing exposure under strong backlighting condition

·Unique facial recognition algorithm to accurately recognize faces, facial recognition time 0.3seconds

·Built-in Dual Core CPU

·The system is running stable which adopts LINUX OS.

·H.265 encoding format video streaming directly connects NVR etc storage devices by ONVIF and GB28181 protocol

·Support TF card local storage, image contiguous blocks of storage for 1 year, video contiguous blocks of storage for 1 month or more

·Average faultless runtime MTBF 50000H

·240000+ face comparison library and 100,000 identification records

·Interface protocols are rich and support TCP/IP, UDP, RTP, RTP, RTP, RTCP, HTTP, DNS, DDNS, DHCP, SMTP, UPNP, MQTT protocols under various platforms such as Windows/Linux

·Working temperature :-10℃-55℃

·Support tamper alarm

·Supports MIC audio input, speaker output audio

·8-inch IPS full-view HD display, no image slurs, no latency

·Automatic gain, automatic white balance, so that the real color of the image returned to the original condition

·Built-in black light sensor for video surveillance application, low illumination recognition is more accurate

·3D noise reduction and through the fog technology make the monitoring image under low illumination more clear and delicate

·Support code stream and I frame interval setting

·Support partial shielding of video region

·Support ROI coding

·Automatic white balance, manual white balance

·Support maximum exposure time setting

·Support smart phone monitoring settings

·Support 2D noise reduction, 3D noise reduction

·Support video planning time periods and upload settings

·Support video brightness, contrast, tone, saturation, gamma adjustment

·Support the maximum autoexposure time

·Support intelligent face exposure, face smart enhancement settings

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