Face recognition wrist thermometer d723 wrist temperature measurement and face recognition integrated machine

7-inch temperature measurement F-type face recognition machine

Product Name: wrist temperature face recognition machine

Product model: ihm42-2t08-e1

Jieyi technology wrist temperature face recognition integrated machine, with face recognition, wrist temperature measurement, wearing mask detection function. In the scene of adults and children mixing temperature measurement, it is no longer limited to height change: children use wrist temperature detection, and reach out to measure.

Applicable scenarios

Personnel gate (temperature measurement), intelligent gate post (temperature measurement), certificate verification (temperature measurement), etc

Main features

·Support binocular living detection

·Support human movement face tracking exposure in strong backlight environment

·Unique face recognition algorithm, accurate face recognition, face recognition time less than 0.5s

·Built in domestic CPU

·Using Linux operating system, the system is stable

·H. 265 video stream is directly connected to NVR and other storage devices through onvif protocol and gb28181 protocol

·Support local storage of TF card, continuous storage of pictures for 1 year, continuous storage of video for 1 month or longer (related to the capacity of optional TF Card)

·MTBF of main engine is more than 50000h

·Support close range temperature measurement and high temperature alarm

·Support temperature data interface protocol docking

·IP65 waterproof and dustproof

·Support 10000 + face comparison database and 80000 recognition records

·It has rich interface protocols, and supports TCP / IP, UDP, RTP, RTSP, RTCP, HTTP, DNS, DDNS, DHCP, SMTP, UPnP, mqtt protocols under various platforms such as windows / Linux

·Rich hardware interfaces (I / O, WG26, wg34, RJ45, USB, RS485)

·7-inch IPS full view HD display screen, no image dragging and no delay

·Automatic gain, automatic white balance, let the real color of the image restore naturally

·Built in black light level sensor for video monitoring, low illumination recognition is more accurate

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

·Support bitstream and I frame interval setting

·Support partial shielding of video area

·Support ROI coding

·Automatic white balance, manual white balance

·Support 2D noise reduction and 3D noise reduction

·Support video plan time period and upload mode settings

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

·Support to set long auto exposure time

·Support face intelligent exposure, face intelligent enhancement settings