Real time live detection
Tracking of personnel movements under strong backlight conditions
Unique live face recognition algorithm to accurately recognize faces, face recognition time is less than 0.5s
Using Linux operating system, better system stability
The camera uses H.265 Main Profile encoding, compatible with NVR and other storage devices through the ONVIF protocol
TF card storage, pictures are stored continuously for 1 year or longer (depends on TF card capacity)
Mean time between failures MTBF>50000 H
Wrist temperature measurement and high temperature alarm
Temperature data interface protocol docking
IP65 water-proof and dust-proof
10,000 Face matching library and 80,000 face recognition records
Rich interface protocol, TCP/IP, UDP, RTP, RTSP, RTCP, HTTP, DNS, DDNS, DHCP, SMTP, UPNP, MQTT protocol, Windows/Linux
Built-in light sensor, automatically adjust the opening and closing of the fill light
Rich hardware interface （I/O, WG26, WG34, RJ45, USB）
7-Inch IPS full-view HD display, no streaking and delay
Automatic gain control and automatic white balance
3D noise reduction and fog-passing technology makes the monitoring picture under low illumination more clear and delicate
Code stream and I frame interval setting
Video area partial blocking
ROI coding
Setting maximum exposure time
2D noise reduction, 3D noise reduction
Recording schedule time period and upload mode setting
Video brightness, contrast, hue, saturation, gamma adjustment
Setting the maximum auto exposure time
Face intelligent exposure, face smart enhancement settings