Hikvision DS-2CD2723G2-IZS 2 MP Vandal WDR Motorized Varifocal Dome Network Camera

Technical Specification

Features:
  • Make: Hikvision
  • Model code: DS-2CD2723G2-IZS
  • Series: Hikvision Pro Series
  • Chip Inch Size: 1/2.8
  • Color Type: Color / Monochrome
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Additional info:

High quality imaging with 2 MP resolution  Motorized varifocal lens for easy installation and monitoring  Clear imaging against strong backlight due to 120 dB WDR technology  Efficient H.265+ compression technology  Water and dust resistant (IP67) and vandal resistant (IK10)  Focus on human and vehicle targets classification based on deep learning

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Make Hikvision
Manufacturer Hikvision USA Inc.
Category Video Surveillance>IP Dome cameras
Model code DS-2CD2723G2-IZS
Series Hikvision Pro Series
Chip Inch Size 1/2.8
Color Type Color / Monochrome
Resolution TVL 2MP
HD Yes
Megapixel Yes
Sensitivity lux 0 ~ 0.005
Digital (DSP) Yes
Electrical Specifications Voltage: 12 V DC, PoE
Power Consumption: 10.5 W
Focal length 2.8 ~ 12mm
Compression H.265+, H.265, H.264+, H.264, MJPEG
Back Light Compensation Yes
Auto Gain Control Yes
White Balance Yes
Electronic Shutter range 1/3 ~ 1/100,000 s
Built-in IR LED Yes
Network Properties Interface: 1 RJ45 10M/100M
Network Protocols: TCP/IP, ICMP, HTTP, HTTPS, FTP, DHCP, DNS, DDNS, RTP, RTSP, NTP, UPnP, SMTP, IGMP, 802.1X, QoS, IPv6, UDP, Bonjour, SSL/TLS, PPPoE
Image Frame Rate: 10 ~ 30 fps
Physical Specifications Dimensions mm: 153 x 112
Weight g: 880
Environmental Specifications Operating Temp oC: -30 ~ +60 C (-22 ~ +140 F)
Operating Humidity %: 0 ~ 95
Protection: IP67, IK10
System Requirements Web Browser: IE 10, IE 11, Chrome 57.0+, Firefox 52.0+
Additional info
  • High quality imaging with 2 MP resolution 
  • Motorized varifocal lens for easy installation and monitoring 
  • Clear imaging against strong backlight due to 120 dB WDR technology 
  • Efficient H.265+ compression technology 
  • Water and dust resistant (IP67) and vandal resistant (IK10) 
  • Focus on human and vehicle targets classification based on deep learning
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