Hikvision DS-2CD2743G2-IZS 4 MP AcuSense Motorized Varifocal Dome Network Camera

Technical Specification

Features:
  • Make: Hikvision
  • Model code: DS-2CD2743G2-IZS
  • Series: Hikvision Pro Series
  • Chip Inch Size: 1/3 inch
  • Colour Type: Colour / Monochrome
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Additional info:

High quality imaging with 4 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 proof (IK10) Focus on human and vehicle targets classification based on deep learning

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Make Hikvision
Manufacturer Hikvision
Category CCTV>IP Dome cameras
Model code DS-2CD2743G2-IZS
Series Hikvision Pro Series
Chip Inch Size 1/3 inch
Colour Type Colour / Monochrome
Resolution TVL 4MP
HD Yes
Megapixel Yes
Sensitivity lux 0.005 ~ 0
Digital (DSP) Yes
Electrical Specifications Voltage: 12 V DC, PoE
Power Consumption: 10.5 W
Focal length 2.8 ~ 12mm
Compression H.265, H.264, H.265+, H.264+, MJPEG
Back Light Compensation Yes
Auto Gain Control Yes
White Balance Yes
Electronic Shutter range 1/3 s ~ 1/100,000 s
S/ N (Signal/ Noise) Ratio dB 52
Network Properties Interface: 1 RJ45 10M/100M self-adaptive Ethernet port
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+, Chrome 57.0+, Firefox 52.0+, Chrome 57.0+, Firefox 52.0+
Additional info
  • High quality imaging with 4 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 proof (IK10)
  • Focus on human and vehicle targets classification based on deep learning
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