Hikvision DS-2CD2043G2-I(2.8mm) 4 MP WDR Fixed Bullet Network Camera

Technical Specification

Features:
  • Make: Hikvision
  • Model code: DS-2CD2043G2-I(2.8mm)
  • 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 Clear imaging against strong backlight due to 120 dB WDR technology Efficient H.265+ compression technology -U: Built-in microphone for real-time audio security Water and dust resistant (IP67) Focus on human and vehicle targets classification based on deep learning

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Make Hikvision
Manufacturer Hikvision
Category CCTV>IP cameras
Model code DS-2CD2043G2-I(2.8mm)
Series Hikvision Pro Series
Chip Inch Size 1/3 inch
Colour Type Colour / Monochrome
Resolution 4MP resolution
Digital (DSP) Yes
Specialist Type Network
Sensitivity Lux 0.005 ~ 0
Auto Iris Yes
Direct Drive Yes
Electrical Specifications Voltage: 12 V DC, POE
Power Consumption: 6 W
Focal Length mm 2.8
Wide Dynamic Range Yes
Picture Elements HxV 2688 × 1520
Network Properties Image Frame Rate: 25 ~ 30 fps
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
Back Light Compensation Yes
Auto Gain Control Yes
White Balance Yes
Electronic Shutter Range 1/3 s ~ 1/100,000 s
Compression Type H.265/H.264/H.264+/H.265+/MJPEG
Physical Specifications Dimensions mm: 70 x 162
Weight g: 490
Environmental Specifications Protection: IP67
Operating Temperature oC: -30 ~ 60 C (-22 ~ 140 F)
Operating Humidity %: 0 ~ 95
System Requirements Web Browser: IE 10, IE 11, Chrome 57.0+, Firefox 52.0+, Chrome 57.0+, Firefox 52.0+
HD Yes
Additional info
  • High quality imaging with 4 MP resolution
  • Clear imaging against strong backlight due to 120 dB WDR technology
  • Efficient H.265+ compression technology
  • -U: Built-in microphone for real-time audio security
  • Water and dust resistant (IP67)
  • Focus on human and vehicle targets classification based on deep learning
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