Hikvision DS-2CD2066G2-IU/SL 6 MP AcuSense Strobe Light and Audible Warning Fixed Bullet Network Camera

Technical Specification

Features:
  • Make: Hikvision
  • Model code: DS-2CD2066G2-IU/SL
  • Series: Hikvision Pro Series
  • Chip Inch Size: 1/2.7
  • Color Type: Color / Monochrome
Additional info:

High quality imaging with 6 MP resolution Excellent low-light performance with powered-by-DarkFighter technology Efficient H.265+ compression technology Clear imaging against strong back light due to 120 dB true WDR technology Focus on human and vehicle targets classification based on deep learning

Make Hikvision
Manufacturer Hikvision USA Inc.
Model code DS-2CD2066G2-IU/SL
Series Hikvision Pro Series
Chip Inch Size 1/2.7
Color Type Color / Monochrome
Resolution 6MP
Digital (DSP) Yes
Specialist Type Network
Sensitivity Lux 0.003 ~ 0
Auto Iris Yes
Direct Drive Yes
Electrical Specifications Voltage: 12 V DC, PoE
Power Consumption: 6.5 W
Focal Length mm 2.8 ~ 6
Wide Dynamic Range Yes
Picture Elements HxV 3200 x 1800
Network Properties Image Frame Rate: 10 ~ 30 fps
Interface: 1 RJ45 10 M/100 M self-adaptive Ethernet port
Network Protocols: TCP/IP, ICMP, HTTP, HTTPS, FTP, DHCP, DNS, DDNS, RTP, RTSP, NTP, UPnP, SMTP, IGMP, 802.1X, QoS, IPv4, IPv6, UDP, Bonjour, SSL/TLS, PPPoE, SNMP, ARP
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
Compression Type H.265, H.264, H.265+, H.264+, MJPEG
Physical Specifications Weight g: 580
Dimensions mm: 73 x 73 x 191
Environmental Specifications Protection: IP67
Operating Temperature oC: -30 ~ 60 C (-22 ~ 140 F)
Operating Humidity %: 0 ~ 95
System Requirements Web Browser: IE 10+, Chrome 57.0+, Firefox 52.0+,
HD Yes
Additional info
  • High quality imaging with 6 MP resolution
  • Excellent low-light performance with powered-by-DarkFighter technology
  • Efficient H.265+ compression technology
  • Clear imaging against strong back light due to 120 dB true WDR technology
  • Focus on human and vehicle targets classification based on deep learning

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