Hikvision DS-2CD2H23G2-IZS 2 MP AcuSense Motorized Varifocal Turret Network Camera

Technical Specification

Features:
  • Make: Hikvision
  • Model code: DS-2CD2H23G2-IZS
  • Series: Hikvision Pro Series
  • Chip Inch Size: 1/2.8
  • Resolution: 2 MP
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

Make Hikvision
Manufacturer Hikvision USA Inc.
Model code DS-2CD2H23G2-IZS
Series Hikvision Pro Series
Chip Inch Size 1/2.8
Resolution 2 MP
Digital (DSP) Yes
Specialist Type Megapixel
Sensitivity Lux Color: 0.005 Lux @ (F1.6, AGC ON), 0 Lux with IR on
Auto Iris Yes
Direct Drive Yes
Electrical Specifications Voltage: 12 V DC
Focal Length mm 2.8-12mm
Mount Type Wall, Corner, Vertical Pole, Pendent, Inclined cieling
Wide Dynamic Range Yes
Back Light Compensation Yes
Auto Gain Control Yes
White Balance Yes
Electronic Shutter Range 1/3 ~ 1/100,000 s
Compression Type H.265/H.264/H.264+/H.265+/MJPEG
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, WebSocket, WebSockets
Physical Specifications Weight g: 830 g
Dimensions mm: Ø 138 × 126
Environmental Specifications Operating Temperature oC: -30 ~ 60 C (-22 ~ 140 F)
Protection: IP67, IK10
Operating Humidity %: ≤ 95%
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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