Hanwha Techwin America XNV-6022R 2MP Mobile Vandal Dome

Technical Specification

Features:
  • Make: Hanwha Vision
  • Model code: XNV-6022R
  • Series: WISENET X SERIES
  • Chip Inch Size: 1/3 inch
  • Colour Type: Colour / Monochrome
Read more
Additional info:

Max. 2Megapixel (1920 x 1080) resolution Max. 60fps@all resolutions (H.265 / H.264)  0.04Lux@F2.0 (Color), 0Lux (B/W : IR LED On)  Built-in 3.6mm fixed lens  H.265, H.264, MJPEG codec supported, Multiple streaming  Day & Night (ICR), WDR (150dB)

Read more
Make Hanwha Vision
Manufacturer Hanwha Vision Europe (formerly Hanwha Techwin Europe)
Category CCTV>IP Dome cameras
Model code XNV-6022R
Series WISENET X SERIES
Chip Inch Size 1/3 inch
Colour Type Colour / Monochrome
Resolution TVL 2MP
Megapixel Yes
Sensitivity lux 0 ~ 0.04
Digital (DSP) Yes
Indoor/Outdoor Indoor/Outdoor
Electrical Specifications Voltage: PoE
Power Consumption: 6.7 W
Focal length 3.6mm
Compression H.264, H.265, MJPEG
Back Light Compensation Yes
Auto Gain Control Yes
White Balance Yes
Electronic Shutter range 2 ~ 1/12,000s
Network Properties Interface: RJ45 (10/100 BASE-T)
Network Protocols: TCP/IP, UDP/IP, RTP(UDP), RTP(TCP), RTCP,RTSP, NTP, HTTP, HTTPS, SSL/TLS, DHCP, PPPoE, FTP, SMTP, ICMP, IGMP, SNMPv1/v2c/v3(MIB-2), ARP, DNS, DDNS, QoS, UPnP, Bonjour
Image Frame Rate: 30 ~ 60 fps
Physical Specifications Dimensions mm: 99 x 52 x 100
Weight g: 295
Environmental Specifications Operating Temp oC: -30 ~ +55 C (-22 ~ +131 F)
Operating Humidity %: 0 ~ 90
Protection: IP66, IK10
System Requirements Operating System: Windows 7, 8.1, 10, Mac OS X 10.10, 10.11, 10.12 Non-plugin Webviewer
Web Browser: Google Chrome 54, MS Edge 38, Mozilla Firefox 49 (Window 64bit only), Apple Safari 9 (Mac OS X only
Additional info
  • Max. 2Megapixel (1920 x 1080) resolution
  • Max. 60fps@all resolutions (H.265 / H.264) 
  • 0.04Lux@F2.0 (Color), 0Lux (B/W : IR LED On) 
  • Built-in 3.6mm fixed lens 
  • H.265, H.264, MJPEG codec supported, Multiple streaming 
  • Day & Night (ICR), WDR (150dB)
Download PDF version Download PDF version

Related Whitepapers

14 success stories about how video technology is improving city life

Empowering cameras with AI

The rise of ethical facial recognition