LILIN ZD6122EX3 2MP day/night HD IP dome camera

Technical Specification

Features:
  • Make: LILIN
  • Model code: ZD6122EX3
  • Chip Inch Size: 1/3 inch
  • Colour Type: Colour / Monochrome
  • Resolution TVL: 2 MP
Read more
Additional info:

LILIN ZD6122EX3 is a 2MP day/night HD vandal resistant IP dome camera. The camera features Face / Tampering / Audio / Motion detection alarm function. It is ONVIF and digital PTZ supported. It also features 3D noise reduction and 2D WDR function.

Read more
Make LILIN
Manufacturer LILIN
Category CCTV>IP Dome cameras
Model code ZD6122EX3
Chip Inch Size 1/3 inch
Colour Type Colour / Monochrome
Resolution TVL 2 MP
HD Yes
Megapixel Yes
Dome Type PTZ
Sensitivity lux 0.1
Digital (DSP) Yes
Electrical Specifications Voltage: 12 V DC
Power Consumption: 8 W
Focal length 3 ~ 10.5 mm
Compression H.264 , Motion JPEG
Back Light Compensation Yes
Auto Gain Control Yes
White Balance Yes
Electronic Shutter range 1/30s ~ 1/8000s
Video Output CVBS 1.0Vp-p, 75 ohm
Network Properties Interface: 10Mbps / 100Mbps Base-T, RJ-45
Network Protocols: IP, TCP, UDP, HTTP, SMTP, NTP, DDNS, UPnP, FTP, ARP, DHCP, PPPoE, DNS, RTSP, RTCP, Telnet, ICMP, IGMP, ONVIF, SNMP
Control: ePTZ
Image Frame Rate: 30 fps
Inclusive DVR/ Web Server: Micro SD/SDHC card
Physical Specifications Dimensions mm: 145 x 130
Weight g: 960
Environmental Specifications Operating Temp oC: -40 ~ +50 C (-40 ~ +122 F)
Protection: IP67, IK10
System Requirements Operating System: Windows 2000, Windows XP, Windows Vista, Windows 7, Windows 8, Embedded Linux 2.6.32
Web Browser: Windows Internet Explorer 6.0 or above
Additional info LILIN ZD6122EX3 is a 2MP day/night HD vandal resistant IP dome camera. The camera features Face / Tampering / Audio / Motion detection alarm function. It is ONVIF and digital PTZ supported. It also features 3D noise reduction and 2D WDR function.
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