eneo IPD-68M3611P5A day/night fixed IR IP dome camera

Technical Specification

Features:
  • Make: eneo
  • Model code: IPD-68M3611P5A
  • Series: eneo LN Series
  • Colour Type: True Day / Night
  • Resolution TVL: 8 MP
Read more
Additional info:

1/2.5" Sony STARVIS CMOS sensor Resolution max. 3840x2160 DOL-WDR (120dB) by triple scan images at 30/25 fps Motorised varifocal lens 3.6-11mm VCA video analysis, ONVIF event mapping Smart Codec H.265 ROI (Region of Interest) Browser independent (IE, Edge, Safari, Firefox, Chrome) Supports ONVIF profiles S/T

Read more
Make eneo
Manufacturer eneo
Category CCTV>IP Dome cameras
Model code IPD-68M3611P5A
Series eneo LN Series
Colour Type True Day / Night
Resolution TVL 8 MP
Megapixel Yes
Dome Type Static
Sensitivity lux 0.2
Digital (DSP) Yes
Indoor/Outdoor Indoor
Mount Type Ceiling, Wall mount
Electrical Specifications Voltage: 12 V DC, PoE
Power Consumption: 8.5 W
Focal length 3.6 ~ 11 mm
Compression H.264, H.264+ (Smart Stream), H.265, H.265+ (Smart Stream), M-JPEG
Back Light Compensation Yes
White Balance Yes
Electronic Shutter range 1/25 ~ 1/10,000sec
S/ N (Signal/ Noise) Ratio dB 50
Built-in IR LED Yes
Network Properties Interface: 100Base-TX, 10Base-T
Network Protocols: TCP/IP,UDP,IPv4,IPv6,HTTP,HTTPS,FTP,UPnP,RT P,RTSP,RTCP,DHCP,ARP,Zeroconf,Bonjour
Image Frame Rate: 30 fps
Physical Specifications Dimensions mm: 94 x 116
Weight g: 300
Environmental Specifications Operating Temp oC: -10 ~ 50 C (14 ~ 122 F)
System Requirements Web Browser: MS internet Explorer, Safari, Mozilla, Google Chrome, Edge
Additional info
  • 1/2.5" Sony STARVIS CMOS sensor
  • Resolution max. 3840x2160
  • DOL-WDR (120dB) by triple scan images at 30/25 fps
  • Motorised varifocal lens 3.6-11mm
  • VCA video analysis, ONVIF event mapping
  • Smart Codec H.265 ROI (Region of Interest)
  • Browser independent (IE, Edge, Safari, Firefox, Chrome)
  • Supports ONVIF profiles S/T

Related Whitepapers

14 success stories about how video technology is improving city life

Empowering cameras with AI

The rise of ethical facial recognition