SIP44D3V/28-H2 | ENS-H, 4MP Dome Camera

ENS-H
SIP44D3V/28-H2
$
240.00
The SIP44D3V/28-H2 is a 4MP fixed dome IP camera offering high-quality imaging and advanced surveillance features. Equipped with a 2.8mm fixed lens, this camera captures sharp video at 4MP resolution and 30 FPS, ensuring excellent monitoring clarity.

Key features include True WDR (120 dB), which ensures clear images even in challenging lighting conditions with strong backlight. The camera is designed for low bandwidth usage with its H.265+ compression technology, effectively reducing storage and transmission requirements. The infrared (IR) technology provides up to 98 feet of night vision, making it suitable for 24/7 surveillance.

This model also incorporates video content analytics (VCA), including human and vehicle classification, enhancing its ability to focus on relevant security events. It’s built with IK10 vandal resistance and an IP67 water and dust-resistant rating, making it ideal for indoor and outdoor installations. Additionally, the camera supports PoE (802.3af) and has an SD card slot for local storage.

Key Features:
  • 4MP resolution at 30 FPS
  • 2.8mm fixed lens
  • True WDR (120 dB) for clear imaging in high-contrast lighting
  • Infrared (IR) technology with a range of 98 feet for night vision
  • Efficient H.265+ compression for reduced bandwidth and storage
  • VCA with human/vehicle classification for smart detection
  • IP67 water and dust-resistant, IK10 vandal-resistant
  • PoE (802.3af) supported
  • SD card slot for local storage

This ENS IP Security Camera works with:
ENS Networking Video Recorder ( NVR)
ENS Vision APP
How to use ENS Vision

Brand: ENS-H

Form factor: Dome

Max. Resolution: 4MP (2688 x 1520)

Lens: 2.8mm Fixed

Video compression: Efficient H.265+ compression technology

Night Vision: Infrared / IR

WDR: True WDR

Water Resistance Rating: IP67

Hardware Features:: Built-in micro SD card slot, up to 256GB

Power supply: DC12V/PoE

NDAA Compliant:: No

VCA Features:: Basic VCA, Face Detection, Facial Recognition, Human / Vehicle Classification, LPR