Concept Pro

8MP IP 2.8mm Fixed Lens Bullet Camera

SKU: AIR3525DLEL-IP8M/2.8

Camera Type

Bullet Camera
Illumination / Range

Up to 30m Smart IR Illumination
Lens Type

2.8mm Fixed
Resolution

8MP
Analytics

Deep Learning Video Analytics
Alarm & Audio In / Out

Yes

The AIR3525DLEL-IP8M/2.8 model is an IP camera that has been designed to deliver the highest image quality for demanding external environments. This weather-resistant external small bullet features a 2.8mm fixed lens, smart infrared LEDs with 30m illumination range, and provides crisp 8-megapixel video. This camera is also designed for excellent compatibility with the Concept Pro range of network video recorders.

Dimensions: (Ø) 66mm × (L) 209mm

Other Key Features

NDAA Compliant
Max. 25FPS @ 8MP
2.8mm Fixed Lens
Enhanced Low Light Performance
Up to 30m Smart IR illumination
Deep Learning Video Analytics

H.265 Video Codec & VBR+ Smart Bit Rate Control
Alarm & Audio I/O
PoE/DC12V Power Input
True WDR, ATW, BLC, Defog, 3D-DNR
VBR+ Smart Bit Rate Control & ROI

ONVIF Compliant
Smart IR
Tri-Axis Gimble
Motorised Zoom
Enhanced Low Light
8MP Resolution
Deep Learning Motion Detection
Deep Learning Video Analytics
Alarm in/out
Audio in/out
True Wide Dynamic Range
IP66
Corridor mode
Power over Ethernet

Enhanced Low Light Performance

This model utilises an Enhanced Low Light CMOS sensor with greater light sensitivity, resulting in the camera capturing colour images long after standard CCTV cameras have switched to black & white night mode and brighter images in darker conditions.

Intelligent, Efficient Bit Rate Control

Reduce camera streaming bit rates by up to 90% by using Variable Bit Rate (VBR) or VBR+ smart bit rate control settings. These dynamic features maximise overall image quality while minimising camera stream bit rates. This results in lower network bandwidth usage and extended recording storage retention time.

Deep Learning Video Analytics

Reduce false motion detection alarms by up to 95% using new Deep Learning technology. Trained with powerful deep learning algorithms, the camera can detect and classify human, car, and bicycles based upon specific line/zone and timing criteria. As a result, false alarms from sources such as lights, animals, foliage, weather, and other objects are effectively filtered and reduced. Additionally, this camera supports Deep Learning Motion Detection with human classification to reduce false alarms on traditional motion detection events.