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BCS-B-EIP12FR3-Ai(2.0)

33,21 € gross

Out of Stock
  • 2Mpx dome IP camera
  • 1/3" PS CMOS sensor
  • 2.8mm fixed lens
  • IR 30m
  • Microphone
  • Intelligent motion detection with human recognition

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SKU: 13606 Categories: , , ,
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Product

BCS-B-EIP12FR3-Ai(2.0)

pa_product-line

BCS BASIC

NDAA

National Defense Authorization Act

Camera type

Dome

Resolution

2 Mpx

Sensor

1/3'' CMOS

Scanning system

Progressive Scan

Pixels

1920(H)×1080(V)

Lens

fixed

Focal length

2.8 mm

Aperture

F1.6

Focus

fixed

Iris

fixed

Angle of view

H: 87.8° V: 48.9° D: 99°

DORI

Detect 51.4m / Observe 20.6m / Recognize 10.3m / Identify 5.1m

Min illumination

0.01Lux(F1.6,AGC) 0Lux(B/W,IR)

S/N ratio

52dB

White balance

(AWB) Auto / manual

WDR

DWDR

Backlight compensation

BLC / HLC / DWDR

Shutter

Auto / manual 1~1/100000s

Gain control

(AGC) Auto / manual

Noise reduction

2D/3D DNR

RoI

Region of Interest

Defog

Digital

Image rotate

Mirror, Flip 0°/90°(corridor mode)/180°/270°

Stream support

2

Resolutions

2M(1920×1080) / 720P(1280×720) / (640×360) / 2CIF(704×288) / CIF(352×288)

Main stream

1920×1080@30fps 1280×720@30fps

Second stream

640×360@30fps 704×288@30fps 352×288@30fps

Bitrate

128Kbps~6144kbps

Video compression

H.265 / H.265+ / H.264

Day/night

ICR

Illuminator type

IR LED

IR range

30m

pa_ir-wavelength

850nm

Microphone

Yes

Audio compression

G.711A / G.711U

Support

Web Service, CMS BCS Manager (Windows/Linux/MAC), Mobile App(iOS, android)

Motion detect

4

Privacy masking

4

Network

RJ-45 10/100Mbps

Compatibility

ONVIF(S/T)

Protocols

IPv4, IGMP, ICMP, ARP, TCP, UDP, DHCP, RTP, RTSP, DNS, DDNS, NTP, UPnP, HTTP, QoS, RTCP, RTMP

Power supply

PoE

Power supply type

PoE(802.3af)

Power consumption

max 2.5W

Housing color

White

Surge protection

4kV

Working environment

-30°C~+60°C max 95% RH

Dimensions

Ø118×100mm

Weight

0.2 kg

pa_ai-built-in-intelligent-f

Built-in intelligent algorithm of image analisis

&Ai - SMD

Yes

pa_ai-smd-smart-motion-detec

Intelligent motion detection with human recognition