Data sheet

Product

BCS-L-TIP15FSR3-Ai1

Brand

BCS LINE

Camera type

Bullet

Resolution

5 Mpx

Sensor

1/2.7'' CMOS

Scanning system

Progressive Scan

Pixels

2592(H)×1944(V)

RAM

512MB

ROM

128MB

Lens

fixed

Focal length

2.8 mm

Aperture

F1.6

Focus

fixed

Iris

fixed

Digital zoom

16×

Angle of view

H: 97° V: 71° D: 129°

DORI

Detect 64m/ Observe 25m/ Recognize 13m/ Identify 6m

Min illumination

0.005Lux(Color,F1.6,30IRE) 0.0005Lux(B/W,F1.6,30IRE) 0Lux(IR)

S/N ratio

56dB

White balance

(AWB) Auto / manual

WDR

120dB

Backlight compensation

BLC / HLC / WDR(120dB)

Shutter

Auto / manual 1/3~1/100000s

Gain control

(AGC) Auto / manual

Noise reduction

3D DNR

Image rotate

Mirror, Flip 0°/90°/180°/270°

Stream support

2

Resolutions

5M(2592×1944) / 4M(2688×1520) / 3M(2304×1296) / 2M(1920×1080) / 1.3M(1280×960) / 720P(1280×720) / D1(704×576/704×480) / VGA(640×480) / CIF(352×288/352×240)

Main stream

2592×1944(1~20fps) 2688×1520(1~25/30fps)

Second stream

704×576(1~25fps) 704×480(1~30fps)

Bitrate

H.264: 3 Kbps~8192 Kbps H.265: 3 Kbps~8192 Kbps

Video compression

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

Day/night

ICR mechanical infrared filter

Illuminator type

IR LED

Illuminator

30m

Microphone

Yes

Audio compression

G.711A / G.711Mu / G.723 / G.726 / PCM

Memory card slot

microSD 256GB

Support

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

Motion detect

4

Privacy masking

4

Network

RJ-45 10/100 Mbps

Compatibility

ONVIF(S/G/T)

Protocols

IPv4, IPv6, HTTP, TCP, UDP, ARP, RTP, RTSP, RTCP, RTMP, SMTP, FTP, SFTP, DHCP, DNS, DDNS, QoS, UPnP, NTP, Multicast, ICMP, IGMP, NFS, SAMBA, PPPoE, SNMP

Power supply type

12VDC / PoE(802.3af)

Power consumption

max 6.2W

Housing color

White

IP class

IP67

Working environment

-40°C~+60°C max 95% RH

Dimensions

166.2×70×70mm

Weight

0.48 kg

Ai - Built-in intelligent functions

Built-in intelligent algorithm of image analisis

Ai - Perimeter protection

Crossline, intrusion

Ai - Human/vehicle detection

Human/vehicle classification for crossline and intrusion reduces false alarms

Ai - SMD

SMD Plus