Hikvision DS-2CD2623G2-IZS 2 MP WDR Motorized Varifocal Bullet Network Camera

Technical Specification

Features:

Make: Hikvision
Model code: DS-2CD2623G2-IZS
Series: Hikvision Pro Series
Chip Inch Size: 1/2.8 inch
Colour Type: Colour / Monochrome

Additional info:

High quality imaging with 2 MP resolution Motorized varifocal lens for easy installation and monitoring Clear imaging against strong backlight due to 120 dB WDR technology Efficient H.265+ compression technology Water and dust resistant (IP67) and vandal resistant (IK10) Focus on human and vehicle targets classification based ondeep learning

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Make	Hikvision
Manufacturer	Hikvision
Category	CCTV>IP cameras
Model code	DS-2CD2623G2-IZS
Series	Hikvision Pro Series
Chip Inch Size	1/2.8 inch
Colour Type	Colour / Monochrome
Resolution	2MP resolution
Digital (DSP)	Yes
Specialist Type	Network
Sensitivity Lux	0 ~ 0.005
Auto Iris	Yes
Direct Drive	Yes
Electrical Specifications	Voltage: 12 V DC, POE Power Consumption: 13 W
Focal Length mm	2.8 ~ 12
Wide Dynamic Range	Yes
Picture Elements HxV	1920 × 1080
Network Properties	Image Frame Rate: 10 ~ 30 fps Interface: 1 RJ45 10 M/100 M Network Protocols: TCP/IP, ICMP, HTTP, HTTPS, FTP, DHCP, DNS, DDNS, RTP, RTSP, NTP, UPnP, SMTP, IGMP, 802.1X, QoS, IPv6, UDP, Bonjour, SSL/TLS, PPPoE
Back Light Compensation	Yes
Auto Gain Control	Yes
White Balance	Yes
Electronic Shutter Range	1/3 s ~ 1/100,000 s
Compression Type	H.265/H.264/H.264+/H.265+/MJPEG
Physical Specifications	Weight g: 308 x 98 x 93
Environmental Specifications	Operating Temperature ^oC: -30 ~ 60 C (-22 ~ 140 F) Protection: IP67, IK10 Operating Humidity %: 0 ~ 95
System Requirements	Web Browser: IE 10, IE 11, Chrome 57.0+, Firefox 52.0+, Chrome 57.0+, Firefox 52.0+
HD	Yes
Additional info	High quality imaging with 2 MP resolution Motorized varifocal lens for easy installation and monitoring Clear imaging against strong backlight due to 120 dB WDR technology Efficient H.265+ compression technology Water and dust resistant (IP67) and vandal resistant (IK10) Focus on human and vehicle targets classification based on deep learning
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