Hikvision DS-2CD2043G2-I 4 MP WDR Fixed Bullet Network Camera

Technical Specification

Features:

Make: Hikvision
Model code: DS-2CD2043G2-I
Series: Hikvision Pro Series
Chip Inch Size: 1/3 inch
Colour Type: Colour / Monochrome

Additional info:

High quality imaging with 4 MP resolution Clear imaging against strong backlight due to 120 dB WDR technology Efficient H.265+ compression technology -U: Built-in microphone for real-time audio security Water and dust resistant (IP67) Focus on human and vehicle targets classification based on deep learning

Contact manufacturer Contact manufacturer

Datasheet Datasheet

Make	Hikvision
Manufacturer	Hikvision
Category	CCTV>IP cameras
Model code	DS-2CD2043G2-I
Series	Hikvision Pro Series
Chip Inch Size	1/3 inch
Colour Type	Colour / Monochrome
Resolution	4MP resolution
Digital (DSP)	Yes
Specialist Type	Network
Sensitivity Lux	0.005 ~ 0
Auto Iris	Yes
Direct Drive	Yes
Electrical Specifications	Voltage: 12 V DC, POE Power Consumption: 6 W
Focal Length mm	2.8 ~ 6
Wide Dynamic Range	Yes
Picture Elements HxV	2688 × 1520
Network Properties	Image Frame Rate: 25 ~ 30 fps Interface: 1 RJ45 10M/100M 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: 490 Dimensions mm: 70 x 162
Environmental Specifications	Protection: IP67 Operating Temperature ^oC: -30 ~ 60 C (-22 ~ 140 F) 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 4 MP resolution Clear imaging against strong backlight due to 120 dB WDR technology Efficient H.265+ compression technology -U: Built-in microphone for real-time audio security Water and dust resistant (IP67) Focus on human and vehicle targets classification based on deep learning
Download PDF version Download PDF version