Hikvision DS-2CD2T66G2-ISU/SL 6 MP AcuSense Strobe Light and Audible Warning Fixed Bullet Network Camera

Technical Specification

Features:

Make: Hikvision
Model code: DS-2CD2T66G2-ISU/SL
Series: Hikvision Pro Series
Chip Inch Size: 1/2.8 inch
Colour Type: Colour / Monochrome

Additional info:

High quality imaging with 6 MP resolution Excellent low-light performance with powered-by-DarkFighter technology Clear imaging against strong back light due to 120 dB true WDR technology Efficient H.265+ compression technology Focus on human and vehicle targets classification based on deep learning

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Make	Hikvision
Manufacturer	Hikvision
Category	CCTV>IP cameras
Model code	DS-2CD2T66G2-ISU/SL
Series	Hikvision Pro Series
Chip Inch Size	1/2.8 inch
Colour Type	Colour / Monochrome
Resolution	6MP resolution
Digital (DSP)	Yes
Specialist Type	Network
Sensitivity Lux	0.003 ~ 0
Auto Iris	Yes
Direct Drive	Yes
Electrical Specifications	Voltage: 12 V DC, PoE Power Consumption: 10.5 W
Focal Length mm	2.8 ~ 6
Picture Elements HxV	3200 × 1800
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, IPv4, IPv6, UDP, Bonjour, SSL/TLS, PPPoE, SNMP, ARP
Back Light Compensation	Yes
Auto Gain Control	Yes
White Balance	Yes
Electronic Shutter Range	1/3 s ~ 1/100, 000 s
S/ N (Signal/ Noise) Ratio dB	52
Compression Type	H.265, H.264, H.265+, H.264+, MJPEG
Physical Specifications	Weight g: 1,115 Dimensions mm: 105 x 287
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 6 MP resolution Excellent low-light performance with powered-by-DarkFighter technology Clear imaging against strong back light due to 120 dB true WDR technology Efficient H.265+ compression technology Focus on human and vehicle targets classification based on deep learning
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