Dual Lens 4K Security Camera
Dual Lens 4K Security Camera
SPECIFICATIONS
is_customized: No
WiFi: 2.4/5 GHz dual-band WiFi
Viewing Angle : 180°
Video Resolution for PoE & WiFi Cam: 4608X1728 (8.0 megapixels)
Video Resolution for Battery Cam: 4608 x1296 (6.0 megapixels)
Video Format: H.265
Video Compression Format: H.265
Supported Operating Systems: Windows 98,Windows 7,Mac OS,Windows 8,Windows 10,Windows 2000,Windows 2008,Windows 2003
Supported Mobile Systems: Android,IOS
Style: Bullet Camera
Storage: Micro SD card slot (PoE & WiFi cam Max. 256GB, battery cam Max. 128GB)
Special Features: Waterproof / Weatherproof
Smart home platform: Alexa,Google Assistant
Shell Material: Plastic
Sensor Brand: Omnivision
Sensor: CMOS
Scene: Indoor and Outdoor
Rechargeable Battery Capability: other
Power Supply(V): DC12V/2A & PoE (IEEE 802.3af)
Power Supply: Normal
Power Mode: Mains Electricity
Power Consumption(W): --
POE: IEEE 802.3af, 48V Active
Origin: Mainland China
Optical Zoom: other
Operating Temperature: -10°-60°
Movement Range(Tilt): -10°-180°
Movement Range(Pan): -10°-180°
Model Number: Duo 2 Series Dual lens camera
Minimum Illumination(Lux): --
Megapixels: 8MP
Lens for PoE & WiFi Cam: f = 3.2 mm fixed, F = 2.0
Lens for Battery Cam: "f=3.2 mm fixed, H: 170° V:50°D:180°"
Lens (mm): 3.26mm
Installation: Normal
Infrared Night Vision: 30 meters (LED: 6pcs/20mil/850nm)
Image Sensor for PoE & WiFi Cam: 1/2.7"
Image Sensor for Battery Cam: 1/3"
IR Distance(m): 30 meters
IP Rating: IP66
High Definition: 8.0 Megapixels
Field of View 3: Vertical 60
Field of View 1: Diagonal 180
Dimensions (L x W x D)(mm): 27*16*15cm
Digital Zoom: 16X
Detection: Human Animal Car Detection
Day & Night: Auto-switching with IR cut filter
DC Power: DC 12V 2A, 12W
Connectivity: IP/Network Wired
Color Night Vision: YES
Color Night Vision: Spotlight: 8pcs/5W/6500K/560 Lumens
Color: White
Certification: CE,FCC,RoHS
Brand Name: Reolink
Audio Output: Two Way Audio
App name: other
Alarm Action: FTP Photo,telefon Alarm,Email Photo,Local Alarm
AI Functions: Pet Detection