SPECIFICATIONS
is_customized: No
Wireless Standard: IEEE 802.11b/g/n
Wireless Security: WPA-PSK/WPA2-PSK
WiFi: 2.4 GHz/5GHz Dual WiFi Battery Security Camera
Weight (Battery included): 470 g (16.5 oz)
Weather Resistance: IP64 Weatherproof
Viewing Angle : 120°
Video Resolution: 2560 x 1440 (4.0Megapixel) at 15 frames/sec
Video Compression Format: H.265
Supported Operating Systems: Windows 7,Mac OS,Windows 8,Windows 10
Supported Mobile Systems: IOS,Android
Style: Mini Camera
Special Features: Waterproof / Weatherproof
Solar Panel Power: 5W
Smart home platform: Google Assistant
Smart Alarm: PIR detection/Human Detection/Vehicle Detection
Shell Material: Metal
Sensor Brand: SmartSens
Sensor: CMOS
Scene: Indoor and Outdoor
Recording: Motion Triggered Recording
Rechargeable Battery Capability: 6000mAh
Rechargeable Battery: Built in
Power charging: solar panel or 5V/2A USB power adaptor
Power Supply(V): 5V
Power Supply: Normal
Power Mode: Battery Powered,Solar Powered,Mains Electricity
Power Consumption(W): 8W IP Camera
PIR Detecting Angle: 100° horizontal
Other Alerts: Instant email alerts and push notifications
Origin: Mainland China
Operating Temperature: -10 to 55° C (14° to 131° F)
Operating Temperature: -10°-60°
Movement Range(Tilt): -10°-180°
Movement Range(Pan): 0°-360°
Model Number: IP Camera Argus PT 4MP and solar panel
Minimum Illumination(Lux): 0
Megapixels: 4MP
Lens (mm): 4mm
Installation: Side,Normal,Wall Mounted,Vertical Pole Mount
Image Sensor: 1/3" CMOS Sensor
IR Distance(m): 10M
IP Rating: Other
High Definition: 4.0 Megapixels
Field of View: Fixed lens, 122° diagonal
Dimensions (L x W x D)(mm): 98 x 112mm
Digital Zoom: 16x digital zoom
Digital Zoom: 16X
Connectivity: IP/Network Wireless
Color Night Vision: NO
Color: White
Certification: CE,FCC,RoHS
Brand Name: Reolink
Battery: 6000mAh rechargeable battery (Battery life varies based on settings, usage & temperature)
Audio Output: 1CH BNC
Audio Alert: Customized verbal alerts
Audio: two-way audio
App name: Other
Alarm Action: Email Photo
AI Functions: Human Detection