Ezviz C3X Smart Wireless 2-Megapixel Fixed Camera, Outdoor/Indoor, White

Wireless Outdoor Surveillance Cameras, They are one of the latest security methods used in the world, providing you with perfect monitoring even in the absence of lights.

Specifications for Wireless Outdoor Surveillance Cameras:

- Wi-Fi: 802.11 b/g/n

- Color: White

- Dimensions: 0.42 kg Weight

- Memory/Internal: No

- Screen: No

- Memory Card Slot: MicroSD up to 256GB

- Camera Placement: Desk, Ceiling Mount, Wall Mount

- Operating System Compatibility: iOS/Android

- Compatible with Smart Assistants: Google Assistance, Amazon Alexa

- Resolution: 1080p

- Model Number: CS-CV310-C0-6B22WFR

- 2-Year Warranty

- Compatibility: iOS/Android Devices

- Null: 4 mm @ F1.6, view angle 89° (H), 106° (D)

- Weather Resistance: IP67

- Sound Detection: Yes

- Motion Tracking: Yes

- Motion: Manual

- Night Vision: Yes

Features:

- Wireless outdoor surveillance cameras with dual-lens Wi-Fi technology provide you with colored video at night, realistically, even in the absence of lights.

- Issue precise alerts when people and vehicles appear in the areas you have designated.

- Provide you with a professional and high-tech protection system with C3X.

- Equipped with a built-in dual-lens camera with a resolution of 2 megapixels.

- Capture vibrant colors using two lenses, one records ambient brightness and the other captures color information.

- Wireless outdoor surveillance cameras provide you with a detailed and realistic image.

- Work with dual-lens Wi-Fi technology and built-in AI system.

- Provide you with color night vision without spotlights.

- Withstand different weather conditions thanks to the full metal casing with an IP67 rating.

- Can withstand rainy, sunny, stormy, snowy, and dusty days, providing peace of mind throughout the year.

- Emit a loud alarm and flash a light when interesting things are detected, and you receive the notification in a fraction of a second.

- Wireless outdoor surveillance cameras record the movement of people and vehicles through deep learning feature.