Verkada CB61-TE 4K IR Outdoor Bullet IP Security Camera with Telephoto Zoom Lens

No NVRs, DVRs or Servers

Simple User Interface

Automatic Firmware Updates

Manage User Access

Automatic Alerts

Share Live Video

Product Roadmap

Low Bandwidth Requirements

Install 1 - 1000+ Cameras

10-year Product Warranty

Typical IP security cameras consume large amounts of data, which in-turn slow down network performance across all connected devices. Verkada’s hybrid cloud approach is designed to minimize bandwidth impact without sacrificing quality or performance.

Even in areas with limited connectivity, where other cameras fail to operate, Verkada cameras continue to work. When Internet connectivity is interrupted, Verkada cameras will continue to record, while all footage can be easily accessed locally and once Internet connectivity returns.

Typical IP security cameras consume large amounts of data, which in-turn slow down network performance across all connected devices. Verkada’s hybrid cloud approach is designed to minimize bandwidth impact without sacrificing quality or performance.

Even in areas with limited connectivity, where other cameras fail to operate, Verkada cameras continue to work. When Internet connectivity is interrupted, Verkada cameras will continue to record, while all footage can be easily accessed locally and once Internet connectivity returns.

Powered by industry-leading edge processing, Verkada cameras automatically analyze footage to log periods when activity occurs. Through Command, users are then able to easily search historical footage across cameras for any activity, including select areas of interest within frame.

When looking for events in a specific area of interest, users can search activity across a grid. Verkada then automatically surfaces all relevant footage. From there, users can easily archive, export, and share.

Verkada’s cloud-based People Analytics feature is a powerful tool to simplify investigations. As footage is captured, Verkada crops high quality images of people detected in frame. Users can then search and filter results based on many different attributes, including gender traits, clothing color, and even a person’s face.

From a mobile device, users can also search for matches using their built-in camera or existing photo library.