August 11, 2023

A PTZ camera is an amazing piece of technology which can move to follow the action, whether that's in a concert hall, lecture room, conference space, worship service, TV studio or meeting room. The PTZ revolutionized video production: a single person could now control many PTZs – a huge saving in time, resources, and cost.

August 18, 2022

The Lumens LC200 was the first of the CaptureVision series. With 4 channels of AV switching, source mixing, video capture and streaming, plus fast integration with LMS platforms, it has quickly become a hit with universities, public sector organizations and corporate companies. 

August 17, 2022

The key to automatic tracking is subject identification. The person must be clearly identified against any background in order to track flawlessly.

August 04, 2022

With Lumens cameras, the head is designed to move smoothly and at variable speeds in each direction, and to work in tandem with the zoom lens to deliver lifelike results. 

May 24, 2022

Lumens manufactures two kinds of auto-tracking PTZ cameras: dual-lens and single-lens cameras. What's the difference and how do you select the right model for your needs?

May 23, 2022

USB cameras are often the first choice for video conferencing. Simply connect USB to your computer launch Zoom, Google Meet or Microsoft Teams, and the meeting can begin. But it’s not just USB cameras that can be used for conferencing. In fact, sometimes, the alternatives may be the better solution.

May 16, 2022

It is standard practice to use multiple cameras to switch between different angles. This is true in all kinds of environments from studio and conference production, to sports and music programming.

May 13, 2022

Stages are lit for dramatic effect, not to make life easy for the camera. They are designed primarily to enhance performance and elicit an emotional response from the audience.

April 08, 2022

Developed by Lumens ProAV Lab, the Smart AF function intelligently identifies facial characteristics, such as eyes, nose, and mouth. The system has been trained on a database of millions of human faces using AI deep learning algorithms.