AI is now being broadly integrated throughout most industries — and cameras and video conferencing are no exception. With the introduction of AI chipsets to cameras and the rise of AI virtual apps, how will AI affect video recording and our experiences within the meeting room?

Let’s have a look at some of the ways AI is being deployed in video conferencing and what you can look for at your next meeting.

AI-Powered Camera Settings: Auto Framing and Adaptive Lighting

Sophisticated AI algorithms are leading the charge with their ability to enhance functions like Auto Framing. These algorithms enable cameras to capture subjects automatically and accurately, even in challenging conditions. This means no more blurry images in meetings and multiple people all remaining clear within the frame.

Moreover, AI facilitates adaptive lighting, allowing cameras to automatically adjust settings based on the detected environment. This means automatically adjusting the color settings for dimly-lit rooms or high-contrast, backlit environments.

Additionally, AI plays a pivotal role in enhancing images in low-light environments. AI enhances sensitivity and reduces digital artifacts, resulting in more clear and crisp images even in dark meeting rooms at nighttime.

Real-time Enhancements & Controls

AI has revolutionized conferencing cameras by executing functions with moving objects in real-time. Cameras can now swiftly recognize various objects or people as they appear in the frame and optimize settings on the spot.

One example is Dynamic Detection where the camera can reframe or refocus itself when new people enter or leave the frame. When used in cameras like the AVer CAM570, adjustments to the visual changes of the meeting all get recorded seamlessly.

This real-time capability of AI extends to gestures and controls. With the AVer CAM550, participants can use Gesture Control to operate the camera remotely. Functions like turning on/off camera tracking or zoom in/out can all be done with on screen gestures and eliminate the need for direct touch.

Facial Detection

While facial detection has become more associated with security cameras or unlocking smartphones, it is also being deployed in video conferencing cameras. By harnessing advanced facial detection algorithms, cameras can swiftly identify and focus on the faces of meeting participants with remarkable precision.

Moreover, AI enables automated tracking, allowing cameras to seamlessly track faces or bodies. This means that cameras, like the AVer CAM570, will automatically pan to follow a moving presenter or track over to the voice of the person speaking.

AI can also detect faces to perform more advanced operations. For instance, in a meeting room of multiple participants, the AVer VC520 Pro3 camera uses Smart Composition to crop and reframe each person into one seamless image so that everyone appears the same size on the screen.

AI Audio Processing

AI also affects the audio technology in the conferencing room. You’re probably familiar with the AI function in video conferencing apps where the camera automatically switches based on the audio detected. Yet AI algorithms can more deeply process the audio signal for improved clarity.

For example, AVer’s speakerphone system FONE700 performs AI noise cancellation, meaning that background noises or air conditioning hums can be minimized so that vocal frequencies are the clearest in the room.

Post-Processing & Image Organization

In-camera image processing has been seriously enhanced by AI integration. Cameras can now intelligently enhance images, refine details, and improve overall quality — all without the need for photoshop or other image processing techniques. This allows virtual meetings or presentations that are posted online to have less time spent correcting video quality and result in faster distribution.

Furthermore, machine learning algorithms streamline image search and categorization, enabling efficient organization of vast video and image collections based on content, location, or other parameters. This not only saves time but also facilitates easy retrieval of specific images when needed.

AI in Video Conferencing Moving Forward

AI integration in cameras has revolutionized photography both outside and inside the board room. From autofocus capabilities to facial detection to gesture controls, video conferencing cameras are adapting to include these powerful new technologies.

This means that one can expect in the future to see more augmented reality and mixed reality experiences where AI plays a role in seamlessly integrating virtual elements into the real world. This has the potential for future meeting applications like integrating design plans or overlaying relevant information with the recorded image.

And this is merely the beginning for changes to come in the world of virtual meetings. With AI, cameras have become more intuitive and efficient, transforming the meeting experience across all sectors into something more immersive and dynamic.

Have a look at how AVer is bringing AI to the forefront of video conferencing.