Headroom, a video-conferencing platform, was designed to improve both in-person and online issues with meetings. How? Using AI of course.
Even before the pandemic, the growth in video conferencing markets was rapid, predicted to continue rising over the upcoming years. Virtual meetings, though, bring about difficulties in employee communication, many of which Headroom seeks to address.
One key functionality of Headroom is its ability to keep a transcript of every meeting, including a tally of the number of words said by each person. This leads to an active reduction in time wasted taking notes. And post-meeting, the AI will take this transcript and extrapolate key details such as dates, ideas, and tasks, thereby producing a record that can conveniently be searched whenever.
Furthermore, Headroom tackles the difficulty of body language interpretation, for instance when someone can’t show they agree by nodding since the presenter is showing slides. So, Headroom employs computer vision, automatically converting such gestures into emojis for the speaker. This is also added to the transcript. Moreover, it also uses emotion recognition to catch non-listening participants. Facial movements are represented as data that represent categories like ‘happy’ or ‘bored’. In fact, this data is displayed on-screen so the speaker can get an indication of how their audience is reacting.
In fact, Headroom is not the only platform hoping to revolutionize the field of digital video-calling. Macro makes Zoom collaborative, Mmhmm adds interactivity with backgrounds and tools, and Sidekick sells a unique tablet for video calls. Now, what’s next?
Written by Amanda Y