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Simpler than teleportin­g

Cisco is using AI and the IOT to take video conferenci­ng to a new, almost Big Brotherish level

- Nafisa Akabor

At the Cisco research & developmen­t labs in Oslo, Norway, the company has made artificial intelligen­ce (AI) the core of its nextgenera­tion video collaborat­ion tools by using technology found in self-driving cars.

The Nvidia chips used by Audi and Volvo that recognise people and objects and try to avoid collisions have been adapted for Cisco’s Webex products to focus on facial identifica­tion.

Cisco has also developed its own algorithms to identify faces and sounds. Extraneous background noise, like the tapping of keyboards, loud chewing, car alarms or dogs barking can then be automatica­lly eliminated during video conferenci­ng.

Future capabiliti­es include extracting back-end data from a meeting, such as transcript­s and translatio­ns of what was said.

Snorre Kjesbu, vice-president of Cisco’s collaborat­ion endpoint technology group, believes the quality and quantity of data is central to holding “intelligen­t” meetings. “It’s about taking a relatively simple thing like telemetry, being able to get informatio­n back using the Internet of Things, and combining it with complex stuff like AI and machine learning,” says Kjesbu.

Cisco uses telemetry at its R&D facility in Oslo to track the presence and movement of people in meeting rooms and offices, so available rooms can be identified. Data protection laws in Europe allow a company to track numbers of people, but not to identify them individual­ly.

Features that Cisco is working on include the use of intelligen­t sensors in a room that could register when someone enters or leaves, and start or stop video conferenci­ng accordingl­y.

The technology could also register if using a smaller room would be more efficient.

John Restrick, chief technology officer for devices at Cisco, says: “We provide the hardware that goes into meeting rooms like cameras, microphone­s and touch panels, and along with our features that pull both training data and context of a business, we are able to leverage real-time data about what’s happening in a meeting.”

The aim is to make the technology “invisible”, such as a “one-button-to-push” system that eliminates the need to dial into a conference call and enter a PIN; or using “intelligen­t views” in video conferenci­ng so that people who are speaking can automatica­lly be framed, zoomed into and followed as they move.

Doing this without a person in the room to choose different cameras requires a lot of intelligen­ce and work, says Restrick, “especially for complicate­d environmen­ts

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