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Deep learning at the edge dips its toe into the OCEAN

Curt_Hopkins

 

KHK.PNGKyu-Han KimBy Curt Hopkins, Managing Editor, Hewlett Packard Labs

Technology becomes both more exciting and more compelling when you can see it develop, evolve into greater and greater usefulness. Project OCEAN is one such technology. By building on what was already intriguing about it, OCEAN further decreases latency and increases profit for those who employ it.

OCEAN, which stands for “Open and Carrier-grade Enterprise Access Network,” was introduced a year ago at last year’s Mobile World Congress. This year’s MWC, taking place in Barcelona on February 27, sees Labs’ Kyu-Han Kim presenting an evolved and extended OCEAN.

“This year, we are bringing ‘5G to the enterprise’, delivering intelligent access networks, and using deep learning technology to enable new IoT use cases,” said Kim, Hewlett Packard Labs’ Principal Researcher and Mobility Research Manager for the Networking, IoT and Mobility lab.

This new OCEAN-based offering combines HPE’s latency-reducing network with advanced video analytics to offer even more speed, as well as increased data security. The use example Kim gave was interactive digital signage in a retail environment.

In the new system, video analytics at the edge parses the visual signals presented to it by a potential purchaser. This includes a very exciting innovation, an object recognition element that can recognize - in real-time - different types of objects the system has never seen before.

This analytics capability is married to OCEAN for in-situ computing (“at the edge”), obviating the need to send the data off-premises to a data center, further reducing latency at the same time that it increases control over user data. This system will allow users to understand their customers and automatically offer them personally-tailored incentives, all without giving up proprietary data or compromising latency.

Retail is not the only IoT use case, says Kim. Other possibilities include augmented reality for entertainment, pedestrian detection for connected cars, human emotion detection for healthcare, video surveillance for the smart city – in short, anywhere HPE can bring computation to the edge in the service of increased speed, intelligence, and security.

“A few hundred milliseconds matter,” said Kim. “They substantially improve the user experience and enable numerous IoT use cases.” And they save enterprise IT money as well.

The demo is currently up and running at the HPE Pavilion at MWC. 

To further understand the background technology powering OCEAN, watch “Everything computes, emerging technologies that will shape our world," a video from HPE Discover.

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About the Author

Curt_Hopkins

Managing Editor, Hewlett Packard Labs

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