A particular technology to keep

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Edge infrastructure is what enables, for example, a smart factory floor, equipped with sensors and other connected devices that generate endless streams of data.

“The manufacturing and warehousing sectors have been early adopters of solutions such as predictive maintenance and remote support using augmented/virtual reality (AR/VR) on-premise edge computing systems,” says Shamik Mishra. “Warehouse automation using robotics, location-based solutions and supply chain optimization are also being considered as key edge use cases.”

an eye on is computer vision, an AI discipline focused on recognizing images and/or videos using a computer.

“There’s some really interesting work going on in canada mobile database around creating a smart factory floor using computer vision to identify quality issues in products before they’re visible to humans,” says Paul Legato, vice president of platform engineering at Wallaroo.

Experts expect computer vision applications running on edge infrastructure to become a source of new use cases in the future.

“Video cameras can be the best sensors, and they’re either already there — like security cameras — or can be easily added to an edge computing environment,” says Saurabh Mishra, senior manager of IoT at SAS, adding that computer vision is at the heart of the most interesting use cases he sees today. What’s more, there’s a lot of potential for additional applications.

“Computer vision can support a variety of edge scenarios due to its flexibility,” he says. “This is particularly useful in scenarios related to quality inspection in discrete manufacturing, safety-related scenarios such as detecting intruders or objects in a confined space, or detecting the proximity, number and flow of people in a space to aid in social distancing or understanding traffic patterns.”