LAS VEGAS—Cloud computing with centralized processing has transformed the way enterprise and government agencies do business, but many “smart” initiatives benefit greatly by leveraging compute power on the edge of the network, lowering latency and improving the ability avoid problems in real time, according to IWCE 2022 keynote speakers.
Qualcomm probably is best known for its prowess in building chips that drive myriad communications devices, but the company also has a fast-growing business unit that is helping simplify the fragmented Internet of Things (IoT) market for enterprises and governments, according Sanjeet Pandit (pictured above), global head of smart cities at Qualcomm. In this space, having compute power at the edge of the network allows for more effective automation and decision-making in a variety of use cases.
“Everything happens on edge,” Pandit, said during a Wednesday keynote at IWCE 2022 in Las Vegas.
“Smart cities have been talked about for years—years and years,” he said. It’s been talked about so much that the term has become a catchphrase of sorts that doesn’t fully capture what’s really going on. But beyond the hype, the smart cities initiative is a concrete movement focused on ”harnessing the power of digitization,” he said. “You don’t want to deploy technology for the sake of deploying technology.”
And at the core of this digitization is edge computing, according to Rob High, IBM Fellow and VP, chief tech officer of IBM’s Network and Edge Computing.
“From a drone, to a robot, to a police vehicle, even wearables—the amount of computing that’s being built into devices” is impressive, High said during his IWCE keynote on Wednesday. “As a general rule, the closer you bring the computer to the person, (the closer) you’re bringing the task to be performed.”
When combined with artificial intelligence, the capacity for automation has been expanded tenfold—a reality that is particularly apparent within sensor-based Internet of Things (IoT) solutions that are the foundation smart cities, smart buildings, smart stadiums and other “smart” initiatives that are designed to enhance efficiencies.
“Artificial intelligence with IoT (internet of things); that’s the future,” Pandit said, “That’s what’s going to take the industry forward.”
As an example, High described a real-world process in a manufacturing center.
Traditionally, efforts to ensure the quality control of welding has required inspection by a person, which often meant taking apart recently randomly selected constructed products to ensure their soundness, High said. It can be a costly and time-consuming process, and the identification of a problem could require the manufacturer to wrestle with the issue of trying to determine just how many products have similar flaws, he said.
By combining edge computing and infrared cameras observing factory-line welding, manufacturers are able to automate the quality-control process in real time for all products, not just randomly selected ones, High said. The infrared camera tracks the welding as it occurs and alerts the welder immediately, if the weld not strong enough.
The camera filters the steady stream of video data “to examine whether the welds are being performed correctly at the time the welds are being done,” High said. “The advantage is we don’t have to do a destructive test, [and] we can do it in real time.”
Broadly, edge computing allows digitization of “an otherwise analogue world,” High said. And because real-time data is necessary for AI to operate in a ‘wild’ setting, “Without edge computing, we can’t get the lower latencies we need to make decisions.”
From a macro perspective, the edge-computing industry is expected to explode in coming years; there’s already 1.8 billion cores in industrial deployments, smart cities and connected vehicles. High predicted 21.5 billion devices will be connected by 2025. At least in part, High attributed this boom in devices to the pandemic, which caused many organizations to suddenly reconsider everyday interactions like ordering coffee or going to the grocery store.
“It’s actually accelerated the transformation of process that we considered relatively analogue in nature—process we’ve developed to protect people from each other has gotten people to consider how to automate processes,” High said.
But while it’s expected to expand, there are sticking points the industry must overcome. Two notable hurdles noted by Pandit are the fragmentation of devices and the lack of a unified vision. To meet this challenge, it’s necessary for “a solid consortium to go in there and respond, you cannot solve this by yourself,” Pandit said.
This UrIoTNews article is syndicated fromGoogle News