Feb 17, 2021

Verizon is doubling down on autonomous machines with 5G

5G
Drones
IoT
Harry Menear
4 min
Image Courtesy of Verizon
The US telecom operator is pouring money into startup like incubed IT and Skyward, using its 5G network to develop the future of autonomous things...

US mobile network operator Verizon is using its cutting edge 5G network (as well as its existing 4G LTE infrastructure) to accelerate the development of autonomous devices, from drone fleets to industrial robotics. The deal is expected to close in the first half of 2021. 

Most recently, the company announced this week that it has entered into an agreement to acquire incubed IT, a startup with a software platform for helping autonomous robots navigate industrial environments. 

“This acquisition further demonstrates Verizon’s commitment to developing new and innovative businesses and use cases leveraging the power of 5G,” said Rima Qureshi, chief strategy officer at Verizon. 

“Mobile robot orchestration is a real and emerging challenge faced by enterprises today. By integrating incubed IT’s autonomous software with Verizon’s 5G platform, we will have the ability to power robotic automation at scale,” which he added will drive new opportunities for Verizon as its industrial customers look for new ways to operate and monitor autonomous robotics applications in industrial environments like factories and logistics hubs. 

Industrial robotics - which require high throughput and ultra-low latency connections, usually to private, localised 5G networks - are one of the most promising 5G applications expected to drive adoption across the manufacturing and supply chain sectors. 

Verizon’s vice president of new business incubation, Elise Neel, believes “incubed IT’s next-generation software and autonomous fleet management server are foundational components for the future of terrestrial robotics,” adding that the combined capabilities of Verizon’s 5G network and incubed IT’s platform will allow for increased resiliency and responsiveness in industrial robotics applications. 

Self-delivering pizzas?

The ability for 5G to allow large fleets of autonomous vehicles to operate safely is one of the technology’s most promising elements of the project, with some people pinning all their hopes for self-driving cars on the widespread implementation of 5G. 

Back in 2018, Bijan Khosravi wrote in Forbes that “Autonomous cars will become a reality, but it won’t happen until 5G data networks are ubiquitous,” adding that current 4G networks don’t provide the kinds of latency that, at the time, might have prevented the death of a pedestrian at the hands of one of Uber’s self-driving prototypes - something that Uber claimed was “largely due to human error” due to a distracted backup driver. “The current 4G network is fast enough for us to share status updates or request rides, but it doesn’t have the capability to give cars the human-like reflexes that might have prevented the Uber accident,” wrote Khosravi. 

In the same sphere - just slightly higher up - drones and automation have been growing closer to a reality for several years and, like vehicles on the ground and robots in warehouses, it’s widely believed that 5G will be the key to unlocking their full potential. 

“Drone delivery is noticeably uncommon today, but it definitely holds tremendous potential,” says Eric T. Ringer, co-founder and chief of staff at Skyward, a drone startup owned by Verizon. “Especially with a growing trend in contactless solutions and a desire for more flexibility in the way that consumers get access to the things that they need and care about, it could be a game changer. Will it be as pervasive as the WEF predicts by 2030? That’s still up in the air. Until then, we have a lot to consider, particularly where drone deliveries make the most sense.”

Ringer and his team believe that the best initial testbed for drone deliveries is suburbia, where large yards and less dense populations make deliveries easier than in densely populated cities filled with high-rises. He adds that essential medical supply deliveries remain the most promising early use case. 

At CES this year, Verizon and Skyward announced a collaboration with logistics firm UPS to use Verizon’s 4G LTE and 5G networks to deliver retail products to residences in Florida. 

“We will need the ability to manage and support multiple drones, flying simultaneously, dispatched from a centralized location, operating in a secure and safe environment. To do this at scale, alongside Verizon and Skyward, we’ll need the power of 5G,” said Carol B. Tomé, CEO of UPS.

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May 11, 2021

EDGEMATRIX and NTT DOCOMO deliver AI at the edge

5G
AI
APAC
Edge
Harry Menear
3 min
NTT DOCOMO and EDGEMATRIX are collaborating to expand the EDGEMATRIX ecosystem in Japan and overseas.
NTT DOCOMO and EDGEMATRIX are collaborating to expand the EDGEMATRIX ecosystem in Japan and overseas...

Leading Japanese telecommunications firm NTT DOCOMO, together with startup EDGEMATRIX, is harnessing the power of 5G to support artificial intelligence-enabled video, real-time analytics and, ultimately, the next step in the evolution of the modern smart city. 

Founded under the roof of Silicon Valley tech firm Cloudian, EDGEMATRIX has grown into a cutting edge startup based in Japan. NTT DOCOMO has been a shareholder in the company since 2019, having spent the past two years jointly developing and commercialising EDGEMATRIX's revolutionary edge-AI platform using high-speed, high-capacity, low-latency 5G technology. NTT DOCOMO, together with EDGEMATRIX, launched a world-first edge AI platform for intelligent video analytics, enabling high resolution, high security, and real-time video using AI. 

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Courtesy of EDGEMATRIX

The platform simplifies, manages and oversees the implementation and integration of AI at the edge, which captures, analyses and stores video close to where it is captured in industrial and retail settings, "on location at factories, buildings and other outdoor and indoor locations." The solution is also used in social infrastructure such as roads, railroads, and long-term care facilities for safety monitoring and anomaly detection.

Using Edge AI Box, a compact indoor and outdoor device equipped with a GPU for deep learning-based AI and a communication module (WiFi/LTE/5G) together with various interfaces such as camera connection, it becomes possible to process video streaming from surveillance cameras on-site (at the edge) and in real-time. EDGEMATRIX's Edge AI Boxes can be installed across a site and then monitored using the company's platform. The platform maps the locations of multiple Edge AI Box devices installed on site, monitors their operational status and enables the devices to be controlled remotely. 

EDGEMATRIX's customers can use the platform to pruchase additional AI applications from a rapidly-expanding ecosystem which allow them to implement the right solution for the right situation. This simplifies the implementation and upgrade of edge AI for processing and storing video data captured with video cameras at customer premises either outdoor or indoor. Using "Edge View" feature, it is also possible to simultaneously display on the browser a large number of AI-processed real-time videos from the field.

Partnerships like this are key to NTT DOCOMO’s efforts to integrate 5G technologies into the modern enterprise. 

Zaif Siddiqi, Executive Director and Global Head of NTT DOCOMO’s 5G & IoT Business Department, comments: “When you're approaching digital transformation, there's more to it than just leveraging cutting edge technologies into new customer experiences.” Unless the needs of the customer, and the underlying market forces at play, can be truly understood, “5G doesn’t mean anything,” he explains, adding that in order to find the right contexts for deployment, “Selection of the right partners is extremely important to delivering on the potential value of 5G.”  

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