Intel’s new RealSense ID system uses on-device AI for facial authentication

Intel has debuted a new camera system called RealSense ID which uses on-device AI for facial authentication.

RealSense ID is designed for a range of applications including smart locks, access control, point-of-sale, ATMs, kiosks, and more.

An on-device active depth sensor is combined with a neural network to perform secure facial authentication at the edge.

Sagi Ben Moshe, Corporate Vice President and General Manager of Emerging Growth and Incubation at...

South Korea deploys 5G MEC tech at Incheon airport to fight COVID-19

South Korea is deploying 5G MEC (Mobile Edge Computing) tech at Incheon International Airport to help fight COVID-19.

While, like many countries, COVID-19 cases have spiked in South Korea in recent days—the country is often considered as conducting one of the world’s most successful responses to the pandemic.

Incheon Airport is South Korea’s largest and the main gateway into the country. The MEC technology is being installed at both the arrival and departure halls...

EdgeX Foundry’s Hanoi release focuses on edge use cases for manufacturing and retail

EdgeX Foundry has released its latest semi-annual iteration, called Hanoi, with a plethora of new features and industries targeted.

The release from the LF Edge-based project within the Linux Foundation, which is a minor offering, includes simplified deployment protocols, as well as improved performance and scalability testing.

The key launch from the product side is command line interface (CLI), enabling develoeprs and users to issue various EdgeX API calls to its...

NexOptic brings edge imaging AI expertise to Arm’s Partner Program

NexOptic is joining Arm’s Partner Program to simplify the deployment of imaging AI on edge devices.

Arm’s Partner Program is an initiative aimed at establishing strategic alliances which enhance the Arm ecosystem. All partners go through a robust audit process to gain Arm’s valuable recommendation for their specific field.

NexOptic specialises in using AI to enhance imaging solutions which can be deployed on IoT edge devices in addition to smartphones, laptops, and...

Expanding the possibilities of endpoint AI in vision applications

In 2016, truly high accuracy facial recognition on a smartphone was a remarkable innovation but is now close to becoming fully mainstream. While many consumers now see this as a basic smartphone feature, it uses incredibly complex artificial intelligence (AI) technology, with only half of consumers aware of how essential AI is to enabling this feature. 

Now we are seeing vision-based AI applications go one step further into even smaller edge and endpoint devices. We are now...

Nokia brings ‘AI to the edge’ for an enhanced 5G experience

Finnish telecoms giant Nokia has announced a new solution which brings “AI to the edge” for an enhanced 5G experience.

The AVA QoE (Quality of Experience) at the Edge service helps CSPs (Customer Service Providers) to deliver improvements by enabling automated actions which should instantly fix a customer’s issue.

The automated wizardry is achieved by deploying AI at the edge, close to the customer. Nokia says AVA QoE at the Edge brings “code to where the data...

ClearBlade partners with Advantech to offer edge AI smart monitoring

Industrial Internet of Things (IIoT) firm ClearBlade has partnered with intelligent systems company Advantech for an edge AI-powered smart monitoring solution.

The companies are using AI at the edge for things such as: identifying objects for building occupancies, virtual turnstiles for automated ticketing, and vehicle recognition for parking flow optimisation.

Eric Simone, CEO of ClearBlade, says:

“This bundled offering represents yet another step in...

Eclipse Foundation IoT developer survey: Edge analysis and highlights

The Eclipse Foundation's latest IoT developer survey has explored edge computing trends for the first time - with interesting results.

The study, which polled more than 1650 respondents from various industries and organisations, is also aimed at improving the foundation's Edge Native Working Group, looking at delivering open source edge platforms.

Artificial intelligence was reported as the most frequent edge workload, cited by 30% of those polled. Control logic (29%),...

AI at the edge: Omdia notes five key factors to consider

One of the most important potential areas for edge computing is the impact on artificial intelligence (AI) at the edge - and a new report from Omdia explores five key areas of growth.

The analyst firm's paper, titled 'Connecting the Dots: AI at the Edge', noted that the Internet of Things (IoT) is one of the main drivers for 'AI-at-the-edge', yet a number of different applications across multiple vertical market also apply.

The report noted five factors that would shape...

AI chipmaker Hailo releases new form factors to fit more edge devices

Hailo wants to bring its groundbreaking AI chips to more edge devices with the release of new form factors.

The company’s AI modules offer unparalleled performance with up to 26 tera operations per second (TOPS).

In common neural network benchmarks, the Hailo-8 AI Acceleration Module outperforms Intel's Myriad-X by 26x and Google's Edge TPUs by 13x Frames Per Second (FPS) on average:

Hailo’s M.2 and PCI Express Mini Card modules now include the Hailo-8...