Kiosks: Automatic for the People

Self-Self-serve kiosks have become a regular sight in fast QSR operations as restaurant groups awaken to their benefits – and the Coronavirus pandemic has only served to expedite their uptake.

“Kiosks were gaining momentum before the pandemic—lots of customers were saying they would prefer going to a restaurant that uses them versus one that doesn’t,” says Patrick Hagemeister, international account director at Pyramid Computer, which supplies kiosks to a number of high-profile restaurant groups.

“That trend has been enforced by the pandemic. People are definitely more willing to use them now.”

There have been concerns about the cleanliness of touchscreens during the pandemic and restaurant operators and technology providers have responded to these concerns. While some companies employ members of staff to wipe clean screens after each use, other simple solutions have included sanitisers being attached to kiosks, an approach implemented by Pyramid.

Furthermore, there is a drive towards creating touchless kiosks, where depth cameras can record customer movements enabling them to make a selection without having to touch the screen.

Touchless kiosks put QSRs back on track: Some see 60% higher revenue, says @Pyramidcompuk via @insightdottech

One such company that has recognised the advantages of installing kiosks is Hesburger, the largest fast food chain in Finland and the Baltics, operating in nine countries with around 500 restaurants. The company has begun equipping its restaurants with Pyramid’s Polytouch 32-inch Passport kiosks.

The kiosks contain an Intel® Core processor that ensures reliable and continuous performance with a payment module that handles every process quickly and efficiently. The screens display menu information in high resolution and the kiosks feature a wide-angle scanner that captures barcodes on promotional coupons. When not in use by a customer they display dynamic content and can be used as an advertising tool.

There are additional benefits to kiosks, which can increase customer order spend as well as help speed up wait times, says Hagemeister.

“It depends on how the menu is structured and if it allows for cross selling, but the more modifiers the menu has the better. If [a kiosk] is adding suggestions and keeps asking questions at every single step without bothering the customer so that they are still having a convenient customer journey, then the customer will order more.”

He suggests this is the case because kiosks can reduce the pressure on customers to make quick decisions and can also use high-quality food images to entice them to add to their order in a way that a vocal upsell by a cashier often can’t. The kiosks always provide a consistent experience unlike placing an order with a person, where the customer experience is entirely dependent on the staff taking the order

“When using a restaurant at rush hour, if you have a queue lined up behind you feel the pressure to not spend more time. If you go to the kiosk you will find nice pictures and it makes you hungry and the suggestions help. You have more time to carefully choose what you want and maybe order more.”

Hagemeister says some of Pyramid’s customers are reporting a 60% rise in average customer spend compared to the regular cashier. “That’s crazy high. The pandemic has made all restaurants suffer very much or most of them that haven’t been able to adapt to delivery and kerbside pick-up. When restaurants can reopen kiosks give them a good chance to earn more money and get back on track.”

Smile for the Camera

There are other advantages of using kiosks. Hagemeister points to software and hardware such as cameras fitted on kiosks that can see how many people are in a queue and which can reduce the number of menu items available accordingly in order to increase throughput. He also says that cameras could potentially be used for demographic recognition to help businesses make more intuitive upsells.

“Then you can recommend items based on gender and age, which will help create a list of items that you attribute to certain customer groups. Even first-time customers would get a recommendation based on age and gender.”

Intel also says that demographic recognition for kiosks can play an important role in the customer journey and that its technology can help transform kiosks from merely taking customer orders to being much more intuitive.

“An interactive kiosk in a restaurant does not only take your order and pass it back to the kitchen so that they can prepare it,” says Farhaan Mohideen, product strategy and IoT spokesperson at Intel.

Intel’s partners use both its hardware and software to build intelligent kiosk systems.

Mohideen suggests kiosks enabled with emotion recognition and gaze detection can provide key information to the restaurant. Facial expressions could provide information as to whether a customer might need help with their order or might alert the business to a problem with the software. Similarly gaze detection could recognise what caught the user’s eye and remind the customer at the point of checkout if they would like to add it to the basket.

“When I’m standing at a kiosk, if I’ve provided my credentials through an app or facial recognition it might show my past orders so I don’t need to go through the full menu to figure out what to order.”

As the kiosk develops its intelligence with AI algorithms, Intel provides software toolkits such as Intel® Distribution of OpenVINO toolkit that allows algorithms to be fully optimised to run AI inferencing best on its hardware.

This also opens new opportunities for partners to experiment and continue to innovate and bring new features to kiosks, says Mohideen, including enabling touchless interactions as well as integrating loyalty as part of a single transaction.

Use Case: Transforming Healthcare in Amazon Rainforest

The Amazon rainforest is renowned for its ecological importance, natural beauty, and unique species found nowhere else on the planet. It also features difficult terrain, formidable transport logistics, and a sparsely distributed population.

The low population density, combined with the remoteness of the area, make it difficult to create the kind of healthcare networks that diagnose and support patients elsewhere in the world. Without access to advanced technology, it can take up to six months for a patient with a progressive disease like breast cancer to be examined and receive their results. Transporting X-ray film canisters by boat, for example, can take up to 45 days.

Telemedicine offers Brazilian health officials the potential to radically improve time-to-diagnosis for patients living in the Amazon, cutting the interval from months to minutes. Of course, deploying telemedicine infrastructure in this environment is easier said than done.

Medical Imaging at the Rugged Edge

Rough terrain is not the only challenge for diagnosticians attempting to deliver radiology services to the Amazon. Population density in northern Brazil can be as low as two individuals per square kilometer, according to the Radiological Society of North America.

Therefore, any radiology services provided to inhabitants of the Amazon region must be electronically transmitted to remote physicians who sometimes work in large cities hundreds of miles away. Unfortunately, the typical data link between the Amazon rainforest and better-equipped facilities in Manaus or São Paulo is a 128-256 Kbps satellite backhaul channel in the Ku band. A single mammogram, converted to the Digital Imaging and Communications in Medicine (DICOM) file standard, can be as large as 64-128MB per file.

The transmission times can easily become overwhelming, limiting the usefulness of mobile diagnostic equipment even when it is available. Upload times of more than two hours for a single set of images are not unknown.

The combination of unstable telecommunications, low population density, minimal healthcare infrastructure, and wild conditions meant that a teleradiology solution for the Amazon would be extremely costly, if not cost prohibitive.

In response, Brazilian health officials partnered with Diagnext, a telehealth pioneer founded out of the academic research community. Diagnext offers a Telemedicine Solution for Hostile Environments that leverages an advanced file compression system and network management tools to achieve substantial improvements in both file size and transmission speeds.

The Diagnext solution works in tandem with DICOM gateway equipment, which in the case of the Amazon project is built on Intel Atom® or Intel® Celeron® processors. The gateways are capable of supporting multiple communication technologies, including 3G, 4G, DSL, or satellite backhaul, depending on what’s available. Average installation time is under five minutes, and the gateway devices are managed remotely.

The real accomplishment is the ability to quickly diagnose and subsequently treat remote populations via more than 100,000 breast cancer screenings each year. via @insightdottech

Data Compression Shortens Time-to-Diagnosis

After the patient has been examined, medical images are transferred to a nearby Diagnext DICOM gateway. There, they are compressed, encrypted, and transmitted from the endpoint to the cloud before being sent on for examination. Diagnext’s compression technology analyzes more than 2,000 file types according to 10 different compression models to find the most efficient method. Data is then compressed in several stages and subdivided for better archiving, storage, and transmission.

Rugged variants of the Atom and Celeron processors powering the DICOM gateways offer the performance necessary to support multiple concurrent communications links. They also execute AI-based network optimization functions that ensure data is transmitted over the channel with the most available bandwidth to ensure the fastest transfer speeds possible.

“Our system uses up to five communication channels at the same time with a technology called SD1. We developed SD1 to use all the available channels,” says Diagnext CEO and founder Leonardo Severo Alves de Melo. “For instance, if a location has working cellular phones, the system will use cellular together with the satellite.”

The average compression efficiency for all types of data that pass through the Diagnext system is 70%, with gains as high as 95% depending on the image type. This results in an overall 22x network performance improvement when transmitting radiological data. The average measured transmission time is less than two minutes for an X-ray and under four minutes for mammography exams, which, in the case of patients in the Amazon rainforest, enables life-saving time-to-diagnosis.

The Diagnext system is also capable of resuming transmissions in case of interruption—a critical feature in an uncertain network environment—and is capable of transmitting far more results per gateway in a fraction of the time. Back-end storage is handled by a Picture Archiving and Communication System (PACS) in a central hospital.

You can even read the compressed files natively to maximize storage space, Severo Alves de Melo explains.

“Diagnext can store compressed data and you can read it compressed,” he said. “In our case, you don’t have to uncompress data to read it. You read it directly, which is a very important feature.”

Reduced Data, Less Time, and Lower Costs

Diagnext’s years of work on the problem of bringing diagnostic radiology to the Amazon rainforest has delivered tremendous performance gains, which not only translates into a faster time to diagnosis, but also lower costs. According to Diagnext representatives, the Amazon teleradiology project was completed using just 60% of the Brazilian State Health Department’s original budget.

But the real accomplishment is the ability to quickly diagnose and subsequently treat remote populations via more than 100,000 breast cancer screenings each year. Over the past decade, transmission times for radiology images have fallen from more than two hours with previous solutions to under two minutes today on the Diagnext infrastructure.

These tremendous results prove the possibilities that IoT technology innovations can bring to populations around the world. Telehealth is revolutionizing care delivery and improving the quality of life for even the remotest of populations—and it’s happening today.

When the Customer Experience Feels Deeply Human

As an Italian, I have been educated in the finer points of baking since childhood. Yet even I make mistakes every now and then. So I have the greatest sympathy for bakery workers who have minimal training and even less margin for error. Could technology help them do their job?

It turns out that the answer is yes. The clever application of AI can transform even the most inexperienced worker into a top chef who bakes perfection into every bite. But before I reveal the secret, I must explain why I am so excited about this new technology.

Baking Is a Fine Art

Italians are known the world over for our passion for food. Indeed, we are taught to identify the main ingredients of every dish, trace their origin, and learn how to combine the raw materials to bring out each flavor to its fullest potential. Without question, we have made a philosophy of gastronomy—more, we have made it a sacred art.

Not a simple matter of transforming the chemistry of food, making proteins digestible, and wiping out microorganisms, for Italians, a meal must not be overcooked or undercooked, but done “just right.” An overcooked pizza is too crunchy and crumbles, and undercooked bread feels like Plasticine. We would rather form it into balls and toss it to our dinner companions than eat it.

As a lover of food and a philosopher of aesthetics, flavor, and taste, I have a knack for cooking. But it is easy to make mistakes when baking. Sometimes I fail to set my oven to the right temperature or time my dish appropriately. In the case of bread or pizza, it is downright demoralizing when I fail to get the right crunchiness and crispness that would otherwise delight my taste buds.

AI Powers the Virtual Baker

At this point, you may be asking yourself: What does any of this have to do with technology?

Allow me to draw your attention to PreciTaste, a company that’s part of the broader Intel® Partner Alliance. It has developed an artificial intelligence system that ensures baking perfection.

As I discussed advanced cooking solutions with the company’s executives, I came to appreciate the creative power and ingenuity of their technologies. Their experts used artificial intelligence (in the form of computer vision) to control how bread is baked. The aptly named Virtual Baker is capable of identifying what is inserted into the oven and then selects the appropriate setting.

But it doesn’t stop there. Since the entire cooking cycle is monitored by computer vision, it finds the perfect balance at each moment to avoid overcooking or undercooking the food, as illustrated in Video 1.

Video 1. The PreciTaste Virtual Baker uses computer vision to ensure a correct bake. (Source: PreciTaste)

With a few minor adjustments—voilà!—a standard oven can be converted into an intelligent one, guaranteeing a perfect outcome. @PreciTaste via @insightdottech

It is worth noting that the Virtual Baker can be installed in any industrial oven, without the need to reengineer the product. Since the technology incorporates Intel® edge computing within the sensor package, the oven manufacturer need only connect a few cables to control the device.

With a few minor adjustments—voilà!—a standard oven can be converted into an intelligent one, guaranteeing a perfect outcome (with no Italian oversight required). The added costs are offset by the operational advantages of transforming the oven from a passive device into an intelligent and autonomous one that saves on human resources, electricity bills, and prevents waste.

To enhance the user experience, the Virtual Baker system identifies on which rack level the food was added, and tracks what’s in the oven. It accepts mixed loads—for example, one tray could be filled with croissants, another with loaves of bread, and a third tray could have dinner rolls.

And if a baker puts an incompatible product mixture into the oven—such as pretzels that bake at 425ºF and cupcakes that bake at 350ºF—they’re notified of the incompatible load.

Monitoring Shelves to Predict Customer Demand

If that weren’t enough, PreciTaste’s technology goes a step beyond. Though the developers could sit on their laurels, after having made an intelligent oven, the PreciTaste experts decided to push their creativity further.

Its Baking on Demand solution predicts real-time demand and keeps an eye on baked inventory so you bake the ideal amount of food—syncing production with demand (Video 2).

Video 2. The PreciTaste Baking on Demand system monitors a bread display shelf in real time. (Source: PreciTaste)

Since no customers will have to forego their favorite bread, and no baker will have to produce more bread than necessary, this solution has the further advantage of enhancing sustainability and reducing food waste.

Fresh Bread Satisfies the Customer

Whenever I see technology in the service of humanity, I cannot help but be fascinated by the evolutionary journey that has brought us here. Beyond cooking the perfect bread, this technology saves us time and enhances the quality of our daily lives.

I say this because it is not limited to streamlining operations and workplace efficiency; it enhances the consumer experience. Though it is often referred to as “customer experience,” for an Italian writing about food, it seems more apt to talk about the “human experience.”

After all, finding your favorite bread in stock, fresh, and cooked to perfection satisfies two of your basic needs: namely, the need to be nourished and to feel cared for. The level of customer care that many companies used to aspire to achieve—that makes us feel seen and appreciated in unexpected moments, and fills us with a sense of satisfaction—is now within reach, thanks to PreciTaste’s technological ingenuity.

What it really comes down to is satisfying the human experience by showing care, attention, and fulfilling our unspoken, though deeply felt, commitment to one another.

Closing the Door on Cyberthreats

As organizations push deeper into the cloud and the IoT edge, the cybersecurity landscape is changing. To keep up, companies must change the way they protect their most valuable assets and infrastructure. The past year has driven that lesson home, as IT teams find themselves managing a myriad of computers outside their protected network to accommodate remote work.

And the proliferation of IoT devices—many of which lack the most basic security protections—vastly broadens the attack surface, creating new risks for organizations. “If a device is compromised, attackers can go from there to the corporate network,” says Alex Ting, senior cybersecurity advisor at MasterSAM, a cybersecurity company, specializing in Privileged Access Management.

Traditional methods such as VPNs and firewalls do not comprehensively address the threats of this scale and magnitude. But new technologies in automation and advanced analytics offer stronger, broader protections, while simplifying management for IT personnel.

The IoT Security Problem

While IoT connectivity is growing by the minute, security has lagged. Devices are programmed with default passwords that often go unchanged. Automated security updates—a standard feature of modern cloud-based software—typically don’t exist, leaving dangerous gaps for hackers to exploit.

To make matters worse, the same default credentials are commonly used for all devices of a particular ilk, and some can be found by searching public databases.

By infecting a large group of devices with malware, an attacker can also direct them to overwhelm a company’s servers, disrupting websites and ecommerce in a botnet attack. That happened with the infamous Mirai botnet in 2016, which corralled hundreds of thousands of internet-connected cameras and routers to shut down sites including GitHub, Twitter, Netflix, and Airbnb.

To guard against these threats, MasterSAM and Intel® jointly developed the Universal Secure Access Management (USAM) X series hardware appliance, making it easier for clients to manage privileged accounts. USAM delivers its cybersecurity products, services, support, and maintenance in a single package. “Now they don’t have to look for hardware or software—they just plug in the box,” Ting says.

The solution automatically creates and securely stores all device passwords, changing them at set durations. It also provides fine-grained access controls.

“Organizations decide who can access a device and require human approval when necessary,” Ting says. “In addition, we can monitor and record user activity to detect suspicious events, such as inappropriate commands or large-scale downloads of sensitive information.”

The @SMasterSam solution enables privileged account management, providing several ways to defend against cybersecurity threats. via @insightdottech

IoT Threats Extend Their Range

As organizations and cities connect more systems to the IoT, attacks could threaten everything from factories to water systems and power grids. “We are seeing an increased convergence of the IT and OT spaces, making it easier for attacks to spread,” says Ting.

For example, at aluminum manufacturer Norsk Hydro, a ransomware attack spread to production lines after an office employee clicked a phishing link. Some operations shut down, and the entire workforce had to do their jobs with pen and paper.

Ransomware, botnets, and other attacks often propagate through software vulnerabilities or outdated operating systems. To help clients keep up with thousands of users and devices, Silverlake uses Intel® Active Management Technology, which allows IT to install security updates and fix device problems remotely. It runs even when a device’s operating system shuts down, allowing technicians to resolve problems without physical intervention or lengthy wait times.

Protecting Privileged Accounts

Attackers don’t have to search for vulnerabilities if they can hack into privileged accounts, which belong to IT administrators and others with access to critical systems and data. Because privileged users have access to many devices and systems, they give hackers an ideal way to spread attacks.

The USAM solution enables privileged account management, providing several ways to defend against these threats, illustrated by the launch experience at a major ASEAN commercial bank.

The bank had 1,500 company resources to manage, including user devices, servers, and network equipment. Providing secure access was an enormous challenge for the small IT and security staff, which managed equipment and device passwords manually. In some cases, a technician had to walk over to users’ computers and log in, without ensuring log-offs or recording sessions. Some passwords were kept in envelopes locked in a safe, causing mass confusion when users made errors or forgot to update them.

The bank implemented USAM to store passwords in a secure online vault and manage them with automated controls to avoid human error and free up staff. Access to sensitive systems is now tied to user and device identity and further controlled with multifactor authentication. Managers can approve or deny access requests with a click, and privileged sessions are remotely monitored and recorded. The bank also added analytics to gather data about privileged activities, such as accessing critical systems.

Adding Controls and Convenience

To further guard clients’ sensitive information, USAM is embedded with Intel® Software Guard Extensions (Intel® SGX), which protects data when it’s being processed in memory – for example, when a person or an IoT device is using a server. It prevents memory dumps and verifies that applications have not been compromised and contain the latest security updates.

MasterSAM continues to seek ways to improve security for its clients, who are increasingly turning to deep-learning technologies to spot evolving threats and improve anomaly detection. “As more organizations adopt cloud infrastructure, they will require more access controls and better analytics,” Ting says. “In the cloud, you need to change constantly to keep up.”

IIoT Starter Kit Gives AR a New Focus

When manufacturers want to adopt digital transformation on the factory floor, they face a myriad of choices around device types, connectivity, and data management platforms. Many IIoT projects begin with a need to gather data from machines not originally designed for connectivity. To do that, operations managers must find the right computing platforms, sensors, and software to collect accurate data for real-time analytics at the edge and the cloud. Finding and integrating the right puzzle pieces is often a challenge.

Once a company has a robust smart factory framework in place, it can deploy innovative technologies at the edge, including artificial intelligence (AI), machine learning (ML), and even augmented reality (AR).

AR is being deployed in new ways on the factory floor for applications such as machine maintenance—speeding up equipment repairs and lowering costs in doing so. For example, local technicians can link with remote experts for live assistance as they make repairs or software upgrades.

For example, if a machine needs repair, a technician can put on AR smart glasses so that a remote expert can also see a broken part. And they can work together in real time, anywhere the mechanic might be—from the next room or across an ocean. The remote expert can overlay text and drawings on the image visible through the glasses, creating a channel for targeted guidance.

And IoT security expert, TeamViewer, is making augmented reality in the smart factory a reality today. (Video 1)

Video 1. TeamViewer allows remote experts to visualize and access assets while technicians on the floor interact with data and receive instructions via AR smart glasses. (Source: TeamViewer)

The @TeamViewer all-in-one IoT Starter Kit gives OT managers and SIs everything they need to begin a secure, successful smart factory deployment. via @insightdottech

AR-Guided Workflows

In one use case, a robot on an automotive factory floor had a fault and needed repair. The expert who could solve the problem was on the other side of the world, but a technician put on AR smart glasses and connected with the remote expert, who viewed the live video stream and had access to a 3-D model or digital twin representing the robot. The technician also had access to the digital twin in the vision of their smart glasses, and the expert could use the model—along with the ability to draw figures and circle problem areas on the live video stream—to highlight the broken part.

In just a few hours, they were able to find the root of the problem, replace the failed part on the robotic arm, and resume manufacturing. The technician wearing the glasses had never performed these tasks, but that didn’t matter because the expert could walk them through every step using both visual and audible guidance.

“In some cases, there might be only a few experts in the world who can help—and using this technology, you don’t have to put them on a plane and send them across an ocean during a pandemic,” says Harold Gibbs, IoT/AR alliances manager at TeamViewer. “Something that might have taken days or weeks to repair can be fixed in a few minutes.”

One-Stop Smart-Factory Solutions

For manufacturers ready to adopt AR and other digital tools, some software and hardware companies are joining forces to simplify the hardware and software puzzle. All-in-one kits such as the TeamViewer IoT Starter Kit give OT managers and systems integrators everything they need—from gateway to sensors and platform—to begin a secure, successful smart-factory deployment. The basic kit includes an Intel® processor-based Lenovo ruggedized IoT gateway and three Bosch SDK sensors preconfigured to connect to the gateway.

While the kit comes with a standard gateway and sensors, other hardware and software elements can be tailored to fit the needs of individual customers. The solution also adapts to different networking needs, addressing a point of concern for manufacturers who are standardized on a particular type of connectivity or in need of a private LTE network.

“A starter kit with basic components makes it much easier for manufacturers to test the waters and think about how they’re going to solve sensor and networking problems,” says Gibbs. “That hands-on experimentation allows developers and systems integrators to create successful smart-factory solutions much more quickly.”

Once the solution is in place, authorized users can access a web-based dashboard from almost any type of device. There they can view data streams from all devices on the network, create alerts, and tailor custom dashboards and analytics tools. Triggered alerts show up on the dashboard and can be programmed to appear as notifications on users’ smartphones as needed. Data transfer is secured to and from every endpoint, using authentication and end-to-end encryption.

All-in-one IoT starter kits compatible with a diversity of sensors and technologies, including AR smart glasses, offer a new and more accessible route to adoption. “Building a solution from scratch requires a great deal of time and expertise, and it’s particularly difficult right now to gather that expertise in person,” says Gibbs. “Having a kit that’s pre-assembled makes it much easier for manufacturers to experiment, solve problems, and get smart-factory deployments off the ground.

“We are constantly optimizing the interoperability of our AR and IIoT solution to cover the whole value chain,” adds TeamViewer Director of IoT Product Management Aditya Adavi. “Our goal is to enable a seamless interaction between humans and machines by leveraging data to decrease room for human errors, increase uptime, and improve the return on investment.”

Healthcare Tech Boosts Patient Well-Being

Telehealth technology usage has surged, helping reduce the risk of spreading COVID-19. While replicating office visits is an effective use of the tools, they also create opportunities for care and research. Patient-friendly solutions use IoT devices to help change how healthcare is delivered. Healthcare providers can remotely monitor and track patients to reduce rehospitalization and emergency visits. And researchers can automate collecting patient data for clinical trials.

“We’ve seen an evolution in how patients engage with care team providers,” says Enrique Estrada, director of strategic solution sales for PRA Health Sciences, a global healthcare intelligence partner. “This has transitioned from the traditional telephony model 20 years ago to using smart devices and mobile applications today. We are still meeting the patients where they are at, but now looking at what levels of engagements make the most sense for them.”

This is where the company’s remote healthcare solution—Care Innovations Health Harmony—comes in.

When patients are deemed good candidates, the healthcare provider or researcher can have monitoring tools shipped to them. The kit includes Bluetooth-connected devices specific to the patient’s clinical program, such as a pulse oximeter, blood pressure monitor, glucometer, or scale. Also included is a tablet preloaded with the Health Harmony app, as well as the patient’s information (Video 1).

https://vimeo.com/447147215/6d3b68e892

Video 1. Innovative healthcare technology helps providers monitor and care for patients who live in remote regions. (Source: Care Innovations)

@PRAHSciences was able to quickly triage and coordinate care of COVID patients before they even knew they were at risk. via @insightdottech

Telehealth Serves the Underserved

One of the strengths of remote healthcare is its ability to reach disadvantaged patients. Health Harmony uses the Intel® Trusted Analytics Platform and an Intel® processor-based computing platform to create predictability models identifying high-risk populations.

The State of Mississippi recently used the solution to monitor diabetic patients.

“Thirteen percent of adults in Mississippi had been diagnosed with diabetes and many more were diagnosed as being prediabetic,” says Estrada. “It was the sixth-leading cause of death in the state.” And with 54% of the population living in rural communities, limited access to healthcare professionals and specialists was one of the biggest challenges.

Because of the dynamics of access to care, the governor challenged the technology sector and Medicaid to come up with a creative solution that could engage patients living with diabetes in rural areas. This led to a valued partnership with Intel®, Care Innovations, and the state to drive a new level of care for their population.

A big barrier was the state’s limited broadband service. Care Innovations worked with the local telecommunications provider to set up cellular connectivity in rural communities, where some of the patients who needed the most care lived. Physicians helped screen candidates, and 100 were enrolled.

Patients are shipped a kit containing a tablet with the Health Harmony application, weight scale, and a glucometer with test strips.

“Once the program was up and running, we saw a dramatic shift in costs,” says Estrada. “Not one patient actively enrolled into the Health Harmony program was readmitted for their underlying conditions. This was amazing on various fronts, from better outcomes to reduced costs to manage chronic conditions across the state.”

“Health costs for diabetic patients are 2.3 times higher than people without diabetes, and 43% of the costs are from hospitalization,” says Estrada. “Mississippi saved more than $339,000 with patients enrolled in the program, and that number could grow to $189 million once 20% of the state’s diabetic population participated.”

Data Analytics Help Diagnose COVID-19

The platform is extensible to meet various changes in workflow and new additions to clinical programs. For example, with the COVID outbreak, Care Innovations was able to quickly extend the platform to new patient services focused on symptoms, CDC guidelines, at-home testing, and clinical surveillance.

“During the peak of the pandemic, some of our customers modified their clinical view to look at key conditions that were symptomatic with COVID,” says Estrada. “They were able to quickly triage and coordinate care of these patients before they even knew they were at risk. This allowed the healthcare provider to manage care, reduce the impact on the healthcare delivery system, and avoid critical situations.”

The Health Harmony tablet dashboard connects to the IoT devices and records daily vital signs. It can be filtered by alerts, conditions, vitals, and highest-risk patients based on a risk algorithm. Clinicians monitor patients and create alerts based on the goal and outcomes of the program.

A Managed Solution

Finding a managed end-to-end telehealth solution allows busy clinicians to focus on patient care. Care Innovations works with clients to identify desired outcomes, assess the population, and help recruit patients. The company also identifies drivers of the program and barriers that need to be addressed.

“Once we understand the goals and outcomes of the program, we create a line of services and technology to support the program,” says Estrada. “This involves our clinical managers actively getting involved in the design of the workflows, associated devices, and care pathways target for remote patient care.”

The company continues to innovate its product and services based on client feedback to deliver the best outcomes, and costs. The future of healthcare technology is all about improving the human experience.

The Best of embedded world 2021

Wondering what went down at embedded world 2021? Wish you could have attended more sessions? Here’s your chance to catch up.

We’ve picked out some of the best sessions and hosted the recordings here for your convenience. We hope you’ll enjoy them as much as we did. And if you are looking for even more insights on the show, check out our podcast Everything AI at embedded world 2021.

Scalability in Tiny Spaces

Need to squeeze big performance into a tiny space? Don’t want to waste engineering hours on basic design? Kontron has you covered with new COM Express and SMARC modules. Featuring the Intel Atom® x6000E series processors and 11th Gen Intel® Core processors, they bring deep learning and high-end graphics to very compact spaces.

See how to scale up performance with tiny compute modules >

Making AI Workloads Play Nice

Running multiple AI workloads gets complicated, fast. Consistent performance is often just a dream, but Real-Time Systems’ new RTS hypervisor is changing that with strong hardware partitioning and Intel® Time Coordinated Computing (Intel® TCC), which isolate workloads from noisy neighbors and provide reliable output with less jitter.

Watch multiple AI workloads share a platform >

Simplify AIoT Development

If you’re looking for a faster way to bring AI to edge devices, Advantech’s platforms might be just what you need. They come with the OpenVINO toolkit, where you can create customized AI apps with way less hassle. Then run them on powerful new hardware!

See how you can kick edge computing into high gear >

Onboard New Hardware in a Hurry

Bringing IoT hardware online can be a pain. AAEON learned it’s easier if you let Intel® Edge Software Hub and the Intel Edge Device Test and Diagnostic Tool (EDTDT) do the heavy lifting. The company says its partners and developers are building apps faster since it started using the software hub, and EDTDT validates solutions for quality and compatibility.

Learn how to onboard edge devices faster >

Merging AI with Functional Safety

Need an edge device that is smart and safe? SECO does both, using Intel OpenVINO to create image recognition and security camera solutions for industrial, medical, and military applications, then pre-certifying them for safety with Intel FuSa. Good idea.

Get the inside scoop on AI for safety-critical environments >

More Capable IPCs

What are the requirements for today’s industrial PCs? Just a small, high-performance device that’s flexible, expandable, easy to use, and maintenance-free. Oh, and it needs to operate at 130 degrees F. To accommodate every last wish, Siemens is developing a new generation of “Swiss army knife” IPCs that can do it all.

See what’s possible with the latest industrial PCs >

Retail Data Puts the “Convenience” in Convenience Stores

Successfully managing convenience stores is anything but convenient when you lack insight into key retail data. Many store owners struggle to accurately track inventory, manage cash flow, and spot pricing errors and signs of theft—especially when they manage multiple locations. And often, their store technology lags that of other industries. When owners open new stores, they typically replicate the same existing IT model, which limits their ability to scale.

Today’s edge-to-cloud technologies can help. Allowing managers to see and solve problems as they occur makes inventory management and scaling easier—increasing productivity and profitability.

Gaining Access to Retail Data

Retailers who have trouble keeping up with operations can gain better control with a management system such as Petrosoft CStoreOffice, a cloud-based solution that allows convenience store owners to stay competitive while managing costs. “We help operators simplify their business by automating a variety of operational procedures and reducing risks,” Petrosoft CEO Sergei Gorloff explains.

CStoreOffice was born of the frustrations Gorloff experienced as an owner of 21 convenience stores. Overseeing them required driving more than 100,000 miles a year. He began to look for technology that could ease the load and keep the company’s overhead at a minimum.

“Given the competitive landscape, it was critical to get retail data as fast as possible, and without any additional workload for store employees, in order to track inventory and adjust prices in a format that was easy for the whole team to understand,” he says. After coming up empty in his search for a solution that would accommodate existing IT systems, he designed his own.

Using service-oriented, cloud-based architecture in its software and Intel® processor-powered computing at the edge, the solution provides a central portal accessible from any device with a browser. This allows store owners to manage operations remotely, minimize errors, provide inventory loss control, streamline procedures, and secure data.

For example, during Hurricane Irma in Florida, one customer had three stores destroyed but was still able to access all its data in the cloud or from a mobile device and take action in real time. “During that very challenging time, one thing they didn’t have to worry about was having visibility into their operations. The information was safe, available, and uninterrupted,” Gorloff says.

“We help operators simplify their business by automating a variety of operational procedures and reducing risks.” @petrosoft_inc via @insightdottech

No two retailers use data in the same way, and CStoreOffice can be customized to each customer’s needs, depending on their business drivers and approach to management. For some, that means relying on basic operational uses, like cash reconciliation or fuel inventory management. Others expand it to include all back-office workflows, integrated point-of-sale technology, and even food service ordering.

“The application allows operators to cherry-pick the solutions that meet their needs. While we have customers that may use 95% of our total functionality, others might use just 5% of the capacity and still benefit from it,” Gorloff says.

Optimizing Inventory with Retail Analytics

The average convenience store carries 6,000 distinct stock keeping units (SKUs), making inventory management challenging. And operators often hold excessive inventory, which hurts cash flow, as their money sits on the shelf rather than working for them in the bank.

Advanced analytics allow stores to optimize inventory levels, easing cash flow worries and boosting profits. For example, one Petrosoft customer lost control over his cash flow during a rapid expansion. “He told me his primary objective was to sleep at night; he worried every day that he lacked sufficient cash in the bank to cover his payroll and bills,” Gorloff says. Within six weeks of installing the system, the customer was able to reduce inventory by 40%. That freed up about $1 million, increasing his cash flow and bank balance.

Petrosoft’s cloud-based architecture also allowed the retailer to implement the solution quickly. Like 90% of customers, he didn’t require on-site help from an IT specialist, Gorloff says. In contrast, a different software vendor said it could take 18 months to achieve full functionality.

New Analytic Capabilities

For the future, Petrosoft is currently developing AI and ML capabilities that will allow stores to offer the personalized promotions and inventory selection today’s customers increasingly expect. “What may fly off the shelves in one neighborhood will be dead inventory elsewhere, so this will allow stores to choose an assortment of goods based on diverse demographics,” says Gorloff.

The pandemic has taught retailers how important it is to provide the right goods at the right time. Gorloff was able to quickly adapt his stores’ inventory as traffic skyrocketed and customer demands changed dramatically.

“Customizing inventory is a game changer. We turned our operation on a dime to adapt to new demand for products such as toilet paper, cleaning supplies, and food,” he says, adding that some of his stores saw a triple-digit increase in sales of those items.

Leveling the Playing Field

CStoreOffice was designed to meet the challenges Gorloff saw in his own operations, and he continues that ethos by hiring industry insiders—former convenience store managers and regional supervisors—who can bring real-world experience to train and support customers.

“With Petrosoft, I can continue to successfully oversee my convenience store operations while also running a corporation,” Gorloff says. “What used to be labor-intensive, routine work is now much more creative and rewarding.”

AI Robots Cut the Cord on the Warehouse Floor

Online shopping has been on a steep growth curve for years, but the COVID-19 pandemic radically accelerated that growth. In 2020 ecommerce sales grew 44% over 2019. And while retail warehouse operations have been highly automated, the demand for autonomous mobile robots (AMRs) and autonomous guided vehicles (AGVs) is also on the rise.

AMRs and AGVs operate around the clock, performing hazardous activities and repetitive tasks previously done by human workers. Online retail will continue to grow, driving the need for more intelligent and powerful AMRs.

To meet these new demands, a European mobile robot manufacturer worked with industrial computer manufacturer DFI, Inc. to develop a next-gen, lithium-ion-powered AMR capable of:

  • Carrying loads of up to 1,000 kilograms
  • Operating for 8 to 10 hours or traveling up to 20 kilometers on a single charge
  • Traveling at speeds of up to two meters per second

These features were designed into a compact system that helped improve productivity and efficiency without having to make structural changes to the customer facility like adding wires to the floor or sensors in the walls or ceiling.

How? Through the use of an advanced vision system driven by a powerful-yet-power-efficient platform controller.

Through the Lens of Machine Vision

Today’s warehouse and distribution center AMRs and AGVs require technologies that enable operation without external cables or floor sensors. This starts with machine vision and navigation.

As shown in Figure 1, imaging systems on modern AMRs often consist of a stereo camera setup that produces real-time video feeds of the surrounding environment. Some level of preprocessing is then performed on the two image streams to produce a disparity map that calculates the location and depth of objects in the physical space. Afterward, mathematical mapping algorithms (like random sample consensus [RANSAC]) are applied to reconstruct a 3D map of the environment, which is used for path planning/navigation, obstacle recognition, avoidance, etc.

How images are preprocessed for mapping and odometry.
Figure 1. Modern autonomous mobile robots (AMRs) are equipped with sophisticated vision systems. (Source: DFI)

The outcomes produced by this vision system are tightly integrated with the rest of the AMR/AGV platform. They are used to inform the platform’s primary control of when and how to manipulate the motors and actuators responsible for acceleration/deceleration, steering, and so on. This information can also be transmitted off-device for use cases that include remote control over a wireless interface, data monitoring and predictive maintenance, path planning model refinement, and the like.

In short, a modern AMR’s embedded PC must be able to perform complex image and video processing tasks, execute mapping algorithms, and perform real-time control functions, all while staying within a power budget that enables extended range and battery life.

A modern AMR’s embedded PC must be able to perform complex image and video processing tasks, execute mapping algorithms, and perform real-time control functions, all while staying within a power budget that enables extended range and battery life. @DFI_Embedded via @insightdottech

Embedded PC Power, Performance, and Reliability

When embarking on the AMR project, the mobile robot manufacturer considered multiple options for the central platform control hub design. It needed a controller that supported high reliability and a long lifecycle, multiple sensor interfaces, including uncommon industrial ones like RS-422, and zero performance loss in the face of high vibration and signal interference.

The manufacturer considered the Intel® NUC for its performance and compact design. But in the end, it selected the industry-hardened and I/O-rich DFI EC70A-SU/KU series fanless embedded system (Figure 2).

Controller chassis size compared to 2 mobile phones
Figure 2. With dimensions of 181.6 x 118.4 x57 mm, the EC70A-SU’s size can easily be compared to mobile phones. (Source: DFI)

“We based the EC70A series on 6th and 7th generation Intel® Core processors, which allow our controllers to deliver performance increases of more than 50% compared to previous generations,” says Waterball Liu, Marketing Manager at DFI.

Multiple CPU cores, an integrated Intel® HD Graphics 520 core, and new media capabilities of the Core processors effectively:

  • Manage an array of 2D and 3D cameras and scanners
  • Execute the imaging, neural network, and mapping workloads required for vision and navigation
  • Facilitate the control tasks needed for steering
  • Run the AMR’s primary operating system

Meanwhile, the power efficiency of the processors—which feature a thermal design power (TDP) of as little as 15 W configurable down to 7.5 W—also has significant design advantages that benefit system size and reliability.

“The low power consumption has a direct impact on battery life, but it also means that less heat needs to be dissipated from the platform,” says Liu. “And the box is up to 70% smaller than traditional IPCs, while still able to operate over a wide -20ºC to 60ºC temperature range.”

Off-the-Shelf Lowers Cost

Perhaps one of the best characteristics of the EC70A series is that the systems are ready-made. This means that AMR end users like DFI’s European customer benefit from per-unit costs that come with larger-scale production while also being able to focus on adding value to the platform via software, services, and mechanisms other than the underlying hardware.

But that’s not to say it doesn’t enable the flexibility or cutting-edge capabilities of a custom design. On the contrary, in addition to ample industrial connectivity like RS-232, RS-422, RS-485, the platform offers Bluetooth, Wi-Fi, and 5G wireless via two Mini PCIe sockets. As it turns out, DFI’s European customer is leveraging Wi-Fi chipsets in those sockets to remotely control the robots using a smartphone or tablet.

Who knew so much innovation was available off-the-shelf?

AI Opens the Door to Smart Vending Machines

If you want to grab a snack and go, the convenience of a vending machine is hard to beat. But today’s shoppers want more. They prefer fresh food, like salads, cheese, and yogurt, which aren’t usually sold in traditional machines. And maybe an occasional cookie—but only if the calorie and sugar count is acceptable. If it’s locked inside a vending machine, who knows?

Retail businesses are frustrated, too. They don’t have a good idea of what’s selling and what’s not, and they often don’t spot problems until it’s too late. Today, a new generation of smart vending machine systems is helping to solve these problems, offering customers a more convenient shopping experience, while providing better information and new opportunities for retailers and brands.

Technology developed by Shekel Brainweigh, a retail technology innovator, allows customers to open the door of its innovative, intelligent vending machine and inspect products before they buy. And real-time information about their interactions and purchases can be sent to machine operators and retailers. Shekel partnered with refrigerated-products manufacturer Imbera Cooling and vending machine management company Parlevel Systems to deliver its smart-cooler solution called hubz.

For shoppers, the hubz experience is radically different from using a traditional vending machine.

Point-of-Sale “Home Fridge”

“With a traditional machine, you press F6 and you get one product. With our machine, you open the door and take as many products as you want,” says Eliran Vaknin, Head of Product for Shekel Brainweigh Retail Innovation Division. “You can look at the expiration date, read the nutritional information, and put something back if you don’t want it. It’s like using your fridge at home.”

Except to get into this fridge, you need a credit card, debit card, an app such as Apple Pay, Google Pay, or a brand loyalty mobile app. “That will identify you, and after that, you cannot take anything from the shelf without us tracking it,” Vaknin says.

Shekel uses two tracking technologies. The first is its secret sauce—a custom IoT load sensor that accurately identifies products by their weight. “Shekel is a 50-year-old company with expertise in weighing solutions,” explains Rami Behar, the company’s Chief Business Development Officer.

The second technology uses AI-embedded software algorithms to track the exact location of products as they travel from the shelf to the customer’s hand and out the glass door—or back onto the shelf if the customer changes their mind (Video 1).

Video 1. The hubz smart vending cooler uses AI-enabled sensors to identify and monitor products. (Source: Shekel Brainweigh)

For retailers, giving customers better choices and allowing multiple-item transactions boosts profits. Fresh food also sells at higher prices, and consumers are more likely to buy it if they can inspect it first.

“On average, hubz coolers double the sales of standard vending machines that were in the same place,” Behar says.

Receiving up-to-the-minute information about transactions and customer preferences allows retailers to better predict sales and understand trends. @ShekelLtd via @insightdottech

Improving Operations with Retail Analytics

Streaming data gives retailers and machine operators better control over inventory management. With hubz, an Intel® NUC small form-factor PC is embedded in the cooler, then processes and sends data about a product’s journey from the time a customer picks it up until it is purchased or replaced.

A second Intel® processor-based computer relays information about inventory and transactions, including customer conversion rates. It also alerts operators if the cooler’s temperature is off or the door is left ajar—problems they can fix remotely.

Receiving up-to-the-minute information about transactions and customer preferences allows retailers to better predict sales and understand trends. They can test new products, rearrange  planograms, and do shelf placements on the fly, instead of basing decisions on information delivered weekly by technicians. Those who use an app for transactions can also offer customers on-the-spot targeted promotions.

AI Technology Helps Brands

Retailers aren’t the only ones who profit from insights about customer behavior.

“This is very valuable information for consumer packaged-goods (CPG) companies,” Behar says. The ability to sell products 24/7 without incurring labor costs or dealing with intermediaries is a huge draw for manufacturers.

These advantages—and the elimination of the soft-food-squashing mechanical arms found in traditional vending machines—tipped the scales for Israeli dairy producer Tnuva. It decided to try selling its milk, cheese, yogurt, and other dairy products directly to consumers for the first time, using Shekel’s smart cooler.

When a trial of 40 coolers proved successful, Tnuva began rolling out 100 more, placing them in office buildings, fitness centers, train stations, hospitals, and other high-traffic public locations. What they learned surprised them.

“It was totally different from the regular vending machine experience,” Vaknin says. “Peak sales were not at snack times, but at 5 or 6 p.m., when people were finishing up work and decided to collect some milk and cheese for the evening meal. Usually, they bought two or three products. It was like a replacement for a local convenience store.”

Tnuva smart coolers now handle tens of thousands of transactions per month. Streaming data is sent to a central cloud-based dashboard, where it is analyzed to reveal trends. Centralized control also simplifies management and makes scaling easier.

Like its customers, Shekel continues to learn from the information collected by its machines.

“We are gaining lots of data over time from every purchase and every customer trial. That helps us keep improving our algorithm technology,” says Vaknin. “This is the future of convenience shopping.”

 

This article was edited by Christina Cardoza, Associate Editorial Director for insight.tech.

This article was originally published on March 22, 2021.