Samsung SmartThings update adds elderly care monitoring with ambient sensing and AI


In short: Samsung has updated SmartThings with family care features that use connected appliances and wearables to monitor elderly relatives remotely, including fall detection via robot vacuum camera, cognitive decline screening through behavioural pattern analysis, environmental safety alerts, and activity tracking. The update also adds Galaxy AI-powered routine creation, millimetre-wave ambient sensing with local processing, and Matter camera support across the 500-million-user SmartThings platform.

Samsung has updated SmartThings with a set of family care features that use its connected appliance ecosystem to monitor elderly relatives, detect falls, track cognitive decline, and alert caregivers when something seems wrong. The update turns Samsung’s smart home platform into something closer to a remote care system, using the data that refrigerators, air conditioners, robot vacuums, and wearables already collect to build a picture of whether someone is safe at home.

The features are rolling out alongside Samsung’s broader SmartThings strategy for 2026, which includes Galaxy AI-powered routine creation, ambient sensing through millimetre-wave radar, Matter camera support, and energy management tools. But the family care capabilities are the most consequential addition, because they reframe the smart home not as a convenience product but as a health and safety infrastructure.

What the care features do

Care on Call displays a pop-up before a phone call with a family member who is being monitored, showing their first activity of the day, most recent activity, step count, and local weather. It is a simple feature, but it gives a caregiver immediate context before a conversation: did they get out of bed? Have they been moving? The data comes from SmartThings-connected devices and Galaxy wearables.

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Reassurance Patrol uses Samsung’s 2026 Bespoke AI Steam Ultra robot vacuum as a mobile monitoring platform. If no activity is detected in the home for a set period, the vacuum sends an alert. Its built-in camera can detect a person lying on the floor, and it supports two-way conversation through its speaker and microphone, letting a family member check in remotely. The vacuum can be activated from a distance, turning a cleaning appliance into an on-demand surveillance and communication device.

Care Insight analyses temperature and humidity from connected appliances, air conditioners, purifiers, and humidifiers, and alerts caregivers if environmental conditions fall outside safe ranges. It also tracks patterns in connected device usage and activity levels, flagging significant changes compared to the previous week. A sudden drop in refrigerator door openings or a change in daily movement patterns can indicate a health problem before it becomes an emergency.

The most ambitious feature is cognitive decline detection. Samsung says SmartThings can analyse lifestyle patterns through mobile and wearable devices, monitoring speech, typing, walking, sleep, and gait to identify early signs of cognitive deterioration. When changes are detected, alerts are sent to designated caregivers. The feature draws on the kind of longitudinal behavioural data that clinical researchers have long identified as potentially predictive of conditions like dementia, but which has been difficult to collect outside controlled studies.

The ambient sensing layer

Underpinning the care features is Samsung’s ambient sensing technology, which uses millimetre-wave radar combined with sound sensors embedded in Samsung TVs, refrigerators, and other appliances. The system can detect different activities, distinguishing between someone exercising, sleeping, working at a desk, or simply moving through a room, without using cameras in most cases.

Samsung says all sensor data is processed and stored locally on the SmartThings hub, not in the cloud, a privacy architecture that addresses the most obvious objection to putting radar sensors in someone’s living room. The local processing approach means the system can build a detailed picture of household activity patterns without transmitting that data to Samsung’s servers, though the care alert features necessarily involve sharing some information with designated family members.

Map View, SmartThings’ spatial interface, is also being enhanced with generative AI. Users can photograph their rooms to create more accurate floor plans, and the system uses furniture location data alongside ambient sensing to understand context: whether someone is in bed, at a table, or on the floor.

The platform play

Samsung’s advantage in this category is scale. SmartThings has more than 500 million users, and Samsung’s appliance ecosystem means that many households already have the hardware infrastructure the care features require. A Samsung refrigerator, washing machine, air conditioner, TV, robot vacuum, and Galaxy Watch, taken together, generate enough behavioural and environmental data to construct a reasonably detailed model of daily life.

The company is also pushing interoperability. SmartThings is the first major smart home platform to support Matter-compatible cameras as a full device category, working with partners including Aqara, Eve, and Xthings. The new SmartThings hub integrates Thread, Zigbee 3.0, Wi-Fi 6E, Bluetooth 5.3, and Matter control, and doubles as a 15-watt Qi2 wireless charger for Galaxy phones. The open ecosystem approach means the care features can, in principle, extend beyond Samsung hardware to any Matter-compatible device.

Galaxy AI integration adds another layer. SmartThings now learns routines automatically using sensor data from Galaxy phones, and a Routine Creation Assistant powered by large language models lets users build automations with natural-language commands. These automations feed into the care system: a routine that detects when a family member has not turned on a light by their usual time can trigger a check-in alert.

The questions it raises

Remote monitoring of elderly relatives is a category with genuine demand and genuine ethical complexity. The features Samsung is building address a real problem: adult children who live far from ageing parents and worry about their safety. But they also create a surveillance infrastructure inside someone’s home, operated by family members who may have good intentions but imperfect judgment about when monitoring crosses into intrusion.

Samsung says the system is opt-in, and the person being monitored must consent. But consent in family care situations is rarely as clean as a checkbox suggests. An elderly parent who is beginning to experience cognitive decline may feel pressured to accept monitoring by well-meaning children, and may not fully understand what the system can see, hear, and infer about their daily life.

The cognitive decline detection feature raises particular questions. Clinical-grade cognitive assessment requires controlled conditions, validated instruments, and medical expertise. Samsung’s system uses passive behavioural signals, changes in gait, typing speed, sleep patterns, and speech, that research has correlated with cognitive decline, but the accuracy, false positive rate, and clinical validity of a consumer device performing this kind of screening have not been publicly disclosed. A false positive could cause unnecessary alarm; a false negative could provide false reassurance.

None of these concerns are unique to Samsung. Apple, Google, and Amazon are all building health and care features into their device ecosystems, and the same ethical questions apply to all of them. Samsung’s advantage is that its appliance ecosystem gives it more touchpoints inside the home than any phone or speaker-based platform can offer. Whether that advantage translates into better care or just more comprehensive surveillance depends on how thoughtfully the features are designed and how honestly the limitations are communicated to the families who use them.

The elder care features are expected to roll out alongside the Galaxy S26 launch later in 2026. SmartThings Pro, a separate offering for HVAC professionals, and energy management upgrades are available now. Samsung has not disclosed pricing for the care features or whether they will require a subscription beyond existing SmartThings plans.



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Recent Reviews


As I’m writing this, NVIDIA is the largest company in the world, with a market cap exceeding $4 trillion. Team Green is now the leader among the Magnificent Seven of the tech world, having surpassed them all in just a few short years.

The company has managed to reach these incredible heights with smart planning and by making the right moves for decades, the latest being the decision to sell shovels during the AI gold rush. Considering the current hardware landscape, there’s simply no reason for NVIDIA to rush a new gaming GPU generation for at least a few years. Here’s why.

Scarcity has become the new normal

Not even Nvidia is powerful enough to overcome market constraints

Global memory shortages have been a reality since late 2025, and they aren’t just affecting RAM and storage manufacturers. Rather, this impacts every company making any product that contains memory or storage—including graphics cards.

Since NVIDIA sells GPU and memory bundles to its partners, which they then solder onto PCBs and add cooling to create full-blown graphics cards, this means that NVIDIA doesn’t just have to battle other tech giants to secure a chunk of TSMC’s limited production capacity to produce its GPU chips. It also has to procure massive amounts of GPU memory, which has never been harder or more expensive to obtain.

While a company as large as NVIDIA certainly has long-term contracts that guarantee stable memory prices, those contracts aren’t going to last forever. The company has likely had to sign new ones, considering the GPU price surge that began at the beginning of 2026, with gaming graphics cards still being overpriced.

With GPU memory costing more than ever, NVIDIA has little reason to rush a new gaming GPU generation, because its gaming earnings are just a drop in the bucket compared to its total earnings.

NVIDIA is an AI company now

Gaming GPUs are taking a back seat

A graph showing NVIDIA revenue breakdown in the last few years. Credit: appeconomyinsights.com

NVIDIA’s gaming division had been its golden goose for decades, but come 2022, the company’s data center and AI division’s revenue started to balloon dramatically. By the beginning of fiscal year 2023, data center and AI revenue had surpassed that of the gaming division.

In fiscal year 2026 (which began on July 1, 2025, and ends on June 30, 2026), NVIDIA’s gaming revenue has contributed less than 8% of the company’s total earnings so far. On the other hand, the data center division has made almost 90% of NVIDIA’s total revenue in fiscal year 2026. What I’m trying to say is that NVIDIA is no longer a gaming company—it’s all about AI now.

Considering that we’re in the middle of the biggest memory shortage in history, and that its AI GPUs rake in almost ten times the revenue of gaming GPUs, there’s little reason for NVIDIA to funnel exorbitantly priced memory toward gaming GPUs. It’s much more profitable to put every memory chip they can get their hands on into AI GPU racks and continue receiving mountains of cash by selling them to AI behemoths.

The RTX 50 Super GPUs might never get released

A sign of times to come

NVIDIA’s RTX 50 Super series was supposed to increase memory capacity of its most popular gaming GPUs. The 16GB RTX 5080 was to be superseded by a 24GB RTX 5080 Super; the same fate would await the 16GB RTX 5070 Ti, while the 18GB RTX 5070 Super was to replace its 12GB non-Super sibling. But according to recent reports, NVIDIA has put it on ice.

The RTX 50 Super launch had been slated for this year’s CES in January, but after missing the show, it now looks like NVIDIA has delayed the lineup indefinitely. According to a recent report, NVIDIA doesn’t plan to launch a single new gaming GPU in 2026. Worse still, the RTX 60 series, which had been expected to debut sometime in 2027, has also been delayed.

A report by The Information (via Tom’s Hardware) states that NVIDIA had finalized the design and specs of its RTX 50 Super refresh, but the RAM-pocalypse threw a wrench into the works, forcing the company to “deprioritize RTX 50 Super production.” In other words, it’s exactly what I said a few paragraphs ago: selling enterprise GPU racks to AI companies is far more lucrative than selling comparatively cheaper GPUs to gamers, especially now that memory prices have been skyrocketing.

Before putting the RTX 50 series on ice, NVIDIA had already slashed its gaming GPU supply by about a fifth and started prioritizing models with less VRAM, like the 8GB versions of the RTX 5060 and RTX 5060 Ti, so this news isn’t that surprising.

So when can we expect RTX 60 GPUs?

Late 2028-ish?

A GPU with a pile of money around it. Credit: Lucas Gouveia / How-To Geek

The good news is that the RTX 60 series is definitely in the pipeline, and we will see it sooner or later. The bad news is that its release date is up in the air, and it’s best not to even think about pricing. The word on the street around CES 2026 was that NVIDIA would release the RTX 60 series in mid-2027, give or take a few months. But as of this writing, it’s increasingly likely we won’t see RTX 60 GPUs until 2028.

If you’ve been following the discussion around memory shortages, this won’t be surprising. In late 2025, the prognosis was that we wouldn’t see the end of the RAM-pocalypse until 2027, maybe 2028. But a recent statement by SK Hynix chairman (the company is one of the world’s three largest memory manufacturers) warns that the global memory shortage may last well into 2030.

If that turns out to be true, and if the global AI data center boom doesn’t slow down in the next few years, I wouldn’t be surprised if NVIDIA delays the RTX 60 GPUs as long as possible. There’s a good chance we won’t see them until the second half of 2028, and I wouldn’t be surprised if they miss that window as well if memory supply doesn’t recover by then. Data center GPUs are simply too profitable for NVIDIA to reserve a meaningful portion of memory for gaming graphics cards as long as shortages persist.


At least current-gen gaming GPUs are still a great option for any PC gamer

If there is a silver lining here, it is that current-gen gaming GPUs (NVIDIA RTX 50 and AMD Radeon RX 90) are still more than powerful enough for any current AAA title. Considering that Sony is reportedly delaying the PlayStation 6 and that global PC shipments are projected to see a sharp, double-digit decline in 2026, game developers have little incentive to push requirements beyond what current hardware can handle.

DLSS 5, on the other hand, may be the future of gaming, but no one likes it, and it will take a few years (and likely the arrival of the RTX 60 lineup) for it to mature and become usable on anything that’s not a heckin’ RTX 5090.

If you’re open to buying used GPUs, even last-gen gaming graphics cards offer tons of performance and are able to rein in any AAA game you throw at them. While we likely won’t get a new gaming GPU from NVIDIA for at least a few years, at least the ones we’ve got are great today and will continue to chew through any game for the foreseeable future.



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