Samsung SmartThings update introduces elderly care monitoring through ambient sensing and artificial intelligence.

      In summary, Samsung has enhanced SmartThings with family care features that utilize connected appliances and wearables to remotely monitor elderly family members. This includes fall detection through a robot vacuum's camera, screening for cognitive decline via behavioral pattern analysis, environmental safety alerts, and tracking daily activities. The update transforms Samsung’s smart home system into a remote care solution, leveraging data from devices like refrigerators, air conditioners, robot vacuums, and wearables to assess the safety of individuals at home.

      These features are being introduced as part of Samsung's broader SmartThings strategy for 2026, which also includes AI-powered routine creation, ambient sensing with millimeter-wave radar, support for Matter cameras, and tools for energy management. However, the family care features represent the most significant enhancement, as they reposition the smart home from simply being a convenience to serving as a health and safety infrastructure.

      Details of the care features include:

      - Care on Call, which provides a pop-up before phone calls with monitored family members, displaying their first and most recent activities, step counts, and local weather conditions, giving caregivers context for the conversation based on collected data from SmartThings devices and Galaxy wearables.

      - Reassurance Patrol employs Samsung’s Bespoke AI Steam Ultra robot vacuum for mobile monitoring. If no activity is detected within a specified timeframe, alerts are sent. Its camera can identify if someone is on the floor, and it allows two-way communication via its speaker and microphone for remote check-ins. The vacuum can also be controlled remotely, serving both cleaning and surveillance purposes.

      - Care Insight assesses environmental conditions by monitoring temperature and humidity from connected appliances and alerts caregivers if levels are unsafe. It also observes usage patterns of connected devices and activity levels, signaling notable changes that may indicate health issues.

      - The cognitive decline detection feature aims to analyze lifestyle patterns using mobile and wearable devices to monitor factors like speech, typing, walking, sleep, and gait, alerting designated caregivers to early signs of cognitive issues.

      These care features are underpinned by Samsung’s ambient sensing technology, which incorporates millimeter-wave radar and sound sensors in devices such as TVs and refrigerators, allowing activity detection without relying heavily on cameras. Samsung emphasizes that sensor data is processed and stored locally on the SmartThings hub, protecting privacy by avoiding cloud storage. However, alerts for caregiving will still share necessary information with chosen family members.

      Map View, SmartThings' spatial interface, is also being improved with generative AI. Users can take photographs of their spaces to create accurate floor plans, while the system employs furniture placement data alongside ambient sensing to interpret contexts, like whether a person is in bed, at a table, or on the floor.

      Samsung enjoys a scale advantage, with over 500 million users on the SmartThings platform, and its appliance ecosystem facilitates the necessary hardware for the care features. The integrated appliances generate sufficient behavioral and environmental data to construct a detailed depiction of daily life.

      The company is also focusing on interoperability by being the first major smart home platform to support Matter-compatible cameras as a full device category, collaborating with partners like Aqara, Eve, and Xthings. The new SmartThings hub combines Thread, Zigbee 3.0, Wi-Fi 6E, Bluetooth 5.3, and Matter control, while also functioning as a 15-watt Qi2 wireless charger for Galaxy phones. This open ecosystem allows the care features to potentially extend to any Matter-compatible device.

      The integration of Galaxy AI allows SmartThings to learn routines automatically using data from Galaxy phones, and a Routine Creation Assistant powered by large language models helps users formulate automations through natural language commands. These automations can be linked to the care system; for instance, a routine that detects when a light has not been turned on by a particular time can initiate a check-in alert.

      This initiative raises important questions regarding remote monitoring of elderly relatives, which presents both genuine demand and ethical complexities. While the features address real concerns for adult children worried about aging parents living far away, they also create an environment for surveillance within the home, managed by family members who may not always know when monitoring becomes intrusive.

      Samsung states that the system is opt-in and requires consent from the monitored individual. However, in family care scenarios, consent is often more complicated than a simple checkbox implies. An elderly parent experiencing cognitive decline may feel obligated to accept monitoring from well-intended children and may not fully comprehend the extent of what the system can observe.

      The cognitive decline detection feature invites further scrutiny, as clinical cognitive assessments depend on rigorously controlled conditions and professional expertise. Samsung’s system uses behavioral indicators correlated with cognitive decline, but the accuracy, likelihood of false positives, and clinical validity of this consumer-based screening have not been publicly revealed. A false positive could lead to unnecessary panic, while a false negative might provide unwarranted relief.

      These concerns are not exclusive to Samsung. Other tech giants like Apple, Google, and Amazon are also incorporating health and care features into their ecosystems, presenting similar ethical dilem