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vivo’s self-developed AI glasses
Introduction

In the 2026 consumer electronics landscape, lightweight AI smart glasses have emerged as the next major gateway for smartphone manufacturers. With the official debut of Samsung Galaxy Glasses and Meta’s continued iteration of Ray-Ban smart glasses, domestic manufacturers are also accelerating their entry into the market. Developed through multiple rounds of design refinement and powered by the OriginOS comprehensive AI ecosystem, the vivo AI Smart Glasses break away from the traditional AR headset focus on massive displays. Instead, they adopt the path of “audio-centric AI glasses suitable for daily wear,” bringing the Blue Heart (Lanxin) Small V multimodal large model to a wearable device.
Unlike the vivo Vision Explorer Edition—an MR headset designed for immersive audiovisual experiences—these AI glasses target common scenarios such as commuting, business, and travel. Following a week of real-world daily testing, this article provides a comprehensive review of the product experience, covering design and comfort, hardware capabilities, AI interaction, ecosystem integration, and pros and cons.

vivo

I. Design and Comfort: Aiming for the Look of “Ordinary Glasses”

The vivo AI glasses utilize a lightweight, screen-free design weighing approximately 56g. The goal is to minimize the “tech-heavy” feel typical of smart hardware, making them suitable for all-day wear.
The frames are available in two versions: a classic black optical style and an outdoor sunglass style. The temples feature a slender profile with only a subtle brand logo on the exterior, visually resembling trendy everyday eyewear rather than a bulky or obtrusive piece of tech.
- Acoustics and Audio Pickup Hardware: The temples house a combination of directional bone conduction and open-ear speakers; sound is transmitted directionally to ensure privacy and minimize leakage. Dual beamforming MEMS microphone arrays are embedded in the left and right temples for voice pickup, supporting AI noise cancellation in noisy environments.
- Control Layout: A touch-sensitive area is integrated into the right temple, supporting single taps, swipes, and long presses to wake the AI, take photos, switch audio tracks, and answer or end calls. A micro-camera is built into the temple, enabling first-person perspective image capture. – Battery & Power: The glasses feature a built-in lithium battery, offering 7 hours of continuous AI interaction on a single charge; a portable charging case is included, supporting multiple recharges via a universal Type-C port.
- Prescription-Friendly: Official support for replacing standard lenses with prescription ones (accommodating up to -10.00 diopters), addressing a key pain point for many tech enthusiasts.
Real-world usage experience: After two hours of continuous wear, pressure on the bridge of the nose remains manageable; the open-ear audio offers decent clarity during subway commutes or in coffee shops, though voice recognition capabilities face limitations in extremely noisy urban environments.

II. Core Experience: Hardware as a Vehicle, Blue Heart AI as the Core Competitiveness

Most AI glasses currently on the market are limited to taking photos, voice Q&A, and basic translation, resulting in fragmented functionality. vivo’s key differentiator lies in its integration with the OriginOS ecosystem and the deep embedding of the on-device “Blue Heart” (Lanxin) AI model, enabling AI collaboration across smartphones, smartwatches, and the glasses themselves.

1. Multimodal Visual AI: “What You See Is What You Get”

Leveraging the camera embedded in the temple, the glasses recognize scenes in real-time and analyze them using the Blue Heart AI model:
- Real-world text recognition: Automatically recognizes road signs, menus, and presentation slides/whiteboards, reads them aloud, and syncs text summaries to the phone’s notes app with a single tap;
- Real-time multilingual translation: Supports real-world translation and simultaneous interpretation for conversations across Chinese, English, Japanese, and Korean—highly practical for international travel and business communication;
- Intelligent recognition of objects and landmarks, with relevant information provided via voice output.
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Usage Note: The camera requires a voice command to activate; it does not capture video continuously by default, prioritizing user privacy by avoiding constant visual monitoring.

2. Hands-Free AI Assistant

Simply say “Xiao V, Xiao V” to start a conversation without needing to take out your phone:
- Check schedules, listen to navigation prompts, check the weather, and set reminders;
- Smart message summaries: Automatically extracts key information from long WeChat messages or SMS texts and reads them aloud;
- Issue commands while commuting: Create to-do items, set alarms, check traffic conditions, and control smart home devices. ### 3. Cross-Device Ecosystem Integration (Exclusive Advantage for vivo Users)
This creates a competitive barrier that third-party, off-the-shelf AI glasses struggle to match:
1. Seamless pairing with vivo/iQOO smartphones; the phone’s processing power supplements the glasses’, enabling cloud-plus-device collaboration for complex AI tasks;
2. Data interoperability with vivo smartwatches and earbuds; synchronization of navigation and incoming call notifications across multiple devices;
3. Support for OriginOS “Flow” features: first-person photos and audio meeting notes captured by the glasses automatically sync to the phone’s photo gallery and notes app;
4. Enhanced calling capabilities: incoming call announcements directly via the glasses, plus support for AI-assisted call answering and real-time call summarization.
4. Audio-Visuals and Calling

The open-ear speakers are suitable for everyday music, podcasts, and calls; however, they cannot replace TWS earbuds if you seek immersive, noise-canceling audio. They are better suited for commuting or outdoor scenarios where you want to remain aware of your surroundings without blocking your ears.
Call performance: In outdoor and in-car environments, AI noise reduction effectively suppresses wind and traffic noise, ensuring clear voice quality for the person on the other end.

III. Summary of Key Advantages

✅ Everyday-friendly design with support for prescription lenses, making it truly suitable for all-day wear and eliminating the awkwardness of only wearing them for specific “demo” outings;
✅ Full capabilities of the BlueLM (Blue Heart) large model; goes beyond simple voice commands to support long-text Q&A, content summarization, and logical conversational interaction;
✅ Deep integration with the vivo ecosystem; for vivo phone users, the collaborative experience is far superior to that of generic AI glasses;
✅ Restrained privacy design; the camera does not activate automatically or continuously, requiring a deliberate user command to engage;
✅ Open-ear audio design; allows for environmental awareness while walking or cycling, enhancing safety;
✅ Intuitive touch controls; easy to learn, allowing even older users to get up to speed quickly. ## IV. Objective Limitations: A Rational Perspective

❌ No onboard display screen: All information relies on audio announcements; users cannot visually check text or navigation routes, creating a heavy reliance on hearing;
❌ Limited standalone processing power: Many advanced multimodal AI features are restricted when disconnected from a vivo phone;
❌ Battery life drops significantly when visual recognition features (such as photography or real-time AR translation) are continuously active;
❌ Open-ear speakers suffer from slight sound leakage, compromising privacy in quiet environments like meeting rooms;
❌ Ecosystem benefits favor vivo phone users; connectivity with iPhones or phones from other brands results in the loss of many cross-device integration features;
❌ Lacks visual HUD information found in high-end AR glasses with optical waveguides, making it difficult to meet the demands of heavy-duty productivity or office work.

V. Target Audience: Who Should Buy? Who Should Skip?

Recommended for
1. Long-term vivo/iQOO phone users seeking a complete cross-device AI ecosystem;
2. Frequent commuters, short-trip business travelers, or overseas travelers needing real-time translation, quick note-taking, and voice navigation;
3. Users with busy hands (field sales, store reviewers, outdoor workers) who want a hands-free AI assistant;
4. Myopic users looking for glasses that blend daily style with smart functionality.
Not Recommended for
1. Users of Apple or other brands who cannot access the full ecosystem integration;
2. Users expecting a floating screen or a massive mobile cinema experience (such needs are better met by MR headsets like the vivo Vision Explorer Edition);
3. Users requiring ultra-private calls or serious audiophiles;
4. Users on a tight budget who simply want an audio device for listening to music.
VI. Conclusion

The current AI glasses market is clearly diverging: one path involves AR devices equipped with optical waveguides and Micro-OLED screens, focusing on spatial viewing and mobile productivity; the other path—represented by vivo’s AI glasses—focuses on lightweight audio-based AI glasses designed to address the frequent, quick, and varied needs of everyday life. Instead of simply piling on display hardware, vivo has chosen to leverage the strengths of its mobile operating system and “BlueLM” (Blue Heart AI), positioning the product as a “portable AI co-pilot.” It is not a world-changing spatial computing device; rather, it extends the capabilities of large AI models from the confines of a smartphone screen into your real-world field of view.

For users within the vivo ecosystem who value on-the-go AI translation, first-person recording, and hands-free voice assistance, this product offers irreplaceable synergistic value. However, if you are expecting the kind of sci-fi experience where virtual displays pop up right before your eyes, it will not currently live up to those expectations.

The next phase of competition in smart wearables is no longer about hardware specifications like camera or speaker capabilities. Hardware serves as the entry point, but large AI models and cross-device ecosystems constitute the core “moat” that sets products apart. The vivo AI glasses represent vivo’s definitive answer in this arena.
2026-07-27
Ant Afu AI Smart Body Fat Scale
For a long time, standard body fat scales have suffered from homogenization: while the hardware measures a host of metrics, the accompanying apps merely list raw numbers that the average user struggles to interpret. Consequently, these devices often end up as mere ornaments used only for a quick daily weight check. However, the deep integration of large AI models with smart hardware is redefining the value of health devices. The Ant Afu AI Smart Body Fat Scale A1—a product that has recently taken the market by storm—breaks away from the hardware-only race. It employs an integrated hardware-software solution combining “four-electrode body fat sensing hardware” with the “Afu AI health model” to address the biggest pain points for the general public: understanding the data and obtaining actionable plans. After a week of continuous testing, we provide a comprehensive breakdown of the real-world experience, strengths, and limitations of this standout smart device.

AI Smart Body Fat Scale

I. Hardware Design and Build: A Practical Home-Use Device

Manufactured by iHealth (Voletti), the Ant Afu body fat scale utilizes the mainstream four-electrode bioelectrical impedance analysis (BIA) technology found in home devices, featuring a minimalist and understated design.
- The top surface features a thickened tempered glass panel with rounded corners to prevent bumps and scratches. Four circular conductive metal electrodes are positioned at the corners, allowing for bioelectrical impedance measurement simply by standing barefoot on the scale.
- The base is equipped with non-slip silicone pads, ensuring stability on tile or wood flooring. It features a Type-C charging port and a built-in lithium battery, eliminating the need for frequent battery replacements and offering a battery life of several months under normal use.
- There is no physical power button; the device wakes up automatically via pressure sensors, completing a measurement in about three seconds. A small built-in LED display shows the weight reading directly, while detailed body fat data can be viewed via the Ant Afu App.
The overall build quality is consistent with standard home scales in the sub-100 RMB price range, avoiding any “cheap plastic” feel. However, there are clear limitations: it relies on a four-electrode system. Unlike high-end eight-electrode scales, it cannot differentiate fat distribution between the upper and lower body. While suitable for daily trend monitoring in average households, it is not designed for the precise data tracking required by professional fitness enthusiasts. ## II. Measurement Capabilities: 18 Body Metrics—Sufficient, Though Not Extreme

At the hardware level, it can output 18 core body metrics in a single session: weight, BMI, body fat percentage, visceral fat level, skeletal muscle mass, basal metabolic rate (BMR), body water, bone mass, protein content, and more.
Key takeaways from testing:
1. Excellent weight stability: Minimal variance across repeated weigh-ins; the deviation from commercial-grade scales is within 0.2 kg.
2. Body fat data follows standard patterns for home devices: Bioelectrical impedance analysis (BIA) is susceptible to factors like hydration, food intake, exercise, and foot moisture. Rather than obsessing over a single absolute reading, long-term trend changes offer valuable insights.
3. Supports multi-user recognition; the whole family can share one scale, while the app automatically distinguishes between accounts and archives data separately—making it ideal for household use.
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A Note on the Technology: Home body fat scales are not equivalent to clinical DEXA scans or MRI tests. All consumer-grade body fat devices serve only as references for health trends and cannot be used as a basis for medical diagnosis.

III. Core Highlights: Hardware Is Just the Vehicle; AI Interpretation Is the Differentiating Edge

For the vast majority of smart body fat scales on the market, hardware measurement and software services remain disconnected; this is precisely where the “Ant Afu”product makes its biggest breakthrough.
Traditional workflow: Step on scale → Get a list of numbers → User looks up meanings online.
Ant Afu workflow: Step on scale → Sync 18 metrics via Bluetooth → One-tap launch of AI-powered interpretation.

Testing the AI’s Core Capabilities
1. Plain-Language Interpretation of Metrics
  The AI avoids jargon overload, automatically labeling metrics as “Low,” “Normal,” or “High” and explaining the associated risks for each. For instance, if it detects high visceral fat, it clearly outlines the potential impact; if muscle mass is insufficient, it offers targeted advice on protein intake. Users can directly ask the AI follow-up questions about data they don’t understand, engaging in an interactive Q&A process. 2. Generation of Personalized Action Plans
  By combining long-term historical data, the AI distinguishes between “short-term fluctuations in water weight” and “actual changes in body fat,” avoiding generic, one-size-fits-all recommendations:
- For those aiming to lose fat: Estimates daily caloric needs and provides guidance on dietary composition, exercise duration, and workout types;
- For those in a sub-healthy state: Offers daily wellness advice focusing on bone mass, body water content, and basal metabolic rate;
  Plans are dynamically adjusted based on weekly body data rather than being static, one-time outputs.
1. Integration of Health Data
  The app supports connectivity with various health devices, such as smartwatches and pulse oximeters. Moving beyond reliance on body fat scale data alone, the AI analyzes multi-dimensional health profiles to create a comprehensive personal health overview.
2. Weight Loss Community & Incentive System
  Leveraging the “Scientific Weight Loss: Shedding 100 Million Catties” campaign framework, the system includes built-in check-ins and weight loss challenges to address the common struggle of maintaining consistency, creating a closed-loop ecosystem of hardware, AI services, and community support.
IV. Summary of Advantages

✅ Low Barrier to Entry: The official campaign model significantly lowers the cost of acquiring the hardware, allowing average users to experience AI-driven health management affordably;
✅ Deep Hardware-Software Synergy: Hardware collects data while AI interprets it and generates plans, addressing the core need to “understand the data and know what to do”;
✅ User-Friendly Interaction: Uses accessible, easy-to-understand language suitable for older adults and weight-loss beginners, requiring no complex learning curve;
✅ Rechargeable Design & Multi-User Support: Suited for the daily usage scenarios of most ordinary households;
✅ Automated Trend Curves: Automatically generates trend charts, providing a clear visual representation of long-term changes in fat loss and body shaping.

V. Limitations and Usage Precautions

❌ Hardware Limitations (4-Electrode System): Serious fitness enthusiasts seeking localized fat monitoring for specific limbs should opt for high-end 8-electrode body fat scales;
❌ General-Purpose AI Plans: AI-generated exercise and diet plans are designed for the general public and cannot match the quality of one-on-one guidance from a professional nutritionist;
❌ App Dependency: Full functionality requires the “Ant Afu”app; without the app, the device functions only as a standard weight scale, rendering the AI features unusable;
❌ Bioelectrical Impedance Constraints: Due to the underlying bioelectrical impedance technology, use is not recommended for pregnant women or individuals with implanted medical devices. ## VI. Who Is It For? Who Is It Not For?

Recommended For
1. Beginners in weight loss and average household users who want to monitor changes in weight and body fat over the long term;
2. Users who find complex body fat metrics confusing and want AI to provide easy-to-understand interpretations along with basic dietary and exercise advice;
3. Those looking for a cost-effective, rechargeable home body fat monitor suitable for the whole family.
Not Recommended For
1. Serious fitness enthusiasts engaged in professional strength training who require granular data on fat distribution across specific limbs;
2. Users who expect the scale’s data to match the precision of professional medical-grade diagnostic equipment.
VII. Conclusion

Smart wearables and health hardware are undergoing a transformation: the era of simply competing on sensors and technical specifications is over; AI service capabilities based on hardware data have become the core competitive advantage.

The Ant Afu AI Smart Body Fat Scale A1 offers solid, mainstream home-use hardware without featuring revolutionary sensor innovations; however, its true value lies in establishing a seamless “data collection — AI interpretation — action plan” workflow. It is no longer merely a weighing tool, but an accessible AI-powered health management device designed for the average person.

For the vast number of consumers who wish to manage their physique scientifically and avoid blind dieting, this device lowers the barrier to entry for health monitoring and effective weight loss. If you need a home body fat scale for daily tracking and AI-assisted analysis, it offers great practical value; if you are seeking professional-grade precision in body composition analysis, however, you should maintain realistic expectations regarding the technical limitations of home-use devices.
2026-07-27
In-Depth Review: DalingRing AI Health Smart Ring
Unveiled at the 2026 World Artificial Intelligence Conference (WAIC), the DalingRing AI health smart ring targets a major pain point in the current wearables market: the bulkiness of smartwatches, the need for daily charging, and the wrist discomfort caused by wearing them at night. Featuring a lightweight titanium alloy design that integrates multi-channel physiological sensors with proprietary AI health algorithms, it pioneers a new category of lightweight health monitoring that is screen-free, offers all-day usage, and boasts long battery life. While major brands crowd the market with iterative smartwatch updates, DalingRing offers a different solution: health monitoring doesn’t require a large-screen watch; a single ring can achieve continuous, 24-hour body tracking.

DalingRing AI

I. Design and Craftsmanship: 2.8mm Ultra-Slim Body for True All-Day, Unobtrusive Wear

DalingRing is crafted using an aerospace-grade titanium alloy unibody process. Its surface features a matte, wear-resistant finish designed to prevent metal allergies, making it suitable for sensitive skin. The device is just 2.8mm thick and weighs around 3g, comparable to a standard, unadorned everyday ring.
- The inner band features an ergonomic, rounded profile with an embedded micro-optical sensor module; it sits comfortably without digging into the finger and leaves virtually no marks even after overnight wear.
- Available in multiple sizes and two popular colors—matte black and polished silver—it boasts a minimalist aesthetic that pairs well with other jewelry, blending tech functionality with fashion versatility.
- With an IP68 dust and water resistance rating, there is no need to remove it while washing hands, showering, or swimming, thereby minimizing data gaps caused by frequent removal and re-wearing.
Its biggest advantage over smartwatches is that it completely eliminates the reluctance to wear a device while sleeping. Many users forgo sleep monitoring because wristwatches feel heavy and stuffy; DalingRing’s form factor removes the barriers to long-term, continuous wear.

Its hardware architecture features an ultra-low-power Bluetooth chip and a built-in micro multi-channel PPG optical sensor. By leveraging the physiological characteristics of the fingertip—where capillaries are dense and close to the skin’s surface—it captures raw blood flow signals with a higher signal-to-noise ratio than smartwatches, providing a more reliable data source for AI analysis. ## II. Core Capabilities: Edge AI-Driven, Moving from Data Collection to Health Insights

While many wearable devices currently limit themselves to mere data collection, DalingRing’s key differentiator is its multimodal AI health analysis system. It continuously integrates multidimensional signals—such as heart rate, heart rate variability (HRV), blood oxygen levels, activity, and sleep—to automatically generate trend insights.

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Note: All monitoring data is intended for general health reference only and cannot replace medical devices or professional medical diagnoses.

1. AI-Powered Comprehensive Sleep Analysis (Key Highlight)

The ring automatically initiates continuous monitoring at night without requiring manual activation. AI algorithms distinguish between four key stages: light sleep, deep sleep, REM (Rapid Eye Movement) sleep, and nighttime awakenings. It continuously tracks nocturnal blood oxygen fluctuations and respiratory rhythm changes, identifying signs of sleep fragmentation and nighttime hypoxia.
A comprehensive sleep score is delivered each morning, accompanied by targeted optimization suggestions—such as adjusting bedtime, reducing pre-sleep stimulation, and improving the bedroom environment. It serves as a cost-effective tool for long-term sleep tracking, ideal for habitual snorers, shift workers, and those suffering from insomnia.

2. 24-Hour Continuous Cardiovascular and Stress Monitoring

It tracks resting heart rate, real-time blood oxygen levels, and heart rate variability (HRV) around the clock. AI models assess physical stress loads and autonomic nervous system status, continuously capturing signals of chronic fatigue during long periods of sedentary work or high-pressure office environments.
A one-touch feature allows for quick ECG data capture, recording short-term waveforms to assist in self-monitoring for irregular heart rhythms. Long-term data is aggregated into weekly and monthly cardiovascular trend curves, offering a clear view of how daily routines, exercise, and emotions impact heart health.

3. Continuous Dynamic Blood Pressure Trend Monitoring

Unlike electronic blood pressure monitors that rely on intermittent measurements, DalingRing continuously calculates blood pressure trends based on blood flow signals, recording fluctuations during key periods such as the morning, night, and post-exercise. It is ideal for individuals who need to monitor blood pressure trends over the long term but find frequent use of cuff-style monitors inconvenient.
Note: This product does not provide medical-grade blood pressure precision; its primary value lies in long-term trend tracking rather than providing a single, precise blood pressure reading. ### 4. Activity Tracking + Women’s Health Management

Automatically recognizes walking, jogging, and daily activities while tracking calorie expenditure and daily activity load. Features a built-in AI module for women’s menstrual cycle tracking; it predicts cycles based on body temperature and physiological fluctuations, and logs physical changes before and after menstruation.

5. AI Health Reporting System

A dedicated app aggregates all physiological metrics, moving beyond a mere pile of scattered figures. AI generates comprehensive weekly health reports that correlate sleep, stress, and activity levels to uncover patterns in physical changes. Example insight: “Deep sleep duration has been consistently low over the past two weeks, and your resting heart rate baseline has risen; we recommend increasing daytime outdoor activity and avoiding staying up late.”

III. Battery Life & Ecosystem: Say Goodbye to Daily Charging Anxiety

Battery life is a core competitive factor in the smart ring market and a major advantage over smartwatches:
- With a full charge, the ring supports continuous, round-the-clock health monitoring for 15–20 days;
- Magnetic charging dock allows for a full charge in approximately 80 minutes—no need to carry a charger for short business trips or vacations;
- Uses Bluetooth 5.3 Low Energy connectivity and supports both iOS and Android platforms; health data is cached locally on the ring when offline and automatically synchronizes upon reconnecting to the phone;
- Prioritizes on-device processing; vast amounts of physiological data are pre-processed locally on the ring, reducing raw data transmission to the cloud and balancing responsiveness with personal health privacy.
A note on limitations: There is no built-in screen, and it lacks entertainment features such as message notifications, standalone navigation, or offline music playback. Its positioning is focused purely on health monitoring rather than trying to be an all-in-one device.

IV. Comparative Analysis: DalingRing vs. High-End Smartwatches (Samsung Galaxy Watch9/Ultra2)

Comparing it with the recently released Samsung Galaxy Watch9 series clearly highlights the positioning differences between the two product lines:
1. Samsung Galaxy Watch 9 / Ultra2
  Strengths: Large-screen interaction, message notifications, dual-frequency GPS, professional diving capabilities, standalone apps, and comprehensive sports modes; offers a wide range of entertainment and outdoor features. Drawbacks: Requires daily or every-other-day charging; noticeable weight when worn at night; average comfort for long-term sleep wear.
2. DalingRing AI Smart Ring
  Advantages: Ultra-lightweight; exceptional battery life; imperceptible all-day wear; superior sleep monitoring experience; jewelry-like aesthetic that blends seamlessly with daily outfits.
  Drawbacks: No screen; lacks standalone activity tracking (GPS routes); no message notifications; features are strictly health-focused, lacking entertainment or extended functionality.
Buying Logic: If you need notifications for commuting, outdoor trail running, diving, or GPS route tracking, prioritize a smartwatch. If your core needs are long-term sleep tracking, continuous 24-hour vital sign monitoring, and avoiding frequent charging, a smart ring like the DalingRing is an excellent complement—or even a companion to a smartwatch—to build a comprehensive health data matrix.

V. Summary of Pros and Cons

✅ Advantages
1. Ultra-thin, lightweight titanium alloy design enables truly imperceptible 24-hour and overnight wear;
2. Exceptional battery life eliminates the “daily charging” pain point common to smart wearables;
3. AI algorithms go beyond data recording to provide actionable health improvement suggestions;
4. IP68 water resistance means no need to frequently remove the device, ensuring continuous health data collection;
5. Minimalist, jewelry-like design suits both men and women and is friendly to sensitive skin.
⚠️ Drawbacks
1. No screen and no support for call or message notifications; not suitable for users seeking an all-in-one wearable device;
2. No standalone GPS; cannot record outdoor running routes;
3. Blood pressure and ECG functions are for consumer-grade monitoring and cannot serve as a basis for medical diagnosis;
4. Integration with third-party fitness platforms is still being refined compared to flagship smart rings from overseas brands. ## VI. Target Audience & Purchasing Recommendations
We particularly recommend this product to the following groups:
- Office workers dealing with insomnia or snoring who wish to track their sleep patterns over the long term;
- Professionals in high-stress environments who want to continuously monitor stress, fatigue, and heart rate fluctuations;
- Individuals who dislike wearing bulky watches and prefer unobtrusive health monitoring;
- Middle-aged and elderly individuals who need to keep a close watch on their blood pressure and physical condition;
- Existing smartwatch users looking for a supplementary device specifically for overnight sleep monitoring.
VII. Conclusion: Smart Wearables Enter the Era of “Specialized Niche Products”

A clear trend is emerging from the recent wave of AI-powered health hardware launches: devices are moving away from the “all-in-one” approach. While the Samsung Galaxy Watch 9 series maintains the standard for comprehensive smartwatches, the DalingRing AI health smart ring carves out a new path in the specialized, lightweight category.

It does not aim to replace the smartwatch; instead, it addresses the watch’s biggest drawback—the barrier to comfortable, continuous, 24/7 wear. As the industry shifts from “one-off measurements” to “long-term trend management,” this unobtrusive ring—capable of operating around the clock without frequent removal for charging—perfectly meets the modern need for continuous health monitoring.

For health enthusiasts, the DalingRing represents the future of consumer-grade health wearables: a lightweight form factor, on-device AI processing, long battery life, and a privacy-first design. It integrates professional-grade health monitoring into daily life without adding the burden of yet another electronic device.
2026-07-24
The Era of AI-Driven Proactive Health Arrives: Samsung Galaxy Watch
At the Samsung Galaxy Unpacked event on July 22, 2026, the next generation of dual-flagship smartwatches—the Galaxy Watch 9 and Galaxy Watch Ultra 2—officially debuted. Both products feature the latest Snapdragon wearable platform and on-device Galaxy AI, building their core competitiveness around AI health monitoring. The product lines are distinct: one targets daily urban health management, while the other caters to outdoor extreme sports enthusiasts. While most smart hardware remains stuck in the “data collection” phase, this new lineup from Samsung attempts a leap forward: evolving the wrist-worn device from a mere health tracker into an all-day AI health assistant.

Galaxy Watch

I. Design and Hardware: Clear Positioning for Two User Groups

Galaxy Watch 9 — The Versatile Urban Daily Driver

The Galaxy Watch 9 retains Samsung’s signature “round-face, square-body” lug-less design. It comes in two sizes (40mm and 44mm) and features an Armor Aluminum body that is just 8.6mm thick. The 40mm model weighs as little as 31.5g, ensuring minimal discomfort when worn during sleep.
It sports a Super AMOLED display with a peak brightness of 3,000 nits, offering excellent visibility for daily commutes and indoor environments. Sapphire crystal glass comes standard across the lineup, providing superior scratch and wear resistance.
Hardware specifications include the Snapdragon Wear Elite (3nm) processor and 2GB RAM/32GB storage. Battery capacities are 390mAh (40mm) and 445mAh (44mm), offering up to 30 hours of battery life under typical use. It also meets MIL-STD-810H military standards and holds an IP68 water resistance rating.

Galaxy Watch Ultra 2 — The Hardcore Outdoor Flagship

The Ultra 2 features a significantly upgraded market position, available exclusively with a large 47mm dial. Its titanium body balances lightweight construction with impact resistance, while the “Titanium Shadow Gray” and “Titanium Frost Silver” colorways offer a rugged aesthetic. Peak screen brightness has been boosted to 5,000 nits, ensuring clear visibility in harsh midday sunlight or on mountain trails without the need to shield the screen with one’s hand. Hardware Highlights: Powered by the same Snapdragon wearable chip and upgraded to a generous 2GB RAM + 64GB storage configuration; features a massive built-in 800mAh battery offering up to 60 hours of runtime—eliminating the need for a charger during short camping trips or two-day excursions; equipped with L1+L5 dual-band GPS for significantly enhanced positioning accuracy.
Top-Tier Durability: Rated IP69K (dust and high-pressure water resistance) and 10ATM water-resistant; certified to the EN13319 standard for professional diving equipment, supporting dive monitoring up to 40 meters and catering to specialized activities such as trail running, triathlons, open-water swimming, and diving.

Galaxy Watch Ultra2

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Core Hardware Commonality: Both models share the same core processor and support on-device AI computing. Health data analysis and voice interactions do not rely entirely on smartphone cloud services; local data processing ensures both rapid response times and data privacy.

II. Key Highlight: Galaxy AI Redefines Wrist-Based Health Monitoring

The most significant innovations in this generation center on AI health algorithms and the second-generation BioActive integrated biosensor. While previous smartwatches merely passively recorded heart rate and blood oxygen levels, the Watch9 and Ultra2 leverage AI to deliver trend analysis, risk alerts, and personalized health recommendations, representing the most feature-complete lineup of consumer AI health wearables to date.

1. Major New Feature: AI-Powered Sleep Apnea Risk Monitoring

The entire series features a sleep apnea screening algorithm. The watch continuously collects data on breathing fluctuations, blood oxygen levels, and heart rate throughout the night, using AI to detect instances of interrupted breathing. By aggregating sleep data over multiple days, the system assesses the potential risk of moderate-to-severe sleep apnea and offers lifestyle improvement suggestions.
Going beyond simple tracking of sleep stages, this feature directly addresses a common modern health issue and represents a trending area in the consumer health wearable market.
*Note: Monitoring results are for general reference only and do not replace professional medical diagnosis. *

2. Continuous AI Cardiovascular Health Monitoring
- AI-powered ECG screening for Atrial Fibrillation (AFib), allowing for one-touch ECG waveform recording at any time;
- Heart Health Scoring System: AI integrates resting heart rate, heart rate variability (HRV), and activity load to generate an intuitive cardiovascular health score;
- New Daily Cardiopulmonary Load Analysis: Automatically assesses whether daily exercise volume is excessive and estimates recovery time, helping to prevent strain caused by overexertion.
3. Ultra2-Exclusive AI Sports Capabilities

Leveraging a larger battery and professional-grade sensors, the Ultra2 introduces AI-based sweat loss analysis and smart hydration reminders. During workouts, it calculates sweat loss relative to body weight and automatically suggests optimal hydration timing and intake amounts—ideal for long-distance running, trail running, and other endurance activities.
A dedicated trail running mode precisely tracks elevation changes, ascent data, and terrain impact; AI dynamically adjusts pacing recommendations to reduce the risk of outdoor injuries. A professional diving app is also coming soon to track ascent/descent speeds and safety thresholds.

4. Samsung AI Health Assistant: Ecosystem Integration

The new Samsung AI Health Assistant (Beta) has launched, enabling seamless data sharing between the watch and the Galaxy Ring. The AI aggregates multi-dimensional metrics—including all-day activity, sleep, body temperature, and blood oxygen levels—to provide comprehensive health insights rather than just isolated figures. Examples include: “Sleep has been consistently light over the past week; consider adjusting your bedtime” or “Resting heart rate is trending upward; pay attention to stress management.”

Galaxy Watch 9

III. System Experience, Battery Life, and Ecosystem

Powered by Wear OS with the One UI Watch interface, the system offers significantly improved fluidity compared to the previous generation. The new 3nm chip eliminates multitasking lag and enhances stability for notifications, offline music playback, and background workout tracking.
Compatibility has been optimized; beyond Samsung devices, other mainstream Android phones can now fully access the vast majority of health features, eliminating the issue of restricted functionality found in earlier versions. Real-world Battery Life Reference
- Galaxy Watch 9: With Always-On Display (AOD) enabled, all-day health monitoring, and one hour of daily exercise, it offers standard battery life for mainstream smartwatches (requiring a nightly charge); disabling AOD can extend usage to nearly 40 hours.
- Galaxy Watch Ultra 2: Easily exceeds 45 hours under similar usage conditions and can surpass 100 hours in power-saving mode, placing it at the top tier for battery performance among large-screen flagship smartwatches.
In terms of the ecosystem, the watches support integration with numerous third-party fitness platforms (such as Strava and iFIT), while a wide variety of watch faces and third-party apps expand the range of daily use cases.

IV. Objective Overview of Strengths and Weaknesses

✅ Key Strengths
1. Leading Health Features: Highlights such as sleep apnea detection and continuous AI-driven cardiovascular monitoring directly address common health needs.
2. Clear Product Differentiation: The lineup is clearly segmented—everyday users can choose the Watch 9, while outdoor enthusiasts can opt for the Ultra 2—avoiding internal market overlap.
3. On-Device AI Processing: Protects the privacy of sensitive health data; also supports integration with the Samsung smart ring to build a comprehensive wearable health ecosystem.
4. High-End Hardware: The Ultra 2 features professional-grade diving capabilities and dual-frequency GPS—specs rarely found at this price point—challenging the market dominance of specialized outdoor sports watches.
⚠️ Current Limitations
1. Standard Battery Life: The Watch 9 offers mainstream battery performance without a breakthrough improvement; heavy users will still need to charge it daily.
2. Android Dependency: Some advanced health features require an Android phone, resulting in limited functionality within the iPhone ecosystem.
3. Weight: The Ultra 2 features a titanium body weighing 61.5g; users with slender wrists may feel a noticeable heaviness during prolonged wear.
4. Non-Medical Grade: All health monitoring features are intended for daily reference only and are not certified for medical diagnosis.
V. Buying Recommendations
- Choose Galaxy Watch 9 (Starting at 2,499 RMB)
  Ideal for urban office workers, female users, and those with a specific need for sleep monitoring. Best for users who prioritize a lightweight fit, daily health management, and casual workouts; suitable for those with a moderate budget who do not require extreme outdoor or diving capabilities. – Choose the Galaxy Watch Ultra2 (5,299 RMB)
  Ideal for long-distance runners, trail hikers, and diving enthusiasts; suitable for those who require long battery life, high-precision GPS, and rugged durability, frequently engage in prolonged outdoor activities, and want a premium, all-in-one smartwatch that meets every need.
VI. Conclusion: A Bellwether for the New Wave of AI Health Hardware Competition

Looking at the recent flurry of AI-powered health hardware releases, the Samsung Galaxy Watch 9 and Ultra2 chart a clear path forward: combining sensor hardware upgrades with on-device large AI models to shift the focus from mere “data collection” to “health insights.”

In the past, consumers prioritized battery life, watch faces, and notifications when buying smartwatches; today, there is increasing emphasis on tracking sleep, heart health, and long-term physical well-being. Samsung’s dual-flagship strategy perfectly aligns with the current trends in consumer health wearables.
If your needs center on daily vital sign monitoring, sleep management, and light exercise, the Galaxy Watch 9 offers a balanced, versatile choice. If, however, you love outdoor exploration and want a premium wearable that handles both daily commuting and extreme environments, the Galaxy Watch Ultra2 is a standout AI health flagship worth experiencing.
2026-07-24