Two efficient integration modes to help you quickly launch mass production
Mode 1: Supporting your self-developed algorithms
We provide open APIs, SDKs, and underlying sensor interfaces, and assign engineers for one-on-one in-depth integration to help you adapt your core algorithms to the underlying hardware and output accurate sensor data.
Mode 2: Providing mature algorithm solutions
We directly provide you with industry-leading, mature fall detection algorithms, helping you avoid complex software development and quickly achieve product launch and mass production.
The specs behind every fall detection solution we build. No marketing claims — just the numbers that matter to engineers and procurement teams.
| Default sampling rate | 52 Hz |
| Burst mode | up to 6,600 Hz |
| Measurement range | ±8g (configurable) |
| Axes | 6-axis IMU |
| Standby power | μA level |
| Key benefit | Always-on monitoring without meaningful battery drain — critical for 24/7 eldercare deployments. |
| Altitude resolution | ≈ 1 cm |
| Noise floor | < 0.1 Pa RMS |
| Sensor type | Barometric |
| Key advantage | 1 cm resolution is what separates a sit-down from a fall. Single-axis accelerometers cannot make this distinction — barometric altitude data is essential for low false-alarm rates. |
| Sensor coprocessor | Dedicated Sensor Hub |
| Main processor | Deep sleep when idle |
| OS support | Android 8.1 / 13 |
| Key advantage | The Sensor Hub handles all motion processing independently — the main SoC only wakes on a confirmed event. This is the key to multi-day battery life without sacrificing detection sensitivity. |
| Battery capacity | 500 mAh |
| Theoretical standby | 56+ hours |
| Real-world usage | 50–60 hours |
| Cycle life | 500 cycles to 75% capacity |
| Waterproof rating | IP68 sealed |
A purpose-built sensing and decision pipeline — not generic smartwatch logic. An independent detection mechanism trained and optimised for real-world fall scenarios.
The device continuously captures motion and altitude data, establishing a real-time dynamic baseline of the wearer’s posture, movement, and height. Four data streams are sampled in parallel for 24/7 monitoring.
| IMU default sampling rate | 52 Hz |
| IMU max sampling capability | 6,600 Hz |
| Accelerometer range | ±8 g |
| Barometric sensor | Bosch BMP585 |
| Barometric noise floor | 0.08 Pa RMS (Typical) |
| Altitude resolution | Centimetre-level (Typical) |
The algorithm flags a suspected fall when it detects the signature sequence — a pattern clearly distinct from walking, sitting, or daily movement.
| Impact threshold | ≥ 2–3 g (Typical) |
| Free-fall window | Sub-second |
| Posture change | Adaptive judgement |
Impact spike
Free-fall phase
Rapid rotation
Sudden stillness
A single trigger never fires an alert. All conditions must be satisfied simultaneously — sitting down fails the altitude check; bending over fails the impact check.
| Altitude drop | ≥ ~0.5 m |
| Impact check | Multi-level combined |
| Stillness window | Several seconds |
| Wear status | Required |
| User confirm | 10 s cancellable |
Upon confirmation, all four positioning modules activate simultaneously. The system auto-switches strategy between indoor and outdoor environments.
| Outdoor lock | Second-level (Typical) |
| GPS | Metre-level accuracy |
| Wi-Fi | Indoor assist |
| 4G Cat.1 | Cell triangulation |
| UWB (optional) | cm-level indoor |
Event data pushes to caregivers and the platform instantly. The watch opens a two-way voice channel — so help can be coordinated before anyone arrives.
| Network | 4G Cat.1 |
| Voice | Two-way real-time |
| SOS trigger | Physical button |
| Payload | Time + GPS + status |
Built for real-world falls — not laboratory motion recognition.
Continuously optimised on real wearable behaviour data. Deployable across:
Partnership & integration
OEM
ODM
Private platform
Multi-region
≥80%
Detection accuracy
real-world tested
10 s
User confirmation
cancellable window
5
Independent validation
layers per event
Accuracy, reliability and low false alarms.
We deliver full hardware, firmware and SDK/API support with dedicated engineers, accelerating your product deployment and integration.
Our system detects falls, slips and impacts in real time, offering up to 92% accurate detection with adjustable sensitivity.
Smart algorithms filter daily motions, keeping the daily false alarm rate below 3% for reliable daily use.
Built-in wear status detection identifies device usage states and eliminates non-wear false alerts.
Configurable 10–15s cancellation window allows users to abort alerts and avoid unnecessary notifications.
Optimized power management enables 24/7 monitoring, supporting 50–60 hours standby with a 500mAh battery.
Open SDK and API support flexible integration with apps, dashboards and third-party monitoring systems.
Standardized production and strict QC ensure a defect rate below 0.8%, delivering stable bulk products for your projects.
Full-range smart watch solution integration for exclusive support; Learn more!
| Solution Type | Entry-Level Smart Watch | Advanced Android Health Watch | Medical alert watch | Senior-Friendly Home Watch |
| Core Value | Cost-Effective & Scalable | Feature-Rich & Full Health Suite | Clinical Compliance & Stability | Simplified UI & Family Care |
| Detection Tech | 6-Axis Motion Sensor | Dual-Sensor (Barometer + IMU) | Certified High-Precision Logic | Optimized Motion Detection |
| Health Monitoring | Basic Heart Rate & Steps | ECG, SpO2, Heart Rate | 24/7 Vital Sign Streaming | Heart Rate & Abnormal Alerts |
| OS & Connectivity | RTOS / 4G LTE | Android OS / 4G / Wi-Fi | Secure Proprietary OS | Customized RTOS |
| Battery Life | 7-14 Days (Ultra-Long) | 2-3 Days (High Performance) | 5-7 Days (Stable Power) | 7-10 Days (Low Maintenance) |
| Best For | Government & Mass Tenders | Tech Brands & Health Platforms | Hospitals & Nursing Homes | Solo Seniors & Home Care |
With 20 years of expertise in smart wearables, we focus exclusively on B2B solutions. Backed by strong R&D, reliable production and strict business ethics, we serve as a stable, conflict-free long-term partner.
2000㎡ R&D and Production Base
12 Automated Production Lines
350,000+ Units/Month Capacity
100% Rigorous Quality Control Process
30+ Leading Operators' Approval
20 Years of Industry Experience
Consult for quotations and request technical documents. A dedicated consultant will provide one-on-one support to understand your customized needs, including functionality, appearance, and algorithm integration.
Compile your needs and provide a customized solution, detailed quotation, and delivery time. A cooperation agreement will be signed after both parties confirm the requirements.
Fast prototyping and delivery, supporting full-function testing; free optimization and iteration based on feedback until standards are met.
Production begins after sample confirmation. Full-process quality control ensures consistent product performance and testing accuracy, with real-time synchronization of production progress.
On-time delivery and acceptance assistance; providing one-stop after-sales service including technical support, troubleshooting, and firmware upgrades.
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Table of Contents gps-fall-detection-watch-elderly-safety Introduction In the United States, one elderly person is sent to the emergency room due to a fall every 11 seconds. In the UK, falls rank as the leading fatal injury among people aged over 75. According to WHO statistics, around 684,000 people die from fall-related
The market of ODM smart watches with fall detection function is developing rapidly. The global elderly population will exceed 1.4 billion by 2030, driving soaring demand for safety monitoring. Many enterprises have entered the market. Cooperation with professional ODM manufacturers saves cost and time. Written for industry buyers and service
Introduction As global populations age rapidly, falls are the leading cause of senior injuries, hospitalizations and long-term health risks. Traditional manual SOS devices fail when elderly users lose consciousness or cannot move after a fall.That’s why fall detection watches with multi-sensor and logical algorithms have become essential healthcare wearables, the
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