Heart-rate, activity and fatigue data is analysed in real time to detect overwork, fainting and chronic-illness risk early and deliver personalised health guidance.
SenseZero Worker Health Management collects heart rate, activity level, and fatigue data in real time via smartwatch, and AI detects overwork and fainting risk in advance, delivering personalised alerts to both managers and workers. It integrates health checkup results with wearable data to provide systematic, evidence-backed health oversight for on-site workers.
How it works
Worker health managed systematically in three steps.
Collected automatically from the smartwatch the worker already wears.
Continuous working hours, heart-rate variability (HRV) and activity changes are read together.
Managers are alerted on the dashboard, workers in the app.
Key features
Monitor individual health indicators — heart rate, activity level, sleep pattern, stress index — on a real-time dashboard, and analyse trends.
Detect overwork and fatigue risk in advance by analysing continuous working hours, declining activity levels, and heart-rate variability, then deliver alerts to managers and workers.
Integrated health dashboard
Understand worker health status at a glance and manage it proactively.
Enter or upload periodic checkup results to build a health profile combined with wearable data, with high-risk groups classified automatically.
Rest recommendations, hydration reminders and stretching guides based on each worker's health data.
Health data is stored encrypted; managers see only risk-level indicators and aggregates, and raw data access is role-gated.
Overwork-related accident prevention rate
Health anomaly detection
Personalised health guidance delivered
Heart rate, activity level (steps and calories burned), stress index, and sleep patterns are collected continuously via smartwatch. AI analyses these inputs to calculate an overwork and fatigue risk score from 0 to 100.
Periodic health checkup results can be entered into the dashboard or uploaded as a file. The system combines this data with wearable readings to build a comprehensive health profile and automatically classifies workers into risk groups.
Alerts fire when a combination of indicators - continuous working hours, declining heart-rate variability, and dropping activity levels - exceeds configured thresholds. Thresholds are adjustable to match your worksite environment.
Personal health data is stored encrypted. Managers see only risk-level indicators and aggregated statistics; access to individual raw data is role-gated. The system complies with the Personal Information Protection Act and applicable medical data regulations.
We will propose the optimal solution combination to match your industry, site scale, and management goals.
