Automated RULA and REBA assessments that identify musculoskeletal risks in real-time. Prevent repetitive strain injuries before they become chronic conditions.
MSDs account for over 30% of all worker's compensation costs. Traditional ergonomic assessments are infrequent, subjective, and miss the cumulative risks that develop over time.
Ergo AI implements validated ergonomic assessment methodologies used by occupational health professionals worldwide.
Evaluates upper body postures for tasks involving repetitive arm movements, static muscle loading, and forceful exertions. Ideal for assembly, packaging, and computer workstations.
Comprehensive whole-body assessment including legs and load handling. Best suited for dynamic tasks, manual material handling, and unpredictable postures in industrial settings.
Ergo AI transforms periodic manual assessments into always-on, objective biomechanical analysis.
Standard cameras capture worker movements during regular tasks. No wearables or sensors required.
AI pose estimation identifies 17 key body joints and calculates segment angles in real-time.
RULA and REBA algorithms calculate risk scores considering posture, force, and repetition.
Alerts trigger when risk thresholds are exceeded. Recommendations guide workstation improvements.
Ergo AI provides capabilities that manual assessments simply cannot deliver.
Track ergonomic risk over time. Identify tasks with degrading posture patterns before injuries occur.
Simultaneously assess multiple workers on a production line. Aggregate data reveals systemic issues.
Compare ergonomic impact across different task methods. Quantify improvements from workstation changes.
Detect postural degradation as shifts progress. Alert supervisors when workers need rotation or breaks.
Understand how ergonomic risk varies by shift, day of week, and season. Optimize scheduling accordingly.
Generate documentation for OSHA, ISO 11228, and internal ergonomics programs. Audit-ready evidence.
Biomechanical analysis built on proven occupational health research.
# Ergo AI Configuration pose_estimation: model: MediaPipe BlazePose keypoints: 33 landmarks body_segments: 17 analyzed fps: 30 frames/second accuracy: ±3° joint angle assessment_methods: rula: version: McAtamney & Corlett 1993 score_range: 1-7 segments: [neck, trunk, upper_arm, lower_arm, wrist] reba: version: Hignett & McAtamney 2000 score_range: 1-15 segments: [neck, trunk, legs, upper_arm, lower_arm, wrist] analysis_features: multi_worker: true max_simultaneous: 8 workers trend_analysis: hourly, daily, weekly fatigue_detection: postural degradation tracking task_segmentation: automatic cycle detection alerting: risk_thresholds: low: 1-2 (green) medium: 3-4 (yellow) high: 5-6 (orange) very_high: 7+ (red) notifications: [dashboard, email, SMS, API webhook] escalation: supervisor → safety_manager → EHS_director compliance: standards: [OSHA, ISO 11228, EN 1005] reporting: PDF, CSV, API export data_retention: configurable (default 2 years) privacy: no facial recognition, anonymization available
Ergo AI adapts to the specific ergonomic challenges of your industry.
Monitor repetitive upper limb tasks, overhead work, and sustained awkward postures on assembly lines.
Assess manual material handling, order picking, and loading/unloading activities.
Evaluate cutting, packaging, and inspection tasks with high repetition rates and cold environments.
Monitor patient handling, laboratory work, and surgical procedures for healthcare workers.
Assess overhead work, kneeling tasks, and heavy material handling on job sites.
Evaluate workstation setup, monitor positioning, and keyboard/mouse use for desk workers.
Deploy Ergo AI as part of your GuardX platform. See ergonomic risks you've been missing.
Part of the Atena AI Platform • Works with existing cameras • No wearables required