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Ergonomics Assessment Software
Strain-Free Spaces - Ergonomics Monitoring to Prevent Injuries and Discomfort
viAct Ergonomics Software leverages Computer Vision & IoT to automate Musculoskeletal Disorder (MSD) Risk Assessment with RULA & REBA Assessment, enabling data-backed ergonomics interventions.
The most awarded EHS Management Platform, Trusted by leaders!
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Ergonomic hazards don’t stand a chance with viAct Ergonomics Software, response time slashed by 37%, keeping movements smooth and strain out of workplace!
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- EHS Manager | Automobile Manufacturing
Our Technologies
Computer Vision
Transforms video feeds into actionable safety insights by detecting unsafe behaviors, PPE violations, and environmental hazards in real-time.
AI CCTV Cameras
Enhance traditional surveillance with AI-powered analytics to monitor compliance, detect intrusions, and automate safety alerts across dynamic jobsites.
Edge Devices
Enable real-time data processing on-site, minimizing latency and ensuring faster safety responses without relying on constant cloud connectivity.
IoT & Wearables
Integrates smart helmets, locks and sensors for seamless monitoring of workers’ vitals, movement, equipment status, and environmental conditions.
Drones
Deploy low-altitude drones for autonomous site surveillance, thermal scanning, and hazard detection in hard-to-reach or high-risk work zones.
Co-pilot / AI Agents
Acts as digital assistants offering voice/text-based safety guidance, process automation, and instant access to documentation for frontline teams.
What difference does Ergonomics Assessment Software makes?
TRENDS
Fatigue Free Workspaces
viAct computer vision powered ergonomics monitoring enables continuous posture analysis, real-time alerts, and targeted interventions – reducing workplace fatigue by 40%, while optimizing productivity with smart RULA & REBA assessment insights.
STATISTICS
Predictive Analytics for Workplace Ergonomics
Ergonomics software decreases MSD risks by 50%, enhances risk assessment accuracy by 88% and accelerates ergonomic risk identification by 70%, ensuring proactive workplace safety strategies with real-time data insights
OUTCOME
Reduced MSD Claims
Companies save upto $150,000-$300,000 annually in compensation costs by reducing MSD-related claims by 50% through ergonomics monitoring, enabling EHS leaders to drive proactive injury prevention strategies
Ditch the Aches: Ergonomics Just Got Smarter Now!
One bad posture, one big problem. Why risk it? Ergonomics Software analyzes, alerts and optimizes workspaces even before pain kicks in.
Assess, Adjust, Avoid Injuries!
Key features of
Ergonomics Assessment Software
RULA/RUBA Assessment
Awkward Body Angles Detection: Computer vision identifies excessive neck, back, arm bending; exceeding safe RULA & REBA Assessment thresholds, ensuring safety guidelines compliance.
Unsafe Squat vs. Bend Detection: Monitors if workers bend knees or waist unsafely when lifting, reducing lower back strain through MSD Risk Assessment.
Prolonged Static Postures: Detects employees maintaining fixed postures too long, a key MSD factor, aligning with Rapid Upper Limb/Body Assessment for risk reduction.
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Tool and Machinery Ergonomics
Unsafe Hand-Tool Handling: Detects improper grip or wrist-bending, during power-tool use, minimizing RSI risks and ISO 45001 Safe Equipment Use Standards
Vibration Exposure Monitoring: Identifies prolonged use of high-vibration tools, ensuring safety compliance and worker protection.
Machinery Proximity: Maintains safe distance from rotating equipment and conveyors, preventing injuries.
Repetitive Motion and Fatigue Monitoring
Excessive Repetitive Movements: Detects injury risks in high-frequency motions during tool handling.
Sustained Overhead Work: Detects prolonged arm elevation exceeding NIOSH-recommended ergonomic guidelines for preventing shoulder strain, ensuring workplace safety.
Fatigue-Induced Slouching: Identifies posture shifts or head-drooping linked to fatigue, addressing OSHA workplace fatigue concerns effectively.
Environmental and PPE Compliance
Obstacle Detection: Computer Vision identifies obstructions causing trips, slips, or unsafe postures, ensuring PPE usage in load-handling for safety compliances.
Unstable Walking Surface Detection: Identifies uneven ground, wet floors or loose materials; preventing falls and ensuring safety
Unsafe Lifting Detection
Improper Lifting Techniques: Computer Vision detects unsafe postures like twisting, bending, violating OSHA Manual Materials Handling (MMH) Standards and increasing injury risks.
Overhead Load Handling: Detects prolonged overhead lifting to prevent injury risks.
Load Shifting without Proper Support: Detects unstable, unbalanced load movements, reducing risks of sprains, strains, and falls.
Post Deployment Performance Matrix
40%
Decrease in Workplace Fatigue Incidents by tracking prolonged static posture and fatigue indicator, optimizing work-schedules and preventing burnout
50%
Reduction in MSD Risks through automated posture analysis and movement tracking.
10x
Compliance with ISO 45001 & OSHA standards, aligning with global safety regulations.
Unique Value Prepositions
Edge AI Ergonomics
Leverage AI on Edge devices for instant ergonomic risk detection, reducing dependence on cloud, accelerating response times, and preventing MSD injuries proactively.
Behavior-Sensing Computer Vision
viAct AI-driven vision analyzes worker movements, detecting ergonomic risks in real-time, ensuring proactive injury prevention, and improving workplace safety by over 85%.
IoT-Driven Ergonomics Monitoring
Ergonomics software by viAct connects smart wearables and sensors, providing personalized risk alerts to optimize workplace safety and enhance work efficiency effortlessly.
AI Ergonomics Co-Pilot
Empowers EHS and safety teams with 200+ Vision AI Agents that autonomously assess ergonomic risks and deliver actionable recommendations.
Responsible AI
Ensure responsible AI in ergonomics assessment with controlled data access, ethical monitoring, and strict compliance with GDPR and global privacy regulations
Ask Our Expert
Common questions our AI experts have been asked by EHS professionals about Ergonomics Assessment Software. Don't hesitate to ask us your question!
What is AI-powered Ergonomics Safety AI Monitoring?
AI-powered Ergonomics Safety AI monitoring is a solution for detecting workplace ergonomic risks such as awkward postures, repetitive movements, excessive bending and improper lifting. It is one of the many solutions available under viAct Health and Safety Management Platform. It analyses footage from existing CCTV cameras and scores risks using the RULA and REBA methods, helping safety teams assess and reduce musculoskeletal disorder (MSD) risks.
How does AI score ergonomic risk from CCTV?
The AI tracks worker postures on video footages and scores them with RULA (Rapid Upper Limb Assessment) for upper-body work and REBA (Rapid Entire Body Assessment) for whole-body tasks. viAct Ergonomics does this automatically, giving each task a risk score that shows how urgently it needs fixing.
Does viAct require wearables or sensors on workers for ergonomics assessment?
No. viAct assesses worker postures from existing CCTV footage, so workers do not need to wear sensors, straps or other devices. This means assessments run continuously during normal work, without interrupting tasks or relying on workers to wear equipment correctly. It also avoids the cost of buying and maintaining wearables across a large workforce.
How accurate are ergonomic assessments using viAct AI?
viAct achieves 90%+ accuracy for its AI ergonomic assessment. Accuracy is highest when the worker’s full body is clearly visible from a fixed, elevated camera angle with consistent lighting. Accuracy drops when workers are blocked by equipment or materials.
How is worker privacy managed under vision-based ergonomics monitoring?
Vision-based ergonomics monitoring manages worker privacy by analysing body postures, not identities. viAct Ergonomics automatically blurs faces and protects footage with end-to-end encryption, while supporting GDPR compliance. Risk scores are linked to tasks and workstations rather than named individuals, so safety teams can fix risky tasks without monitoring specific workers.
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