Posted by Sadia Waseem
Workers in the manufacturing sector perform thousands of movements daily, like lifting, reaching, twisting, or bending, many causing strain on the muscles and joints. Traditional ergonomic assessment tools capture risks associated with these harmful movements only during infrequent evaluations. The following inadequacy explains why Musculoskeletal Disorders (MSDs) still cost U.S. manufacturers nearly $18 billion annually despite years of ergonomic literacy programs.
Despite this high cost, and MSDs contributing to the 30% of nonfatal occupational injuries involving days away from work, manufacturers continue relying on manual ergonomic assessments. These traditional assessments fell short due to their periodic observations and subjective scoring. AI-powered ergonomic assessments are addressing this challenge through their computer vision and continuous monitoring abilities. These advanced systems identify potential ergonomic risks that the human eye might miss to provide more accurate analysis.
In this article, we’ll explore how AI assessments work to bridge the gap between identifying ergonomic issues and solving them permanently.
AI ergonomic assessment tools utilize advanced technology to overcome the limitations of manual assessments, and provide accurate assessment without hefty calculations, manual measurements, and hectic observations. Let’s take a look at how they actually work to automatically assess your ergonomic conditions in real-time:
1.Video Capture and Analysis
The AI ergonomic assessment process starts by recording your process. It can be done through any device or person, eliminating the need of an expert or professional, like in traditional ergonomic assessment. The video recording can be done through any angle, this approach allows for flexible data collection without disrupting normal operations or prone to Hawthorne Effect.
The recorded video of the process is uploaded to AI assessment software, where the analysis starts. The software captures all the movement of the worker, analyzing every joint or muscle, in which the possible risk is associated. A 2020 study in Applied Ergonomics showed that these computer vision systems can compute ergonomic risk scores with 95% accuracy compared to expert assessments, even in challenging industrial environments.
AI ergonomic assessment tools tend to analyze tasks that might be missed during manual observations. For example, if you feel the recorded process is not presenting the true picture, you can always record other videos and perform re-evaluation in just a fraction of minute, unlike traditional assessments that require hours.
2. Automated Ergonomic Assessment Scores
After video processing, and analyzing every movement of the worker, the software starts producing assessment results, as directed. It can provide RULA (Rapid Upper Limb Assessment) and REBA (Rapid Entire Body Assessment) scores to evaluate risk levels. A study in the Journal of the Egyptian Public Health Association found that AI-enhanced ergonomic assessments reduced scoring time by 70%.
AI ergonomic systems calculate key metrics including joint angles at the neck, shoulders, elbows, wrists, back, and knees; forces exerted during various tasks; frequency of repetitive movements; and duration of static postures. These measurements are then converted into standardized risk scores that highlight potential problem areas.
Lifting activities can be evaluated through NIOSH Lifting Equation to calculate the Recommended Weight Limit (RWL) and Lifting Index (LI) for each observed lift. The system also incorporates Snook Tables, which provide guidelines for maximum acceptable weights and forces during pushing, pulling, lifting, and lowering tasks across different populations. The combination of these ergonomic assessment tools provide a clear picture of current ergonomic conditions and room for improvement.
3. Comprehensive Insights and Recommendations
After the basic scoring, the AI ergonomic assessment generated detailed reports that explained the scores. These reports identify specific ergonomic-related issues and their severity that enable manufacturers to prioritize actions and identify which areas need immediate action.
The detailed insights include identification of high-risk movements and postures, time-stamped video references showing exactly when risky movements occur, comparison of different workers performing the same task to identify best practices, and ergonomic risk trends across different workstations or departments.
Most importantly, the AI system provides practical recommendations for reducing identified risks. These might include adjusting workstation heights, redesigning tool handles, modifying task sequences, or implementing job rotation schedules.
This streamlined process from capturing videos to tailored recommendations makes AI ergonomic assessment a more accurate and reliable tool for the well-being of the worker without any expertise or disruption to the operations.
Now that we understand the working of AI ergonomic assessments, it’s important to consider their benefits that makes them valuable for manufacturers:
1.Reduced Workplace Injuries and Cost
MSDs can cause significant monetary losses to manufacturers. Some of the MSDs can cause permanent damage to workers, affecting overall productivity and output due to a shortage of skilled laborers. According to an OSHA study, MSDs cost U.S. employers approximately $20 billion in direct costs annually. AI ergonomic assessments help to reduce ergonomic-related injuries and the cost associated with them through in-depth analysis of movements. The system detects high-risk movements and postures quickly to enable preventive modifications rather than reactive responses to injuries.
2. Improved Employee Satisfaction and Productivity
When workers perform their tasks without physical strain or discomfort, both morale and efficiency improve. A study published in the National Library of Medicine found that ergonomic condition has a significant impact on job satisfaction, with a factor loading of 0.53. AI ergonomic assessments contribute to these improvements by identifying specific movements and postures that cause strain and enabling targeted workstation adjustments. Workers who do not end their shifts with extreme fatigue and pain in joints or muscles are more likely to manufacture quality products with high efficiency.
3. Data-Driven Decision Making
Traditional ergonomic assessments often rely on manual data collection, measurements, and subjective observations which makes it difficult to prioritize improvement initiatives. AI ergonomic assessment tools provide objective, quantifiable data about risk factors across different workstations and tasks. A study published in the International Journal of Research and Scientific Innovation demonstrated that AI-driven posture correction led to a 25% reduction in workplace injuries. The data-driven approach enables manufacturers to make informed decisions through which tangible results can be achieved. ~
4. Enhanced Compliance and Risk Management
Regulatory compliance represents another critical benefit of AI ergonomic assessments. These systems provide detailed documentation of ergonomic risk factors and improvement initiatives to create an audit trail that demonstrates proactive safety management. The systematic approach identifies and addresses ergonomic risks that manufacturers can demonstrate to protect worker health and potentially reduce liability and ensure alignment with OSHA guidelines.
5. Scalable Implementation Across Operations
AI ergonomic systems can be deployed across multiple facilities, unlike traditional ergonomic assessments that require expert evaluators at each location. This scalability enables similar standards for ergonomic safety regardless of location or size. The standardized approach provided by AI assessments eliminates variations in how ergonomic risks are evaluated and addressed across different facilities or departments. This consistency is particularly valuable for large manufacturers with multiple sites.
These key benefits deliver value that extends beyond basic safety requirements and help to create manufacturing environments where both worker well being and efficiency is prioritized.
The benefits of AI ergonomic assessments are clear, but selecting the right solution is important for successful implementation. Retrocausal’s Ergo Copilot provides manufacturers with a comprehensive ergonomic assessment tools suite to deliver these advantages while minimizing implementation challenges:
Comprehensive Assessment Capabilities
Ergo Copilot uses computer vision to analyze worker movements and generate accurate results. It takes into account every joint and movement of the limb to provide analysis that the human eye might miss. This approach eliminates the need for specialized equipment or wearable sensors, making implementation straightforward across different manufacturing environments. Ergo Copilot provides a suite of different ergonomic assessment tools like RULA, REBA, NIOSH lifting equation, and SNOOK tables. The combination of these tools ensure that assessments are carried out in recognized standards. This approach enables manufacturers to accurately evaluate ergonomic risks across various tasks and workstations.
Streamlined Implementation Process
Ergo Copilot follows a simplified implementation approach with no coding and seamless integration into existing systems. This straightforward process include:
This streamlined process makes ergonomic assessment accessible even for manufacturers without any ergonomics specialists. The system handles the complex analysis while delivering actionable insights in clear, practical reports.
Real-Time Feedback and Continuous Improvement
Ergo Copilot transforms ergonomic assessment from periodic evaluations to continuous improvement processes. The system enables manufacturers to track progress through analyzing before and after intervention video. Easy assessment processes enable manufacturers to verify the effectiveness of ergonomic intervention repeatedly and find the optimal one. This flexibility helps manufacturers maintain ergonomic standards even as production environments evolve to ensure workplace safety remains responsive rather than static.
By enabling iterative assessment and improvement, Ergo Copilot helps manufacturers build a culture of continuous ergonomic optimization that protects worker health and well being to attain maximum productivity.
AI ergonomic assessments offer significant benefits, but there are several factors that should be considered while implementing AI ergonomic assessments. Understanding these challenges enables organizations to utilize these systems effectively and maximize their benefits:
1.Data and Worker Privacy:
Video-based ergonomic assessments naturally involve recording workers as they perform their tasks. This raises important considerations about privacy and employee comfort. Workers may initially feel uncomfortable being recorded or monitored, which potentially affects their natural movements and may produce biased data. Ergo Copilot addresses these concerns through secure processing that blurs the worker’s face if required, to protect their privacy.
2. Integration with Existing System:
AI based ergonomic assessment tools may require specialized tools or scanners to implement in the existing system. These tools can cause additional costs that may hinder the adoption of AI-based ergonomic systems. AI solutions like Ergo Copilot integrate with existing systems without the need of any specialized equipment. These types of systems make transition from manual ergonomics to AI-based ergonomic systems both easier and cost-effective.
3. Disruption to On-Going Production:
A significant challenge with implementing new AI technologies is potential disruption to ongoing production. Many AI systems require extensive equipment installation, or production stoppage for calibration, sometimes taking days or even months to fully implement. Ergo Copilot addresses this challenge through its streamlined approach that requires only video capture of existing processes. The production disruptions can result in costly downtime and resistance from operations teams focused on meeting production targets.
Manufacturers can incorporate ergonomic assessments into their operations without affecting productivity goals with strategic planning and effective change management.
Ergonomically safe manufacturing environments have always been a challenge for manufacturers. Traditional ergonomic assessment tools rely on subjective observations, infrequent evaluations, and missed risk factors that lead to costly injuries. This approach worked sometimes, but often it didn’t catch ergonomic problems early enough.
AI ergonomic assessment tools are facilitating manufacturers by providing accurate analysis through computer vision and advanced technologies. Systems like Ergo Copilot make AI ergonomic assessment more accessible by just requiring smartphones to upload video of the process, and the rest of the assessment is done through AI.
However, there are implementation challenges like worker privacy and system integration, but these challenges are manageable with the right approach.
If you’re ready to move from reaction to prevention—and from paperwork to real progress—take a closer look at what Ergo Copilot can do. Book a demo. Walk through the data. See what better looks like.
In conclusion, manufacturing quality is critical to the success of any organization. By implementing effective quality control processes, optimizing production processes, providing training and development opportunities, and allocating adequate resources, VP’s of Manufacturing Quality can improve product quality, customer satisfaction, and ultimately, the bottom line.
Brandin and his team help our customers with setting up the Pathfinder platform and getting up-to-speed on all the features and functionalities, in addition to assisting them with standardizing their processes where needed.
Brandin is a seasoned manufacturing leader, who has spent more than a decade designing and setting up assembly lines in both the US and China, optimizing them, and working with human operators to maximize productivity and quality.
Jesse works closely with our marquis customers to understand their needs, and figures out the best solution that immediately adds dollars to their bottom line.
Jesse has two decades of enterprise sales experience. He has held sales leadership roles at pioneering technology startups.
Andrey takes inventions and converts them into innovations. He leads our product engineering team to turn our scientific prototypes into robust customer-facing products.
Andrey co-founded and successfully exited a startup to immigrate to the US. He spent his next eight years building the core data science infrastructure for Amazon’s supply chain planning team, and the CV/ML infrastructure for Microsoft’s HoloLens organization.
Zeeshan focuses on delighting our customers by understanding their needs and defining product and strategy to meet and exceed these needs. He works closely with our sales leadership to grow our customer base.
Zeeshan was a scientific leader at Microsoft’s HoloLens division, where he invented AI technologies to assist frontline workers across industries. Earlier, he shipped IoT platforms and visual defect detection software for manufacturers at Siemens and MVTec GmbH.
Huy takes our product roadmap and figures out what’s achievable with today’s AI advances, and what we need to invent to solve our customers’ pain points.
Huy led teams of scientists and engineers at NEC and invented technologies for driver assistance systems that are part of 500,000+ Honda cars. He is an inventor on more than 20 US patents, and his research papers are cited by every lab from MIT, Stanford, and CMU to Apple, Google, and Baidu.
