Injury Prevention and safety in the Manufacturing Industry

Business Challenges

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Safety hazards: Employees who are handling heavy objects are at a higher risk of injuries, such as back strains, sprains, and fractures, which can lead to increased workers' compensation claims and potential liability for the company.

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Musculoskeletal injuries: Heavy lifting and repetitive motions can lead to musculoskeletal injuries such as strains and sprains.

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Reduced productivity: When employees are handling heavy objects, it can lead to increased downtime due to injuries, which can reduce productivity and increase costs.

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Repetitive motions: Repetitive motions such as twisting, bending or lifting can lead to injuries such as carpal tunnel syndrome, tendonitis, or sprains.

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Lack of proper equipment: Without proper equipment such as lifting belts and carts, employees may be at risk of injury while transferring heavy objects.

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Poor training: Without proper training on how to properly lift and transfer heavy objects, employees may be at risk of injury.

Solution Approach

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AI-driven adaptive solutions can solve critical challenges in preventive healthcare by providing personalized interventions that address health behavior conditions such as musculoskeletal disorders.

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We helped a startup develop a mobile application that uses AI technique to analyze human posture images and provide valuable insights on postures that increase the risk of injury.

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The application includes a feature that detects improper posture movement while carrying heavy objects and immediately sends a warning signal through the mobile application, alerting the worker to the risk of Musculoskeletal disorders (MSD).

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The solution utilizes the latest advances in Vision Intelligence and Human Pose estimation to automatically assess posture and generate RULA and REBA scores.

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This helps the HR and Health and Safety departments to assess the risk of repetitive stress injuries and take preventive measures.

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The application allows users to take an image or video of someone at their workstation/desk and immediately assess their posture, generating ergonomics scores to help prevent injuries.

Business Impact

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Increased safety: By detecting improper posture movement and providing warning signals, the application can help reduce the risk of musculoskeletal disorders and other injuries among workers, resulting in a safer working environment.

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Reduced costs: By reducing the risk of injuries, the application can help lower the costs associated with employee injuries, such as medical expenses and lost productivity.

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Increased productivity: By reducing the risk of injuries, the application can help increase employee productivity by keeping workers on the job and reducing the need for time off due to injury.

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Improved compliance: The application can help ensure compliance with safety regulations and industry standards, reducing the risk of penalties and fines.

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Better data collection and analysis: The application can collect and analyze data on worker posture and movement, providing valuable insights for identifying and addressing safety issues.

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Increased employee engagement: By providing real-time feedback to workers, the application can increase employee engagement and encourage them to take an active role in their own safety.

Technology Stack

Trusted and Proven Engagement Model

  • A nondisclosure agreement (NDA) is signed to not disclose any sensitive information revealed over the course of doing business together.
  • Our NDA-driven process is established to keep clients’ data and IP safe and secure.
  • The solution discovery phase is all about knowing your target audience, writing down requirements, and creating a full scope for the project.
  • This helps clarify the goals, and limitations, and deliver quality products & services.
  • Our engagement model defines the project size, project development plan, duration, concept, POC etc.
  • Based on these scenarios, clients may agree to a particular engagement model (Fixed Bid, T&M, Dedicated Team).
  • The SOW document shall list details on project requirements, project management tools, tech stacks, deliverables, milestones, timelines, team size, hourly/monthly rate cards, billable hours and invoice details.
  • On signing the SOW, an official project kick-off meeting shall be initiated.
  • Our implementation approach, ecosystem, tools, solutions modelling, sprint plan, etc. shall be discussed during this meeting.

Our Award-Winning Team

A seasoned AI & ML team of young, dynamic and curious minds recognized with global awards for making significant impact on making human lives better

Awarded Bronze Trophy at CII National competition on Digitization, Robotics & Automation (DRA) – Industry 4.0

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50+

AI & ML
Engineers

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40+

AI & ML
Projects for
reputed Clients

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5 yrs

in AI & ML
Engineering

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