Injury Prevention and safety in the Manufacturing Industry

Business Impact

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For quite sometime, Artificial intelligence has been popular in the healthcare sector.

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The adoption of AI& ML in preventing industrial accidents can take different shapes based on the industry and purpose it serves.

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Leveraging computer vision and deep neural networks in Preventive healthcare can reduce accidents and prevent serious health issues.

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AI-driven adaptive solutions can solve critical challenges in preventive healthcare and deliver personalized interventions that cause health behavior conditions like musculoskeletal disorders.

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We assisted a startup in developing a mobile application with an AI technique that analyses human posture images and gives valuable insights concerning postures that heighten the risk of injury.

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In case a worker tries to carry a heavy object with improper posture movement,the actual output score shows a risk of Musculoskeletal disorders (MSD) and sends a warning signal immediately in the mobile application

Technology Stack

Solution Approach

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

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This app allows the users to take an image or a video of someone doing at their workstation/desk and immediately assess their posture and generate ergonomics scores to help prevent injuries.

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This platform is built with the latest advances in Pose Estimation models.

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

Awarded as Winner among 1000 contestants at TechSHack Hackathon

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