Personal Protective Equipment Detection

Business challenges

Safety hazards: Workers who do not wear PPE are at a higher risk of injuries, which can lead to increased workers' compensation claims and potential liability for the company.

Reduced productivity: When workers neglect to wear PPE, it can lead to increased downtime due to injuries, which can reduce productivity and increase costs.

Non-compliance with regulations: Not wearing PPE can put the company at risk of non-compliance with OSHA (Occupational Safety and Health Administration) regulations and penalties, which can be costly.

Loss of reputation: Neglecting to wear PPE can be perceived as a lack of commitment to safety and can damage the company's reputation, potentially losing future business.

Decreased moral: When workers see their colleagues not wearing PPE, it can lower the moral of the team and create an unsafe working environment.

Increased training costs: When employees don't wear PPE, it can lead to increased training costs as more training may be needed to ensure compliance and safety.

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Solution Overview

Workplace injuries can result in both personal loss and financial loss for the company.

Safety protocols, such as PPE requirements, are often not followed, and traditional measures like safety training, manual monitoring, and safety billboards are not very effective in preventing violations.

OptiSol has developed an accurate computer vision intelligence model that can detect PPE violations, such as hard-hats, reflective vests, and goggles, at construction sites and other industries to improve workplace safety and compliance with regulations.

This deep learning-based computer vision solution detects and sends alerts when personnel are non-compliant, ensuring on-site safety.

Machine learning models using TensorFlow or Yolo can be trained using annotated data through ``transfer learning`` techniques.

These models can be optimized for use with hardware accelerators, such as Intel OpenVino or Nvidia TensorRT, to run on low-cost, low-power SBCs (Single Board Computers).

Business Impact

Improved Safety: Improves safety on the construction site, reducing the risk of injuries and accidents.

Increased Compliance: Helps to ensure compliance with safety regulations and industry standards, reducing the risk of penalties and fines.

Reduced Costs: Helps to reduce costs associated with injuries, accidents, and non-compliance.

Increased Productivity: By reducing the risk of injuries and accidents, the computer vision solution can help to increase productivity by minimizing downtime and allowing workers to focus on their tasks.

Improved Reputation: By demonstrating a commitment to safety and compliance, the computer vision solution can help to improve the company's reputation and attract new business.

Scalability: Easily scaled across multiple sites, improving safety and compliance across the entire organization.

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Sample Videos

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

5yrs

in AI & ML
Engineering

40+

AI & ML
Projects for
reputed Clients

50+

AI & ML
Engineers

Awarded as Winner among 1000 contestants at TechSHack Hackathon

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