Detection of Personal Protective Equipment

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Technology Stack

Problem Statement

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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.

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

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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.

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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.

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

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Solution Overview

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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.

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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).

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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.

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

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

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Business Impact

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

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

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

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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.

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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.

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Testimonials of Our Happy Clients

Rick Tigges

Rick Tigges

CFO, Bemodo

"They are very responsive and able to shift focus quickly as we have needed it for business reasons."
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Ryan McClellan

CEO, iLookin.com, LLC

"They [OptiSol Business Solutions] have been very friendly and they kept up with the work. They did the job as we had discussed and as everything was arranged."
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Chris Gordon

CEO, Wait for me

“I can't speak enough about how pleased I am with their process; it was seamless and efficient.”
Oli Robinson

Oli Robinson

CEO, Rule:Fresh

"What impressed me the most was their willingness to go above and beyond what was asked."
Dan Talken

Dan Talken

Founder, My Equipment Library, LLC

"We're constantly impressed with their speed and quality of the development that they achieve on a consistent basis."
Ken Kisner

Ken Kisner

Molecule Corp

The best part about working with OptiSol Business Solutions is their commitment to being readily available to their partners. They’re even willing to work into late hours of the night depending on time differences. The solution they produced has already doubled efficiency levels.

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