Detection of Personal Protective Equipment

Sample Videos

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.

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.

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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