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How Quinnox Enhanced Shop Floor Safety with AI for a Leading Fragrance Company

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Overview

The client, a leading fragrance company, operates factories globally in industrial environments where safety is a critical concern. They face challenges in ensuring strict adherence to safety protocols, such as the proper use of personal protective equipment (PPE) and preventing hazardous incidents like liquid spills on the shop floor. 

Business Need

  • The client sought to address significant risks arising from non-compliance with safety measures, including: 
  1. Threats to personnel safety and non-compliance with safety regulations. 
  2. Operational disruptions and productivity losses. 
  3. Financial penalties, production losses, and environmental hazards caused by chemical spills. 
  • The company aimed to deploy AI-driven solutions to enhance safety adherence and minimize risks across its factories. 

The Quinnox Solution

  • Developed on Azure, utilizing a hybrid on-premises and cloud architecture to ensure maximum scalability and reliability. 
  • The system leverages advanced multimodal models for video analysis and employs real-time computer vision frameworks, such as YOLOv8, to detect anomalies like PPE non-compliance and liquid spills in factories. 
  • Detected anomaly data is stored for historical analysis and combined with productivity metrics to generate insightful compliance reports and evaluate the AI model’s performance. 
  • The solution triggers automated notifications via email or Microsoft Teams, providing managers with real-time updates on safety adherence or incident alerts. 

Tech Used: Python, Azure AI Vision, GPT-4o Vision 

Business Benefits Delivered

1. High Model Accuracy: Achieved an F1 score of 91%, ensuring reliable detection and classification. 

2. PPE Monitoring Outputs: Accurately identified personnel compliance with PPE requirements, classifying them into: 

  • Hard-Hat / No Hard-Hat 
  • Safety Vest / No Safety Vest 
  • Goggles / No Goggles 

3.Liquid Spill Detection Outputs: Successfully detected shop floor conditions, classifying them into: 

  1. Liquid Spill / No Liquid Spill 

This enhanced safety compliance and improved operational efficiency. 

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