Intelligent Sorting and Candling System

I developed an AI-powered sorting and candling system to automate quality control processes by leveraging computer vision and machine learning for precision inspection and categorization.

Key Contributions

• Candling Using Machine Vision:
  • Designed a system to identify internal defects, such as cracks, using computer vision algorithms.
  • Leveraged real-time imaging to enable rapid and accurate quality assessment.
• Intelligent Sorting:
  • Implemented deep learning models to classify items based on quality attributes.
  • Integrated feedback loops to continuously optimize sorting decisions and improve efficiency.

Impact

• Reduced dependency on manual inspection, significantly improving accuracy and reliability.
• Enabled real-time sorting for a 17-ton daily output, streamlining production processes.
• Elevated quality standards for both local and international markets, ensuring compliance with stringent regulations.