Dual Sorting Systems for Size and Integrity

To meet diverse market demands, I designed two automated sorting systems: one for size-based categorization and another for quality differentiation, both optimized using AI-driven automation.

Key Contributions

• Size-Based Sorting:
  • Developed an automated system to classify products into large and small categories using sensor-based technology.
  • Integrated predictive models to dynamically adjust sorting thresholds based on real-time production requirements.
• Integrity-Based Sorting:
  • Deployed computer vision models to detect structural anomalies, ensuring efficient separation of cracked and uncracked items.
  • Automated downstream packaging processes by linking sorting outcomes to the packaging system.

Impact

• Boosted the production line’s efficiency and scalability from 2.5 tons to 17 tons daily.
• Enabled diversified packaging strategies for different market segments, including export-quality products.
• Demonstrated the effective application of AI and automation in high-volume manufacturing.