ADVANCED COMPUTER VISION FOR REAL-TIME DEFECT DETECTION

Description

Robotic Arm for Packing with Producing and Maintaining Logistics Systems Using Automated Guided Vehicle (AGV).

Efficiently identifying and categorizing defective items is of vital importance, especially within production and assembly lines. For instance, shipping and e-commerce enterprises handle vast quantities of items every month through specialized robotic manipulators. The creation of a robust and reliable vision-based system for the real-time detection of defective items has the potential to significantly enhance efficiency and reduce costs across diverse industries. PANGEA is well-positioned to support the development of advanced computer vision systems capable of automatic detection of defected products in real-time.




Scope

Forklift in Warehouse

Data Collection and Preparation

  • Gather a large dataset of detected and non-defected items. If a large dataset is not available, synthetic generation of realistic defected items will be employed.

Machine Learning Model Development

  • Train a custom AI system tailored to specific industries, such as shipping or production lines.
  • Create models capable of automatically detecting defected items, whether they are boxes in the shipping industry or customized products in production lines.

Advanced Computer Vision Integration

  • Incorporate advanced computer vision algorithms and mathematical theories to enhance the accuracy and reliability of defect detection.

Integration with Robotics Manipulators

  • Explore the integration of the vision-based defect detection system into robotic manipulators, enabling real-time functionality and seamless collaboration within existing industrial processes.

Benefits

  • Enhanced Efficiency: The project will lead to increased efficiency by automating the defect detection process, reducing the need for manual inspection, and minimizing production line downtime.
  • Cost Reduction: Automated detection of defective items helps in reducing operational costs by minimizing the number of faulty products that pass through the production or distribution process.
  • Customization: Industries can benefit from customized defect detection systems tailored to their specific needs, whether it's for identifying damaged boxes in shipping or ensuring product quality in manufacturing.
  • Real-time Detection: Integration with robotic manipulators enables real-time defect detection, allowing for immediate action and process optimization.
  • Improved Quality Control: The project improves quality control, ensuring that only non-defective products are shipped or integrated into the assembly process.
Female production line worker holding thumbs up in factory hall.