A novel, non-destructive approach for real-time detection of starch gelatinization using YOLO-based deep learning models

Key Points

• This research aims to develop a non-destructive method for detecting starch gelatinization in real-time.
• Utilized YOLO deep learning models for image analysis.
• Developed a vision-based non-destructive detection system.
• Conducted real-time testing of starch samples for gelatinization.
• Successfully identified starch gelatinization with high accuracy using the YOLO model.
• Achieved real-time detection capability, improving efficiency in food processing.