Cherry sorting system with deep learning technology
Accurately grading cherries to meet consumer demands for high-quality fruit can be a challenge with traditional sorting methods. Issues like detecting edge cracks, cosmetic blemishes, and inconsistencies in manual quality control require advanced technological solutions.
Optimize cherry grading with deep learning
The InVision² with LUCAi® from TOMRA is an advanced cherry grading platform that leverages deep learning technology to maximize sorting precision and minimize fruit loss. Equipped with a high-quality pre-trained model library, LUCAi® ensures consistent accuracy in identifying complex defects such as edge cracks, pacman cherries, and open sutures. This system adapts seamlessly to varying crop conditions, maintaining high performance across different batches and seasons. With its user-friendly interface, the platform is easy to integrate into existing operations, reducing the need for extensive manual quality control. This minimizes operational costs and enhances productivity, making it suitable for high-volume cherry processing.
Benefits
- Unprecedented grading precision with deep learning models
- Reduces operational costs and increases yield
- Detects complex cherry defects accurately
- User-friendly interface for easy integration
- Consistent performance across different batches and seasons