TOMRA LUCAi technology for the InVision2 grading platform

The LUCAi technology for the InVision2 grading platform allows users to optimise pack-out, increase yield and efficiencies with cherry packing operations.

The platform features TOMRA’s Deep Learning technology, which uses pre-trained models to teach computers how to process data, such as complex patterns in photos, to achieve grading precision. This technology has also been applied to blueberry and apple applications — on the KATO260 and most recently on the Spectrim X platforms respectively.

The platform allows users to process cherries at a higher speed (+15% kg/h/lane) while optimising defect sorting. Another advantage is its user-friendly interface, which makes it easy and quick for operators to adapt to the technology.

The solution allows packhouses to maximise pack-out results, enhancing pack quality and consistency while minimising waste and increasing premium yields. It can identify edge cracks, half cherries, open sutures, cosmetic blemishes and stem pulls. It also improves detection of spurs, cracks and all defects around the stem area. It has been trained on vast amounts of data collected from cherry growers across the world. As a result, it is able to recognise patterns on the cherries regardless of their varieties, quality and entry conditions, preventing accidental downgrades of good fruit while eliminating slowdowns due to manual grading of bad fruit.

The advanced software allows the grading platform to process high throughput, resulting in higher productivity, while maintaining consistency across seasons, batches, varieties and operators.

The platform comes ready to perform with pre-trained models and continues to evolve as it collects more data when operating at the user’s operation.

The LUCAi for InVision2 grading platform will be available on the market in the Southern Hemisphere for the 2024 cherry season, with other regions to follow.