Non-destructive fruit analysis for internal defect detection
Harness AI-powered MRI to revolutionize fruit quality control, classification, and sorting.
The cost of hidden defects
How inefficient sorting impacts profitability.
Undetected hidden defects have costly consequences: claims, lost sales, reduced profitability, increased operational effort for re-sorting, damaged brand reputation, and food waste.
Current fruit sorting methods face technological limitations and fail to detect key internal defects. Fruit size, stones, and variability often challenge these methods.
AI-powered MRI for precise and consistent fruit quality
Accurate internal defect detection and grading — with no damage to the fruit.
MRI-based fruit classification and sorting technology provides the following advantages:
Non-destructive and contactless
Detection of all internal defects
Radiation free
Differentiate between fruit classes (grades)
Accelerated MRI for precise and consistent fruit quality control
Discover the added value of MRI for non-destructive internal classification, grading, and sorting.
MRI visualizes the inside of any fruit without causing damage, precisely identifying hidden defects and impacts.
Unlike conventional techniques such as multispectral imaging or Near Infra Red (NIR), which face inherent technological limitations in detecting internal issues, our system provides unparalleled visibility.
This non-destructive capability transforms quality control, enabling precise classification.
Mango
Watermelon
Mandarin
Avocado
Watermelon
Scan any fruit and optimize your production line
Revolutionize fruit quality control with accelerated MRI.
Elevate fruit quality assessment for accurate classification, grading, maturity, ripeness, and sorting.
Why choose this solution?
Pioneering AI-powered MRI for the future of produce.
Orbem is a deep-tech company specializing in AI-powered MRI. The system visualizes inside any fruit without causing damage. Our fully automated solution helps you meet production throughput volumes. With a proven track record in poultry (read more – link to poultry page), and a dedication to transforming food production.
Discover how AI-powered MRI is revolutionizing fruit quality.
True non-destructive scanning for classification, grading, and sorting.
Our system utilizes Magnetic Resonance Imaging (MRI) and Artificial Intelligence (AI). MRI uses a magnetic field to map out the internal structure of the selected product (adapted from Katti et al., 2011). This imaging technology is safe for human use and leaves no traces behind. Then, our AI accelerates the scanning process and classifies and grades the product based on established metrics.
Our solution for the poultry industry, the Genus Focus, has revolutionized egg classification and is now present in ten installations across Europe. Due to the technology’s unrivaled technical capabilities, it is now also available to the produce sector to elevate fruit quality assessment through non-destructive classification and grading.
Seamless integration into the production process
Customized solutions to adapt to any existing line.
We integrate our solutions into your sorting line to offer a unique, fully automated solution tailored specifically to your needs. Get in touch to discuss how you can revolutionize your sorting and grading operations.
Discover how Orbem is transforming food production
Combating the 40% fresh produce waste challenge.
We support the UN Millennium Development Goals by reducing food waste. By accurately assessing fruit quality, the system:
Optimizes sorting and prevents the distribution of defective fruit
Opens up secondary use cases for fruits with slight defects, e.g., fruit juice
Extends shelf life by selecting fruits at optimal maturity
Improves supply chain efficiency and reduces transportation costs
Non-destructive scanning for any fruit
Improve quality control and reveal the value of each piece.
Unlock unprecedented insights into fruit quality for optimized classification, grading, and sorting, leading to increased profitability and waste reduction.
Johann Steinert
Director of New Markets
