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Aweta UltraVision
Hyperspectral imaging and 3D apple models connected with packhouse control.
What it does
Aweta UltraVision combines hyperspectral imaging and four cameras with deep learning to assess apple defect severity and assign quality categories. It operates within Aweta's tailored sorting and packing systems, with FlowMaster controls and separate internal-quality options.
Who it is for
Apple packhouses designing integrated grading and packing workflows.
What stands out
- Hyperspectral imaging and 3D fruit representation
- Deep-learning defect-severity classification
- Configurable quality categories and line control
Limitations to consider
- Inscan Pulse internal inspection is a separate sensor system.
- AFS Sense firmness scope is avocados/mangos, not the apple feature being compared.
Integrations & connections
Tasks it can help with
Sources & verification
This profile is based on vendor documentation, checked Oct 24, 2026. It is not a hands-on review or a performance benchmark. Unknown details are marked explicitly.
Current apple UltraVision, handling, internal-sensor and software scopeVision AI, Inscan Pulse and AFS Sense distinctionsSuggest a correction