Diameter and weight classes
Product measurements can be evaluated against configured sizing and grading ranges.
VISION SORT AI
Imaging, measurement and routing.
One decision chain.
Vision Sort AI | brings visual and physical data together under the correct product identity. Quality criteria create a classification decision that is transferred to automation and applied at the correct outlet.
Color, surface and defect criteria
Controlled images support product-level external quality and defect evaluation.
Product-level routing
Each decision remains connected to the product until it reaches the assigned physical outlet.
Configured around the product.
Engineered around the facility.
A fruit sorting machine can combine sizing, weighing and visual quality inspection rather than treating them as disconnected processes. Product behavior, feeding rhythm, inspection points, target capacity, outlet structure and site conditions define the final system.
Fruit sorting machine, fruit grading machine, automatic fruit sorter, fruit sizer, optical fruit sorter and packhouse sorting equipment are common terms for this solution family. The correct term depends on whether the process emphasizes size, quality, defect inspection or physical routing.
As a Konya, Türkiye-based fruit sorting machine manufacturer, novaris develops mechanical design, industrial imaging, Vision Sort AI software and automation together. Apple Edition is active; Pear Edition and Peach Edition are product-specific development directions built on the shared Vision Sort AI architecture.
Post-harvest and packhouse terminology
Fruit grading line, fruit sorting line, packhouse grading equipment, post-harvest fruit sorting and optical grading can describe different scopes within the same broader processing investment.
CONFIGURABLE SYSTEM ARCHITECTURE
No single line layout.
The process defines the system.
Product type, inspection scope, capacity, number of outlets, automation interfaces and physical layout are evaluated together.
Physical product behavior
Feeding, transport, rotation and alignment requirements are defined for the selected fruit and process.
Size, weight, color and defects
The data types and quality criteria are selected according to the Edition and approved project requirements.
Capacity, outlets and integration
Line count, routing structure and automation interfaces are engineered around the facility.
FREQUENTLY ASKED QUESTIONS
Questions that clarify
the system scope.
Useful terminology helps people find the solution; product and process requirements define the actual line architecture.
What is the difference between fruit sorting and fruit grading?
Sorting describes routing products into outlets or classes. Grading describes the size, weight, appearance and quality criteria used to create those classes. A single system can perform both.
Which data can a fruit sorting system use?
Depending on the product and Edition, the decision can include imaging, external defects, color, diameter, weight and configured quality recipes.
What is a fruit sizer?
A fruit sizer separates products by physical size or weight. In a broader Vision Sort AI system, sizing can be combined with visual quality and defect criteria.
Is Vision Sort AI limited to apples?
Apple Edition is the active product. Pear Edition and Peach Edition are product-specific development directions built on the shared Vision Sort AI architecture.
Can the line layout be customized?
Yes. Line count, inspection points, capacity, sorting outlets and physical layout are defined around the production process and site.
Plan your fruit sorting and grading system with novaris.
Contact us to define product, capacity, analysis points, quality classes and facility integration requirements.