
Food & Beverage
Industry overview
Typical control points on food lines: product shape, size and colour, foreign material, pack integrity, label and date code. Natural products differ a little every time; the measurement accepts that variation inside the tolerance and removes what falls outside it.
top-view imagingsize gaugingcolour measurementautomatic rejection
21
Applications
Food & BeverageILLUSTRATIVE SIMULATION

- 01 Infeed
- 02 Acquire
- 03 Analyse
- 04 Sort
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Products leaving the oven enter the inspection cabinet on a hygienic belt.
- Diameter
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- Colour deviation
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Food & Beverage
Applications
Food Products05
Artificial intelligenceAI quality control and classification for meat and packaged products
AI classificationseal inspectionlabel inspection
Anomaly inspection for wafers, chocolate bars and confectionery
line-scanreference comparisonair-jet rejection
Anomaly and packaging inspection on an ice-cream production line
dome lightshape analysiscounting
Foreign-particle analysis in bottled liquid
spin-and-stopbacklightframe differencing
Pulse and legume sorting
line-scancolour classificationair-valve ejection
Beverage & Filling04

Pull-tab inspection on beverage cans
laser profilelid referencetab plane
Straw presence check on beverage cartons
side viewdirectional lightpresence check
Height, diameter and verticality gauging of bottles from silhouette
silhouettebacklightedge gauging
Empty-bottle and foreign-object check in returnable crates
height mapslot matrixcolour image
Bakery & Ready Meals03
Research-informed advanced applications03
Artificial intelligenceProduct and empty-tray area segmentation for food portions
research-backed conceptraw image / analysis separationpixel / instance mask
Packing cell robotically placing product groups into open cartons
production lineitem identitygrip and receipt
Delta-robot arrangement of moving products into packing nests
production lineitem identitygrip and receipt
Requirement-led project concepts06

Independent work-order and packaging code reads matched by product identity
Requirement-led conceptMultiple viewsPLC and evidence record
Label fields, print and readability verification on vacuum-packed meat
Requirement-led conceptControlled opticsPLC and evidence record
Artificial intelligenceSeparating fixed surface marks from internal particles in filled glass bottles
Requirement-led conceptControlled opticsPLC and evidence record
Label presence and pusher item tracking across multiple bottle formats
Requirement-led conceptMultiple viewsPLC and evidence record
Geometry-controlled colour discrimination of reflective metal bottle caps
Requirement-led conceptControlled opticsPLC and evidence record
Artificial intelligencePosition-linked cream-nozzle skipping for missing or burnt biscuits
Requirement-led conceptControlled opticsPLC and evidence record
Scenes are illustrative simulations; they are not customer references or performance guarantees.
Vision system design
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We test your sample in our laboratory and report on resolution, optics and lighting selection.


