Work through the product, the image and the decision before choosing the equipment.
Use the addaScan application library to compare vision inspection tasks before planning a station. Choose the fault you need to catch, then review camera views, line decisions and validation steps. Photographs and illustrative engineering scenarios explain the methods. Each guide connects you to scope, cost factors and assessment with our Johannesburg team, serving South Africa.
114 application references · Choose a task below
Compare reading, expected-content checks and print defects on the actual package.
Plan the wider inspection: Label and print checksDate codes and expected content
A label, a cap and the correct product are separate decisions. Compare camera coverage, product variants and sample challenges before planning the checks on your line.
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Compare the character result with missing-print, extra-print and position checks. See how a carton can fail even when some digits remain readable.
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A restricted digit set can favour traditional OCR. Explore the image-region reduction, separate outline check and recipe changes used in this cap application.
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Test glare and film distortion before choosing OCR or expected-code comparison.
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Locate the printed face before labelling, then check whether bottle slip affects the final position.
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Compare aligned defect-model outputs with an independent check of the expected date.
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Separate print quality from serial identity, then control rejected labels and their replacements.
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See how curved pipe marks change character visibility and the tracking of a faulty length.
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A sachet date code can be readable on a flat sample and disappear into a fold on the packing line.
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Wine-bottle label verification needs to match the front and back labels to the active bottle recipe.
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Classify flat-pouch front and back faces while keeping edge-on or ambiguous packs unresolved. Validate new artwork and control the downstream orientation action.
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Match meat price-label fields to the current scale transaction. Detect previous-pack labels, duplicate prints and unstable or timed-out weights.
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Verify fruit-carton markings against the active packing record. Detect readable old-job marks and manage weak print or mixed cartons during changeover.
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Read moulded tyre specifications from height profiles and compare the full string with the order. Separate this task from label and manufacturing-date checks.
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Read complete steel-slab identifiers through scale and uneven marks. Reject shared-prefix matches and retain the evidence behind any manual correction.
Read the application →Separate visible assembly checks from hidden sealing and material properties.
Plan the wider inspection: Fill, closure and seal scopeEmpty containers and preforms
Distinguish a missing liner from a present but reversed insert using the material response.
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Compare the visible liquid boundary with bottle position, foam and label coverage.
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A short shot removes material from a moulded cap, while flash adds material outside the intended contour.
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PET preform inspection needs different views for a dark speck in the visible wall and a chip at the neck finish.
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Returnable glass bottles need inspection after washing and before filling.
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A yoghurt cup can have a lid present and still have an unacceptable visible seal margin.
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Food trapped in a tray seal area may be difficult to distinguish from the tray, lid film or normal product visible underneath.
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Camera inspection of a metal can end can check visible edge irregularities, lid condition and agreed external seam features.
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Check crown-cap seating against the bottle finish. Separate bottle lean from cap tilt, plan side-view coverage and define uncertain-result handling.
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Check whether a bread-bag clip captures the gathered neck. Compare engagement views, post-closure handling and samples that expose false acceptance.
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Inspect stitched maize-meal bag mouths relative to the folded edge. Separate continuous thread from effective closure and define re-sewing verification.
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Check carton flaps and bulging before palletising. Compare shape with the active format envelope and keep unreadable geometry separate from product identity.
Read the application →Start with the defect, surface texture and illumination before selecting an algorithm.
Plan the wider inspection: Surface defect inspectionLighting for the visible defect
Separate visible grinding damage from normal tool texture and a dimensional flatness requirement.
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On aluminium extrusions, normal brushed texture can resemble a scratch and a real scratch can disappear when the light changes direction.
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Vision can assess a burr when the unwanted edge feature is visible with enough contrast and image detail.
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Compare native-resolution defect detail with cropping, tiling and downsampling choices.
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Evaluate each weld region and normal texture that resembles a fault.
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Locate the weld, pin and cleaning regions before classifying similar-looking surface features.
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Glass cover inspection often needs more than one lighting condition because a scratch, stain and edge chip produce different optical signals.
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Distinguish visible particles from bubbles in bottled beer. Define recipe-specific sediment rules, optical coverage and recovery when foam hides the liquid.
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Inspect bakery shape and colour against recipe-specific references. Separate touching rolls from oversized items and validate changes in lighting or toppings.
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Inspect returnable beverage-crate pockets for residue and damage. Separate wet surfaces, broken ribs and invalid depth before accepting the crate.
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Inspect stamped panels for visible cracks and wrinkles with qualified lighting and coverage. Separate reflections, normal draw marks and unobserved regions.
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Inspect O-ring nicks and raised rubber before assembly. Separate geometry from dark appearance and validate full ring coverage without distorting the part.
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Check visible lubricant coverage on O-rings with qualified illumination. Separate dry regions from reflection changes and record coverage after reapplication.
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Inspect visible insulation damage on copper windings. Distinguish intended exposed terminals from damaged protected turns and record unobserved surface regions.
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Detect adhesive overflow into motor assembly clearances. Check the bead and no-adhesive regions separately, then verify both after cleaning or rework.
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Inspect appliance indicator LEDs against the commanded test sequence. Distinguish reflections, exposure artefacts and missing acknowledgements from valid light states.
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Distinguish scorch marks from acceptable texture on moulded socket faces. Validate new resin or cavity appearance and control model changes with defect references.
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Inspect circular valve-seat weld geometry with angular coverage and a parent-surface datum. Separate local defects from runout and invalid profile segments.
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Distinguish coating defects from accepted orange peel. Qualify reflected-pattern or intensity methods for actual gloss and revalidate pigment or finish changes.
Read the application →Inspect printed identity or coating condition while preserving product and material-position references.
Plan the wider inspection: Continuous-material inspectionCarton artwork checks
Use the physical part as the datum so print alignment does not conceal misplaced symbols.
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On a roll of printed labels, inspection needs to follow each repeat while preserving the relative position of the colour layers.
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Transparent film can carry black specks, holes and wrinkles that respond differently to illumination.
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Check the smallest artwork difference between similar blanks before folding hides it.
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Evaluate subtle coating defects on both faces and track the affected material section.
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Track packaging-web splice tape to the correct downstream material length. Preserve splice position through stops and resolve rewind or encoder loss.
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Diagnose stretched line-scan images on printed PVC webs. Compare material displacement with line acquisition before changing print-defect thresholds.
Read the application →Decide when presence is sufficient and when calibrated geometry or height is required.
Plan the wider inspection: Calibrated dimensional measurementAssembly verification scope
Compare a presence image with the depth measurement needed to judge rivet seating.
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Separate diameter and spacing measurements from missing-hole and obstruction checks.
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A fastener silhouette can show visible thread interruptions, pitch features and selected outer dimensions when the part is correctly presented.
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Online shaft measurement needs a clear axis, stable presentation and a calibrated view of the required diameters, steps and lengths.
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A glue bead can be present but broken, too narrow in a region or displaced from its intended path.
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Height information can help separate PCBA solder-joint conditions that look similar in a two-dimensional image.
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Two 3D views can extend keyboard coverage, but a stitched image is useful for inspection only when both views share a valid coordinate reference.
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A packed kit can contain the correct number of pieces and still contain the wrong item or a reversed component.
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Compare each rack position with the expected occupancy and cap-colour pattern.
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Track tea tins into presentation-box pockets without duplicate robot tasks. Reconcile the observed tin, pick acknowledgement and destination after an interruption.
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Check that a straw is attached to its drink carton, not merely visible nearby. Locate the attachment zone and plan reinspection for glare or occlusion.
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Detect nested double food trays before filling. Compare rim separation and height evidence while keeping warped singles and invalid readings distinct.
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Measure PET bottle-neck ovality and sealing-face geometry with a defined datum. Separate pose errors, transparent-surface returns and invalid height data.
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Evaluate bottle-base standing-ring flatness with controlled support and full ring coverage. Separate bottle lean, local distortion and fixture effects.
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Check pump-dispenser dip tubes for insertion and visible length. Separate a loose nearby tube from an assembled joint and resolve hidden connections.
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Measure label die-cut position against the artwork datum. Separate cutter offset from whole-web movement and verify the result after tool adjustment.
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Measure slit-film width separately from edge wander. Track both edges in the same material coordinates and treat curled or missing edges as unresolved.
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Measure folded-carton overlap and raised edge steps as separate features. Use a carton datum and verify geometry after rework or a pose change.
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Compare static and conveyor DWS for factory dispatch. Keep carton identity, weight and dimensions together and recover safely from stale measurements.
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Locate a usable print face on mixed-height packs. Check pose and clear area before sending printer coordinates, then validate movement and readback failures.
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Reconcile the physical pallet layer before restarting palletising. Resolve missing cartons, pending placements and unknown formats before granting motion permission.
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Select one top-layer woven bag before depalletising. Reject grasp regions spanning bags or lower layers and reacquire the stack after a failed pick.
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Check cast housings for missed machining operations. Use a variant-specific feature list and keep obscured or missing views separate from completed work.
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Measure connector-pin height and coplanarity with per-pin validity. Define the datum, resolve rear-row occlusion and validate registration between views.
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Check wire-harness colour order and connector seating by position. Handle rotated connectors, striped insulation and hidden latches after rework.
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Verify retaining-hook engagement in gear assemblies. Locate the hook relative to its slot and distinguish an adjacent hook from a completed connection.
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Verify seat-rail components against the active variant. Detect complete assemblies from the wrong order and require every specified view after rework.
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Match stator and rotor variants before assembly. Validate the approved pairing rule and invalidate stale results after a part replacement or rule change.
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Verify condenser-tube layouts across two camera views. Register shared positions, prevent double counting and invalidate results when a camera shifts.
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Align hob glass to its frame using physical assembly datums. Separate decorative print from glass geometry and verify position before adhesive placement.
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Locate a usable physical edge on the top timber board. Separate grain from boundaries and validate edge length, layer identity and handling-reference quality.
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Measure tile bow and edge steps from a defined support reference. Compare valid profiles without hiding corner deviation in a whole-surface best fit.
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Measure magnet thickness with opposed profiles in one calibrated coordinate system. Separate vertical movement, timing errors and invalid surface returns.
Read the application →Compare optical coverage, code identity and association with the correct part or test record.
Plan the wider inspection: DPM reading and traceabilityPallet identity and dispatch
Compare panoramic coverage and part association using a documented Datalogic reference.
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Reading every visible barcode is not enough when parcels travel side by side.
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A readable pallet label does not establish that the pallet belongs to the dispatch order.
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Compare whole-tray coverage with the pixel detail available at the smallest corner code.
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See why the optical path behind a through-hole code matters as much as the reader.
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Combine glare control with ordered output for eight chip positions in one tray event.
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Match frame acquisition to the angular interval in which the curved mark is visible.
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Test polarisation, tab curl and machine clearance together.
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Distinguish successful decoding from acceptance of the correct cell identity by MES.
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Keep robot position, the selected cell code and its voltage result in one event.
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Bind a readable bag code to its physical tray position, including absent bags and duplicates.
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Start with the smallest physical mark and optical contrast in this IVYSUN wafer reference.
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Verify a complete position-to-code set rather than accepting any collection of readable codes.
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A PCB panel may carry codes on either face, so upper and lower readers need to work as one board event.
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Test reflective film and inkjet quality before binding the read to the current product.
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Compare mark contrast and end-face presentation in this IVYSUN reading application.
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Read laser QR codes on beverage-can pull rings. Control glare, identify the correct symbol role and keep rereads associated with the same can.
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Read the designated permanent crate ID after washing. Reject misleading old labels and validate rereads without creating duplicate crate transactions.
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Choose scan coverage from permitted food-carton label faces. Compare controlled presentation with bottom-view access and validate carton-to-code association.
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Confirm the actual parcel chute after sorting. Associate arrival events with the command and handle bounces or close-spaced parcels without duplicate confirmation.
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Map pallet-gate reads to visible carton positions. Detect duplicate reads and unresolved labels without confusing a pallet SSCC check with carton-level coverage.
Read the application →Distinguish items visible in one image from complete packs and unique moving-product counts.
Plan the wider inspection: Presence and counting scopeComplete-pack checks
Challenge empty positions, tilted cartons and case flaps that hide required contents.
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Check the accessory in each packaging lane before the next operation hides it.
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Separate detections in an image from unique capsules crossing a counting boundary.
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Counting a rebar bundle starts with the visible ends, not the outer bundle shape.
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A cement-bag counter must count physical bags crossing the dispatch point once each, including stop-start motion and closely spaced bags.
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Check egg-tray occupancy pocket by pocket before closing. Separate empty and obscured positions, detect misplaced eggs and verify reworked loads.
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Detect double loads and overhang on sorter carriers. Verify physical item count and carrier-envelope clearance independently of a readable barcode.
Read the application →addaScan, based in Johannesburg, designs and integrates vision inspection systems for manufacturers across South Africa. Our automated inspection solutions cover label verification, date code inspection, surface defect detection and dimensional measurement, with each station developed around your products, inspection requirements and production line.
Compare HIKROBOT with other vision approaches against the views, tools and controls your application requires.
Separate cameras and lighting from handling, software, interfaces and validation work before comparing budgets.
Plan sample trials, FAT, site interfaces and the handover responsibilities around the faults and line actions that matter.
The addaScan envelope verification and sorting project passed factory acceptance testing. Its identity matching, duplicate and mismatch checks show how inspection decisions connect to handling and line acceptance.
Describe the product, the fault and how it moves through the line. We can scope the image and integration work needed for a sample assessment.