Line solution

Detect wrong variants and mixed machined parts before release

// Short answer

Machined part mix-up inspection compares visible features or a readable part mark with the variant expected by the work order. It can distinguish left and right parts, different hole patterns or visible end features before assembly or packing. The inspection needs controlled presentation and an approved variant master. Parts that are visually identical but differ in alloy, heat treatment or an internal feature require another identity or test method.

// At a glance

The station in three lines

Inspection point: After the operation that creates the visible feature; before it is hidden.
Release: PLC quality hold or confirmed rejection, defined for this line.
Validation: Your good, faulty and borderline production samples.

// Fit & limits

What this station will not do, and what it needs

What it will not do

Material identity Ordinary images cannot reliably establish alloy or heat-treatment state.
Bulk sorting This scope assumes presented parts; random bulk feeding and separation are separate engineering tasks.
Unseen difference If variants look identical from the inspection views, add another identifier or inspection method.

What makes it work

Variant matrix List every pair that could be confused and its distinguishing feature.
Data ownership Define who approves the master and which system supplies expected identity.
Physical tracking Define loading order, tray position and quarantine access.

// On South African lines

Detect wrong variants and mixed machined parts before release: where the check belongs

A batch label identifies the container, not every component inside it. After rework, manual loading or a variant change, a wrong part can enter the correct tray. Decide where identity becomes uncertain and inspect at that transfer. A feature check and a DPM read answer different questions: visible shape confirms what can be seen, while the code supplies an identifier that must be checked against trusted production data. Conflicting evidence should produce a hold, not an automatic substitution.

This is an engineering scope for sample assessment, not a report of a completed customer installation. The sources below support measurement, imaging or test-method principles; station performance must be established on your products.

What the line reports, and what the station checks

How faults are described on the line and what a station checks
What the line reports	What a station checks	Where it stops
Left and right parts are mixed	Compare distinguishing geometry in a defined orientation	Mirror-image views require controlled loading and an explicit rule.
Similar housings share the same outline	Check variant-specific holes, slots or end features	A feature hidden by the fixture cannot distinguish the variant.
The tray label is right but the part is wrong	Associate each located part result with its tray position or cycle	A container code alone does not prove each part identity.
The shape passes but the code does not match	Compare the decoded identifier and expected work order	Do not overwrite the work order from whatever code was read.

// The complete solution

Hardware, software and installation

[Schematic]Plan view, not to scale

Swipe sideways to see the whole drawing →

[1]: Trigger

[2]: Lighting

[3]: Image

[4]: Hold / reject

[5]: Confirm

Hardware

Hardware for this station
Component	HIKROBOT example	Role in this station
Camera	HIKROBOT smart camera or area-scan system	Capture the distinguishing features of the presented component.
Lighting	Controlled reflected or transmitted light	Preserve contrast across finish and orientation changes.
Optional reader	HIKROBOT DPM-capable reader selected by sample test	Read the existing mark where serial or batch identity is required.
Handling	Indexed tray or fixture and reject/hold route	Associate the result with the correct physical component.

Software and vision tools

Software and vision tools used in this station
Tool or software	What it does here
Expected identity	Obtain the selected part family and work order from approved production data.
Visible match	Check explicit differentiating features instead of only a broad similarity score.
Code match	Where used, validate syntax and compare the decoded identity with the expected record.
Exception handling	Quarantine unknown, conflicting or unreadable identities with a reason code.

Installation and integration

Define the inspection contract

Agree the defect/feature list, acceptable variants, reference samples, failure response and excluded checks.

Establish optical access

List every pair that could be confused and its distinguishing feature. Define who approves the master and which system supplies expected identity.

Connect the quality decision

Define loading order, tray position and quarantine access. A result is valid only for its own part or pack cycle.

Control changes

Bind the program and inspection limits to the authorised product revision; record who changes them.

Commission on the real line

Repeat the challenge set under the agreed production conditions, then check cleaning, restart, bypass and rework handling.

// Budget and scope

What determines the station quotation

The optical test and integration survey define the scope before a rand budget is issued.

No numerical budget is assigned to this scope before optical feasibility and the handling/PLC requirements are defined. A shared camera model or similar product does not establish the cost of this complete station.

Quotation inputs for this station
Cost driver	What changes the scope	Information needed
Variant coverage	Number of visible distinguishing features and views	Variant matrix and real parts
Traceability	Code reading and production-system interface	Example identifiers and field definitions
Handling	Tray indexing, physical quarantine and rework	Material-flow diagram

Compare the scope with the cost guide. The quotation states its price date, VAT treatment, installation, commissioning and exclusions.

// Related technology

Which technologies this scenario uses, and why

The technologies behind this station, how much each matters here, and where each is explained in depth.

Technologies used in this scenario and their relevance
Technology	Role	Why it matters in this scenario	Read more
Presence detection and counting	Core	Supports the machined part mix-up inspection task within the stated viewing and acceptance limits.	Presence and counting
Code content matched to PLC, MES or WMS data	Core	Supports the machined part mix-up inspection task within the stated viewing and acceptance limits.	Carton and pallet verification
Direct part mark (DPM) reading	Supporting	Supports the machined part mix-up inspection task within the stated viewing and acceptance limits.	DPM code reading
PLC link and reject with confirmation	Supporting	Supports the machined part mix-up inspection task within the stated viewing and acceptance limits.	PLC and reject integration

// Acceptance

How the station is proven before handover

Every station is accepted on your products, against numbers agreed in writing before the build. How we deliver →

Confusable pairs

Challenge each similar pair in both directions; include unknown variants.

Data faults

Test wrong work order, unreadable mark, duplicate identity and disconnected data source.

Restart and rework

Clear stale results, identify partly processed trays and require a controlled reinspection.

Evidence and handover

Record the challenge set, outcomes, recipe revision, inspection conditions and unresolved limits. Agree false-reject and missed-defect targets before building; no universal performance figure is assumed.

// FAQ

Questions about this station

What samples are needed for this inspection?

List every pair that could be confused and its distinguishing feature. Define who approves the master and which system supplies expected identity. Include acceptable production variation and borderline failures, not only ideal parts.

Can the camera cover every defect?

Ordinary images cannot reliably establish alloy or heat-treatment state. This scope assumes presented parts; random bulk feeding and separation are separate engineering tasks. The agreed scope lists what is visible and what needs another method.

Can this be integrated into an existing line?

Assess optical access, available space, triggers, PLC signals and a safe physical hold or reject route first. The scope covers a new inspection station; it does not assume repair or takeover of an existing third-party vision system.

How is the station price established?

The sample study defines views and optics; the site survey defines handling, enclosure, PLC integration and validation. The quotation states the rand amount, price date, VAT treatment and exclusions. No transferable fixed price is implied.

Sources

HIKROBOT VisionMaster (Vendor tool scope, verified 25 September 2026 in the source ledger. Tool availability is not proof of performance on your products.)
NI: A practical guide to machine vision lighting (Lighting principles cited in the site lighting guide, checked 24 September 2026. Application depends on material and viewing geometry.)

Machining →Read direct part marks →Verify fitted components →Verify machining operations →Prepare inspection samples →From sample study to acceptance →All line solutions →

More line solutions in automotive and engineering:

Assembly error-proofing →Tyre codes →Fasteners and turned parts →Glue and sealant beads →Machined part dimensional inspection →Machined hole and feature inspection →Machined part burr inspection →

// Next step

Send us your products and the fault you want caught

Describe the line, the products and the fault. We test on your good and faulty samples and reply with a feasibility note and a budget.

Start an assessment