Visible burr inspection on metal parts
Vision can assess a burr when the unwanted edge feature is visible with enough contrast and image detail. A raised feature may remain inside the silhouette.
Burr inspection with machine vision looks for unwanted visible material at specified edges or hole mouths after machining or deburring. Backlighting can reveal a protruding outline; directional lighting can expose an edge that blends into the surface. Oil droplets and attached chips must be included in the validation samples because they can resemble burrs. Hidden internal edges and burrs below the validated visibility limit need another inspection method.
A deburring operation changes an edge, but a shiny edge is not automatically a good edge. Specify which edge zones matter and how the unacceptable condition is defined by the drawing or customer standard. Decide whether loose chips trigger cleaning and reinspection or immediate quarantine. Imaging before cleaning may be useful for process feedback, but it is a different condition from inspection after washing and drying. The station must be validated at the point where it will actually operate.
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 | What a station checks | Where it stops |
|---|---|---|
| A burr remains on an outside edge | Inspect the silhouette against a controlled background | The edge must be exposed to the camera and light. |
| A hole mouth has residual material | Use directional illumination and a located inspection region | The camera cannot see around an internal corner. |
| Oil droplets cause alarms | Include oily good parts in the reference and challenge sets | Do not raise the threshold until real burrs disappear. |
| Loose chips look like attached burrs | Define a clean-and-reinspect route or quarantine both | An image may not reliably distinguish attachment strength. |
Swipe sideways to see the whole drawing →
| Component | HIKROBOT example | Role in this station |
|---|---|---|
| Imaging | HIKROBOT area-scan camera with suitable optics | Resolve the specified edge and its surrounding reference region. |
| Backlight | Uniform transmitted light | Expose protrusions on accessible outlines. |
| Surface light | Low-angle illumination with controlled shielding | Test whether the critical relief remains visible over production variation. |
| Handling | Part fixture and controlled presentation | Keep the inspected edge visible without covering it with the fixture. |
| Tool or software | What it does here |
|---|---|
| Edge location | Find the edge from the component datum rather than a fixed image coordinate. |
| Defect decision | Compare edge shape or classify approved defect categories; retain uncertain cases. |
| Recipe control | Bind edge zones and limits to the part revision. |
| Evidence | Save the failing zone with the part/cycle reference for rework. |
Agree the defect/feature list, acceptable variants, reference samples, failure response and excluded checks.
Mark critical edges and acceptable edge breaks on the drawing. Include burrs, clean good edges, oil, loose chips and tool-mark variation.
State whether cleaning, deburring and reinspection are allowed. A result is valid only for its own part or pack cycle.
Bind the program and inspection limits to the authorised product revision; record who changes them.
Repeat the challenge set under the agreed production conditions, then check cleaning, restart, bypass and rework handling.
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.
| Cost driver | What changes the scope | Information needed |
|---|---|---|
| Visibility | Number of critical edges and views | Marked drawing and defect samples |
| Preparation | Cleaning/drying and permitted residue | Production-condition samples |
| Validation | Defect classes and borderline judgement | Customer edge acceptance criteria |
Compare the scope with the cost guide. The quotation states its price date, VAT treatment, installation, commissioning and exclusions.
The technologies behind this station, how much each matters here, and where each is explained in depth.
| Technology | Role | Why it matters in this scenario | Read more |
|---|---|---|---|
| Surface defect detection | Core | Supports the machined part burr inspection task within the stated viewing and acceptance limits. | Surface defect detection |
| Lighting technique | Core | Supports the machined part burr inspection task within the stated viewing and acceptance limits. | Machine vision lighting |
| Area scan cameras with a vision controller | Supporting | Supports the machined part burr inspection task within the stated viewing and acceptance limits. | Camera and lens selection |
| PLC link and reject with confirmation | Supporting | Supports the machined part burr inspection task within the stated viewing and acceptance limits. | PLC and reject integration |
Every station is accepted on your products, against numbers agreed in writing before the build. How we deliver →
Report missed burrs and false alarms separately for each critical edge and sample condition.
Rotate/reload parts within allowed tolerances and include fixture contamination.
Prove that a cleaned or reworked component receives a new result and cannot inherit a previous pass.
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.
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.