Product checks
- Presence and absence detection
- Product orientation
- Colour and shape checking
- Component counting
- Missing-product detection
- Product variant verification
100% in-line visual inspection
Machine-Vision Inspection Systems
Turn repeatable visual checks into an engineered inspection station with controlled lighting, the right optics, traceable decisions and verified rejection.
Machine vision
Inspection built around the defect you need to catch
A successful vision project starts with the product, defect and process window—not a camera specification. We assess presentation, line speed, variation and false-reject risk before defining cameras, lenses, lighting, triggers, processing and reject control.
Stable image captureRepeatable pass/fail rulesLine-ready integration
Inspection scope
What the system can cover
Each check is configured against agreed samples, tolerances and fault responses. Multiple checks can be combined into a single inspection recipe.
Quality inspection
- Dimensional inspection
- Surface and defect detection
- Assembly verification
- Edge and profile checks
- Cosmetic defect inspection
- Multi-region inspection
System architecture
- Smart-camera systems
- Multi-camera inspection
- Controlled LED lighting
- Encoder and sensor triggering
- PLC and line-control integration
- Automatic reject integration
Typical products and formats
ComponentsBottlesJarsPouchesCartonsTraysClosuresCases
Automated visual inspection
Surface defects and dimensional checks need different image evidence
Automated visual inspection is the production use of cameras, controlled lighting and decision software to check every presented product without relying on a manual visual sample.
Surface-defect inspection
Reveal scratches, dents, contamination, moulding faults, chips, cracks, stains or cosmetic variation with lighting selected for the material and surface texture.
Dimensional inspection
Measure edges, gaps, diameters, angles, profiles, positions and clearances from a calibrated view where resolution and product presentation support the tolerance.
Assembly verification
Confirm component presence, count, orientation, colour, seating and relative position before the product leaves the assembly or packing process.
Rules or AI
Use deterministic measurement for defined geometry and consider AI classification where acceptable appearance or defect shape varies significantly.
Feasibility depends on:Smallest defectRequired toleranceSurface finishProduct stabilityLine speedGood, bad and borderline samples
Production-line integrationOptics, handling, controls and rejection designed as one system.
Engineering priorities
What turns an inspection into a dependable production station
- 01
Product handling that presents every item consistently to the cameras
- 02
Lighting selected to reveal the actual defect rather than simply brighten the scene
- 03
Inspection windows, tolerances and recipe control defined against approved samples
- 04
Reject confirmation and fault logic matched to the production risk
- 05
Operator access, cleaning, guarding and changeover requirements built into the station
- 06
Results, images and production data recorded where the application requires traceability
From samples to sign-off
A controlled route from question to production
We reduce risk early by proving the inspection on representative products before final hardware, handling and controls are committed.
Define
Agree the pack, defect, speed, reject risk, data needs and acceptance criteria.
Prove
Run feasibility tests using representative good, bad and borderline samples.
Engineer
Design handling, cameras, lighting, controls, guarding and rejection as one station.
Integrate
Build, validate, install, train and support the system in production.
Useful starting evidence:Product drawingsGood and failed samplesLine videoTarget outputAvailable layout
Questions answered
Machine vision FAQs
Need an answer for your exact product or line? Send us the application details and we will identify the next useful test.
Ask an application questionWhat can a machine-vision system inspect?
Typical checks include presence, orientation, colour, shape, count, dimensions, surface quality, assembly, labels, codes, seals and fill level. Feasibility depends on whether the defect can be presented and made visible consistently.
Can vision inspect every product at production speed?
Often yes. Camera count, exposure time, image processing, product spacing and reject timing are engineered around the required line speed. We confirm the practical inspection window during trials.
How do you control false rejects?
We use stable product handling, controlled illumination, representative good and bad samples, guarded tolerances and production-style trials. Borderline results can be logged separately before final rules are locked.
Can the system be added to an existing line?
Yes. We assess space, conveyor control, product pitch, PLC signals, guarding and the available reject distance before designing a retrofit station.
Which vision inspection method fits the defect?
Rule-based vision suits stable, measurable features such as presence, position, colour and dimensions. AI may help classify naturally variable appearance, while thermal, X-ray or weight methods answer different physical questions. Selection should follow the real defect, product variation and required line response.