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Vektör Enerji
05 · Machine vision and quality control

Four-camera line inspection in moulding production

Omron FH series cameras at line entry and exit

The commissioning screen showing the camera image of a moulding surface and the inspection result05
The commissioning screen showing the camera image of a moulding surface and the inspection result

Four Omron FH series cameras placed at the entry and exit of the moulding line catch surface defects in real time and keep quality consistent.

Customer
Bir yapı elemanı üreticisi
Sector
Building element manufacturing
Field of work
Machine vision and quality control
Year completed
2026

The need

What had to be solved on site?

In moulding production, knowing where a defect appears matters as much as finding it. Did a product that comes out faulty at the end of the line arrive that way in the raw material, or was it damaged during the process? Inspection at a single point cannot answer that.

Without the answer there is no improvement: the team either blames the supplier or the machine. Either way, scrap keeps being produced until the real cause is found.

How we solved it

Moulding products leaving the line are inspected in real time with Omron FH series camera systems. Four cameras in total, positioned at the entry and the exit of the line, immediately detect any defect that may appear on the product surface.

The two-point setup also makes it possible to tell where a fault appears: if a product passes cleanly at the entry but comes out defective at the exit, the problem is inside the process. This distinction speeds up root-cause analysis.

The software screen where camera parameters are tuned and an NG result is displayed
The software screen where camera parameters are tuned and an NG result is displayed

Faulty products are removed while still on the line, so no work is wasted at later stations and only faultless products reach the customer.

Four cameras in total were placed as a pair at the line entry and a pair at the exit. The pair at the entry records the product's condition going into the process; the pair at the exit records the condition coming out. Comparing the two records shows at which stage the defect appeared.

The camera and lighting unit mounted at the line entry, seen over the production line
The camera and lighting unit mounted at the line entry, seen over the production line

The practical benefit is this: a run that passes cleanly at the entry but comes out defective at the exit says to look straight at the process parameters. The opposite case — products already faulty at the entry — points to the incoming material. Root-cause analysis rests on records rather than guesswork.

Because the product surface is matt and light in colour, the lighting was set at a grazing angle to the surface. Grazing light makes the smallest bump or dip stand out by casting a shadow; under flat lighting those defects disappear from the image.

The camera unit at the line exit with the commissioning workstation set up beside it
The camera unit at the line exit with the commissioning workstation set up beside it

During commissioning, the acceptance threshold of each camera was tuned separately. The entry cameras run slightly more tolerant: their purpose is to record the incoming condition, not to sort out material. The actual reject decision is made by the exit cameras.

Implementation steps

The order we worked in

  1. 01

    Choosing two inspection points

    Entry and exit were chosen so that the part of the process capable of producing defects sits between them.

  2. 02

    Grazing-light setup

    Lighting was positioned at a grazing angle so bumps and dips on the matt surface cast a shadow.

  3. 03

    Per-camera threshold tuning

    Entry cameras were tuned more tolerant for recording, exit cameras sharper for the reject decision.

  4. 04

    Comparative reporting

    Entry and exit results are reported together, so whether the defect appeared in the process is directly visible.

Cameras
Four (2 entry, 2 exit)
Lighting
Grazing angle
Root cause
Identified from records
Reject point
Line exit
Project outcomes

What this changed on the floor

  1. 01

    High precision

    Surface defects and production faults are identified at line speed.

  2. 02

    Two-point inspection

    Comparing entry and exit shows whether the fault appears inside the process.

  3. 03

    Continuous inspection

    Quality control runs without stopping the line, protecting throughput.

  4. 04

    No wasted work

    A defective product is removed before it enters later stations.

Frequently asked questions

Frequently asked about this application

Why put cameras at both the entry and the exit?

Inspection at a single point tells you a defect exists but not where it came from. A two-point setup records the product's condition entering and leaving the process; comparing the two shows whether the defect came from the material or the process. Without that distinction, improvement work rests on guesswork.

Why was grazing lighting chosen?

On matt, light-coloured surfaces the brightness difference between a defect and sound material is very small, and flat lighting makes the defect disappear from the image. When light arrives at a grazing angle, even the smallest bump casts a shadow and the contrast becomes clear.

Why are the entry cameras set more tolerant?

The entry cameras' job is to record, not to sort. If a tight threshold were applied there too, small deviations the process could still correct would be rejected, creating needless scrap. The reject decision was left to the exit cameras, which see the product in its final state.

Does the system slow production down?

No. The cameras are triggered at line speed and the decision time is shorter than the time it takes the product to reach the next station. Neither slowing nor stopping the line is required for inspection.

Projects

Do you have a similar need on your line?

Describe the defect you need to catch or send a photo of your production line, and we will assess feasibility and the hardware needed together.

Projects
Contact

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