Vision-based measurement checks the dimensions of parts without touching them: lengths, diameters, hole positions, radii, gaps and profiles. Because it is fast, it can measure every part in-line instead of a sample in the lab, and every value is logged for statistical process control.
Dimensional measurement confirms that a part is the size and shape the drawing says. Traditionally that means callipers, gauges or a coordinate measuring machine in the quality lab, on a sample of parts.
Vision-based measurement uses calibrated cameras and optics to measure edges and features in an image with sub-pixel precision. It measures in milliseconds and without contact, so it can check every part on the line.
Parts pass on a conveyor, sit in a fixture, or are placed by a robot in the measuring field.
A telecentric lens with a backlight produces a sharp silhouette with no perspective error; a laser line gives height and profile in 3D.
Edges are found to a fraction of a pixel and converted to millimetres using the calibration.
Each feature is compared with its nominal and tolerance, and the part passes or fails.
Every value is stored so trends, Cp and Cpk can be tracked and tools adjusted before parts go out of tolerance.
A telecentric lens keeps magnification constant with distance, so a part measures the same size even if it sits slightly higher or lower in the field.
Lighting the part from behind turns its outline into a high-contrast edge that can be measured very precisely.
A laser line projected onto the part is viewed at an angle; its shape gives the height profile, used for depth, flatness, gaps and flushness.
Calibration with certified targets and a gauge R&R study show how much of your tolerance the system uses, before anyone relies on it.
Two example project scopes showing how the station, the checks and the outputs are defined. Every plant is different, so the final configuration is confirmed after a feasibility study on your own parts.
The situation: A moulder checks a handful of parts per shift with callipers and has shipped out-of-tolerance batches.
The situation: An extruder measures its profile by cutting samples, and scraps metres of product before a drift is found.
Industrial cameras, lenses, line-scan cameras and code readers are available through our machine vision catalog, quoted with delivery to Sri Lanka. We select the hardware for your application during the feasibility study.
Browse the hardware catalogEvery product, surface and line behaves differently under a camera, so every project starts with evidence from your own material.
A site visit to understand your product, line speed, quality criteria and where the check should sit.
We image your good and defective samples and show what the system can reliably detect. This is the go or no-go.
One station on one line, running beside your inspectors until results match and your team trusts them.
More lines, integration with your PLC and systems, and local support from our Sri Lankan engineering team.
Automated surface inspection for scratches, dents, cracks, porosity, stains and coating faults on metal, plastic, rubber and glass. Specialised lighting and deep learning find cosmetic and functional defects on every part.
Vision error-proofing (poka-yoke) for assembly lines: confirm every component is present, correct, oriented and seated, count parts, and keep an image record of each assembly for traceability.
Sort fabric rolls, cut panels and washed garments into buyer shade bands with CIELAB measurement and 555 codes.
Every machine vision application we design and build, in one place.
It depends on the field of view, camera resolution, optics and lighting. Accuracy is designed around your tolerance: as a rule of thumb, the measurement system should use only a small fraction of the tolerance band, which is verified with a gauge R&R study before production.
A normal lens makes objects look bigger when they are closer. A telecentric lens keeps magnification constant over a range of distances, so small changes in part height do not change the measured size.
Yes. Laser triangulation and structured light sensors measure height, depth, flatness and profile, for example gaps and flushness between assembled parts or the height of components on a board.
No. The CMM stays as the reference for complex geometry and first-article inspection. In-line vision measures the critical features on every part, which a CMM cannot do at production speed.
Yes. Values can be exported to your SPC or quality software, or to a database or spreadsheet, and trends and capability indices can be shown on the line.
Tell us what you need to check and share some good and faulty samples. We will show you what a camera can reliably see before you commit to anything.
Photographs show representative plants and equipment, not Cerox installations or client sites. Diagrams by Cerox Engineering. Photo credits, via Wikimedia Commons: Coordinate measuring machine by National Institute of Standards and Technology, Public domain; Portable measuring arm by TestoCH, CC BY-SA 4.0.