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Hole Locating Hands Over Coordinates in 3 s per Part

Source:Project Case Library / Date:2026-10-31

In mechanical manufacturing, a large workpiece needs its incoming hole position before downstream mechanisms act. Hole position changes with every delivery, and even a fixed station needs repeated alignment. The old method was manual: find the hole by eye and adjust by hand, slow, inconsistent and occupying a skilled operator. Automation often stalls at the seeing, not the moving.

Localization and measurement are not the same job

Vision localization outputs where the hole is, and hands it to an external mechanism as the basis for action. Measurement outputs how far the hole deviates, and uses it to judge pass or fail. Accuracy requirements, output form and downstream handling all differ. Making localization into measurement pays for unnecessary precision in cost and cycle; making measurement into localization loses the quantitative verdict where one is needed. Incoming hole locating belongs to the first class: the target is clear and the result is definite, and that result is a coordinate.

Every delivery gets a fresh coordinate

Because the incoming position differs every time, localization cannot be fixed by calibrating once. Each part must be imaged and extracted again, which defines the operating model: fixed station, one image per part, real-time output. After the workpiece is placed, the camera images once over the required hole area, the system identifies and extracts hole positions, and converts them into coordinates in the station frame. The chain is one image and one extraction, with no multi-frame comparison and no dependence on a historical state.

Edge contrast decides whether 3 seconds is possible

A single locating cycle takes 3 seconds, subject to site acceptance results. Imaging and hole extraction dominate that time. Hole contour extraction is sensitive to edge quality: when hole wall and surface reflect similarly, the edge blurs and extraction slows or becomes unstable. The cell uses lighting and imaging parameters to stabilize hole extraction and reduce reflection interference at the edge. If the hole and surface differ strongly and need dedicated lighting, that design belongs in selection, not in commissioning.

One coordinate frame, or the accuracy is wasted

The vision result is in camera coordinates, while the external mechanism works in station coordinates. The transform between them must be calibrated once and remain stable. The cell converts hole coordinates into the station frame before output, so the external mechanism reads and acts without manual confirmation. When integrating with a robot or special-purpose machine, the critical point is not vision accuracy but coordinate unity and action sequencing. A timing mismatch and the mechanism acts on the previous part's coordinates.

The retrofit is small because only the seeing changed

The system sits at a fixed station and works with the existing mechanism, so retrofit scope is concentrated and launch is short. Manual hole finding and adjustment are removed, and the operator leaves the locating step for other work. For most large-part processes, replacing one step carries far less risk than rebuilding the whole line, and it fits into the existing cycle more easily.

Fit and selection

It suits incoming hole locating and guidance for large workpieces in mechanical manufacturing, and fits best where holes are regular in form and imaging is stable. Camera field and station layout must be configured around workpiece structure and hole distribution, so holes on a large part can be extracted reliably. If holes are too widely spread for one image, multiple cameras or zone imaging are needed, which changes both cycle and cost structure. The approach extends to other hole locating needs.

Three interfaces in the locating chain

Is 3 seconds the whole process time?

No, it is the time for vision to locate the hole and output the guidance. Mechanism motion is counted separately, and the two are serial.

Is one camera enough for a large workpiece?

It depends on hole distribution. If holes fall inside one image, one camera suffices; if widely spread, multiple cameras or zoning are needed, and the field-speed balance must be calculated at proposal stage.

Why not let vision control the mechanism directly?

Vision supplies coordinates and the external control executes, which keeps responsibilities clear. A vision upgrade then does not affect mechanism logic, and a mechanism change does not require rebuilding vision.

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