Nearly 100 Cameras Fit a 1,000-Point Check Inside 75 s
A large workpiece with more than 1,000 inspection points used to take nearly 7 minutes, sometimes half an hour, for a single full check, leaving the part stalled in inspection. This cell uses nearly 100 industrial cameras as a multi-camera 3D measurement system, capturing synchronously under one global calibration. The cycle is 73 seconds, completing the inline full check within 75 seconds, with error-proofing accuracy above 99.95 percent, subject to site acceptance results.
At a thousand points, speed and accuracy start to pull
More points mean longer acquisition and judgment, and each individual verdict is easier to push off by noise. Inline full inspection cannot be reached by making the old method a little faster; it requires a different way of organizing acquisition and computation.
One calibration model, one shutter instant
The parameters of nearly 100 cameras enter a single calibration model and are optimised globally, so errors constrain each other and the result is one coordinate datum. Data from all views is stitched seamlessly in one world frame, removing seam error at the source. Calibrating each camera separately and forcing the results together accumulates error at the joins, and any cross-view point relationship becomes untrustworthy.
The cameras fire on one synchronization signal, so every view records the same instant of the workpiece. If one camera triggers off-time, a moving part is imaged displaced and the 3D data shows a systematic offset when stitched. Synchronization is not a nice extra; it is the premise of multi-camera measurement.
Marble takes temperature and vibration out of the chain
Shop temperature and vibration move camera poses slowly. A single check will not show it, but long running erodes judgment stability. A dual-marble structural base gives the camera array a stable reference and suppresses thermal and vibration effects. That is the engineering basis for holding error-proofing accuracy above 99.95 percent, subject to site acceptance results.
The verdict is binary by design
More than 1,000 points are defined in advance on the nominal model. At inspection, 3D features are extracted at the corresponding positions under the common datum and compared with the model, then binarized into present or missing. No exact dimension is output, which is why it is fast enough for inline full inspection. Full-dimensional measurement that needs a number is a different task and should not be confused with this one.
Parallel computing turns a thousand points into one zone
Each cycle processes nearly 100 image channels. Every camera extracts its own point features first, then results are aggregated for a global verdict, so total time approximates the slowest zone rather than the sum of points. Zoning follows point density: dense areas get more cameras and higher per-point resolution, sparse areas get less redundancy.
Where the architecture stops paying
It suits workpieces with dense points, a large footprint, a demanding cycle and controllable temperature and vibration. With fewer points or a loose takt, a single or few-camera configuration is more economical. A new product needs only updated point definitions and a new nominal model.
Four questions reviewers ask
How are 1,000 points checked in 75 seconds?
By zone-level parallelism. Nearly 100 cameras shoot at once, each owning a region, extract features in parallel and submit to one verdict, so total time approaches one zone and the part passes during a single transfer.
How do nearly 100 cameras stay in one coordinate frame?
All parameters enter one calibration model for global optimization, producing a single datum. If calibration is poor, every cross-view verdict is untrustworthy, so it must be re-verified periodically.
Do shop vibration and temperature matter?
Yes, as slow pose drift. The dual-marble base provides a stable reference; long-term running also needs reference-piece checks to keep judgment stable.
How is error proofing different from full-dimensional measurement?
Error proofing decides presence or absence and returns a binary result quickly. Full-dimensional measurement returns values and takes longer. Decide first whether the goal is interception or data.