Connector Pin Height and Coplanarity Candidate Detection Application

Project Judgment Summary

Tasks and image input

The top view can observe the pin position, but cannot directly give the actual height; reflection and occlusion will also cause the single outline to be missing.

Input data: laser cross section of multi-row stitches, coding/movement position, needle number, reference surface and normal abnormal samples corresponding to stitch pitch/plating.

Algorithm processing and output

Section quality inspection→scan coordinate fusion→pin partition/numbering→top surface and reference surface calculation→height abnormality and missing measurement output.

Output results: pin-by-pin height, effective point ratio, reference residual and foot lift candidates; the formal coplanarity index requires additional definition of measurement and evaluation methods.

Implementation and verification

Pin partitioning, scan fusion and recipe interfaces need to be developed, and actual optical resolution capabilities and class-by-class detection results need to be verified.

Verification method: Compare with three-dimensional coordinate or independent microscopic height gauge according to the same needle number, covering coating reflection, dense needle pitch, crooked needle, occlusion and number mismatch.

Applicable boundaries and existing basis

There is no guarantee that any needle pitch or coating can be measured; missing test needles must be reviewed and cannot be automatically deemed qualified.

There is line extraction and geometric foundation, but there is no pin-by-pin physical error, detection rate or on-site beat acceptance of this product.

Corresponding algorithm:Laser line extraction and cross-section geometry measurement algorithm；Laser line scanning topography and surface geometry analysis algorithm。

Enterprise project promotion and acceptance

1. scope confirmationClarify the objects, workstations, inputs, outputs, units, interfaces and abnormal conditions that must be covered.
2. Sample verificationUse representative normal and abnormal samples to establish a baseline and record what works, what fails, and data gaps.
3. Development joint debuggingComplete the algorithm, calibration, interface and equipment adaptation according to the approved scope, and retain the version, parameters and abnormal status.
4. Item acceptanceUse independent samples and reference value retests to confirm errors, detection, tempo, stability and deliverables respectively.

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