OPSISTECH

Electronics manufacturing operates at a scale where defects are measured in parts per million and tolerances in tens of microns. A modern PCB carries hundreds — sometimes thousands — of components, ranging from 0201 passives smaller than a grain of rice to BGAs with hundreds of hidden solder balls. Catching defects after the board leaves the line is exponentially more expensive than catching them upstream.

Machine vision is the spine of modern SMT inspection. Solder Paste Inspection (SPI) verifies the print before components land. Automated Optical Inspection (AOI) verifies the board after reflow. Both systems generate millions of measurements per shift, feed defect data back to upstream processes, and produce the IPC-A-610 evidence that customers and certification bodies expect.

Opsistech designs and integrates inspection systems for the full SMT line — selecting cameras, lighting, optics, and algorithms that match each customer's product mix, volume, and quality target. Every cell delivers measurable defect-escape reduction within weeks of commissioning.

Electronics quality is governed by published standards — IPC-A-610 for acceptability, IPC-7711/7721 for rework, J-STD-001 for soldering. Opsistech configures inspection systems whose criteria align with these standards out of the box, so AOI calls map directly to the IPC class your customer demands. That alignment removes ambiguity from operator review and makes audits straightforward.

The cost of an escape grows by an order of magnitude at every downstream stage — a defective joint caught at AOI costs cents to rework; the same defect caught in functional test costs euros; in the field it costs warranty replacement, brand damage, and sometimes recall. Sub-pixel measurement precision and properly tuned algorithms are what hold the line escape rate at parts per million rather than parts per thousand.

Opsistech inspection cells integrate cleanly with line-management systems — SMEMA, Hermes, and the customer's MES — so SPI and AOI feedback closes the loop with placement and reflow in real time. We design cells equally for high-volume EMS production runs and lower-volume specialist work, where deep learning and fast program changeover make small batches economically inspectable.