For Electronics
99.7% quality rate. Zero rework on setup errors. Recipe error-proofing.
High-mix, low-volume assembly. Each product variant requires different setup, calibration, and quality checks. Setup errors cascade into scrap. Quality relies on manual inspection — human fatigue, inconsistency. wiseDo error-proofs at loading and inspects at placement with AI-driven classification.
Book a free floor walkThe Problem
Precision manufacturing at scale. Manual quality inspection at speed.
With this many SKUs, you're changing setup every two to four hours. Load the wrong recipe or calibrate to the wrong variant and the next 500 units are scrap. And inspection is still manual — someone eyeballing parts, sampling a few measurements, making rework calls under time pressure.
Defects are logged but not classified. Root cause stays buried. The same defect repeats on the next high-mix changeover because there's no systematic learning.
The wiseDo Solution
AI error-proofing at loading. AI inspection at placement.
Recipe management with error-proofing at loading: the system cross-checks the loaded variant against the job order before production starts. AI-driven quality inspection with defect classification — each defect tagged by type (solder, placement, orientation, missing component), severity, and likely cause.
Defects are detected before the next unit starts. Rework decisions are logged with timestamps. Systematic learning prevents repeat defects on future changeovers.
Quality Rate
Setup Rework
Defect Evidence
Why Electronics Manufacturers Choose wiseDo
From manual inspection to systematic learning.
AI-driven defect classification
Each defect tagged by type, location, and severity. Solder bridging vs. cold joint vs. missing component — each with a correction path. Systematic learning from defect history prevents repeats.
Recipe error-proofing at load
Before production starts on a changeover, the system verifies the loaded recipe matches the job order. Mismatch triggers operator re-verification, not silent scrap production.
Audit-ready quality evidence
Full genealogy of each unit: build log, inspection results, defects detected and corrected, operator sign-off. Traceability for customer quality escapes and field failures.