Saad Mansour · SOLANG

SOLANG Vision QC — a second pair of eyes on the final-inspection table of a children's-wear factory in Cairo. The problem, firsthand: every garment passes a human final inspection before packing. After a few hours the eye gets tired, small defects slip through, and the order comes back from the customer with shipping paid both ways. Our own estimate is that roughly 15% of orders come back with a defect involved (no audited figure — our shop platform does not report returns); the goal is to bring that under 5%. What it is: an ordinary phone on a stand above the inspection table and a tablet in front of the quality inspector — one link, nothing to install, in the inspector's own language (Arabic; English is one tap away). One tap on the tablet: the phone shoots at full resolution, SAM 3.1 finds the garment, Muse Spark inspects it tile by tile, re-checks every candidate magnified with the inspector's past verdicts as examples, looks at prints and cuffs up close, compares the two sleeves and the overall look against a reference piece. The inspector sees circles on the photo with a reason, confirms or rejects each one, marks what the camera missed, names who sewed it and decides pass / repair / reject. Her verdicts are stored as labelled crops and ride along in the next inspection of the same product — the system suggests, the inspector decides, and it learns from her. Built from zero during the hackathon (Oct 26 – Nov 4). Pre-existing: only the factory and its paper QC sheet. Used on the real table from day four: 38 inspections, 70 spots shown to the inspector, 38 confirmed and 32 rejected (precision 54%), 10 misses she marked (recall 79%); loose threads are the strongest type (84%), stains the weakest (32%); about 70 s per piece on the factory Wi-Fi and about $0.18 per piece. Every number, every miss and the sleeve-length check next to tape measurements are in the README. Live demo (no key needed, three bundled factory photos to try): https://solang-vision-qc.saadmansour.workers.dev/station/