ระบบควบคุมคุณภาพปลาหมึกตากแห้งด้วยปัญญาประดิษฐ์
A camera watches squid dry on the rack. An AI model reads each piece — how dry it is, its colour, and any defects — then sorts it into Grade A, B or C in real time. Press play and watch the line run.
The system does the same thing an expert inspector does by eye and by touch — only faster, and the same way every single time.
A camera above the drying rack photographs each squid as it passes on the belt under even light.
The model measures four things from the image: dryness, colour uniformity, shape & size, and surface defects like mould or tears.
It combines the scores and predicts a grade — A, B or C — with a confidence level, in a fraction of a second.
The grade tells the line where each squid goes: export, local market, or back to the rack to dry more.
These are the thresholds the model is trained on. In the simulation above, every squid is scored against them live.
| Grade | Dryness | Colour | Defects | Where it goes |
|---|---|---|---|---|
| A | ≥ 85% | Even, golden | None | Export grade |
| B | 70–84% | Slightly uneven | Minor spots | Local market |
| C | < 70% | Dark / patchy | Mould, tears | Re-dry or reject |