Machine Vision-Based Dried Danggit Sorter

This paper presents a machine vision system capable of sorting dried danggit as to size based on the Philippine National Standard/Bureau of Agriculture and Fisheries Producer Standards (PNS/BAFPS 68:2008 ICS 67.120.30). The sorter has two sub-systems: the size identifier and the sorting device. The size identifier uses image processing techniques to extract the length of the fish, and use this length as a basis in determining its size. The sorting device, on the other hand, has four arms that are controlled by a microcontroller. The microcontroller triggers one of the arms to place the dried danggit to the appropriate bin. Based on software quality characteristic of ISO 25010, the proposed system is perceived to be “Outstanding” by both IT and domain experts. Furthermore, the result of the experiment shows that the proposed system achieved a high level of sorting accuracy.