Corn Flour Quality Identification System Based on Angle Image

Abstract

Corn can be processed into corn flour, this can make it easier for consumers to consume and process it into other food ingredients. Therefore we need a system that is able to identify the quality of corn flour automatically. Data retrieval is done by inserting corn flour into a container to calculate the angle of repose. The valve of the container is opened and the cornstarch flows into a mound above the cross-sectional base. The image of the corn flour mound was taken using a cellphone camera and stored in a laptop as a database. The sample of this research is corn flour with three types of particle sizes, namely 20 mesh, 10 mesh and 8 mesh. In the identification process, the corn flour image is converted into a grayscale and binary image and cropping is done, then identified based on the calculation of the angle of repose. The results of this study obtained that the average value of 20 mesh, 10 mesh and 8 mesh corn flour was 30.91 degrees; 33.96 degrees and 36.80 degrees. After testing and comparison, it can be concluded that corn flour with good quality is corn flour with an angle of less than 32 degrees.