A Framework for Bang Saen Safe Food Avenue Management System

Abstract

The coronavirus (COVID-19) epidemic has had a significant impact on people’s lives and businesses. After the epidemic situation, Saensuk Sub-district, Chonburi is one area that has a need to change its tourism management. Saen Suk Municipality launched a campaign to promote Bang Saen as a "Safe Food Avenue". The pilot project began with production of an application to support a special test for formalin (FA) in sea foods which shows the result to food shops and tourists online. The FA test kit was produced and approved with accurate test results verified by a team of specialists from Burapha university. The application was developed using a responsive website technique. Specialists used the system to upload images of FA test results. Then a machine learning in image processing technique was used to analyze the test results. The Server sends the result through a RESTFUL API in JSON format to the application so that users can see the results online. The experiment using Circular Hough Transform (CHT) algorithm to detect circular shape in two-dimensional space by voting in Hough parameter with 400 data records for training. Based on the FA test result dataset, training accuracy are 100%. The SafeFoodAvenue mobile application using responsive technology FA test result’s dataset accuracy is 100%.