High accurate rebar counting with image processing in rebar packages

Iron and steel quality control is extremely important in the iron and steel industry. From casting process to bundling a large amount of energy are consumed at every stage of production. Iron and steel factories are environments where the surrounding environment is very dusty and where high temperature conditions are present. In this study, it has been considered the counting of steel rebar bundles in the storage area. In iron and steel factories, when it is necessary to recount the rebar in a bundle, staff are assigned for this work. In high temperature conditions, the counting of steel rebar bundles with human eyes is a challenging process. Another the counting of steel rebar bundles alternative is transported the steel rebar package with a crane system for weighting. Both of them are time and energy-consuming methods. In this study, an algorithm for counting of steel rebar bundles is developed by taking photograph of rebar packages with a smartphone camera. Despite the existence defects such as lack of painting, unsuitable environmental environment, distorted cutting edges, steel rib features, insufficient lighting of the storage area, the developed algorithm can count with high accuracy.