Thesis:

Designing and technical and financial feasibility of using an intelligent quality control system in the production of household appliances

Given that today's world is moving towards smartness at a remarkable pace in many aspects, we decided to conduct research in this field in the home appliance industry, which is one of the important global areas affected by smartness. Therefore, after reading many articles and reviews, we began research with the aim of assessing the feasibility of using artificial intelligence in the home appliance industry, to answer the questions that are the basis for the formation of the research;Is it possible to use artificial intelligence to control the quality of parts? Is the error of intelligent quality control lower than manual quality control? Is the cost of intelligent quality control systems lower than the cost of manual quality control? The statistical population of the study was 5000 pieces of refrigerator filter covers produced in one month, of which about 100 defective and healthy pieces were photographed. Data related to manual control costs was received from the industry. And by SPSS22 software and building defective part detection software based on the Python programming language, the research hypotheses were examined.Ultimately, it was determined that it was possible to deploy an intelligent system, that the capabilities of intelligent control systems were greater than manual control, and that the costs of smartization were greater than the current costs of quality control.

Keywords: electronic household appliances, artificial intelligence, quality control, image processing