Akademik Veri Yönetim Sistemi
Gazi Mühendislik Bilimleri Dergisi, cilt.11, sa.2, ss.158-176, 2025 (TRDizin)
This study aims to develop an automation system designed to enhance the quality control processes of ammunition cases of various calibers using a systematic design approach. Traditional quality control methods in ammunition manufacturing largely depend on human factors, which carry a high potential for error and limit efficiency. The aimed system utilizes advanced image processing algorithms integrated with mechanical and electronic components to perform quality control tasks at high speeds with nearly perfect accuracy. This significantly reduces human error, aiming for a more consistent and reliable control process. The system developed through this research is expected to make significant contributions to sectors that require high precision and reliability, such as the defense industry, where it can be integrated. It is anticipated that using this system in national projects will enhance overall production quality and safety standards. The integration of automation systems into industrial quality control processes is expected to set a new benchmark for ammunition production and quality control, raising awareness in other sectors as well.