Ahmad Raza, Tauheed Ahmad, Umar Farooq, Muhammad Awais
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Segregation of Quality Products on the Production Line
In the highly competitive manufacturing industry, producing high-quality products is crucial for success and reputation. The issue of segregating quality products on the production line has emerged as a critical concern, necessitating effective strategies to tackle that problem. This project aims to design a quality control unit using controllers, sensors, and a robotic arm to segregate products based on height, substance amount, and cap presence. Ensuring product quality enhances customer satisfaction, improves production efficiency, optimizes resources, and boosts profitability through waste reduction and brand preservation. Workforce training will focus on quality standards and defect identification.
期刊介绍:
Journal of Artificial Intelligence and Soft Computing Research (available also at Sciendo (De Gruyter)) is a dynamically developing international journal focused on the latest scientific results and methods constituting traditional artificial intelligence methods and soft computing techniques. Our goal is to bring together scientists representing both approaches and various research communities.