Artificial Intelligence-based Industrial Automation for Smart Manufacturing
Keywords:
Artificial intelligence, Computer vision, Industrial automation, Industrial Internet of Things (IIoT), Machine learning, Predictive maintenance, Robotics, Smart manufacturing, Industry 4.0Abstract
Artificial intelligence (AI) is transforming industrial automation by enhancing efficiency, accuracy, and decision-making processes in modern industries. The integration of AI technologies such as machine learning, computer vision, and data analytics enables automated systems to perform complex tasks with minimal human intervention. This study presents an overview of the role of AI in industrial automation, focusing on its applications in predictive maintenance, quality control, robotics, and process optimization. AI-driven systems can analyze large volumes of data in real time, identify patterns, and make intelligent decisions, thereby reducing operational costs and improving productivity. Furthermore, AI improves safety by minimizing human involvement in hazardous environments and enhances product quality through precise monitoring and control. The study also discusses the challenges associated with AI implementation, including high initial costs, data security concerns, and the need for skilled professionals. Despite these challenges, the adoption of AI in industrial automation continues to grow due to its long-term benefits and potential for innovation. The findings indicate that AI is a key driver in the development of smart industries and Industry 4.0, enabling more flexible, efficient, and intelligent manufacturing systems.
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