Image Analysis Using Artificial Intelligence in Chemical Engineering Processes

Artificial intelligence (AI)-based systems are gaining in importance in all fields of engineering and science through the solution of many real-world problems. Further, machine learning and deep learning techniques are widely used to build models, either from images or from available data. The development of these systems requires a large amount of data which can be obtained from the available resources. In the present day, data extracted from images are gaining importance in terms of developing a deeper understanding and creating customized solutions to imaging problems in different fields. To develop an intelligent support system, we need to focus on data-driven, analytical and knowledge-based approaches for developing solutions. The present drive toward industrial automation advancements, such as Industry 4.0 and smart manufacturing, is also enabling technological developments in research to percolate into industries, to meet challenges in product quality, safety and profitability. In the present work, we concentrate on practical applications of AI in the chemical engineering process which is based on data as well as imaging problems and provide the solutions for different novel problems.