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AI, Deep Learning, Computer Vision and Data Mining applied to Manufacturing Industry

Wenjun Liu, 19056808

The advancements in digital technology have led to the development of useful Esystems that could potentially be beneficial for numerous industry sectors. Further, the technologies of Artificial Intelligence (AI), Deep Learning, Computer Vision, and Data Mining have developed continuously over the years with a lot of potential applications in the manufacturing industry sector. As a result, the literature has been reviewed to identify the opportunities, as well as the challenges of using these technologies in the manufacturing industry, and the major findings have been summarized in this article.

Introduction
The digital technologies have developed over the years and have facilitated improvements in the efficiency of numerous industries. Consequently, the technologies of Artificial Intelligence (AI), Deep Learning, Computer Vision, and Data Mining combined together have the potential to improve the operations of the manufacturing industry. These technologies assist in the automation of the different processes in the manufacturing industry that eventually improves the efficiency of operating manufacturing industries. However, the use of the latest digital technologies is associated with numerous challenges that affect their adoption in the different industries. As a result, this article will summarize the opportunities and challenges of using the corresponding digital technologies in the manufacturing industry.

Opportunities in Manufacturing Industry
The use of AI technology in the manufacturing industry has the potential to address the issues of process safety in the manufacturing industry and facilitate efficiency through intelligent energy consumption and utilization of the materials. Further, the application of AI technology with Deep Learning technology can assist in monitoring the health conditions of the tools and allow the industry to save maintenance costs of the tools while optimizing the quality of the products. Consequently, the technology of machine learning could be utilized in the manufacturing industry for facilitating adequate production planning and control through intelligent decision making by adequate data mining practice. Apart from that, the intelligent systems developed with the use of AI and deep learning have the potential of recognizing the changes in the process of manufacturing and assist in ensuring the safety of the processes and adequate quality of the products. Whereas, the technology of computer vision facilitates capturing and analysis of the images that assist in the automatic identification of the bar codes of the products along with ease of 3D inspection of the products. Also, the data mining technology could be implemented in the manufacturing industry that would extract knowledge from the existing data sets and help in the prediction or prevention of faults in the final products. Therefore, the application of digital technologies provides the opportunity to increase the efficiency in manufacturing industries through the automation of various processes.

Challenges in Manufacturing Industry
The inability to acquire the relevant data that could potentially drive the improved efficiency of the manufacturing industry is a challenging task as the algorithms of machine learning could be impacted due to the presence of inadequate information in the data. Further, the intelligent machines that would be developed using the corresponding digital technologies need adequate capabilities of flexibility, intelligence and adaptability that would require optimal designs with smart sensing features. Also, the use of computer vision in the manufacturing industry involves high infrastructural costs of setting up high-resolution cameras for high-quality images. Hence, the use of digital technologies has challenges of data collection, high infrastructural costs, and the need for adequate flexibility for efficient performance.

Conclusion
The technologies of Artificial Intelligence, Deep Learning, Computer Vision, and Data Mining complement each other to improve the efficiency of various processes in different industries. These technologies have the potential to be implemented in the manufacturing industry as they provide the opportunity to ensure intelligent energy consumption and better safety management. Besides that, these technologies could benefit the manufacturing industry by automating different processes and ensuring the quality of the products through data mining. However, the implementation of the technologies could be challenging due to the high infrastructural costs and lack of appropriate data for developing adequate algorithms along with the need of accurate designs and smart sensors.