In industrial manufacturing, the analysis of image data enhances monitoring and optimizes defect detection. Standardized processes allow the use of machine learning (ML) to handle complex image signals. For more challenging tasks, AI models like Convolutional Neural Networks (CNN) offer more effective solutions. Discover how pre-trained models boost efficiency and the benefits this technology brings to real-world applications.
This article is focused on areas where analytics are being used close to the production environment. Manufacturing companies obviously have other areas like marketing and customer relations etc. where they can benefit from insights generated from data as well. Examples for analytics close to production are: In research and development, to design experiments efficiently and […]
Machine Learning describes a collection of algorithms that learn from data. This is useful to gain insights and to make predictions. These algorithms can detect relations that were previously unknown to the users. Machine Learning contains many different algorithms, older and more recent ones, as well as complex and simple ones. Brief history lesson: Many of […]
In the dynamic landscape of manufacturing, enterprises are facing multiple challenges that can impact their bottom line and competitiveness. From supply chain disruptions to quality control issues and sustainability concerns, the complexities are vast. However, amidst these challenges lies a beacon of hope—data analytics and machine learning. Leveraging these powerful tools, particularly through platforms like […]