Machine vision is an improving technology that’s likely to be implemented in more and more applications. And there are increasing demands placed upon the processing of images gathered by cameras in all applications including industrial machine vision. The Industry IoT Consortium (IIC) has published a fairly comprehensive paper on the options for processing images/data from cameras in industrial applications. It’s called Optimal Use of Cloud and Edge in Industrial Machine-Vision Applications.
Daniel Young, a Senior Manager at Toshiba explained: “Understanding where image processing should occur is an engineering decision based on many different factors. For example, cloud computing offers industrial applications flexibility and scalability for machine learning models, while edge computing is best for real-time industrial tasks.” The paper will help with understanding these issues.
It covers:
Applications of Industrial Machine Vision
Edge computing strengths and limitations
Strengths and limitation of cloud computing
Smart cameras and their uses in industry
AI considerations in machine vision
The report is only about fourteen pages long and it’s an easy read yet informative. Get a copy by visiting iiconsortium.org and searching for the title.