"Artificial intelligence-based image processing technology plays a vital role in industrial manufacturing processes, where it is widely applied in quality inspection on production lines, defect detection in products, and automated process control. The integration of convolutional neural networks (CNNs) has significantly enhanced image analysis accuracy and efficiency. As a result, there is a growing demand in the labor market for personnel with knowledge and expertise in this field. However, the learning process for this technology is complex and often difficult to grasp, while access to learning materials and equipment remains limited and expensive, falling short of learners' needs."

This cover image is derived from the published article by Thanwa Pamonbuth et al. entitled Developing An Object Detection Using Convolutional Neural Networks Demonstration Kit. For more information, click here.