Industrial automation demands the implementation of robust and efficient image recognition systems. A deep learning approach offers a powerful solution to achieve real-time image analysis, enabling reliable identification of objects, defects, and patterns within industrial environments. Deep neural networks can be trained on vast datasets of labele