Abstract: A method for identifying a tool anomaly of an printed circuit board (PCB) manufacturing process comprising a plurality of phases, the method comprising the steps of: obtaining image data of at least one tool of the PCB manufacturing process; inputting the image data to a machine learning module, the machine learning module configured to perform the following steps: extracting, from the image data, a tool feature image data of the at least one tool; classifying the image data into a phase of the plurality of phases; and determining, based on the classified image data and the tool feature image data, an anomaly state of the at least one tool.