Abstract: A vision inspection system includes a vision inspection controller receiving images form an imaging device. The vision inspection controller includes a binary classification tool and a multi-classification tool. The vision inspection controller processes each of the images through the binary classification tool to detect for the defects to determine primary inspection results including a PASS result if no defects are detected and a FAIL result if defects are detected. The vision inspection controller processes each of the images associated with the FAIL result through the multi-classification tool to determine secondary inspection results including identification of a type of defect. The vision inspection system may include a display configured to display the primary and secondary inspection results to an operator.

Abstract: A part inspection system includes a vision device configured to image a part being inspected and generate a digital image of the part. The inspection system includes a part inspection module communicatively coupled to the vision device and receiving the digital image of the part. The part inspection module includes an image quality module. The image quality module analyzes the digital image to determine if the digital image achieves a quality threshold. The image quality module generates an image quality output based on the analysis of the digital image. The part inspection module includes an image classifier module. The image classifier module analyzes the digital image to classify the image as a defective part or a non-defective part.

Abstract: A self-calibrating inspection system includes an inspection device adapted to visually inspect or measure an article placed on a carrier, and a motion actuator moving the inspection device along a predetermined motion trajectory relative to the carrier and the article placed thereon. A correction member of the system is fixedly positioned with respect to the carrier. A distance sensor is fixedly positioned relative to the inspection device and adapted to sense a first spacing between the distance sensor and the correction member during the movement of the inspection device by the motion actuator.

Abstract: A part inspection system is provided and includes a vision device configured to image a part is inspected and generate a digital image of the part. The part inspection system includes a part inspection module coupled to the vision device and receiving the digital image of the part. The part inspection module includes a memory for storing a neural network architecture having a plurality of convolutional layers, a plurality of pooling layers disposed after different convolutional layers and spaced apart from each other, at least one random noise generation layer downstream of the convolutional layers and the pooling layers, and an output layer. The part inspection module includes a processor configured to analyze the digital image through the layers of the neural network architecture to output one of a defective output or a non-defective output based on the image analysis of the digital image through the neural network architecture.