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Automated Visual Inspection and Measurement System
This is the Automated visual inspection and measurement system with next generation deep learning video analysis. Versatile, scalable, and modular platform contends with the most challenging inspection applications. The simple interface enables non-experts to capture and label their image dataset, optimize training parameters, and train inspection models. The inspection models can be used to identify, detect, classify, measure, and count a wide range of part defects. Decision-making can be completely automated or used to assist the operator in making the final decision.
Features
• Automated visual inspection and measurement using deep learning & machine learning. • Supports a range of model types: object detection, anomaly detection, instance segmentation, classification. • User-friendly interface that allows non-experts to capture images, label datasets, set training parameters, and train inspection models. • Configurable settings: magnification, illumination, thresholding, reporting format, etc., to adapt to different use-cases. • Actionable metrics: precision, recall, training loss etc., to assess and improve model performance. • Modular platform: includes additional swagger like automatic measurement, project sequencing, and industrial communications. • Eliminates subjectivity in inspections, increases throughput, reduces material waste, and lowers labor/expertise requirement.