Machine Vision + Deep Learning
Machine vision + deep learning is an algorithm model with self-learning ability built based on deep learning as the core technology, which performs defect detection on industrial products, and uses image annotation data as a sample to generate optimization models，so as to improve the quality inspection efficiency and yield management of industrial products. It can be used for workpiece size detection, planarity and thickness detection, object recognition and counting, target detection of appearance defects, image segmentation, image classification, etc.
3D vision+intelligent guidance
Based on point cloud data analysis and transformation, 2D/3D information of objects is extracted and analyzed, and hardware such as intelligent robots are equipped to achieve object module assembly, object positioning, workpiece placement, workpiece sorting, and other goals.
Big Data+Machine Learning
Use the Data Link tool to deeply penetrate the entire manufacturing process and form a factory business database. Establish an industrial big data center, commercialize data, and achieve intelligent feedback and decision-making assistance for a panoramic view of factory production and operation through machine learning, convolutional networks, business modeling, and other methods.
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