Patent attributes
The present disclosure relates to an imaging system and a detection method. The detection method includes the following steps. Receiving, by a processing unit of the image system, multiple recognition label data sets transmitted from multiple terminal devices. Determining a matching degree value between the recognition label data sets and an image data, and obtaining multiple weight values from a storage unit corresponding to the terminal devices. Setting the weight values and the corresponding matching degree values as multiple label points, and classifying the marker points into multiple cluster groups by a clustering algorithm. Calculating a centroid of the largest cluster group. The centroid of the largest cluster group corresponds to a clustering weight value and a clustering matching value. When the clustering weight value or the clustering matching value meets an adjustment condition, adjusting a neural network unit according to the largest cluster group.
