2results about How to "Accurate detection and positioning" patented technology

This utility model relates to the field of beverage cup processing technology, and provides a novel automatic printing, packaging, and marking device for beverage cups. It includes a controller, a cup feeding mechanism, a cup conveying mechanism, a cup printing machine, a printed cup conveying mechanism, and an automatic printing, packaging, and marking device. The cup printing machine also includes a cup detection and pre-processing mechanism, which comprises an infrared detection mechanism and a pre-processing mechanism. The infrared detection mechanism includes a first support frame, an encoder, a servo motor, a rotating base, a supplementary light source, and an infrared ranging sensor. The pre-processing mechanism includes a second support frame, a high-voltage generator, a time-domain reflectometer, a positive electrode plate, and a negative electrode plate. The controller connects to and controls the high-voltage generator to perform oxidation polarization pre-processing on the cups via the positive and negative electrode plates. This utility model solves the problems of existing beverage cups requiring multiple reverse handling processes, quality inspection, and low production efficiency.

The invention relates to the technical field of multi-source detection and auxiliary positioning, in particular to a data fusion-based secret stealing equipment detection method and system. According to the method, multiple kinds of data including infrared thermal imaging original data, optical image original data, nonlinear response original data, radar echo original data and electromagnetic spectrum original data are collected, and the data are fused into a fusion feature vector through time synchronization, space synchronization and feature fusion methods; the fusion feature vector can effectively represent the data features of all the data types, so that effective integration of multi-source heterogeneous data is realized, and the multi-source data can be synthesized to detect secret stealing equipment. And finally, the fusion feature vector is analyzed through the multi-modal fusion model, and multi-source data are integrated to detect the secret-stealing equipment, so that accurate detection and positioning of the hidden secret-stealing equipment in the secret-related place are realized, and the detection precision, the environmental adaptability and the working efficiency of the secret-stealing equipment are remarkably improved.