2results about How to "Easy to identify automatically" patented technology

The utility model discloses a kind of compressor identification detection structure and breast machine for breast machine.The described compressor identification detection structure includes photoelectric detection module and compressor, the photoelectric detection module is installed in the installation port, the compressor is provided with the lead-in seat compatible with the installation port, the lead-in seat is provided with locking module and detection identification board, the locking module is locked in the installation port when the lead-in seat is inserted into the installation port, the detection identification board is detected by the photoelectric detection module when the lead-in seat is inserted into the installation port;Breast machine includes breast machine host, the breast machine host is provided with riser and bearing table, the bearing table is located below the riser, the riser is provided with installation port, the installation port is provided with the described identification detection structure, and the breast machine host is electrically connected with remote control system. The utility model is applied to the technical field of breast machine.

The present application relates to a kind of defect identification method of deep learning in ultrasonic infrared technology combined with space-time domain features, belong to nondestructive testing field, comprising: S1: the test piece is applied excitation, obtains the infrared thermal image sequence of measured object surface;S2: select the optimal foreground image number and background image number, carry out background reduction processing to thermal image sequence data, obtain temperature rise thermal image sequence;S3: select the image at a moment to carry out threshold segmentation;S4: all test pieces are divided into training set, verification set and test set;S5: to binary image is marked;S6: in training set and verification set according to temperature rise thermal image sequence, threshold segmented binary image and the annotation file of binary image, extract the one-dimensional space-time domain signal of white pixel point;In test set, extract the one-dimensional space-time domain signal of all white region;S7: space-time domain signal is input into defect identification model, obtain the binary image containing white region, white is defect.