6results about How to "Reduce false reject rate" patented technology

The invention relates to a device and method for detecting protrusions on the surface of the inner wall of a wine bottle opening, and the device comprises a pedestal which is used for placing a to-be-detected wine bottle; the stand column is arranged on the base; the supporting plate is arranged on the stand column, and the supporting plate and the base are arranged in parallel; the operating rod is arranged on the supporting plate and can vertically and freely move; the detection plunger is arranged on the operation rod, the detection plunger and the to-be-detected wine bottle are kept coaxial, and the detection plunger extends into a bottle opening of the to-be-detected wine bottle under the movement of the operation rod so as to be in close contact with the inner wall of the bottle opening; the detection plunger can sense the change of the pressure value when tightly contacting with the bulge on the surface of the inner wall of the bottle opening of the wine bottle to be detected, and whether the surface bulge exists is judged according to the change of the pressure value. The device can quickly detect the condition that the inner wall of the bottle opening of the wine bottle has bulges and the like, discovers and rejects unqualified products in time, and ensures the product quality.

The invention discloses an intelligent agricultural product sorting method based on physical feature iterative optimization and a related device, and belongs to the technical field of agricultural product sorting. The method comprises the following steps: collecting a surface reflection image and a near-infrared transmission image of an agricultural product to be sorted; using homomorphic filtering to carry out anti-wrinkle preprocessing on the surface reflection image; extracting physical feature vectors of the two images; iterative optimization is carried out based on the physical characteristic matrix, an optimal judgment threshold parameter combination is obtained, feature extraction and judgment are carried out on agricultural product images collected in real time, and an execution mechanism is controlled to complete the sorting action according to encoder signals and a delay compensation mechanism. According to the method, morphological interference is solved through homomorphic filtering, interpretability detection of quality is achieved through white-box physical characteristic quantification, top-speed self-adaption of parameters is achieved through matrix iteration, and therefore precise and intelligent sorting of complex agricultural products is achieved.

The application provides a credit business risk control decision method, device, equipment and medium based on multi-source data fusion, which comprises the following steps: acquiring multi-source data related to the subject identifier of a credit subject; performing entity analysis and alignment on the multi-source data based on the semantic features of each entity in the multi-source data, and constructing an initial knowledge graph; performing fusion and conflict resolution on the multi-source data through a space-time decay fusion model based on the confidence score of each data source in the initial knowledge graph and the corresponding time decay weight, performing entity screening on the initial knowledge graph based on the fusion result, and obtaining an optimized knowledge graph; for each entity node associated with a heterogeneous data source, calling a scoring model adapted to the data characteristics thereof, and generating a comprehensive credit score through a model integration mechanism; and determining a risk control decision for the credit subject based on the comprehensive credit score. The method, device, equipment and medium provided by the application realize accurate and efficient risk control decision, and significantly improve the risk identification accuracy.

The invention relates to the technical field of image enhancement, and provides a food impurity detection method based on a spectrum technology, which comprises the following steps: acquiring spectrum image data and built-in reference plate data on line, and normalizing original data through real-time self-calibration to form standard spectrum characterization; performing motion and illumination disturbance compensation on the standard spectrum characterization, and establishing a material spectrum fingerprint database containing material category and source information based on the collected standard spectrums of the impurity material and the contact part material; performing rapid screening and connected domain extraction on the compensated spectral representation to obtain a candidate region, calculating the similarity and the novelty of the candidate region and the fingerprint database, and triggering local reinspection when the similarity falls into an uncertain interval or the novelty exceeds a preset threshold value to determine the category and the position of an impurity; and outputting a multi-dimensional detection result, and performing controlled updating and version management on the fingerprint database and the candidate screening threshold value based on a confirmation sample.

An embedded optical fingerprint display device comprises a substrate, a plurality of pixel units disposed on the substrate and arranged in a matrix, and a transparent cover disposed on the plurality of pixel units, wherein at least one pixel unit comprises: a display pixel unit having a red sub-pixel unit, a green sub-pixel unit and a blue sub-pixel unit disposed on the substrate; and a fingerprint pixel unit having an optical fingerprint sensor disposed on the substrate, and a specific color resist disposed on the optical fingerprint sensor, wherein the specific color resist is a blue resist or a green resist.