6results about How to "Strong resolution" patented technology

The invention discloses a ring main unit fault processing method and device, a storage medium and a program product, and belongs to the technical field of power distribution automation. The method comprises the following steps: deploying a current sensor, a voiceprint sensor, a vibration sensor and an arc light sensor in a ring main unit, and synchronously collecting an electrical signal, a sound signal, a vibration signal and an optical signal when a fault occurs; carrying out preprocessing and feature extraction on the collected multi-modal data to obtain multi-dimensional feature parameters such as current amplitude, spectrum features, vibration energy and light intensity features; and calculating fault confidence based on a weighted fusion algorithm, and outputting fault type and position information when the confidence exceeds a judgment threshold. By fusing electrical quantity and non-electrical quantity information, real fault and non-fault disturbance can be distinguished, atypical faults such as high-resistance grounding and arc faults can be accurately identified, the false alarm rate is reduced, the reliability and the intelligent level of a ring main unit protection system are improved, and the method is suitable for intelligent operation and maintenance scenes of an urban power distribution network.

The application discloses a kind of fast moving face recognition method and system based on multi-frame image enhancement, comprising the following steps: through imaging device acquisition multi-frame image sequence, obtain multi-frame image after pre-processing;The multi-frame image after pre-processing is input into the improved MonST3R network, carries out spatial alignment and structure analysis, obtains the image after alignment and three-dimensional structure information;The above result is input into CRNet network, separates and enhances multi-scale feature, and obtains enhanced feature;Enhanced feature is input into space-time attention fusion module, and multi-frame feature representation is obtained by weighted fusion;Fusion feature is input into identification network, and dimension reduction is carried out, and face embedding feature vector is obtained;Similarity comparison is carried out between embedding feature and database template, and recognition result and confidence prompt are output.The application can realize efficient, accurate and resource-friendly face recognition under dynamic complex environment.

The invention provides a method for evaluating compound amoxicillin powder, which belongs to the technical field of medicine detection, and comprises the following steps: detecting the content of an effective component of a medicine, and recording the content as the content A of the effective component; enabling the medicine to sequentially pass through the simulated gastric acid environment and the simulated small intestine environment, detecting the active ingredient content of the medicine after passing through the simulated gastric acid environment, recording the active ingredient content as an active ingredient content B, and detecting the active ingredient content of the medicine after passing through the simulated small intestine environment, recording the active ingredient content as an active ingredient content C; and counting the content change of the effective components of the medicine, and evaluating the compound amoxicillin powder. According to the technical scheme provided by the invention, the purposes of simplifying the evaluation method and reducing the cost are achieved.

This utility model provides a wide-angle optical system and its application camera lens, mainly composed of 7 lenses. The first lens has a convex object plane and a concave image plane, with negative optical power. The second lens has concave object plane and image plane, with negative optical power. The third lens has convex object plane and image plane, with positive optical power. The fourth lens has convex object plane and image plane, with positive optical power. The fifth lens has convex object plane and image plane, with positive optical power. The sixth lens has concave object plane and image plane, with negative optical power. The seventh lens has a convex object plane and a concave image plane, with positive optical power. The high-pixel machine vision recognition optical system configured in this application has the advantages of high pixel count, strong resolution, and ultra-wide-angle design. It has a compact structure, is easy to process and install, and further improves the imaging effect of the equipment paired with the system.

The invention discloses a DRF-Net-based small target detection method under a view angle of an unmanned aerial vehicle. Constructing an unmanned aerial vehicle aerial photography small target detection data set; a frequency domain guide feature enhancement module FCSA is introduced in the shallow layer stage of the backbone network; a multi-frequency reconstruction module MFRB is introduced in the high-level stage; constructing DRF-Neck in a neck structure, generating a saliency graph S based on MFRB output features, and introducing saliency-driven deformable convolution SAR-DCN, content aware recombination S-CARAFE and a dynamic feedback controller DFC to form a closed-loop optimization mechanism of saliency generation-self-routing convolution-dynamic feedback; and finally, the features are input into a decoupling detection head, network parameters are optimized through joint optimization of cross entropy loss and AHIoU loss, and a small target detection result in an unmanned aerial vehicle aerial photographing scene is output by using non-maximum suppression in a reasoning stage. Compared with the prior art, the method has the advantages that the detection precision on the unmanned aerial vehicle aerial small target data set is improved, and the method can be applied to the fields of unmanned aerial vehicle inspection, urban security monitoring, traffic target detection and the like.

This invention discloses an ultra-micro target imaging method and system. It receives the full-band reflected light field from an ultra-micro target illuminated by a full-band light source, performs high-frequency and low-frequency switching filtering on the reflected light, and collects the intensity information of the filtered reflected light. Fourier transform and wavelet transform are then performed on the intensity information to obtain global and local images. Global features of the global image are extracted, and local features of the local image are extracted. The global and local features are then fused, and an enhanced image of the ultra-micro target is obtained based on the fused features. This invention solves the technical problem of low imaging accuracy in existing ultra-micro target imaging systems, achieving ultra-high resolution, strong noise resistance, and fast imaging speed. It can effectively solve the chip imaging problem during eutectic bonding, and the entire system has a simple structure, low cost, and is easier to maintain.