6results about How to "Strong perception" patented technology

The application provides an industrial product quality prediction method, device and medium, the method comprises the following steps: obtaining multivariate time series data of an industrial process, and dividing the multivariate time series data into a training set and a test set; obtaining enhanced frequency domain features corresponding to the training set through discrete Fourier transform; performing topological preservation and low-dimensional projection processing on the enhanced frequency domain features through a complex frequency domain self-organizing map (SOM) network to obtain SOM projected frequency domain features; designing a time-frequency attention fusion mechanism containing time domain features and SOM projected frequency domain features, and constructing a time-frequency attention fusion network model based on the time-frequency attention fusion mechanism and a time convolution network to capture global-local time patterns; and inputting the test set into the time-frequency attention fusion network model to obtain a predicted value of the industrial product quality. The method, device and medium can solve the problem that existing industrial product quality prediction methods cannot adaptively fuse time domain and frequency domain features, resulting in low accuracy of industrial product quality prediction.

The invention discloses an intelligent stereoscopic warehouse system and method based on a laser demarcation device, and belongs to the technical field of intelligent warehousing. The system establishes a high-precision space coordinate system for a warehouse through a space reference network formed by fixed laser demarcation devices; the mobile device visually perceives the network to realize submillimeter-level accurate positioning, scans the goods allocation by using a laser demarcation device carried by the mobile device, and perceives the state of the goods allocation in a non-contact manner; the central processing system is integrated with a digital twinning technology, inventory can be managed, and warehouse structure deformation can be monitored by analyzing long-term change of reference laser. The problems that a traditional stereoscopic warehouse is large in positioning accumulative error, goods location sensing depends on a large number of sensors, and the self-calibration capability is lacked are solved, and the precision, reliability and intelligent level of the system are remarkably improved.

The application discloses a SAM2 small sample segmentation method based on semantic-visual double memory fusion, constructs semantic query memory, visual query memory and query related support visual memory, fuses the semantic query memory and the visual query memory through a memory refinement module guided by the query related support visual memory, and combines SAM2 dense matching and decoding module end-to-end training. The method solves the single memory and foreground-background confusion problems of the existing method, enhances target semantic consistency and fine-grained modeling capability, significantly improves segmentation precision and generalization capability in a complex scene, and is suitable for medical image analysis, automatic driving and the like.

The utility model provides hand-wearable blind guiding equipment. The hand-wearable blind guiding equipment comprises a packaging shell; the control panel is arranged in the packaging shell; the upper fixing plate is fixedly connected with the packaging shell, and one face of the upper fixing plate is a continuous arc-shaped curved face and used for being attached to one side of an arm; the lower fixing plate is detachably connected with the upper fixing plate, and the face, facing the upper fixing plate, of the lower fixing plate is a continuous arc-shaped curved face and used for being attached to the other side of the arm; the power supply module is arranged in the packaging shell, is electrically connected with the control panel and is used for supplying power to the control panel; the holder is rotatably mounted on one side of the packaging shell; the depth camera is rotatably connected with the holder, and the holder is used for keeping the stability of the depth camera; the earphone is in communication connection with the control panel and is used for playing voice prompts; and the more than two vibration fingerstalls are in communication connection with the control panel, and the vibration fingerstalls are used for sending vibration signals. The problems that in the prior art, visually impaired people are inconvenient to go out, and an ultrasonic sensor scheme is not high in reliability are solved.

The invention provides a feature extraction and fusion reconstruction method, an electronic device, a medium and a product, the feature extraction and fusion reconstruction method comprises the following steps: obtaining channel time sequence data, and carrying out dimension standardization and time sequence arrangement on the channel time sequence data to obtain preprocessed data; pCA dimension reduction processing is carried out on the preprocessed data, and static features are extracted; sampling the preprocessed data by adopting a sliding window, and constructing a time sequence sample; extracting dynamic characteristics of the time sequence samples; performing full-connection mapping on the static features; performing feature splicing and regression output on the static features and the dynamic features; and training, testing, evaluating and visualizing the output result. According to the feature extraction and fusion reconstruction method, the static space feature and the dynamic time-varying feature of the channel can be precisely restored, high-precision channel modeling and reconstruction of a millimeter wave communication system in a dynamic environment are achieved, robustness, stability and channel estimation performance are good, delay is short, and generalization ability is high.

This disclosure provides a flexible tactile sensing system and a wearable device. The flexible tactile sensing system includes electronic skin and a driving device. The electronic skin includes a piezoresistive functional layer and an electrode layer. The piezoresistive functional layer contacts an object to be grasped and detects the pressure of the grasped object, while the electrode layer contacts the skin of the hand. The driving device includes a control module and a current source module. The control module is electrically connected to the piezoresistive functional layer and the current source module. The control module receives the pressure signal from the piezoresistive functional layer and controls the current source module to output current to the electrode layer. The electronic skin also includes an insulating substrate layer. The piezoresistive functional layer includes multiple spaced pressure detection patches, and the electrode layer includes multiple spaced electrode patches. The pressure detection patches and electrode patches are arranged in pairs and are correspondingly distributed on two opposing surfaces of the insulating substrate layer. By amplifying and converting minute contact forces into multi-dimensional electrical stimulation signals, the patient's tactile feedback loop can be effectively reconstructed.