8results about How to "Reduce recognition errors" patented technology

This application discloses a training method, application method, apparatus, and device for a text correction model. The related embodiments can be applied to various scenarios such as artificial intelligence to improve the accuracy of typo recognition. The method of this application includes: outputting a first text probability distribution corresponding to each character in the training sample to be corrected through a text correction model; calculating a correction loss value corresponding to the training sample to be corrected based on the first text probability distribution corresponding to each character; replacing any original character in the training sample to be corrected except for the original typo to construct a noise sample corresponding to the training sample to be corrected; obtaining a second text probability distribution corresponding to each character in the noise sample; calculating a noise loss value corresponding to the training sample to be corrected based on the first and second text probability distributions; and adjusting the parameters of the text correction model based on the correction loss value and the noise loss value to obtain the target text correction model.

This invention discloses a method and system for identifying abnormal driver behavior based on continuous learning, relating to the field of driving behavior detection technology. The method includes dividing a driver monitoring image into image blocks and projecting them into feature vectors, adding positional encoding, and combining extracted prompt features with segmentation into prompt vectors to achieve dual coverage of global and key local features, improving feature extraction accuracy. The two types of vectors are concatenated into a fused feature sequence, input to a pre-trained Vision Transformer model with frozen parameters, and enhanced features are extracted through a self-attention mechanism. Then, a global feature vector is obtained through average pooling. Continuous learning is achieved by outputting a vector of all seen task logic values, using a binary mask for filtering, and classifying using the argmax function. This allows for adaptation to behavior category expansion, balancing real-time performance with stability in complex environments, improving the accuracy of similar behavior recognition, and making it easily deployable in in-vehicle scenarios.

The application relates to the technical field of household appliances, and discloses a cleaning brush and a control method thereof. The cleaning brush comprises a main machine, a handle and a machine head. The machine head is connected with the main machine and comprises a water tank and brush hairs. Cleaning medium is arranged in the water tank, and the brush hairs are arranged at the bottom of the water tank. An atomizing water spraying device is arranged at the bottom of the water tank and communicates with the inside of the water tank. The other end of the atomizing water spraying device is provided with a nozzle. The atomizing water spraying device is used for atomizing the cleaning medium and spraying the atomized cleaning medium to a surface to be cleaned and the brush hairs. Compared with the related art, the water tank and the atomizing water spraying device are integrated in the brush head, so that an additional handheld water pipe, a shower for humidification or frequent wetting of the brush hairs is not needed, the cleaning operation process is simplified, and the use convenience is remarkably improved.

The present application provides a kind of based on multi-source vision sensor fusion's blast furnace slag iron flow detection method and system, belongs to blast furnace slag iron flow detection technical field, including: hyperspectral image data input slag iron ratio estimation model, the composition of molten iron and slag is identified and separated, extract the spatial distribution information of iron phase and slag phase, calculate slag iron ratio;Slag iron flow time series data input time series visual flow velocity perception model, the dynamic analysis of slag iron flow flow process, extract time evolution characteristics and flow trajectory information, calculate slag iron flow velocity;Three-dimensional point cloud data input three-dimensional point cloud reconstruction flow section analysis model, the spatial form of slag iron flow is modeled and analyzed, extract three-dimensional geometric structure and cross-sectional shape characteristics, calculate slag iron flow cross-sectional area.Slag iron ratio, slag iron flow velocity, slag iron flow cross-sectional area are jointly modeled, the adaptive calculation of slag iron flow mass flow is carried out, and slag iron flow detection result is output.The present application can effectively carry out slag iron flow detection.

The application provides a workpiece free edge automatic machining method and device, the method comprises the following steps: scanning a workpiece to be machined through a scanning module to obtain scanning data, extracting workpiece contour data of the workpiece to be machined from the scanning data, identifying a workpiece free edge to be machined in the workpiece contour data, and obtaining a machining data range of the workpiece free edge; before machining the workpiece to be machined, detecting actual position data of the workpiece free edge in the machining data range through a detection module, updating the machining data range based on the actual position data; and controlling a machining module to machine the workpiece free edge based on the updated machining data range. Through the design of automation, precision and intelligence, the application solves the problems of inaccurate identification and low efficiency in large workpiece machining.

This invention discloses a method and system for identifying waste materials based on multimodal fusion, belonging to the field of intelligent waste material identification technology. The method involves acquiring visible light image data, depth structure data, and near-infrared spectral response data of the waste materials to be identified; obtaining candidate regions from the visible light image data and extracting a set of morphological features based on the depth structure data; extracting material reflection curves from the near-infrared spectral response data; extracting texture distribution features and color stability features from the visible light image data and generating a set of structural consistency features based on the morphological features; constructing a fusion feature vector by performing cross-modal association mapping on multiple features and inputting it into a waste material identification model to obtain candidate identification results; identifying key feature subsets through local sensitivity analysis and reconstructing the weights of the fusion features; and performing classification again to output the final identification result. This invention can effectively improve the accuracy and stability of waste material identification in complex recycling scenarios.

The application provides a kind of animation style virtual person animation real-time generation method and system, comprising: extracting multidimensional style features from animation reference map, wherein multidimensional style features include line drawing features, color features, texture features and character form features;From real-time captured portrait video, extract portrait key point sequence and interactive object sequence, and generate dynamic semantic identity anchor point stream according to interactive object sequence;With portrait key point sequence as structural constraint condition, with multidimensional style features as global guidance, dynamic semantic identity anchor point stream is embedded into latent space as hidden variable constraint, and controlled diffusion reasoning is carried out in latent space, to obtain animation latent feature frame sequence;Three-dimensional causal decoding and time domain smoothing filtering are carried out on animation feature frame sequence, to obtain smooth animation frame sequence;Real-time style feedback and style correction are carried out on smooth animation frame sequence, to obtain virtual person animation.

Provided are an analysis device, an analysis method, and a storage medium that can analyze the state of an electrode provided in a battery with high precision. The analysis device of the embodiment is an analysis device of an active material layer of an electrode of a secondary battery, which includes: an acquisition unit that acquires image data that represents an active material in the active material layer after ion milling processing and a gap or a filler between the active materials by using a difference in brightness; and a comparison unit that compares a pattern of the difference in brightness between the image data in at least two different states of the active material layer.