3results about How to "Accurate border" patented technology

The present application relates to a kind of structure inference, automatic analysis and standardized output of multi-variant BOM table, belong to electronic manufacturing data processing, table analysis and structured data cleaning field.The present application constructs a set of analysis architecture for multi-variant BOM table by the modular processing link of "title row detection-column head normalization-multi-column identification-variant reconstruction-segment cleaning-intelligent inheritance-standardized output", robustly locates complex table head by strong and weak evidence weighting and verification under-probing mechanism, realizes the split and identification of multiple quantity columns using stop mark and semi-finished product number analysis, and introduces cross-row backfilling and position number inheritance rules under paragraph constraint, effectively solves the analysis problem caused by template difference, multi-column variant and information loss, realizes the automation, precision and standardization of BOM data from messy input to engineering level standardized output, significantly reduces manual intervention and improves data quality.

The invention belongs to the field of image region segmentation, and particularly relates to an AI-based colorectal tumor image region segmentation method and system, and the method comprises the following steps: S1, obtaining original 3D colorectal tumor image data; according to the method, the high-quality 3D colorectal tumor image data is processed through the surface parameterization technology, the obtained 2D feature map is more suitable for processing the hybrid FMU-attention network model, and the processing efficiency and the processing speed of the hybrid FMU-attention network model are greatly improved; in addition, an AI framework is formed by jointly fusing a hybrid FMU-attention network model, a Vision Transformers module and a DeepLabV3 + model, the AI framework enables the boundary to be more accurate and the multi-scale performance to be more excellent, and it is ensured that the tumor can be effectively recognized and segmented regardless of the size.

The application discloses a kind of dynamic electronic fence generation methods for car, this method first gathers vehicle information after denoising, excavates risk area and permanent site, generates initial risk area model with boundary coordinates and risk level;Again, administrative division, road vector data are fused, and three-dimensional hierarchical fence structure is constructed, and fence boundary is optimized by Douglas-Pork algorithm and cubic B-spline function;Then according to the real-time driving state of vehicle, the fence radius is dynamically adjusted by linear inflation algorithm, and the alarm sensitivity is controlled by classification, to generate dynamic fence configuration;Finally, based on state machine model monitoring vehicle positioning, combined with priority arbitration, hysteresis comparison mechanism handles fence switching and boundary jitter, filters redundant alarm through time sliding window and behavior intention analysis, generates warning report with context.The application realizes the dynamicization of electronic fence, multi-level management and control, improves the accuracy and adaptability of vehicle risk control monitoring, and reduces the false alarm rate.