2results about How to "Overcome missed detection" patented technology

This application discloses a method and system for detecting coating defects on PVC flooring surfaces, relating to the field of coating defect detection. First, the original image containing strong specular reflection and low signal-to-noise ratio scratches is transformed to the frequency domain. Utilizing the principle that scratches, as linear structures, exhibit directional characteristics in the frequency spectrum, they are separated from large-area low-frequency background noise and glare signals, accurately identifying scratches of arbitrary direction in the current image and extracting their principal direction angle. Subsequently, based on this real-time detected directional information, an adaptive anisotropic filter that perfectly matches it is dynamically constructed. Finally, after filtering and inverse transformation, the characteristic signal of the scratches is significantly amplified, and the contrast is greatly improved, thereby achieving accurate segmentation and detection of weak, randomly oriented scratches under strong interference backgrounds, effectively overcoming the problems of missed detection and computational redundancy in traditional methods.

The invention relates to the technical field of agriculture and plant protection, and discloses a blueberry garden disease and insect pest green comprehensive prevention and control system construction method comprising the following steps: deploying a distributed sensing network comprising an acoustic sensing unit, a vibration sensing unit, a chemical sensing unit and an environmental parameter unit in a blueberry garden area, acquiring an original analog signal and converting the original analog signal into a standardized multi-mode data stream; the information fusion analysis module is used for determining space-time position information of a biological target, and a deep learning model is used for identifying biological types and behavior modes and evaluating the risk level of diseases and insect pests; a collaborative intervention instruction is generated by using the collaborative intervention decision module, and the behavior interference sound wave emission unit, the natural enemy intelligent release unit or the plant immune resistance inducer trace spraying unit is driven to execute collaborative intervention operation. According to the method, multi-mode accurate sensing and physical and biological collaborative treatment are realized, the blueberry quality is guaranteed, and self-adaptive optimization of a prevention and control strategy is realized.