3results about How to "Reduce judgment error" patented technology

This invention relates to the field of aluminum formwork inspection technology, solving the problem of insufficient accuracy and precision in the inspection and sorting of high-precision aluminum formwork for aluminum buildings due to the difficulty in comprehensively covering complex surfaces and nodes. Specifically, it discloses an inspection and sorting device and method suitable for high-precision aluminum formwork. The device includes a feeding input mechanism, an inspection and sorting mechanism, an output mechanism, and a temporary storage mechanism. The feeding input mechanism is located between the output mechanism and the temporary storage mechanism, and the inspection and sorting mechanism is located above the feeding input mechanism, output mechanism, and temporary storage mechanism. The method includes S100, feeding positioning and preprocessing; S200, multi-dimensional inspection data acquisition; S300, algorithm inspection data processing; S400, sorting execution; and S500, inspection data recording and scheduling. This invention is used for the inspection and sorting of high-precision aluminum formwork in aluminum building structures, improving the inspection effect by increasing the inspection coverage and accuracy of complex surfaces.

The invention belongs to the technical field of image data processing, and particularly relates to a garment quality judgment method and system based on image processing analysis, and the method comprises the steps: obtaining a garment image on a conveyor belt through an industrial camera, and executing the standardized spatial transformation through a standard Gaussian filtering smoothing and bilinear interpolation algorithm; extracting a gradient variance and a periodic texture feature mean value of a local region in the transformed image, and obtaining a texture suppression index based on a proportional relation between the gradient variance and the periodic texture feature mean value; obtaining a local gray scale deviation absolute value and gray scale consistency, and obtaining a stress distortion degree through algebraic saturation model mapping; calculating the product of the stress distortion degree and the texture suppression index, and obtaining a quality deviation degree in combination with the deviation degree of the product relative to a quality safety threshold value; and when the quality deviation degree exceeds a threshold value, automatic shutdown maintenance is realized by correcting the input frequency of the conveyor belt driving motor. According to the invention, the sensitivity and the automation degree of garment defect identification in an assembly line scene are improved.

The application relates to a wind-aiming device and a wind turbine generator unit, and relates to the technical field of wind power generation. The wind-aiming device comprises a reference object, a wind vane, a first angle detection member and a second angle detection member. The wind vane comprises a base and a body. The body is rotationally connected with the base, and the base is provided with an identification part. The first angle detection member is arranged on the reference object, and is used for detecting the included angle between the preset axis of the reference object and a reference direction. The second angle detection member is arranged on the identification part, and is used for detecting the included angle between the central axis of the identification part and the reference direction. The wind-aiming device and the wind turbine generator unit can calibrate the installation angle of the wind vane in the case that the cabin is deformed, improve the installation precision of the wind vane, reduce the determination error of the wind direction angle, and improve the power generation efficiency of the wind turbine generator unit.