Target self-adaptive visible near-infrared detection light source posture adjusting device and method

Abstract

The invention relates to a target self-adaptive visible near-infrared detection light source posture adjusting device and method. The device comprises a panel, wherein a fixed plate is arranged abovethe panel in parallel and is in sliding connection with the panel through a support structure; a mounting through groove is formed in the fixed plate, a plurality of light source modules are arrangedon the edge of the mounting through groove, and each light source module is rotationally connected with the edge of the mounting through groove; an integrating sphere is arranged in the position, corresponding to the mounting through groove, of the panel, light emitted by the light source modules penetrates through the to-be-detected fruit to reach the integrating sphere, the integrating sphere isprovided with a signal processing mechanism in a matched mode, and the signal processing mechanism is used for analyzing the light collected by the integrating sphere to obtain a detection map. According to the near-infrared fruit detection device, the light intensity can be adjusted by opening different numbers of light source modules, the emergent light angle of the light source modules can beflexibly adjusted, and the application range is wide. In addition, three-dimensional adjustment of the positions of the light source modules can be achieved through the support structure, and the precision and efficiency of position adjustment are improved.

Description

technical field [0001] The invention relates to the technical field of fruit detection, in particular to a target adaptive visible and near-infrared detection light source attitude adjustment device and method. Background technique [0002] The traditional fruit quality detection method is destructive detection, the sample pretreatment operation is complicated, the detection cycle is long, and the subjectivity is strong. Therefore, rapid nondestructive testing technology has gradually become the mainstream of fruit industry testing. In recent years, the visible-near-infrared spectroscopy technology has a relatively good spectral transmittance, and the detection parameters have little influence on the detection accuracy. Under the full spectrum transmission, the same detection parameters can almost adapt to the quality detection of most small thin-skinned fruits. good application. However, for different large thick-skinned fruits, due to factors such as large differences in...

AI Technical Summary

Problems solved by technology

This kind of adjustment of light source parameters directly by manually moving the light source equipment is not only relatively low in accuracy, but also easily introduces human errors, and the entire adjustment process requires a lot of manpower and material resources, which is not conducive to the reduction of detection costs.

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