基于计算机视觉的储粮活虫检测系统硬件设计

设计了基于可见光-近红外计算机视觉的储粮活虫检测系统,该系统主要由粮虫自动分离子系统、粮虫传输子系统、光照箱、图像采集子系统4部分组成。粮虫自动分离子系统可从粮食样本中快速、有效地分离出粮虫,并进行自动除尘;粮虫传输子系统可准确接收筛下物,并输送采集盒到图像视觉采集部分的正下方以供图像采集;光照箱可为采集盒中的筛下物提供均匀的可见光-近红外波段的漫反射光;图像采集子系统可同时采集筛下物的近红外图像和可见光图像。系统对危害严重的9类储粮活虫的筛分率达到96.06%。实验验证了该系统的可行性。

Hardware Design of Detection System for Stored-grain Live Insects Based on Computer Vision

The detection system for stored-grain live insects was developed based on visible-near infrared computer vision. The system included an automatic sieving subsystem of insects, an automatic transporting subsystem of insects, an illumination box and an image acquisition subsystem. The insects could be rapidly and efficiently separated from the grain sample, and removed dust automatically in the automatic sieving subsystem of insects. The automatic transporting subsystem of insects could accurately receive the sieve material, and transport the collection box to the image vision acquisition part for image acquisition. The even illumination chamber could provide even visible and near-infrared diffuse light for the sieve material in the collection box. The image acquisition subsystem could simultaneously acquire the visual image and the near infrared image of the sieve material. The sieving accuracy of the detection system was 96.06% for the nine species of the most destructive live insects. The experiment showed that the system was practical and feasible.