基于Python与Zbar的无人机盘点条形码识别研究

Study on UAV Inventory Bar Code Identification Based on Python and Zbar

文中针对立体仓库内部利用无人机进行大件货物盘点环境下条形码图像识别问题进行研究,提出了适合此种环境下的条形码识别方法。首先通过无人机拍摄终端拍摄图片,进而利用Python与相关数字图像处理模块进行图像预处理、条形码定位,最终利用Zbar开源条形码识别工具进行条形码译码,将结果与数据库内的记录进行比对,完成盘点。实验证明,此方法与直接利用原图和Zbar条形码识别模块的识别结果相比,识别率提高,效果较为理想。

In this paper,the problem of bar code image recognition in the environment of large-scale goods inventory using the UAV inside a 3 D warehouse is studied,and a bar code identification method suitable for this environment is proposed.Firstly,the UAV photographs the terminal to take pictures,and then uses Python and related digital image processing modules to perform image preprocessing and bar code positioning. Finally,Zbar＇s open source bar code recognition tool is used for bar code decoding,and the results are compared with the records in the database. Complete the inventory. Experiments show that compared with the recognition results of the direct use of the original bar graph and Zbar bar code recognition module,the recognition rate is improved and the effect is ideal.