基于树莓派的生物样本二维码识别系统的研究  

Research on Two-Dimensional Bar Code Recognition System for Biological Samples Based on Raspberry Pi

作　　者：葛达 张广腾 王美晨 苟奇发 王纪鹏 吴畅 陈亚东 

机构地区：[1]沈阳工业大学电气工程学院,辽宁 沈阳

出　　处：《人工智能与机器人研究》2025年第1期82-90,共9页Artificial Intelligence and Robotics Research

基　　金：辽宁省教育厅面上项目(JYTMS20231205)。

摘　　要：为了解决生物样本存储于密闭空间时,由于光照不均匀而导致的二维码识别率不高的问题,本文设计了一种基于树莓派的生物样本二维码识别系统。该系统硬件主要由计算机、树莓派、图像采集模块、设备外壳与平行光源组成,软件采用多种图像处理算法,实现对生物样本二维码的高精度识别。In order to solve the problem that the two-dimensional bar code recognition of biological samples is difficult due to uneven illumination when stored in confined spaces, a two-dimensional bar code recognition system for biological samples based on Raspberry Pi was designed and manufactured in this paper. The hardware of the system is mainly composed of a personal computer, a raspberry pi, a camera, a device shell and a parallel light source, and some image processing algorithms are used to achieve high-precision recognition of the two-dimensional bar code of biological samples.

关 键 词：树莓派 生物样本二维码 图像处理算法 

分 类 号：S66[农业科学—果树学]