%0 Journal Article
%T 基于树莓派的生物样本二维码识别系统的研究<br>Research on Two-Dimensional Bar Code Recognition System for Biological Samples Based on Raspberry Pi
%A 葛达
%A 张广腾
%A 王美晨
%A 苟奇发
%A 王纪鹏
%A 吴畅
%A 陈亚东
%J Artificial Intelligence and Robotics Research
%P 82-90
%@ 2326-3423
%D 2025
%I Hans Publishing
%R 10.12677/airr.2025.141008
%X 为了解决生物样本存储于密闭空间时&#65292;由于光照不均匀而导致的二维码识别率不高的问题&#65292;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&#65292;软件采用多种图像处理算法&#65292;实现对生物样本二维码的高精度识别。<br>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.
%K 树莓派&#65292
%K 生物样本二维码&#65292
%K 图像处理算法<br>Raspberry Pi
%K Two-Dimensional Bar Code of Biological Sample
%K Image Processing Algorithms
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=105337