基于二维码图像识别的数据传输研究

Research on data transmission based on two-dimensional code image recognition

对于现有单向网闸无法实现真正物理隔离的问题,通过基于二维码图像识别的单向数据传输,实现了严格的物理隔离和单向通信。针对编码端,提出了多线程并发编码和彩色二维码矩阵,有效提升了编码效率和传输可靠性。对解码端进行了优化,引入自感知格点校正、位置缓存加速识别以及基于机器学习的色彩分类,实现了高速、准确的解码过程。最终,实现了一个基于图像识别的单向隔离系统,确保数据在编码端和解码端之间的严格物理隔离传输。

For the problem that the existing one-way network gate can not achieve real physical isolation,through the one-way data transmission based on two-dimensional code image recognition,strict physical isolation and oneway communication are realized.For the coding end,multi-thread concurrent coding and color two-dimensional code matrix are proposed,which effectively improves the coding efficiency and transmission reliability.The decoding terminal is optimized,and self-sensing lattice correction,location cache accelerated recognition and color classification based on machine learning are introduced to realize high-speed and accurate decoding process.Finally,a unidirectional isolation system based on image recognition is implemented to ensure the strict physical isolation of data transmission between the encoding end and the decoding end.