Research on two-dimensional code cable equipment information extraction and security verification technology based on image processing algorithm

This paper delves into the extraction and secure verification technology of cable equipment information based on image processing algorithms, demonstrating how the combination of high-resolution cameras and circular LED lights effectively improves image quality to adapt to complex industrial environments. The research applies Reed-Solomon error correction algorithms and other advanced decoding techniques to ensure accurate data recovery even in the case of damaged QR codes. The article also introduces the application of digital signatures and timestamps in enhancing data anti-counterfeiting and authenticity verification, greatly enhancing the security and accuracy of the system through rigorous data formatting and verification processes. The comprehensive use of these technologies significantly enhances the efficiency, security, and reliability of QR code systems in industrial applications, which is of great significance for promoting the intelligent and automated development of equipment management.