Identifying Single-Mode (SMF) vs. Multimode (MMF) SFP modules involves a cross-referencing protocol of physical bail colors, EEPROM telemetry, and wavelength specifications. Precise verification prevents "Ghost Links" and Mode Field Diameter (MFD) mismatches that degrade 800G AI. In this study, we propose an intelligent identification model utilizing a fully convolutional neural network (CNN) to precisely identify multimode fibre modes and their clusters. The model is simulated and experimentally validated, considering noise influences on linear polarisation modes. Multimode fibre optic communication systems, employing mode/mode group multiplexing, present challenges in accurately identifying numerous modes and mode groups for improved performance. At their core, all optical fibers perform the same fundamental task – guiding light. Fiber optic technology has transformed the way we transmit data, enabling faster, more reliable connections than traditional copper cables. Understanding fiber optic cable types is essential for anyone looking to build or maintain efficient fiber networks. Multi-mode links can be used for data rates up to 800 Gbit/s.
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