2026-04-01 20:42:54
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The current RFID reader and writer industry in China is accelerating its deep integration with artificial intelligence, promoting the upgrading of the industry from passive recognition to intelligent perception and autonomous decision-making. AI algorithm significantly improves multi tag anti-interference, precise positioning and dynamic recognition capabilities. Combining edge computing and NPU computing power, the reader can locally complete data cleaning, exception judgment and intelligent filtering, reducing cloud pressure and delay. Domestic chip and terminal manufacturers are embedding AI models in various scenarios such as smart logistics, intelligent manufacturing, retail, file management, and power inspection, achieving efficient inventory, path optimization, predictive maintenance, and anti-counterfeiting traceability. The industry has shifted from hardware sales to a 'hardware+algorithm+service' model, with leading enterprises relying on large models and scenario data to build differentiated advantages and promote the Internet of Things from connectivity to understanding. The integration of AI and RFID is becoming an important pivot for new quality productivity, empowering the digital transformation of physical industries with lower costs, higher efficiency, and stronger intelligence.