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In smart campus networks, the inability of monitoring systems to accurately capture abnormal personnel information is the main cause of public safety incidents. To improve the public safety of smart campuses, a smart campus public safety anomaly monitoring system based on 6LoWPAN is designed. Establish a 6LoWPAN network and standardize the protocol stack stacking form within it, completing the development of a smart campus monitoring protocol stack based on 6LoWPAN. Using the 6LoWPAN protocol stack, functional modules are divided, and based on this, the connection relationship between personnel information collection module, environmental monitoring module, and access control module is established to achieve the design of application components for anomaly monitoring system. Adopting the upper computer node of the monitoring system, setting the module operating conditions of various component structures, and combining relevant application components, the design of a smart campus public safety anomaly monitoring system based on 6LoWPAN is achieved. The experimental results show that in the same frame image, the design system can extract all abnormal personnel information without any error extraction, which can effectively improve the public safety and anomaly monitoring accuracy of smart campuses.