Abstract: The management of access to laboratory personnel has a significant impact on laboratory teaching and resource allocation in existing universities. Traditional personnel access management methods are time-consuming and inefficient. In this paper, we propose a personnel access detection technology based on low-frequency induction, which is capable of efficient and accurate positioning of personnel, so as to achieve intelligent personnel access management. The positioning algorithm establishes a correction fingerprint database, which can eliminate the interference caused by environmental changes on the positioning accuracy, thus improving the positioning accuracy and detection accuracy. The experiment results show that the accuracy of the positioning algorithm is improved by 85.0% and reaches 3 cm, while the access sensing technology is applied to the laboratory access management system, and 800 access detection experiments are conducted, obtaining up to 99.0% detection accuracy, which shows that the access management system can meet the needs of the laboratory.