Abstract: Monitoring indoor radon concentration is an essential part of building project acceptance inspections. Currently, the activated carbon box method is widely used for radon detection. To address the high labor intensity and low efficiency associated with this method, an automated detection, control, and management system for indoor radon concentration was developed. The system integrates a robotic arm, QR code scanning device, high-precision electronic scale, and automated analysis module. Without altering the traditional activated carbon box detection workflow, it enables full-process automation of carbon box loading, scanning and weighing, measurement, and data storage. Field tests conducted across multiple construction projects demonstrated that, under a task load of 800 samples, the radon concentration values obtained by the automated system deviated from manually measured results by no more than ±0.37%. The error rates for weighing and QR code identification were 1.23% and 1.11%, respectively. The average energy consumption per sample was approximately 39 Wh, and the overall detection efficiency was improved by more than 60% compared to manual processes. The system exhibits strong operational stability and scalability, significantly enhancing the informatization and intelligence of radon detection, and holds considerable potential for engineering application and promotion.