Strabismus is a common ophthalmological condition, whose traditional detection methods require professional ophthalmologists, involve complex procedures, and are time-consuming. This study proposes a fully automated strabismus detection procedure based on virtual reality (VR) and eye-tracking technologies. We have developed an interactive detection system on this foundation. The procedure draws inspiration from clinical Alternate Cover Test, Cover-Uncover Test, and Prism Alternate Cover Test principles, automatically determining strabismus type, direction, and magnitude by analyzing pupil coordinate changes during virtual occlusion. The system employs a median window filtering algorithm to process pupil data, effectively eliminating noise interference. To enable single-user self-operation, we designed a comprehensive interaction workflow allowing users to complete the entire detection process without professional assistance. Additionally, the system implements real-time gaze monitoring mechanisms, enhancing its tolerance for users’ irregular behaviors. This interactive system can serve as a clinical diagnostic aid and potentially provide a reference model for diagnosing other ophthalmological conditions.