SYSTEM AND METHOD FOR ARTIFICIAL INTELLIGENCE (AI)-BASED ACTIVITY TRACKING FOR PROTOCOL COMPLIANCE

摘要

A new approach is proposed to support activity tracking of a person for protocol compliance. The proposed approach tracks a sequence of activities of the person at one or more zones of interest being monitored via one or more cameras and/or sensors to determine if the person is following a set of pre-determined protocols at the zones of interest. Under the proposed approach, a plurality of AI models are trained and utilized to define the one or more zones of interest, to detect presence and classification of the person and/or an object associated with the person, to determine/classify the sequence of activities of the person, and to determine duration of the sequence of activities. The sequence of activities of the person is then checked against the set of pre-determined protocols to determine if the person is in protocol compliance or not and protocol violations are reported to a user.