By leveraging edge computing and multivariate data fusion, users can analyze the target trajectory data to gain valuable insights. This approach allows us to correlate various data sets, including video images, to gain a deeper understanding of personnel movements, relationships, behaviors, and other relevant information. This, in turn, enables users to enhance situational awareness, optimize control of key areas, detect potential issues early, and make informed decisions.
Product Highlights
Integrates data from personnel and vehicles to provide unified, fused data for query, analysis, deployment and control, as well as warnings.
Based on face recognition and trajectory data, it monitors daily behavior of key personnel, identifying areas of concern and issuing early warning.
By collecting and analyzing spatial and temporal data, users can identify abnormal group behaviors such as key target gathering, peer interactions, and loss of contact, thereby issuing early warning and implementing management and control measures.