Method And System For Real Time Detection And Threat Assessment Of Changes In Geographical Regions

Abstract: Approaches of the present subject matter relate to real-time detection and threat assessment of changes in geographical regions. In one example, one or more data associated with a geographical region may be obtained from a plurality of heterogenous input imaging devices 112. The obtained data may be pre-processed, and then collated to generate a cohesive and fused input dataset associated with the geographical region. Thereafter, the fused input dataset may be analysed based on one or more user-configurable first machine learning models to determine changes in the geographical region. Thereafter, one or more anomaly events may be identified based on the determined changes, and a threat level may be determined, using one or more second machine learning models, based on the identified anomaly events. Thereafter, alerts may be generated based on the determined threat level, and a report may then be generated and displayed on a display device 202. [To be published with FIG. 3]

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