Design and implementation of multimodal fusion perceived synthetic decision making system based on AI
The traditional military security systems have low level of intelligence,and they are independent and unrelated,and lack comprehensive management of top-level data,so four typical security business scenarios,namely peripheral perimeter,important checkpoints,unmanned patrols,and regional high points,are selected for modeling.By the three processing steps of standardized access of data,intelligent judgment analysis and security situation display,an AI-based multimodal fusion perceived synthetic decision making system is constructed to realize the multi-dimensional front-end perception,intelligent judgment in the middle platform and diversified back-end disposal.The constructed system can support the security defense of important military targets effectively.In addition,the system has good scalability and maintainability in the future.
important area defensemultimodal data fusionscene modelingrule customizationperceived disposal decisionintelligentized security system