System and device for threat monitoring

A threat monitoring system, comprising:

• a controller;
• an Internet of Things (IoT) cloud server comprising an IoT database, the IoT cloud server being configured to aggregate data in real time from a plurality of IoT devices, perform sensor fusion and data correlation across said devices, and generate context-aware virtual data feeds for use in threat prediction and comprehensive environmental mapping;
• a head mounted wearable device comprising:
• a plurality of physical sensors configured to sense and generate at least one of visual feed and radar feed, and
• a multimodal communication interface;
• a user database configured to store user profile data;
• an environment monitoring unit comprising a processor and a memory, the environment monitoring unit being configured to receive and integrate data from the visual feed, the radar feed, and the virtual data feed, and to generate a real-time, multi-dimensional map of the environment by performing sensor fusion and data correlation across said feeds;
• and
• an awareness unit comprising a processor and a memory, the awareness unit being configured to determine an environmental context by analyzing the position of a user in relation to the mapped environment and the virtual data feed, and to identify context-specific threat indicators,
• wherein the controller is configured to:
• receive the user profile data from the user database, the visual feed and the radar feed from the plurality of physical sensors, the mapped environment from the environment monitoring unit, the environment context from the awareness unit, and the virtual data feed from the IoT database;
• analyse the user profile data, the visual feed and the radar feed, the environment context, and the virtual data feed to predict occurrence of threat;
• and
• generate and deliver a warning to the user about a threat, wherein the warning comprises directional and intensity cues corresponding to the location and severity of the predicted threat, and is communicated via the multimodal communication interface using at least one of audio, visual, and haptic modalities, the warning being adaptively tailored based on the user's environmental context and profile data.