Current Situation
Many nations currently learn of large-scale events too late when it is impossible to mitigate damage or loss of life. While sensors, robotics, wearables, and Bluetooth solutions can be deployed as early warning systems, central governments have been reluctant to make these investments. Governments still rely on decades-old 2nd Platform technologies for detection, which are patently slower and less effective.
Goals and Objectives
Detect large-scale natural (e.g., earthquake, pandemic, and tsunami warning systems) and man-made (e.g., bomb threats) disasters sooner, collecting sensor data to better understand incidents and respond with better information.
Technology Deployed
Hardware: IoT sensors, cloud-enabled platforms, wearable technology, drones, and deployables
Software: Advanced analytics, AI, robotics, public alerting, and Bluetooth-enabled contact tracing and warning systems
Services: Integration services
Use Case Summary
Deploying next-generation technology solutions, sensors, drones, and robotic deployables helps more quickly detect and manage incidents and provides better quality information about large-scale events such as earthquakes, global health crises, tsunamis, and terrorist attacks. AI-driven platforms are increasingly being used to consolidate vast troves of climate data.