Initially designed for schools and universities, Frida uses built-in AI functions to provide earthquake preparation, guide people through drills, predict the magnitude of earthquakes based on sensor data, identify the best escape routes during earthquakes, and detect people trapped in damaged classrooms. It is a first-of-a-kind complete solution for providing data collection, monitoring, notifications, and guidance before, during, and after a disaster.
Frida contains an end-to-end solution that integrates with the IBM IoT platform and IBM Watson Studio. Our future roadmap adds more functionality to Frida, including applying a visual recognition model to show damaged buildings and finding trapped victims, showing escape routes on a map through AI functions, using a Jupyter notebook to predict earthquake magnitude, and applying a blockchain for fundraising transparency in a web application. For this solution, we are currently focusing on earthquakes and schools, however, our kit can be expanded to handle other types of natural disasters, such as volcanic eruptions, floods, landslides, hurricanes, and tornados. The IoT device can be manufactured in large scale and deployed into institutions.
• Submit a location
• Select a school from stored school list
• Receive notification of the earthquake magnitude
• Guide drills
• Manage user list
• Text to entire classes and first responder
View our milestone and release schedule in Frida Github issue tracker