Inspiration
Accurate information about an emergency situation is very important for response teams; it could be the difference between an efficient response and the loss of life.
What it does
Live feed from a drone is transmitted to the computer, which is then sent to IBM-Watson for image recognition. Watson finds people in the image and sends that information to the response teams, which provides a better picture of the emergency situation.
How we built it
Video feed from the drone was extracted using a Go script. Python was then used to capture individual frames, which are sent to the Watson servers for image recognition.
Challenges we ran into
Getting the live data from the drone. Simultaneously connect to the drone and wireless network.
Accomplishments that we're proud of
Watson was trained to recognized people in different situations and poses using live footage from the drone.
What's next for Drone Emergency Response Team
Implementing recognition of hazardous situations. Improving the live feed implementation to reduce latency and increase reliability.
Built With
- flytbase
- go
- ibm-watson
- python
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