Seeker.AI

Seeker AI

Inspiration

Fires in California like recently in Los Angeles are increasingly common. We want to prevent fires through early detection.

What it does

We made a rover that moves around and takes videos, and captures important information in order to determine when small fires are present in order to alert people before it gets out of hand.

How we built it

We used an ESP32 in order to control the wheels and movement of the rover and to get information from the sensors on the rover. For the camera and location, we used an iPhone that acts as a secondary camera to a computer which uses openCV and an AI-model in order to run predictions on if fire is present or not.

Challenges we ran into

We had trouble using the ESP32 and understanding how breadboards worked with the other components because none of us were very familiar with robotics. Furthermore, we wanted to have a camera as a sensor in our circuit but we didn't have a camera module so we used our phone instead.

Accomplishments that we're proud of

We are proud of creating a prototype that shows the premise and logistics of how a robot like this could gather many types of data in order to detect the presence and location of wildfires.

What we learned

We learned how to use electric components like motor controllers, breadboards, and the ESP32. In addition, we were able to problem solve around the limited sensors and components that we had in order to fulfill our vision.

What's next for Seeker.AI

We want to improve our design for the chassis by 3d printing instead of using cardboard and designing wheels that can go through different types of terrain. In addition, we hope to make the robot environmentally friendly by using solar panels instead of batteries.