Capstone Project

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Group 2021-21 Status completed
Title Sentinel
Supervisor Kash Khorasani
Description Description: Wildfires are a real-life problem that is affecting countries all over the world. This year has seen horrible wildfires that caused a great amount of devastation. Currently, wildfire suppression is conducted via wildfire fighting teams only after a fire has been reported and scouted. Our goal to create an all-terrain autonomous vehicle (ATAV) to traverse wooded areas and then suppress fires. We will be designing a to scale vehicle, to travel to predetermined locations, detect early wildfires, and suppress them. While communicating data in real time to a base station. Deliverable Our project will integrate new control approaches based on deep reinforcement learning (and other machine learning approaches) with a controller, and other visual sensors, to simulate our proposed system and deliver an ATAV for fire detection, monitoring and suppression.
Student Requirement Microcontrollers Python Computer Vision Neural Networks
Tools Test Equipment: Multimeter Various hand tools Software: Wildfire Simulation Software Multiphysics Engineering Simulation Software Matlab
Number of Students 6
Students Ryan Hans, David Sorin, Dilara Omeroglu, James Francia, Tarek El Dick, Mohamed ElSagh
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