F.I.R.E.

Team F.I.R.E.

Nikolas Thunberg, Ziyi Wang, Samuel Owens, Noah Zachariah, Ethan Kalijian

Field-Integrated Rescue Enhancement

Problem Statement

• Identified Problem: After a natural disaster the rescuers have to go through treacherous environments to save people. Smoke, fire, dust, and debris can be extremely dangerous to rescuers.
• Target Audience: Mainly rescuers such as firefighters are affected by this problem.
• Themes: The theme of the project is Natural Disaster Response
• Importance of the Problem: It is crucial to address the problem because as natural disasters happen, the rescuers who are the people on the front lines need to stay safe to keep others safe.

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Project Description

• Solution Overview: Our project the F.I.R.E. allows rescuers, designed specifically for firefighters, to be safer when helping to rescue people after a natural disaster.
• Our ultrasonic sensor and haptic motor alert the rescuer when there are obstacles in low visibility situations
• The temperature sensor shows the rescuer potential hazardous areas
• The display, integrated to both the helmet and an outside webserver allows communication between the helmet and the outside team wirelessly through buttons.
• Unique Value Proposition: Our solution allows for unique added safety features never seen before in the dangerous situations natural disaster responders find themselves in. Rescuers are often overlooked and under equipped when it comes to their safety. Our device keeps the saviors safer than they have even been before.

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Technical Description

• Hardware Components: The components used were an ESP32, two buttons, an OLED display(brought in), a haptic motor (brought in), an ultrasonic sensor, and a temperature sensor, all housed in 3D printed components.
• Software & Tools: All CAD models were created using Fusion 360. Coding is done on C++, the web server is done using Python, Javascript, and HTML.
• Technical Challenges: The biggest challenge to overcome during this year’s hackathon was the serial communication between the ESP32 and anything else. First we tried to use bluetooth to connect ESP32 to ESP32, which was eventually scrapped. We then switched to WiFi communication which worked better, but still had its problems. �

Demo

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• Future Work: Multiple ultrasonic sensors pointed in slightly different directions could improve obstacle detection. An air quality sensor can help to prevent other injuries due to breathing in harmful fumes. We could also add a location sensor to pinpoint where exactly a rescuer is.

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Questions?