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Prevention of casualties and property damage due to home fires by using thermal imaging and software based occupancy detection

CSEF · 2023 Electronics & Electromagnetics First Award

Gill Shanya · 6

Overview

The annual loss of approximately 2,880 lives due to faulty or late alarms from fire detectors in house fires is a significant concern. To address this issue, I have developed a cost-effective product that utilizes a thermal camera and Python code to enhance early detection of house fires hence enhancing kitchen safety. My device incorporates a Raspberry Pi, an invention used in many engineering projects, and a thermal camera programmed with Python code to detect heat sources and humans in a kitchen. This product's success criteria includes detecting humans 85% of the time and heat sources 95% of the time, and sending text messages to owners of an unattended heat source lasting for 11 minutes with 95% accuracy. The device's size and weight are limited to 1.2 meters cubed and 1.5 kg. The prototype's budget is $100. Testing was conducted by simulating attended fires, unattended fires, and humans. The initial design failed due to vague and faulty code. However, the second design detected humans in the scene 98% of the time, detected heat sources 97% of the time, and text messaged owners when a heat source was left unattended 97% of the time. My product exceeded success criteria and outperformed average smoke detectors in accuracy, affordability, quickness, and capabilities. The end product could be made with future improvement and mass production could make this device more affordable and allow it to replace or augment smoke detectors in kitchens improving kitchen safety and reducing casualties and property damage.

Source coverage

This record comes from a published award list, not a complete project archive. Its abstract comes from CSEF's public project showcase as archived by the Internet Archive before judging (https://web.archive.org/web/20230401224130/https://ca-csef.zfairs.com/showcase/ShowcaseInfo?f=838e60b7-ea75-46e8-865c-fde4864244b3); the version presented may differ.

Awards (2)

Competition history

  • CSEF 2023 Electronics & Electromagnetics · Entry J1023

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