The solar-powered sensors detect wildfires before they spread. (Image Credit: Torch Sensors)
Torch Sensors COO Vasya Tremsin saw a massive California wildfire in 2018 while driving from Lake Tahoe. He realized how monumental the wildfires became after looking into the issue. At this time, technology couldn’t detect wildfires in the early stages before they spread. Tremsin then came up with a solution, using it for a science fair project. It won the best-of-category award at the International Science and Engineering Fair.
However, the first sensor prototype took a while to develop since it needed to be highly durable while providing precise readings. The team equipped the sensors with infrared and spectral analysis cameras. Infrared cameras monitor and analyze heat signatures so the algorithm can distinguish burning material from potential false positives.
The spectral analysis cameras are combined with spectral filters that work with the infrared cameras for more precise detections. This product also features gas, temperature, and humidity sensors to monitor the air quality and smoke content. By calibrating them in real time to the current temperature and humidity, the sensors can provide more precise results. Torch sensors have a solar panel for power, which means they constantly monitor the environment for wildfires during the day and night.
At scale, the team realized the tech could be more powerful. For example, the sensors can form a network in which they cover a community, property, or the whole area. The company even expands this safety net by using its data along with other wildfire data sources.
Torch Sensors is hoping to expand its coverage areas outside the U.S. and progress research and development. Improvements could include boosting the sensors’ range, reducing their power consumption, or improving detection capabilities. The company wants to work with government agencies for additional support and help fight wildfires at scale.
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