California teenager invents artificial intelligence tools for early wildfire detection

The world is indeed lucky when our smartest minds choose to work for the common good, instead of chasing money or becoming a major criminal.So Inhabitat would like to thank young Ryan Honary for his work on the early detection system Wildfire.

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I am deeply saddened by the losses people suffered in the 2018 campfire, Californian The deadliest wildfire, Honary turned his attention to how to mitigate future disasters. In 2019, Honary won a grand prize of US$10,000 in the Ignite Innovation Student Challenge. Early wildfire detection network Submit to provide application technology for firefighters. He was only in fifth grade at the time.

Related: The Rocky Mountains have experienced more severe and frequent wildfires

At the age of 14 this summer, entering the eighth grade in the fall, Honary is busy studying Sensory Artificial Intelligence, The company he founded. With the help of his father Hooman Honary and the expert team, this startup has received a lot of attention. Earlier this year, the Office of Naval Research provided SensoRy AI with nearly $1.6 million in grants.

Honary and Inhabitat talked about how he achieved more than most people did in his life before he went to middle school, and his vision of using AI and other technologies technology To help people in the future.

Ryan Honary and the prototype of the wildfire detection tool

Inhabitat: Tell us about your early interest and training in science and artificial intelligence.

reputation: I have always been interested in the application of technology. Due to my father’s background, I got in touch with programming very early and started creating my website in the third grade. After I learned Python and Javascript locally——school A course called Ardent Academy.

At the same time, I am surroundings. When I saw how stressful the environment was due to various problems, I also began to worry. My science teacher at school encouraged me and provided me with many resources for studying environmental issues.

When large-scale wildfires began to hit California regularly, these problems became very personal, destroying air quality, destroying houses and unfortunately killing some people. I began to think about how to use the power of technology to solve many environmental problems, such as wildfires.I have been reading articles about predictive ability artificial intelligence. I contacted and started learning artificial intelligence from a family friend who is a PhD student in machine learning at UCLA.

Habitat: How do you research wildfires?

reputation: When I first heard about the 2018 campfire on TV, I was shocked. Since then, I have started to read information about wildfires on the Internet. All come from places such as National Geographic and CAL FIRE. I began to study why it is so difficult to manage and extinguish these large-scale wildfires.

More specifically, to capture data to train a machine learning model on my fire detector, I captured real-world data about the Camp Fire in Northern California in 2018 from Google Earth. There is a lot of useful data available for free on Google Earth. This is a great resource.

Phone screen with temperature, humidity and smoke detection information

Inhabitat: Can you briefly explain how your system works?

reputation: My system consists of a network of detectors: small weather stations and fire detectors. My network consists of a mesh network, which means that all nodes can communicate with each other. Therefore, once the fire detector detects a fire, the information can be communicated from node to node until it reaches a small weather station, and then it is sent to the application I created with Javascript.

In order for the system to operate, the detectors must be 100-150 feet apart, so it is necessary to know how many sensors are needed based on the size of the monitored area. The sensor will be placed in a rugged and fragile place. The sensors on the detector can track the fire and transmit the information in real time to the small weather station, and then to the application. In addition, machine learning can be used to predict the whereabouts of fires.

Inhabitat: How does it feel to win the Ignite Innovation Student Challenge?

reputation: When I first learned that I had won the prize, I was stunned!I never thought I could win the national level science The competition, especially because I am a fifth grader, and it is a middle school competition! That victory inspired me to continue working on my project and helped me achieve what I am today.

Ryan Hornali sitting behind the desk

Inhabitat: What is your current role in SensoRy AI?

reputation: I lead the company’s environmental protection department. I hope to turn our platform into a truly viable product that solves real-world environmental problems. As part of this, I was in contact with scientists from the Forest Service and EPA, and they provided me with data and guidance to enable me to conduct research.

Inhabitat: How did it feel to work closely with the Office of Naval Research and other older colleagues as a child?

reputation: I am honored that an outstanding research group, such as the Office of Naval Research, has decided to provide research funding for our project. Working with older people is sometimes a bit scary, but I like to learn from their experience. I hope to attract more people of my generation to join our company. In the final analysis, the environment will become a major responsibility of our generation.

On the left, Ryan Honary received an award from the Red Cross. On the right, Honary tests early wildfire detection tools on a fire pit.

Inhabitat: Please talk about your hopes for future applications of early detection technology.

reputation: Early detection technology can be used in future applications, such as Methane Gas leaks from oil refineries and oil plants, and water pollution caused by mining or other human activities. In situations where any environmental disaster may start from a high-risk location, our early detection and growth prediction platform can be used to help protect the environment.

Inhabitat: What other information should readers know about you and SensoRy AI?

reputation: We are a group of technical experts who are passionate about using technology and artificial intelligence to solve environmental problems. We have access to mature artificial intelligence experts and research funds. We are happy to help anyone who has environmental problems and is looking for technology-based solutions.

+ Sensory artificial intelligence

Image from SensoRy AI and NASA

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