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Sonoma County Selects Alchera for AI-Based Wildfire Detection

Alchera's visual AI technology able to provide early warning and alerts of wildfire events


News provided by

Alchera Inc.

Mar 17, 2021, 09:00 ET

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SEOUL, South Korea, March 17, 2021 /PRNewswire/ -- Korea's leading visual recognition AI firm, Alchera Inc. (Kosdaq:347860), today announced that has been formally selected by California's Sonoma County to provide early warning alerts of pending wildfire events.  Alchera will offer consulting services to develop and deliver products utilizing state-of-the-art fire detection technologies based on machine learning with Artificial Intelligence (AI). The firm's visual anomaly detection solution can detect the start of a wildfire from a simple video.

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Forest fire smoke detected (in the blue box) in Osborne, California by Alchera’s AI, taken during the bidding period in August 2020.
Forest fire smoke detected (in the blue box) in Osborne, California by Alchera’s AI, taken during the bidding period in August 2020.
Real-time monitoring dashboard connected to 200 cameras in California, provided by ALERT Wildfire.
Real-time monitoring dashboard connected to 200 cameras in California, provided by ALERT Wildfire.

Notably, Alchera's solution is the world's first commercialized Software-as-a-Service (SaaS) offering for wildfire detection.

In October of 2017, a series of destructive wildfires blazed through Northern California, including the Tubbs fire which burned 36,807 acres from Eastern Napa County to Santa Rosa, in which Sonoma County lost 6,000 structures and 21 lives. Sonoma County opened an RFP to the public primarily in response to this event, as the fire was not detected until it was already too late. In January 2021, Sonoma County officially selected Alchera as the contract winner after reviewing the submitted proposals.

According to Sam Wallis, the Community Alert & Warning Manager of Sonoma County, "Sonoma County continues to invest in wildfire detection technology that will provide advanced smoke detection warning to emergency managers and first responders. As the field of artificial intelligence has advanced in sophistication, we are excited to add such a monitoring system to our alert and warning toolkit."

The company has been working to develop camera-based fire detection algorithms or visual anomaly detection technologies since 2018. The first such deployment was with Korea's largest utility, KEPCO (Korea Electric Power Corp.) to deploy fire detection systems in both indoor and outdoor environments. From then, Alchera has been processing millions of images—detecting hundreds of early-stage wildfire ignitions from ALERT Wildfire cameras since June of 2019 through various proof of concepts and trials.

"With our cutting-edge AI-based wildfire detection system, we are able to help reduce the damage of forest fires in California, which, as we have seen, suffers greatly from this phenomenon every year," said Young-Kyoo Hwang, CEO, Alchera. He added, "We are very grateful and honored to see our firm's technology being recognized worldwide. We are now expanding into global markets in earnest with this export to the US market."

The firm will start to implement real-time early wildfire detection on Sonoma County cameras from March 2021. The project is intended to run until March of 2023.

To visit the website
https://fire.aiir.ai/sonoma

Learn more about Alchera's visual anomaly detection solution at
https://aiir.ai/industries/fire-detection/ 

For video, visit https://drive.google.com/drive/folders/1RmP3AaVFAgaZZzlTUDT8Pu5Se0eQKj7q?usp=sharing

About Alchera

Alchera Inc. is one of Korea's fastest-growing technology companies, providing visual AI to the most prominent corporations and the South Korean government. With more than 80 employees at the headquarters, Alchera Inc. employs 50+ engineers, the majority specializing in machine learning and computer vision, the others specializing in data and software engineering.
Learn more at www.alcherainc.com.

SOURCE Alchera Inc.

Related Links

http://www.alcherainc.com

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