The accuracy you need for effective wildfire detection

Many of the wildfire detection solutions currently available lack accuracy and scale, making their insights unreliable and sometimes costly.

Many of the wildfire detection solutions currently available lack accuracy and scale, making their insights unreliable and sometimes costly.

Utilities face increasing challenges in securing grid infrastructure and protecting assets in the field. From wildfire caused by equipment failure, vegetation mismanagement or intrusion, to substation management.

AIIR’s patent-pending technology was built with high accuracy in mind. It offers one of the lowest false-positive rates currently available, enabling effective wildfire prevention at scale.

AI-based fire detection from any connected camera

Many of the wildfire detection solutions currently available lack accuracy and scale, making their insights unreliable and sometimes costly.

AIIR is a comprehensive real-time fire detection solution designed with a human-in-the-loop monitoring and alerting system. Our highly trained fire detection AI looks for smoke and fire when and where human operators cannot, and acts as a tireless assistant.

AIIR’s patent-pending technology was built with high accuracy in mind. It offers one of the lowest false-positive rates currently available, enabling effective wildfire prevention at scale.

Once the AI detects smoke or fire from the connected camera, it populated it to the monitoring system dashboard. From there, a human operator can confirm the fire and take the necessary steps. If needed, this will also trigger automated alerts by email or SMS as desired.

AI-assisted Fire Monitoring System

A web-based AI-assisted dashboard drastically reduces the response time for CCTV and emergency commanded center operators. This allows for human verification and relearning for low false positives and a continually advancing system.

The operator is given just four potential scenarios and can review the past 4 minutes of camera stream if needed before confirming the fire.

Our AI allows for 1 human operator to effectively monitor 200+ cameras at a time.

Fire Alert System

In addition, AIIR has a dedicated alerting system to review the AI-assisted fire detections.

From here you can review the time of alerts and short time-lapse of how the fire started.

The accuracy you need for effective wildfire detection

Many of the wildfire detection solutions currently available lack accuracy and scale, making their insights unreliable and sometimes costly.

Many of the wildfire detection solutions currently available lack accuracy and scale, making their insights unreliable and sometimes costly.

AIIR’s patent-pending technology was built with high accuracy in mind. It offers one of the lowest false-positive rates currently available, enabling effective wildfire prevention at scale.

AIIR’s patent-pending technology was built with high accuracy in mind. It offers one of the lowest false-positive rates currently available, enabling effective wildfire prevention at scale.

Time-series AI for High Accuracy

AIIR’s patent-pending technology goes beyond traditional detection by using time-series AI.

AIIR uses a Convolutional neural Network. The LSTM analyzes the patterns over time to verify that the detected area is an actual anomaly.

Convolutional Neural Network (CNN)

AIIR searches each image for potential anomalies through a convolutional neural network.

AIIR uses Long Short-term Memory. AIIR then analyzes patterns in the footage to find anomalies such as unusual movement.

Long Short-Term Memory (LSTM)

AIIR then analyzes patterns in the footage to find anomalies such as unusual movement.

AIIR uses Time-series Analysis. The LSTM analyzes the patterns over time to verify that the detected area is an actual anomaly.

Time-series Analysis

The LSTM analyzes the patterns over time to verify that the detected area is an actual anomaly.

Time-series AI for High Accuracy

AIIR’s patent-pending technology goes beyond traditional detection by using time-series AI.

AIIR uses a Convolutional neural Network. The LSTM analyzes the patterns over time to verify that the detected area is an actual anomaly.

Convolutional Neural Network (CNN)

AIIR searches each image for potential anomalies through a convolutional neural network.

AIIR uses Long Short-term Memory. AIIR then analyzes patterns in the footage to find anomalies such as unusual movement.

Long Short-Term Memory (LSTM)

AIIR then analyzes patterns in the footage to find anomalies such as unusual movement.

AIIR uses Time-series Analysis. The LSTM analyzes the patterns over time to verify that the detected area is an actual anomaly.

Time-series Analysis

The LSTM analyzes the patterns over time to verify that the detected area is an actual anomaly.

An AI-based solution built for the natural world of the 21st century

In the last century, the increase in human activity around
the world has led to a rise in not just the number of wildfires,
but the types of environments in which they happen.

AIIR’s patent-pending technology detects the diffusion pattern
of smoke, locating the ignition point in any environment,
giving you the insights you need to take action.

An AI-based solution built for the natural world of the 21st century

In the last century, the increase in human activity around
the world has led to a rise in not just the number of wildfires,
but the types of environments in which they happen.

AIIR’s patent-pending technology detects the diffusion pattern
of smoke, locating the ignition point in any environment,
giving you the insights you need to take action.

Prevent wildfires without rebuilding your infrastructure

Installing a new detection system can sometimes mean having to rebuild your infrastructure to adapt to the needs of the solution. Not with AIIR.

AIIR provides a flexible solution that can be quickly installed on any camera to help detect fire-related disasters in various environments, and most importantly, in real-time.

Prevent wildfires without rebuilding your infrastructure

Installing a new detection system can sometimes mean having to rebuild your infrastructure to adapt to the needs of the solution. Not with AIIR.

AIIR provides a flexible solution that can be quickly installed on any camera to help detect fire-related disasters in various environments, and most importantly, in real-time.

A real-time solution to wildfire disasters in California and Beyond

.As many as 90 percent of wildland fires in the United States are caused by people, according to the U.S. Department of Interior. Some human-caused fires result from campfires left unattended, the burning of debris, downed power lines, negligently discarded cigarettes and intentional acts of arson. The remaining 10 percent are started by lightning or lava.

In fact, equipment owned by California’s three largest utilities ignited more than 2,000 fires in three and a half years between 2014 and 2017.

According to Verisk’s 2019 Wildfire Risk Analysis 4.5 million U.S. homes were identified at high or extreme risk of wildfire, with more than 2 million in California alone.

One of the lowest false-positive rates currently available

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One of the lowest false-positive rates currently available

Contact Us