SenseNet
Technology
SenseNet’s cutting-edge technology leverages advanced sensors, AI algorithms, and real-time data analysis to provide high accuracy and early alerts.
SenseNet employs five advanced forms of technologies to tackle wildfire. Our system can significantly improve communities' safety, protecting people and land from the catastrophic effects of fire.
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Bridging the gap between nature and technology, our sensors are finely tuned to detect early signs of wildfires. By continuously monitoring the environment, they identify anomalies that can precede a fire outbreak.
SenseNet Approach
Environmental data is collected in real-time using a variety of highly sensitive sensors
Advanced AI algorithms analyze sensor data to pinpoint abnormal events and ensure swift responses in critical situations.
Customized alerts are sent to our users based on different sensor readings, making sure they get prompt and relevant warnings.
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Sensor nodes have compact thermal sensors to take infrared images. Unlike regular cameras that rely on visible light, these sensors detect subtle heat differences, translating them into clear visuals to detect hot spots between the trees.
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Fire Detection in Dense Forests
Utilizing thermal sensors, our system can detect even the smallest fires within dense forests. These sensors operate effectively both day and night, pinpointing warm areas that may pose a threat.
These cameras can see fires during the day and also efficient in identifying warm, potentially dangerous spots at night.
Revolutionizing Detection
The Power of Our Modular AI Engine
At the heart of our technology is our modular AI engine. It uses advanced deep learning algorithms to detect environmental irregularities, while reducing the chances of false or missed alerts.
SenseNet
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Our cameras are always on alert. When our sensors pick up anomalies, the cameras zoom in for a better view. Using AI, our system determines if the cause of the signal is regular forest activity, smoke from a campfire, or if it is early signs of a wildfire. This close-up view gives firefighters and land management professionals a clear picture of the situation, allowing them to decide courses of best action
Smoke
detection
from any
distance
Smoke detection from any distance
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Satellite Image Processing
Our integration with satellite imagery is about more than just a bird's-eye view. By capturing real-time images from wildfire zones, we can use our AI algorithm to determine fire behaviour. This information helps authorities develop effective management strategies
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AI algorithm for satellite image analysis
AI obtains and analyzes data from a satellite image:
- Smoke
- Flame size
- Burned area
Then, after analyzing the image, AI provides the following outputs:
Fire Area
3116 hectares
Fire Direction
North West
