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 leverages five advanced technologies to tackle catastrophic wildfires. These innovations significantly improve communities' safety during fire events, protecting both people and land.
01
of 05
01
of 05
Bridging the gap between nature and technology, our cutting-edge 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
We collect vital environmental data in real-time using a vriety of highly sensitive sensors.
Advanced AI algorithms analyze sensor data to pinpoint abnormal events and ensure swift responses in critical situations.
We send customized alerts to users based on different sensor readings, making sure they get timely and relevant warnings for better safety.
02
of 05
Sensor nodes have compact thermal cameras to take infrared images. Unlike regular cameras that rely on visible light, these cameras detect subtle heat differences, translating them into clear visuals to detect hot spots between the trees.
02
of 05
Fire Detection in Dense Forests
Utilizing thermal cameras, our system can detect even the smallest fires within dense forests. These cameras operate effectively both day and night, efficiently 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
03
of 05
03
of 05
Our cameras are always on alert. When our sensors pick up some anomalies, the cameras quickly zoom in for a better view to figure out if it's just regular forest activity, a camp fire, or the early signs of a wildfire smoke. This close-up view is super helpful. It gives the fire fighthers a clear picture, allowing them to understand what's going on and decide the best action to take, even if they're far away.
Smoke
detection
from any
distance
Smoke detection from any distance
04
of 05
Satellite Image Processing
Our integration with satellite imaging is about more than just a bird's-eye view. By capturing real-time images from wildfire-zones, we delve deep into understanding the wildfire's size, speed, direction, and more. This top-tier spatial data helps authorities do effective management strategies.
04
of 05
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
