ACOT SYSTEMS – Detección de Incendios Forestales

ESP

/

ENG

AI-POWERED REMOTE SENSING

Leveraging cutting-edge PTZ IP cameras and advanced 360° motion automation, we’ve developed a sophisticated detection tool that optimizes monitoring frequency and reduces the average time to detect wildfires.

Additionally, images captured by the sensors are processed in real-time by our Deep Learning model trained to identify smoke plumes. This AI asset is utilized to accelerate and refine the detection of these signals.

Upon detecting a smoke plume, it is immediately geolocated and subsequently notified to the relevant users. Firecatch allows users to review incoming and past alerts, along with their respective images and information.

AI-POWERED REMOTE SENSING

Leveraging cutting-edge PTZ IP cameras and advanced 360° motion automation, we’ve developed a sophisticated detection tool that optimizes monitoring frequency and reduces the average time to detect wildfires.

Additionally, images captured by the sensors are processed in real-time by our Deep Learning model trained to identify smoke plumes. This AI asset is utilized to accelerate and refine the detection of these signals.

Upon detecting a smoke plume, it is immediately geolocated and subsequently notified to the relevant users. Firecatch allows users to review incoming and past alerts, along with their respective images and information.

AI-POWERED REMOTE SENSING FEATURES

  • Programmable movement. Each turn is completed in less than 3 minutes.

  • Use of 5G and satellite network
    Powered through electrical grid or photovoltaic system.

  • Uninterrupted operation.

  • Live view from smartphones and computers.

  • Event registry.
    Maximum security standards.

  • More than 70 thousand Ha monitored by each monitoring station.

* Ideal conditions

AI-POWERED REMOTE SENSING FEATURES

  • Programmable movement. Each turn is completed in less than 3 minutes.
  • Use of 5G and satellite network
    Powered through electrical grid or photovoltaic system.
  • Uninterrupted operation.
  • Live view from smartphones and computers.
  • Event registry.
  • Maximum security standards.
  • More than 70 thousand Ha monitored by each monitoring station

* Ideal conditions

CAMERA INTEGRATION

FIRECATCH DETECTS WILDFIRES EVEN USING EXISTING CAMERAS

Firecatch app allows us to analyze the live view of cameras that are already being used for wildfire detection and monitoring. Regardless of their brand, if the camera has adequate resolution, the live view can be processed by our AI model to detect smoke plumes and alert the corresponding users. In this way, our AI-Powered Remote Sensing service allows us to locate and alert fires anywhere in the world, simply by integrating the live view of the cameras that are already operational.

 

CAMERA INTEGRATION

FIRECATCH DETECTS WILDFIRES EVEN USING EXISTING CAMERAS

Firecatch app allows us to analyze the live view of cameras that are already being used for wildfire detection and monitoring. Regardless of their brand, if the camera has adequate resolution, the live view can be processed by our AI model to detect smoke plumes and alert the corresponding users. In this way, our AI-Powered Remote Sensing service allows us to locate and alert fires anywhere in the world, simply by integrating the live view of the cameras that are already operational.

 

WHY IS EARLY DETECTION ESSENTIAL?

Spotting a wildfire in its early stages is crucial to minimizing environmental impact, costs, and damage. Here’s why

BENEFITS OF EARLY DETECTION

  • As a wildfire grows, the area it affects expands exponentially.

  • This means that the damage caused by the fire increases at an even faster rate with each passing second.

  • In recent years, wildfires have been spreading at an average rate of 500 to 900 hectares per hour.

Spotting a wildfire in its early stages allows firefighters to take action precious minutes before the flames spread out of control. Early detection is crucial in preventing a major catastrophe.

System automation

Optical and Thermal Sensors

Cloud
Computing

Artificial Intelligence

Geolocation

System automation

Optical and Thermal Sensors

Cloud Computing

Artificial Intelligence

Geolocation

System automation

Optical and Thermal Sensors

Cloud
Computing

Artificial Intelligence

Geolocation