COME FLY WITH KRATTWORKS

KrattWorks combines a mobile communication module, autopilot, machine vision and artificial intelligence.

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OUR TECHNOLOGY

KrattWorks is developing a system consisting of a mobile communication module, autopilot and artificial intelligence. It allows you to operate drones over an unlimited distance in mobile cellular network, use machine vision and AI on the drone and distribute aerial data to multiple users via central server connection.

KrattWorks is focusing on combating forest- and landscape fires with machine learning and AI to generate fire speed and direction predictions and to help rescue teams make quick and accurate decisions.

Kratteye is an electrooptical detection device with mobile broadband connectivity.

  • Airborne module comes with 2 or 3 axis gimbal and is designed to give UAV-s machine vision capabilities.

  • Stationary module comes with 2 axis gimbal and is designed to be used on cell towers to monitor large areas for smoke detection.

KrattLink is a smart IoT device consisting of a mobile communication module, autopilot and artificial intelligence. It allows you to operate drones over an unlimited distance in mobile cellular network, use machine vision and AI on the drone and distribute aerial data to multiple users via central server connection.

KrattUAV integrates our autopilot, communication module, artificial intelligence and cameras with fixed wing and rotor UAV platforms.

WHY KRATTLINK

We can significantly decrease the risk of landscape fires going out of control.
There are two ways to stop large area landscape fires:
1) Early detection.
2) Rapid deployment and right course of actions to stop the fire from spreading.
KrattEye early detection cameras can be attached to cell towers in the areas with a high risk of fire. The cameras use machine vision to detect smoke and triangulate the location of the fires instantly.
KrattUAV drones with our autopilot, machine vision and AI computing power can determine the exact location of the fire line and use different data (dryness of the forest, type of forest, wind speed and direction etc) to forecast how the fire will spread and suggest the most effective ways to stop it.

In this photo, I captured a photo of fir

GET IN TOUCH

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KrattWorks is a winner of the
Prototron competition 2019

©2020 by KrattWorks, info@krattworks.com