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Updated: Mar 3

This past week our co-founder and CEO Kenneth Richard Giepel sat down with CleanTechWatch, a danish online media source dedicated to identifying how technology can help improve sustainability.

In the article, Kenneth pointed to the immense potential impact Robotto Fire has, reiterating the results from our study where it was found that the technology has the ability to reduce burn sizes by 60% and save 50-70% of man-hours. In terms of sustainability, Giepel noted that the potentially saved emissions equal the same amount as if Denmark were to eliminate all emissions for a year.


The article also touches upon the commercialization of the technology, noting that Robotto is a first mover in the market, putting the software lightyears ahead of potential competitors in the field.


Here is a short paragraph from CleantechWatch’s article written by Josephine Buur Bach translated:

Going forward, it's potentially more than just firefighting, that Kenneth Richard Geipel and his colleagues can contribute to making the world a bit greener.


“At the end of March, we will launch two new use-cases, Search and Rescue as well as Disaster Mapping, both of which operate on the same drone. After which we will focus on the maritime industry, where there is a big problem with oil spills as well as detection of fuel from ships. Here our customers will be ports, who are interested in protecting their ecology.”


Read the entire article for free with a 14-day trial here (in danish)

Many fire departments rely on aerial fire surveillance when dealing with large-scale wildfires, but many of these existing methods are not only expensive and inefficient, they are also dangerous.


Drones remove the danger from fire surveillance and make it easier to survey a larger area of land, but as any drone programs rely on manual flight and interpretation, these programs are prone to inaccuracies.


Robotto Fire takes the power of a drone and multiplies it with the power of AI. The software enables your drone to identify fire, alter course to hug the edge of the fire (thus protecting the equipment), calculate and report data back to the controller in real-time.


See how they compare below and visit www.robotto.ai/fire to learn more about Robotto Fire.








Today, many fire departments in rural areas, prone to forest fires, utilize stationary cameras for surveillance and fire detection. This system requires a constant viewership, much like security cameras at a building. Not only is this system expensive in man-hours, but the reliance on human identification also leaves a margin for error. (Error which could have an even higher cost.)


At Robotto this potential for loss of life and the increased financial burden of wildfires on departments across the globe motivates us to innovate and set goals for the future. Innovation is our lifeblood, and we've considered how advancements within drone technology have the ability to improve response times from identification of fire to surveillance, analysis, and action. We're well on our way with the introduction of Robotto Fire, our advanced drone software, powered by AI, but we're excited just thinking about the impact a drone in-a-box solution could have!


They hold the possibility to shorten response times, getting powerful drones like ours into the air, decreasing burn sizes even more, and making firefighting more efficient.


See how drone stations are becoming a part of the solar industry here


Drop a comment and tell us your thoughts on drone stations!


Learn more about our powerful drone software here


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