517 people were injured or killed in level crossing accidents in the EU in 2017. Erriate was built to prevent these accidents.
517 people were injured or killed in level crossing accidentsin the EU in 2017. Erriate was built to prevent these accidents.
Erriate monitors the area in level crossings in order to determine any potential dangerous situations. Artificial intelligence can detect patterns that represent risky situations, such as a stuck car or injured cyclist.
In case of dangerous situations, the train operators in trains that are approaching the level crossing receive a warning accompanied with a live stream. The train operator can analyze the situation and stop the train or adjust its speed to prevent an accident.
Erriate informs emergency units about possible accidents. This ensures the emergency team can be immediately on its way in order to rescue any injured people or remove any barriers from the level crossing in order to eliminate train delays.
Level crossing barriers are several times more expensive than the installation of Erriate. Moreover, if something or somebody gets stuck inside the level crossing, only Erriate can notify train operators or emergency units.
Erriate can notify train operators or warn people inside the level crossing when the train is approaching. It can protect them from the accident that most of the time ends up as a fatality. Each one counts.
The estimated value of human damage is around 1,5 M in Germany and France (Aoun, El-Miloudi, Lemaire, 2010). With each accident, there are also costs of damaged trains, level crossings, etc. In some countries, delays are also penalized. Imagine how much you can save if you can prevent just one accident.
Awareness campaigns did not prove themselves to be effective. One of the reason is the way how people’s minds work. Kahneman explains that 95% of the time, people are unconscious of their behaviour. Erriate can save them once they forget to follow the rules.
Live stream footage is properly secured by SSL encryption. Moreover, Erriate only stores footage with potential incidents. The rest of the footage is analyzed offline and the system doesn’t store it.
If requested, Erriate will not store any video footage that allows the recognition of particular persons or objects. This includes face blurring or area blurring (e. g. private property).
Footage capturing potential incidents are archived safely. Only authorized staff can access the archive and watch or download the particular footage.
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