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.
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.
Every year, the Chivas Venture supports social entrepreneurs, who blend profit with purpose to have a positive impact on the world.
Interreg RECORD aims to help innovative small and medium-sized enterprises improve the transportation sector.