As a response to the zero emission targets set for 2050, electric and alternative fuel vehicles have become very common in the last years. The new type of transmission systems and the new technologies being implemented make a lot of structural differences in the vehicles and create a wide range of variety. This changes how to respond to those vehicles and makes it harder for the firefighters to know exactly what to do before correctly identifying the vehicles. Furthermore, at the moment, it is also not very clear how to respond to these vehicles in case of an emergency situation as there are not widely accepted procedures.
FUSE is an AI-assisted handheld tool and a system designed for the firefighters to be used for car accidents. FUSE has a set of sensors and cameras together with the flashlights and a laser pointer. It’s not only packed with sensors but a powerful AI which has the access to a database of 3d models and rescue information of the vehicles together with the real-world knowledge. It compares 3d datas of the vehicles with real-world scans and generates recommendations in augmented reality form.
The FUSE system provides the most critical information for the firefighters while interfering with crashed vehicles while also allowing this to be documented and used for training the AI and the firefighters for the future cases.