How Can Artificial Intelligence Improve Our Roads? A Group of Students Translates Theory into Practice
A group of American students uses TensorFlow and a camera to identify various road damages, such as cracks and potholes. The aim was to teach the programme to quickly locate road damage from footage captured by a camera mounted on the car's bonnet...
A group of American students uses TensorFlow and a camera to identify various road damages, such as cracks and potholes. The aim was to teach the programme to quickly locate road damage from footage captured by a camera mounted on the car's bonnet.
According to the students, this system could find applications both for the cities themselves and for construction companies. It would eliminate the issues associated with the lengthy search for seriously damaged sections, allowing for immediate repairs instead. This would speed up the process, simplify it, and likely lead to financial savings.
Původní zdroj: wordpress