Abstract: Methods and systems for monitoring infrastructure, can involve capturing video of infrastructure, and generating an inference of damage to the infrastructure and a severity thereof based on images in the captured video and in response to running the inference locally on one or more edge devices. The running of the inference can take place locally on the edge device(s) using a compression of models to run the inference on the at edge device(s) with a low computational resource. Privacy preserved learning can be enabled when generating the inference and the severity thereof by using distributed data subject to federated learning frameworks.