When you think about the most prevalent crime problems that communities deal with, vandalism may not be the first that comes to mind. However, with up to 14% of US residents reporting that they experience some form of vandalism — be it to their home, business, car, or some other property — each year, it is a big problem. And it is a costly problem as well — the direct costs of vandalism are in the billions of dollars annually. Unfortunately, it is notoriously difficult to identify the offender in many cases of vandalism, and that leads to underreporting by victims, which only serves to further exacerbate the issue.
This is a companion discussion topic for the original entry at https://www.edgeimpulse.com/blog/breaking-news-in-tinyml-vandalism-detection-via-audio-classification