Last summer, developer Rob Lauer was looking for new family activities to replace those, such as soccer practices and Girl Scout meetings, that had been canceled due to concerns over COVID. His family started taking long walks around their hometown of Madison, Wisconsin and found that they were enjoying seeing parts of the city that they would have otherwise never visited. But Lauer noticed that these walks could also be a bit stressful at times, because of some drivers that were behaving recklessly behind the wheel. Always looking for a technological solution to his problems, Lauer came up with the idea of building a device to gauge the frequency of dangerous driving behaviors along a street. If a number of these devices were installed around the city, they would be able to provide information about the most, and least, safe places for pedestrians.
This is a companion discussion topic for the original entry at https://www.edgeimpulse.com/blog/not-so-fast-building-an-ml-powered-speed-trap