Dealing with street cleaning is an expensive and time-consuming business. Considerable resources are focused on regular sweeps that may or may not pick up much rubbish - meanwhile sudden build-ups of grafitti or fly-tipping may go uncleaned for often lengthy periods between sweeps.
"Video captured from cameras already installed in the parks for security purposes streams in real-time to a cloud-based AI service in Microsoft Azure. The AI service, designed by the city, analyses the video data to make a determination, based on what the AI system has been trained to spot. If a park is judged dirty, a work order is generated to clean it.... In developing the project, Vegas city staff relied on generally available, less expensive software tools and already-installed video cameras. The cameras aren’t the most expensive high-resolution models that are equipped for facial recognition. They don’t store data directly; they send all the collected data over wireless to a server for analysis. The city hopes to patent its AI learning approach." There have been challenges with getting city crews to switch over to this just in time approach. Whilst there is apparently opportunities for "large" savings, but (perhaps not-unconnected with the staff management challenge) these have not been released at this stage.
The Las Vegas system has already worked successfully in two parks near the downtown area and may soon be adapted for other parks and city roadways.