![]() It also produced an 80% drop in the number of overflowing bins serviced, a 64% drop in illegal dumping and a 66% reduction in street cleaning. A highly successful pilot project in 2018 involving 48 “smart” trash bins strategically placed throughout San Francisco virtually eliminated “overflow” complaints from the public. This spring, that technology will be coming to San Francisco. And implementing the most advanced technology-enabled waste management is already saving that city at least an estimated €1 million per year. The process is unnecessarily expensive and environmentally harmful, and it fails to address overflowing trash, which leads not only to dirty streets but pests, illegal dumping and a surge of complaints from the public.īut what if we applied some of the most advanced technologies currently available to disrupt the waste management industry? What if trash collection were actually data-driven? What if innovations like data analysis and machine learning could optimize collection routes and reduce the number of overflowing bins, the overall number of collections and the number of public complaints, ultimately contributing to a cleaner city?įortunately, this is something we can do today. While trucks service empty bins, quickly filling and overflowing bins remain neglected. Sending CO 2-emitting vehicles on rigid schedules and static routes to collect trash from lots of empty or half-full bins is, well, wasteful. We largely manage waste collection today the way we did 100 years ago. And data shows nearly half are serviced when they are virtually empty. Some bins are already overflowing when serviced others are serviced well before they are full. Garbage trucks crisscross cities and service trash bins on predetermined routes with predetermined schedules. For the most part, waste collection is a decidedly low-tech undertaking, even in the world’s most dynamic urban centers. When you think about trash bins or waste management, we´re guessing advanced technologies like artificial intelligence (AI), machine learning and Internet of Things (IoT) don’t come to mind.
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