IoT and AI prove ability to reduce cities' carbon footprint, traffic congestion and costs
With Nordsense Smart Waste Management Technology, San Francisco has realized an 80% decrease in overflowing trash cans; 66% decrease in street cleaning service requests; and 64% decrease in illegal dumping.
Unlike offerings that require customers to purchase or rent expensive ‘smart bins’, Nordsense IoT-enabled sensors fit existing trash bins of all sizes, from small city bins to large underground containers, saving municipalities both time and money. By virtue of its software as-a-service (SaaS) pricing model, Nordsense eliminates the capital expense and risk of replacing existing infrastructure; the company’s smart waste management solutions are available for a low, flat monthly subscription fee, which includes all device-related costs.
Upon placement in bins, Nordsense Pods monitor container activity – including fullness, temperature and fill rates – in order to identify waste generation patterns. Data from bins is collected by the company’s web-based platform, which then produces real-time analysis for city officials to visualize the fullness of every trash bin simultaneously and to deploy haulers only when needed.
Harnessing AI and machine learning, Nordsense Fleet Management and Intelligent Routing present actionable insights that empower waste management officials to identify areas in need and track the efficiency of improvements over time. The breadth and depth of insights mitigate container overflow, reduce the number of overall collections and vehicles on the road, guide bin placement and optimize operational resources.
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