{"id":4632,"date":"2019-06-17T15:04:37","date_gmt":"2019-06-17T13:04:37","guid":{"rendered":"https:\/\/pre.greenbusinessaward.ch\/nominierte\/management-tool-for-measuring-urban-cleanliness\/"},"modified":"2022-02-09T16:34:50","modified_gmt":"2022-02-09T15:34:50","slug":"management-tool-for-measuring-urban-cleanliness","status":"publish","type":"nominees","link":"https:\/\/greenbusinessaward.ch\/en\/nominierte\/management-tool-for-measuring-urban-cleanliness\/","title":{"rendered":"Clean City Index"},"featured_media":4634,"template":"","kat-nominees":[34],"kat-prize-nominees":[37],"kat-partner-nominees":[93],"tag-nominees":[40,45],"class_list":["post-4632","nominees","type-nominees","status-publish","has-post-thumbnail","hentry","kat-nominees-2019-en","kat-prize-nominees-nominees-en","kat-partner-nominees-bafu-en","tag-nominees-construction-infrastructure-en","tag-nominees-digitisation-en"],"acf":{"inhalts_module":[{"acf_fc_layout":"text","text":"

Intelligent solution for cleaner cities<\/span><\/h2>\n

CortexIA is the first Cleantech company to use Artificial Intelligence to monitor and optimize cleaning of cities.<\/h4>\n

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Why is a clean city a major topical challenge?<\/strong><\/span><\/h3>\n

A clean city is a thriving city where quality of life and well-being are key for inhabitants.<\/p>\n

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Cities\u2019 population is constantly increasing, behaviors evolve. With urban densification and new societal habits, urban littering is increasing. At the same time, pressure on the environment as well as on the public budgets is getting stronger.<\/p>\n

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Cities\u2019 cleaning is currently done based on pre-established plannings. Road offices are doing a remarkable job to match these constantly growing challenges. Currently, no objective measurement exists to know how and where cleaning means should be engaged. Cities cleaning means are washers and street sweepers. Their annual fuel and water consumption are important while emitting tons of CO2. Quite regularly, machines are cleaning where it\u2019s not necessary.<\/p>\n

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Measuring street litter based on AI<\/span><\/h3>\n

CortexIA\u2019s solution is the world\u2019s first solution to manage cleaning based on real-time objective data of urban littering. Mobile cameras combined with AI algorithms provide information about the type, location and amount of litter, thus enabling a city to allocate cleaning resources as appropriate. They can then engage the right means at the right place and time. They don\u2019t clean more but better!<\/p>\n

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Camera…<\/p><\/div>\n

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…on a street sweeper<\/p><\/div>\n

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AI computing unit (\u00a9 CortexIA)<\/p><\/div>\n

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Our expertise to support the cities in optimizing investments and operations to achieve higher cleanliness performance is based on digital core technologies such as machine learning and intelligent vision systems. We have built up this expertise through close cooperation with partner cities in Switzerland (Z\u00fcrich, Geneva, Fribourg, Pully), anti-littering associations and the Swiss Universities (EPFL and HE-Arc).<\/p>\n

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A camera on a street sweeper locates different categories of waste (\u00a9 CortexIA)<\/p><\/div>\n

Litter is detected in a granular way and counted thanks to Artificial Intelligence. The measurement systems (cameras and computation units) are mounted on the city\u2019s vehicles: bus, sweepers, bicycles, etc. No images are recorded, only data is sent via a sim card which is ensuring Data Privacy.<\/p>\n

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Economic and ecological impact<\/span><\/h3>\n

Our solution optimizes cleaning steps. Littering will be effectively collected avoiding that it ends up in rivers, lakes and seas and one step further \u2013 by bioaccumulation \u2013 in our food.<\/p>\n

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The data is processed by a computer and used to calculate an average city clean index (green = clean, red = dirty, blue = overquality) (\u00a9 CortexIA)<\/p><\/div>\n

CortexIA\u2019s solution will lower the cleansing costs: Paradoxically, a clean city will usually spend less for cleaning: 50 \u20ac\/inhabitant\/year, this is the cost generally estimated for cleaning only. When using CortexIA methodology, cities will invest 1\u20ac\/inhabitant\/year (monitoring and solutions) to save around 5\u20ac\/inhabitant\/year.<\/p>\n

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Optimizing the cleaning resources will save costs as well as greenhouse emissions: Better use of cleaning machines, targeted places to be cleaned at a certain point of time, redefinition of the scope of activity for each machine. Our solutions will also improve the environmental footprint of cities. CortexIA can also provide Acceleration Coaches to Cities to ensure optimal implementation of the proposed solutions and get consistent results.<\/p>\n

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