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The Clean City Index – or CCI – assesses the different factors influencing urban cleanliness through the use of AI measurement

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AI Driven Clean City Index

Keeping our cities clean requires substantial resources in terms of machines and personnel. Depending on the country and the city, urban cleaning can be the responsibility of the road authority (public service), delegated to private companies, a combination of these two approaches, or carried out by a public-private partnership.

In the relationship between the client and the organization in charge of cleanliness, this quality of service can be measured through a cleanliness index, allowing for an objective and quantified evaluation. This is an obligation of result! Moreover, this measure of cleanliness makes it possible to identify areas that are over-cleaned or not clean enough in relation to the expected quality of service and to commit resources where they are needed. In other words, to manage cleaning by quality and results rather than by means.

For this reason, Cortexia has developed a technology combining imagery and AI algorithms to calculate a Clean City Index (CCI). The CCI measures the level of cleanliness of a place (street, square, etc.) by a score ranging from 0 (dirty) to 5 (clean). This index can be extended to the whole city or to its street sectors. Regardless of the city, the definition of the index stays the same.

Measuring street litter based on AI

The measurement systems (cameras and computation units) are mounted on the city’s vehicles: bus, sweepers, bicycles, etc. The image captured by the cameras and the AI algorithm provides information about the type, location, and amount of litter. 

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Litter is detected in a granular way and counted. The overall assessment is then determined by weighing the measurement according to the seriousness of the waste, i.e. its influence on the perception of the place’s cleanliness. 

For example, broken glasses or excrements have a severity of 4, impacting the index 4 times more than cigarette butts or leaves that have a severity of 1.

The results are then translated to a dashboard showing the CCI index on each street. The colour codes indicate the outcome of the CCI assessment. 

- Green : the measured level of cleanliness of a street is within the defined quality level

- Blue : the measured cleanliness level of a street is above the expected quality level (over quality, the street is already clean and does not need to be cleaned anymore)

- Red : the street is not at the expected quality level (dirty).

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Already implemented in:

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City of Utrecht
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City of Geneva (North West)
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