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Tender challenges / Maribor

Maribor is the second-largest city in Slovenia and is home to the second largest university in the country. To address environmental issues, Maribor has partnered with neighbouring municipalities to form the Joint Environmental Protection Service (SSVO). In 2018, a new Automated Sorting Plant for municipal solid waste was built by a waste utility company owned by the city, with the capacity to sort 52,000 tons of waste per year.

Envisaged solution

Maribor is looking for socio-technical systems based on smart combinations of software and hardware (such as IoT sensors and ML/AI services) that collect relevant data from the waste collection process and use it to improve citizen engagement in waste selection and differentiation at source. Specifically, sensing devices may use computer vision and machine learning algorithms capable of identifying various waste fractions / types in the waste collection phase (i.e., as an upgrade to the garbage truck, or alternative options). The general public can be empowered by sharing and visualising process data and information, by facilitating proper communication, awareness raising and education and thus reducing mixed waste production and improving waste sorting and recycling rates.

Information on the location of the experimentation

The experimentation area includes settlements of individual houses in the municipality of Maribor. These are located on the right bank of the Drava River. The settlements of Pobrežje, Brezje, Dogoše, Zrkovci, Tezno, Studenci and Magdalena are included. The area includes approximately 6,000 home addresses. The locations stretch diagonally in a direction from southeast (lat. 46.5155°, lon. 15.7134°) to northwest (lat. 46.5681°, lon. 15.6035°).

Citizens separate and collect in their households mixed municipal waste, biological waste, waste packaging, paper and cardboard, and glass packaging. Depending on the type of fraction, waste is collected at different frequencies. Mixed municipal waste is collected every three weeks. Waste is collected with conventional bins (HDPE) and garbage trucks (with a push plate and a rotating drum).

The included locations are shown on the following map. 

Location of the experimentation area (urban settlements in the municipality of Maribor)

Specific requirements

  • Solutions that promote datasets creation, including data acquisition by IoT sensors and the collection of real time environmental data
  • Solutions that allow relevant data visualisations, both for remote monitoring purposes and to improve decision making
  • Solutions that integrate created datasets and embed visualisation functions in a single tool
  • Solutions that embed gamification and/or educational aspects, such as general or specific advice on how to improve one’s own behaviour, understand data visualisations, etc
  • Solutions that are promptly available as applications (for smartphones and tablet PCs, on Android and/or IOS operating systems).

Minimum requirements

Data usage

The solution should at least rely on the following datasets: 

  • data on the type of municipal waste collected on-site,
  • data on the quantity of different / improper waste fractions
  • image data
  • quantity
  • users’ feedback
  • database of RFID chips of existing waste bins
  • location and time of waste scan / data acquisition

Data acquisition

The provider should at least acquire the following datasets: bin identification via transponder in the process of emptying data transfer

Data availability

The provider should at least use the following datasets made available by the City: 

  • bin codes, existing RFID transponder codes in the bins, collection point codes, the correct type of waste collected in the bin, vehicle characteristics and technical data.
  • all information and data available from the public waste management company Snaga

Data generation

The solution should at least generate the following datasets: ​​

  • data on the quantity of different / improper waste fractions
  • report / data collected for each bin / user

Data visualisation

The solution should at least enable visualisation of the following datasets: ​​mapping of inadequately sorted waste on the level of streets / neighbourhoods (geolocated data)

Socio—technical solution A

The active engagement of citizens should at least be ensured during the 12 months of experimentation.

Socio—technical solution B

The way active engagement of citizens will contribute to a better performance of the solution should be described in detail.

Socio—technical solution C

A minimum number of 250 citizens should be engaged by the provider during the 12 months of experimentation.

Socio—technical solution D

The solution should at least demonstrate impacts on the following citizen behaviours”: better engagement in the waste separation at the source, improving of recycling rate at the local level.

Socio—technical solution E

The provider should at least involve the following local stakeholders during the 12 months of experimentation”: Maribor city’s waste management company JAVNO PODJETJE SNAGA and citizens in the specified city district.


Snaga’s ERP system and the platform intended for users (providing access to information about the schedule of pickups, working hours, etc.).


Use of the solution should not imply the release of personal data unless for specific and motivated purposes.


The provider should specify how the solution can be scaled from the site of experimentation to the broad City level.


The provider should specify the conditions under which the same solution can be adopted by other Cities with similar challenge.

To participate to the tender, please read our tender documentation, this page is a simple overview about the Maribor challenge. To visit the documentation, click on the green button below.


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