AI-powered solution supports city’s objectives of piloting emerging technology to improve municipality efficiency.
To decrease the frequency of waste contractor visits to busy areas, the City of Melbourne has offered local residents and businesses subscription-based access to the large-capacity compactor facilities. With the compactor in place, Council then wanted to understand how the service was being utilised and how to mitigate illegal waste dumping, which can quickly create safety and hygiene issues in the area.
Under its ‘emerging technology testbed’ initiative, the City of Melbourne worked with Nokia to leverage an existing network of installed cameras as internet of things (IoT) sensors to monitor one of the compactors.
The Nokia Scene Analytics solution employed an AI-powered algorithm to filter and collate data from the cameras, while also combining other data sources, such as operational data on the compactor itself, to create real-time alerts and produce reports. Initial trial results demonstrate that Scene Analytics can support the City’s objectives for better, safer citizen experiences while simultaneously lowering maintenance and down time costs for waste management services.
This innovative use of Scene Analytics has been recognized on a national stage as the partnership between Nokia and the City of Melbourne was shortlisted for the Communications Alliance’s ACOMMS awards in the Artificial Intelligence category.
Trial details:
- The trial allowed for real-time monitoring and detection of activity in the vicinity of the compactor using a virtual tripwire. Object detection and object counting was used to identify and count items to show how the compactor was impacted by items incorrectly placed within it, while also identifying potentially dangerous items. Anomaly detection identified unusual movements, such as illegal waste dumping during the night, while face and license plate blurring maintained individual privacy during the trial.
- Using these reports, City of Melbourne can better understand the correlation between illegal waste-dumping activities and compactor downtime, to keep maintenance teams better informed and minimize issues. It also allows them to swiftly address waste dumping activities before they become a hazard, viewing locations in real-time to observe any obstructions to service vehicle access, and adapting their schedule to reduce unnecessary visits and minimize their carbon footprint. By understanding patterns of compactor usage and waste dumping activities, the city of Melbourne is also able to patrol the area more effectively, while developing an ongoing campaign to better inform and educate the community.
