Litter Management with Image Recognition: From Insight to Action

Litter is one of the most visible challenges in public spaces. But tackling it does not start with cleaning it up.

The challenge is not only where litter is present, but also what type of litter is involved and where intervention will have the greatest impact. Making the right decisions requires insight into what is happening in the field and where priorities should be focused.

In this blog, you'll discover how image recognition helps organisations gain insight into litter, identify hotspots and better support field teams in making the right decisions.

Why the Type of Litter Matters

Different types of litter require different approaches. Litter on paved surfaces often requires a different response than litter in green areas. Location also plays an important role. For example, litter in grassed areas can become more urgent when mowing is scheduled, as waste may spread further, increase pollution and potentially damage mowing equipment.

The impact of different types of litter also varies. A concentration of cans, bottles or packaging materials can be a sign that an area is developing into a hotspot. Acting quickly in these locations is important, as litter often attracts more litter. Nitrous oxide canisters, on the other hand, may require a different response, where insight into recurring locations can provide valuable information for enforcement activities.

From Occasional Visibility to Continuous Insight

Traditionally, litter management relies heavily on the knowledge and experience of field crews. They often know exactly where litter regularly accumulates and which locations require extra attention. At the same time, this means that part of their daily effort is spent checking known locations and searching for new litter hotspots.

With image recognition, public spaces can be monitored continuously and at high frequency during regular routes. Without the need for additional inspection rounds, organisations gain an up-to-date view of where litter is present, what types of litter are occurring and how pollution is developing over time.

This makes it clear which locations are consistently affected by litter and where action should be prioritised. Instead of spending time looking for litter, field crews gain direct insight into where their efforts will have the greatest impact.

Turning Insight into Action

Within Jewel, this information is presented in an intuitive way for both office staff and field crews. Supervisors and planners gain insight into trends and priorities, while field teams can immediately see where their efforts will have the greatest impact and which approach is most appropriate.

For example, litter on paved surfaces may require a different response than larger litter items in green areas. By providing insight into both the type of litter and its location, teams are better equipped to make the right decisions in the field.

Depending on the organisation’s way of working, this information can be displayed as map-based priorities or translated into specific tasks. This creates a shared view of the public space, enabling teams to prioritise more effectively, collaborate more easily and respond to the dynamics of the day.

Beyond Cleaning Up Litter

Lasting improvement does not come from working harder, but from having better insight and a more targeted approach. By making litter visible and translating that information directly into operational priorities, we help teams make better decisions in the field, every day.

Talk to an expert or learn more about our image recognition solution and discover what it can mean for your organisation.