TL;DR
- Milieu Service Nederland equips its rear loaders with AI cameras from Rematics, which record at every lift which waste fractions are in the container.
- The collector uses that data in advisory conversations with business customers about source separation, collection solutions and collection frequency.
- The result: objective information about non-conformities, even where the driver cannot look into the container himself.
Milieu Service Nederland collects commercial waste from customers in the Netherlands. Since 2026, the collector's rear loaders have been running with AI cameras from Rematics. At every lift, those cameras record which waste fractions are in the container. That gives Milieu Service Nederland a view, per customer, of how well waste is being sorted.
The question: what is really in the container?
A lot of material ends up in commercial waste that would be better collected separately. Cardboard, film and PMD end up in the residual waste and so go to the incinerator. In commercial waste, D4T measures on average 40 to 50 per cent recyclable material.
A driver cannot always see that. A container is emptied in a few seconds and the contents are often not visible from the cab. Without cameras, a conversation about sorting often stays at an impression.
The solution: cameras at the back of the rear loaders
Milieu Service Nederland chose D4T. The cameras hang at the back of the rear loaders and analyse the waste during the lift. Computer vision recognises the waste fractions and records per container what was inside. The results are in the Daisy Portal, with images for each detection.
In it the collector sees patterns: which customers structurally present non-conforming waste and where extra separation is possible.
"Within the commercial waste market, we are the first to do this," says Amer Tihic, logistics director at Milieu Service Nederland. He sees the cameras as a logical step towards data-driven waste logistics.
From data to advice
The data does not disappear into a report. Milieu Service Nederland uses it in conversations with customers. Commercial director Dennis Ostendorf points out that customers get a clearer picture of their waste profile this way. On that basis, the collector gives more targeted advice on separation and residual waste.
In practice, that advice can take different forms:
- an extra waste stream, for example a separate container for cardboard or film;
- an adjusted collection frequency, so containers do not overflow;
- targeted support at locations where separation can be improved.
The images make the conversation objective. The customer sees for himself what was in his container.
Why this works for both parties
For the customer, better sorting means less residual waste. For Flemish businesses this carries extra weight since 2026, because commercial residual waste is invoiced on actual weight and the environmental levy on incineration has gone up. You can read more in What contamination really costs.
For the collector, it brings cleaner streams and a stronger customer relationship, based on advice instead of discussion.
Also at inter-municipal authorities
It is not only private collectors who work this way. Limburg.net uses D4T in its Optimo system to map sorting behaviour better. See the Limburg.net use case on the product page.
Also read the original news item about Milieu Service Nederland. Want to know what D4T sees in your containers? Request a demo.