Frequently asked questions

Waste characterisation: straight answers

What our technologies do, what they do not do, and how a project unfolds. The answers are based on our deployments; timescales and results always depend on the configuration of the site and on the incoming waste stream.

NextWaste

What does NextWaste do?

NextWaste audits, advises on, selects and integrates waste characterisation technologies: computer vision, artificial intelligence, sensors, robotics. We work at sorting facilities, waste-to-energy plants, recycling centres and textile sorting sites, and with local authorities. We do not manufacture the equipment or operate the sites: our role is to make waste streams measurable and to inform decisions.

Is NextWaste tied to a manufacturer?

NextWaste has no capital ties with equipment manufacturers. Our integration activity relies on declared commercial partnerships, presented on our About us page; the selection criterion remains performance on your waste stream. Owner’s advisory assignments fall under a separate framework, with the separation commitments set out in our owner’s advisory offer.

Who are your solutions for?

Local authorities and waste treatment syndicates, local public companies, operators of sorting facilities and waste-to-energy plants, recycling centre managers, recyclers and textile sorting operators.

Can we work with you without buying a technology?

Yes. The need may call for a diagnostic, a study or an owner’s advisory assignment. We specify the framework and the deliverables before starting. An owner’s advisory assignment is separate from an integration proposal. Details are on our Services and consulting and AI owner’s advisory for local authorities pages.

Characterisation and technologies

What is automated waste characterisation?

It is the measurement of the composition of a waste stream using computer vision, artificial intelligence and sensors, continuously on a line or on demand on a skip or a bin. It complements manual characterisations, which only cover samples.

How does it differ from manual characterisation?

In its coverage. At Allier Tri, contractual characterisations cover less than 10 t a year, out of 20,000 t processed; the analyser continuously reads all the objects visible on the line. The two approaches are complementary: manual characterisations are used to calibrate and check the automatic measurement.

Does AI replace manual characterisation?

It can complement the measurement set-up and increase the frequency of observation. Whether a manual characterisation or a specific protocol must be kept depends on the intended use, the contractual commitments and the applicable requirements. Comparison with a reference remains essential.

What reliability can be expected?

It is built site by site. Each system is calibrated by comparing its reading with time-stamped manual characterisations, using the site’s grid. Accuracy is not the same for an object count as for a mass estimate, and results depend on the configuration of the line and on the incoming waste stream.

What does the system actually measure?

Depending on the solution, it can identify visible objects, count categories, estimate a surface area or a volume, or use a weighing. A mass estimate must be distinguished from a measured weight.

What are the limits of these technologies?

We set them out from the start. A camera does not measure moisture and only identifies visible objects. Without a sorting line, mass is estimated from density and the contents of closed bags are not analysed. In textile sorting, near-infrared analysis only sees the surface: complex blends, some dyes, black fibres and conveyor speed remain difficult cases.

Does artificial intelligence replace sorting operatives?

No. It measures, alerts, and can control extraction equipment when such equipment is chosen. Operatives can then concentrate on the tasks where they are most useful: at Trigironde, automated extraction, still under study, would allow the sorters to refocus on fibre-based materials.

By facility

What is measured at a sorting facility?

The composition of incoming waste, of residues or of a given fraction, continuously: the share of recoverable materials in the residues, materials by category, throughput, critical contaminants such as batteries or nitrous oxide canisters. The data is stored over time and can trigger alerts. Our case studies give three concrete examples.

What does bunker analysis detect at a waste-to-energy plant?

Contaminants visible at tipping, gas canisters and bulky items, with an alert before incineration. As an option, number plate recognition links each delivery to the company that made it. Depending on the set-up chosen, an estimate of the heating value of each delivery helps with mixing in the bunker: its benefit is assessed at each site.

Is a sorting line needed to characterise skips or bins?

No. When a skip, bin or truck is emptied, video analysis recognises the visible materials and estimates a volume; as an option, number plate recognition links the waste stream to whoever delivered it. For a more detailed measurement, a characterisation station combines a tipper for 120 to 660 litre bins, a conveyor, an analysis gantry and a scale.

How does fire protection with patrol robots work?

Autonomous robots map the site and carry out their patrols, indoors and outdoors, with one unit taking over from another. As they pass, their thermal turret spots temperature anomalies, smoke or flames, which are reported according to an alert scenario agreed with your teams. Coverage and patrol frequency depend on the sizing chosen. The model is rental, with no upfront investment; sensors on conveyors complete the coverage within the process.

Project, data and regulations

How long does it take to obtain usable data?

Installation takes a few hours: less than two hours on the Trigironde residue line. The real delay is calibration. It took two to three weeks at Trigironde, and two months at Allier Tri, where the classification grid was entirely reviewed with the operator.

Do we need in-house data analysis skills?

No. At the start, we produce regular reports, help interpret trends and turn recurring drifts into simple alerts. Together with the site, we choose a few useful indicators, rather than multiplying dashboards.

Should the operator be involved?

Yes, from the start. At our reference sites, calibration was carried out with the operator. The data helps the operator understand the process, link a performance gap to the quality of incoming waste and know the limits of the line. It is a basis for dialogue, not a control tool.

Is it necessarily cheaper?

No. You need to compare the full cost of the system with the service provided: installation, any subscription, sample preparation, checks, analysis time and use of the results. Targeted monitoring can be more relevant than a widespread deployment.

How is the project financed?

Arrangements vary depending on the solution and the assignment: services, equipment, licences or rental. The quote distinguishes these components. Your finance department determines how they are treated according to the contract and the applicable rules.

Who owns the data?

You remain the owner of your data. The rights of access, use, export and return are defined in the contract: we specify the roles of the supplier, the operator and the local authority, as well as the conditions for retention and reversibility. The data is returned to you as dashboards and exportable reports.

Does characterisation help meet EPR obligations?

It documents the composition of waste streams continuously and over time: a factual basis for traceability, audits and dialogue with producer responsibility organisations. The stakes are rising with extended producer responsibility (EPR) for commercial and industrial packaging, in force since 1 January 2026, whose operational implementation was set for 1 January 2027.

How do we get started?

With a thirty-minute conversation to scope your challenges and your waste streams. Depending on the case, we propose a time-limited audit, a feasibility study, an owner’s advisory assignment or a deployment directly on the useful measurement points.

Your question is not on the list?

Thirty minutes to talk about it, based on your waste streams and your site.

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