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Detektion von Bauschuttfraktionen

■ Use Cases

Sorting construction waste: recovering valuable materials.

We maximise the potential of your mineral fractions. Our AI-based sorting system accurately detects and separates contaminants such as gypsum, wood and plastics from as small as 5 mm. The result: high-purity, certifiable recycled construction materials.

The new potential in construction waste recycling.

Demand for high-quality recycled building materials is rising, whilst primary raw materials are becoming scarcer. Those who sort mineral waste streams accurately today are not only protecting the environment, but also tapping into valuable economic resources. 

Extracting raw materials: it is precisely in grain sizes smaller than 20 mm that the greatest economic potential lies. Until now, these valuable fractions were often lost – our technology makes them usable.

Certified quality: To successfully and profitably reintroduce recycled building materials into the market, absolute purity right down to the finest grains is crucial.

Genuine value creation: Instead of paying landfill charges for contaminated material, transform mineral waste streams into marketable products.

Protecting the plant economically: Modern sensor technology operates contact-free above the material flow. This minimises mechanical wear and ensures reliable, continuous operation.

“The quality of the final mineral product is what determines market access today. We need to be able to remove impurities down to the smallest grain in order to operate profitably. This is precisely where AI-based sorting changes the equation.”

Johannes Laier, co-founder and co-CEO at WeSort.AI

Profile of Johannes Laier, CEO and co-founder of WeSort.AI
Construction waste, such as stones, bricks and asbestos
The principle is simple: you define the target fraction – Vision.Sort ensures the market value as a high-quality raw material. 

Vision.Sort turns rubble into raw materials.

Vision.Sort is redefining the recovery of recyclable materials from construction waste. Rather than merely classifying material streams at a basic level, the system analyses their structure in depth. The camera captures the material stream, the AI evaluates the data, and a fine grid of valves spaced 5 mm apart ensures the precise discharge of individual components.

What the system separates for you:

  • Clean separation of contaminants: Plasterboard, wood and plastics are reliably isolated – the main mineral stream remains free of contaminants.

  • Higher purity grades: Your mineral end products meet exactly the quality standards required for high-quality recycling applications.

  • Better market prices: High-quality secondary building materials secure you long-term off-take agreements and higher revenues.

Vision.Sort: Operational facts

The Vision.Sort has been specially developed to meet the requirements of processing plants. It can be flexibly integrated into existing lines as a retrofit, operates with absolute reliability in continuous operation and is optimally designed for high throughput of mineral streams.

Technical specifications of Vision.Sort

Parameter
Spezifikation
Visual characteristics
Analysis of colour, shape, structure and object position.
Minimum object size
From 5 mm.
Recognition technology
High-resolution optical camera combined with AI identification.
Conveyor belt speed
Up to 4.0 m/s – full performance for high throughput.

Recover recyclable materials from construction waste with reliable processes. Let’s discuss integrating Vision.Sort into your plant. 

Contact options

Telephone

+49 931 73047390

E-Mail

FAQ

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Telephone

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Adress

WeSort.AI GmbH

Leightonstraße 3

97074 Würzburg 

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WeSort.AI is a growing technology company specializing in systems for granular analysis and sorting of waste objects using artificial intelligence.

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