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AI object recognition for next-generation recycling

Use artificial intelligence to recognize granularly what runs through your recycling plant.

AI object recognition of plastic waste
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AI-based analytics and sorting

Object recognition by artificial intelligence better than a human

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Sorting of new objects and fractions by artificial intelligence.

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Anything that a human sorter with a lot of experience can recognise, the AI can also learn and describe and classify at least as specifically.

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Examples of objects include gas cartridges, circuit boards, food and non-food packaging, specific electrical appliances such as cordless screwdrivers, silicone cartridges, special interference objects, batteries, copper anchors, cables, bricks and much more.

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This allows new use cases to be addressed and additional material flows to be established.

Vision.Insights | AI-based sensor module 

  • Deep learning object recognition for granular detection of material and objects.

  • Interfaces for analysis, sorting, control, optimisation and monitoring.

  • Perfect for developing and testing new, unknown sorting applications in the real environment.

  • Easy installation above the conveyor belt.

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Use Cases & AI models

Explore our use cases and find the right solution for your system.

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â–  ALSO POSSIBLE AS A COMPLETE SORTING SYSTEM:

Vision.Sort | Entire AI-based sorting system

  • The Vision.Insights and a pneumatic sorting line plus conveyor belt and bonnet make up the complete Vision.Sort from WeSort.AI

  • Pneumatic air pressure nozzle bar for blowing out the desired objects. 

  • Flexible installation at the end of conveyor belts up to 4 m/s.

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Real-time process monitoring

Dashboards enable clear, real-time monitoring of your material flows. Warning messages indicate faults, hazards and unusual events.

Dashboards for analyses and quality assurance

Dashboard for digital quality control of paper and cardboard material flows
  • Enable data-based process optimization 

  • Digital quality control and reports

  • As well as the connection to sorting

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WeSort.AI GmbH

Leighton Street 3

97074 Würzburg ​

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+49 931 73047390

 

contact@wesort.ai

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