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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

AI recognition at object and material level

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Sorting of new materials using look-through sensors and artificial intelligence

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Deep learning recognizes objects more granularly than a human eye. Examples of objects include bottles, food, packaging, electrical appliances, silicone cartridges and much more.

 

Easy-NIR detects additional properties such as weight, size, shape, material type, damage and color. In this way, new use cases can be addressed and additional material flows can be established.

AI-based Sensor & Analysis module

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  • Cost-effective hardware with simple installation.

  • Combination of NIR and digital camera systems.

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

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

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Use Cases & AI models

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

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Real-time process monitoring

Real-time process monitoring of material flows Dashboard

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

Dashboards for analyses and quality assurance

  • Enable data-based process optimization 

  • Digital quality control and reports

  • As well as the connection to sorting

Dashboard for digital quality control of paper and cardboard material flows

â– ALSO POSSIBLE AS A COMPLETE SORTING SYSTEM:

Optional expansion of the AI sensors with

pneumatic Sorting Module

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  • Expansion module for the AI recognition unit for a wide range of applications.

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

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

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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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