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AI-Analytics and Sorting System
AI object recognition for next-generation recycling. Use artificial intelligence to recognize granularly what runs through your recycling plant. AI recognition at object and material level: Sorting of new materials using look-through sensors and artificial intelligence. 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.
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Cost-effective hardware with simple installation.
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Combination of NIR and digital camera systems.
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Deep learning object recognition for granular detection of material and objects.
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Interfaces for analysis, sorting, control, optimization and monitoring.
Dashboards enable clear, real-time monitoring of your material flows. Warning messages indicate faults, hazards and unusual events.
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Enable data-based process optimization
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Digital quality control and reports
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As well as the connection to sorting
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Expansion module for the AI recognition unit for a wide range of applications.
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Pneumatic air pressure nozzle strip for blowing out the desired objects.
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Flexible installation at the end of conveyor belts up to 4 m/s.
