AI-Driven Optical Sorting for Rubber Recycling and Manufacturing
The Challenge of Sorting Rubber with Accuracy and Efficiency
Sorting rubber materials—whether in recycling streams or during manufacturing—is a complex, error-prone task. Variations in color, size, texture, and contamination levels make it difficult to achieve consistent quality using manual inspection or basic rule-based systems.
In high-throughput environments, even small inaccuracies can lead to production downtime, material waste, or reduced end-product performance.
How Robovision’s Optical Sorting Solution Transforms Rubber Processing
Robovision brings advanced AI and computer vision technology to rubber sorting. Built on our adaptable 2D Grading & Picking platform, the Optical Sorting System analyzes rubber pieces in real time using high-resolution 2D cameras and AI-trained models to detect defects, contaminants, and non-conforming materials—automatically and with precision.
What it delivers:
Visual defect and contamination detection
Identifies plastic, metal, wood, or foreign particles.
Accurate sorting by color, size, and shape
Even for shredded, ground, or molded rubber.
Custom classification rules
Based on your production quality or reuse requirements.
Adaptive learning capabilities
System evolves with changing materials or specs.
With Robovision’s no-code AI platform, your technical or operations staff can quickly train and deploy models, adjust sorting criteria, and keep systems running without deep AI expertise. This flexibility helps maintain consistent quality in ever-changing processing environments.
Smart Sorting for Clean, Consistent Rubber Output
Whether you're recycling post-consumer tires or refining industrial rubber parts, Robovision’s Optical Sorting for Rubber helps you boost yield, reduce contamination, and lower processing costs through intelligent automation.
Ready to bring precision AI to rubber sorting?
Let’s future-proof your operations with intelligent vision systems.