Advanced Contamination Detection for Cleaner Recycling

Our AI-powered system identifies and removes contaminants from recycling streams with 95% accuracy, reducing processing costs and improving sustainability.

Transform Your Recycling Process

Our contamination detection system delivers measurable improvements in recycling quality and operational efficiency

AI-Powered Detection

Machine learning algorithms identify contaminants with industry-leading accuracy, reducing human error in sorting.

Real-Time Monitoring

High-speed cameras scan materials at 200+ frames per second, detecting contaminants as small as 1cm².

Data Analytics

Track contamination trends, identify problem materials, and optimize your recycling process with actionable insights.

Cost Reduction

Reduce processing costs by up to 30% by minimizing rejected loads and improving sorting efficiency.

Sustainability

Increase recycling purity rates by 40-60%, reducing landfill waste and improving environmental impact.

Automated Alerts

Instant notifications when contamination levels exceed thresholds, allowing for immediate corrective action.

How Our Contamination Detection Works

A seamless integration with your existing recycling workflow

1

Material Scanning

High-resolution cameras and sensors scan materials as they move along the conveyor belt, capturing detailed images from multiple angles.

2

AI Classification

Our deep learning algorithms analyze the scanned images in real-time, identifying and classifying materials with 95%+ accuracy.

3

Contaminant Removal

Automated sorting arms or targeted air jets remove identified contaminants from the recycling stream within milliseconds.

4

Data Logging

All detection events are logged with timestamps and images, creating a comprehensive database for quality control and reporting.

5

Operator Feedback

Facility staff receive real-time alerts and detailed reports to monitor system performance and contamination trends.

Advanced Detection Technology

Combining cutting-edge technologies for unparalleled accuracy

Computer Vision

High-speed imaging with spectral analysis for material identification

Deep Learning

Neural networks trained on millions of waste samples for precise classification

IoT Sensors

Multi-spectral sensors detect material composition beyond visible spectrum

Cloud Analytics

Centralized data processing with continuous algorithm improvement

95
Detection Accuracy
30
Cost Reduction
200
Items Processed/Min
40
Purity Increase

Trusted by Recycling Leaders

What our clients say about our contamination detection system

Implementing EcoDetect reduced our contamination rate from 18% to just 4% within six months. The system pays for itself through reduced processing fees and increased material recovery.

Michael Johnson

Operations Director, GreenCycle Facilities

The real-time alerts have transformed how we manage quality control. We can now identify contamination sources immediately and adjust our collection practices accordingly.

Sarah Williams

Sustainability Manager, Metro Waste Services

After installing EcoDetect, we've seen a 35% reduction in rejected loads from our MRF. The detailed reporting helps us demonstrate compliance with recycling regulations.

David Chen

CEO, EcoProcess Solutions

Ready to Improve Your Recycling Quality?

Join leading waste management companies in reducing contamination and increasing recycling efficiency with our AI-powered detection system.