Scrap Reduction

Maximize Material Recovery and Minimize Waste with IoTiView

Next-Generation Scrap Identification for Smart Manufacturing

IoTiView’s Scrap Identification solution revolutionizes how manufacturers and recyclers detect, classify, and manage scrap materials. By automating the identification process with advanced technologies like computer vision and elemental analysis, IoTiView helps you improve accuracy, accelerate processing, and extract maximum value from every scrap stream- supporting both operational efficiency and environmental responsibility.

The Challenge

Why Accurate Scrap Identification Matters

Managing scrap effectively is critical to reducing waste, controlling costs, and improving sustainability in manufacturing and recycling operations. However, traditional scrap identification methods often rely on manual inspection and sorting, which are time-consuming, error- prone, and inconsistent.

  • Inconsistent Manual Sorting
  • Slow Processing Times
  • Material Contamination
  • Limited Traceability
  • Environmental Impact

The Solution

Automated Scrap Identification with IoTiView

IoTiView leverages cutting-edge technologies to transform scrap identification from a manual, error-prone process into a streamlined, data-driven operation. Our solution integrates computer vision, elemental analysis, and intelligent software to classify scrap materials accurately and rapidly-empowering your teams to make better decisions and maximize scrap value. With IoTiView, you can:

Enhance Value Extraction

Optimize material separation to recover the highest value from scrap streams.

Support Environmental Sustainability

Maximize resource recovery and reduce waste through precise scrap classification and tracking.

Automatically Identify Scrap Materials

Use AI-powered computer vision and X-ray analysis to classify scrap by type, grade, and composition without manual intervention.

Improve Sorting Accuracy

Minimize human error and ensure consistent, reliable grading for better pricing and resale.

Accelerate Scrap Processing

Speed up sorting and handling workflows, increasing throughput and operational efficiency.

Utilize high-resolution cameras and AI algorithms to analyze visual features of scrap materials for rapid classification.

Employ X-ray fluorescence (XRF) and other elemental detection technologies to precisely identify metal alloys and composite materials.

Integrate portable devices for on-site scrap analysis, enabling quick decisions in scrap yards or production lines.

Centralize data collection, reporting, and analytics with software that tracks scrap types, quantities, and trends.

Connect with sorting machinery and robotics to enable real-time, automated separation based on identification results.

Monitor scrap streams, track material flows, and receive alerts for anomalies or contamination.

Sync scrap data with enterprise systems for accurate inventory management, costing, and compliance reporting.

Capabilities That Power IoTiView Scrap Identification

Advanced Analytics and Continuous Improvement

Scrap Yield Optimization

Analyze scrap generation patterns to identify root causes and reduce waste at the source.

Material Flow Tracking

Gain end-to-end visibility of scrap movement and processing to improve operational efficiency.

Quality and Compliance Reporting

Generate detailed reports for regulatory compliance and sustainability initiatives.

Why IoTiView Stands Out for Scrap Reduction

Automated, Accurate Classification

Advanced AI and elemental analysis technologies deliver consistent and reliable scrap identification.

End-to-End Scrap Visibility

Track scrap from generation through sorting, processing, and resale for full transparency.

Integration with Operational Systems

Seamlessly connect scrap data with ERP, MES, and inventory systems for streamlined workflows.

User-Friendly Interfaces

Intuitive dashboards and mobile apps empower operators and managers with actionable insights.

Industry-Specific Solutions

IoTiView’s Production Monitoring is tailored for

01Automotive

Rapidly classify and sort mixed metal scrap from stamping, machining, and assembly lines to improve recycling rates, reduce contamination, and optimize scrap value.

02Aerospace & Defense

Ensure precise identification and separation of high-value alloys (such as titanium and aluminum) from production scrap and end-of-life components, supporting strict quality standards and maximizing material recovery.

03Heavy Machinery

Accurately identify and segregate large, complex scrap parts and wear components, enabling efficient recycling and reducing waste disposal costs.

04Oil & Gas

Track, classify, and manage scrap generated from equipment decommissioning, pipeline maintenance, and facility upgrades, ensuring compliance and maximizing resource recovery.

05General Manufacturing

Automate scrap sorting across diverse material streams, reduce manual errors, and support sustainability goals by increasing the recovery of reusable materials.

IoTiView's machine status monitoring has evolved our maintenance approach. We catch problems earlier, avoid costly downtime from unscheduled maintenance, and keep our operations running smoothly. Our machines stay running and our jobs keep flowing.

Production Manager

Global Manufacturing Firm

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