1. Multi-Parameter Inspection
Combines AI vision, contaminant inspection, moisture measurement and production data to provide broader incoming-material quality information.
AI Recovered Paper Inspection System
Direct In-Process Moisture Measurement
The AI Recovered Paper Inspection System combines material preparation, AI vision inspection, selected contaminant detection, microwave moisture measurement and digital quality evaluation.
Designed for paper mills and recovered-paper receiving facilities, the modular system improves incoming-material visibility, inspection consistency and quality-data traceability.
Core Information
| Detection Target | Typical Applications |
|---|---|
| Paper Grade · Visible Off-Grade Materials · Selected Contaminants · Moisture | Incoming Material Inspection · Supplier Quality Evaluation · Procurement Inspection · Receiving Quality Control |
Product Overview
Integrated Recovered Paper Quality Inspection
Recovered-paper quality cannot always be evaluated using a single measurement parameter.
Paper grade, visible contaminants, moisture and material weight can all affect procurement evaluation and production suitability.
The MOSYE system combines selected inspection components in one configurable platform. Inspection results can be connected with supplier, batch and weighing information to support receiving quality control and procurement management.
Final system configuration depends on the paper mill’s recovered-paper grades, purchasing standards, receiving process and inspection objectives.
Suitable Process Media
The system can be configured to evaluate:
Recovered-paper grades
Visible off-grade materials and contaminants
Selected sensor-detectable foreign materials
Truckload or individual-bale moisture
Weight, supplier and batch data can also be integrated.
Final capability depends on the selected modules and application requirements.
Measurement Principle
Recovered paper is prepared and conveyed through the inspection line. Industrial cameras capture material images, and application-specific AI models identify configured paper grades and visible off-grade materials. Additional components can measure moisture or detect selected contaminants. The system combines inspection results with weight, supplier and batch information to generate digital quality records. AI vision evaluates only materials visible to the cameras. Hidden or covered materials may require bale opening, material separation or additional inspection methods. Final acceptance and settlement decisions remain subject to the paper mill’s approved inspection procedures.
Key Advantages
2. Configurable System Design
System components can be selected according to recovered-paper grades, inspection targets, receiving workflow and project requirements.
3. Consistent Quality Evaluation
Configured recognition categories and quality rules help apply more consistent inspection criteria across suppliers and incoming batches.
4. Digital Quality Data
Inspection results can be connected with weighing, receiving, quality-management, ERP or procurement systems.
Technical Specifications
Available Configurations
1
Configuration1
AI Vision Inspection Configuration: AI vision configuration for identifying selected recovered-paper grades, visible off-grade materials and configured visible contaminants.
2
Configuration2
AI Inspection with Material Preparation: Combines bale opening, material distribution and AI vision inspection to provide more consistent image-acquisition and inspection conditions.
3
Configuration3
Integrated Multi-Parameter Inspection: Combines material preparation, AI vision, selected contaminant detection and quality-data management, with optional integration of separate moisture measurement systems. Moisture measurement can be configured with: MS-X590: representative whole-truck moisture evaluation before unloading \MS-590L-1: individual-bale moisture measurement after unloading . Final configuration depends on the receiving workflow, inspection targets and project requirements.