Inbound acceptance
AI scanners analyse incoming waste streams, providing instant material identification and contamination assessment.
What It Does
This solution is designed to inspect and verify incoming materials at the point of entry, ensuring only compliant and traceable loads are released into production. It enables:
Real-time material identification
Contamination detection at the gate
Automated logging and traceability
Integration with order and logistics systems

How It Works
AI Vision & Object Libraries: Cameras and AI models are trained to recognise a wide range of materials and contaminants, with object libraries tailored during the analysis phase.
Instant Classification: Each delivery is scanned and assessed for conformity with predefined specifications, including material type, purity, and packaging.
Inbound Log System: All findings are documented digitally, enabling full traceability and supporting continuous improvement across the supply chain.
System Integration: The solution can be linked to ERP or logistics platforms to match deliveries with purchase orders and streamline acceptance workflows.
Know what’s coming in - before it hits your line. Our Inbound Acceptance solution uses AI-driven scanners to analyse incoming waste or material streams, providing instant identification, contamination assessment, and traceability from the moment of arrival.
Why It Matters
Operational Excellence: Prevent non-conforming materials from entering production.
Quality Assurance: Ensure incoming materials meet your standards before processing.
Traceability: Maintain a digital audit trail for every delivery.
Efficiency: Reduce manual inspection and speed up acceptance procedures.
Built for Industrial Environments
Our Inbound Acceptance solution is robust, scalable, and designed for real-world conditions. It supports:
Deployment on metal, contruction waste, or mixed-material lines
Compliance with data privacy and security standards
Integration with existing material management systems
Operator training and stakeholder engagement to ensure adoption