CIRC-LOCK Assay-Gate Digital Platform: Machine-Verifiable Waste Routing Through Multi-Modal Sensor Fusion and Constraint-Based Optimization
Year: 2025
Type: article
Abstract: Technical white paper presenting an open-source industrial waste management system that transforms manual characterization processes (27-46% non-compliance, 7-27 day cycles) into real-time, machine-verifiable routing decisions. Integrates computer vision (YOLOv8, 93.2% precision, 470ms inference), Unscented Kalman Filter sensor fusion (64% uncertainty reduction), constraint-based admissibility gating (RCRA/EU WFD compliance), and MILP optimization (13.9% value improvement). Generates cryptographically hash-chained evidence packs with 9-16% overhead. Validated via shadow-mode deployment: 98.8% accuracy, 17.5× faster decisions, $1.84M annual facility benefit, 4,500 tCO₂e/year GHG reductions. Apache 2.0 licensed for industrial adoption. Submitted to Shell GameChanger challenge addressing circular economy market opportunity ($8.9B, 10% CAGR).
Author: Finks, Christopher
Institution: "Dunarea de Jos" University of Galati
Language: English
Subfield: Waste Management and Disposal
Field: Environmental Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7104025120
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