Optimizing multi-spectral ore sorting incorporating wavelength selection utilizing neighborhood component analysis for effective arsenic mineral detection

N Okada, H Nozaki, S Nakamura, EPA Manjate… - Scientific Reports, 2024 - nature.com
Arsenic contamination not only complicates mineral processing but also poses
environmental and health risks. To address these challenges, this research investigates the …

Stochastic Optimal Control of an Optical Sorter With Material Recirculation

M Walker, M Reith-Braun, A Bauer… - … on Control Systems …, 2024 - ieeexplore.ieee.org
The optical bulk material sorting is a key technology on our way toward a circular economy
and efficient recycling. However, controlling the sorting accuracy has so far been severely …

An Image‐Based Approach to Automated Recognition of Asbestos‐Containing Components in Wall Demolition Waste

A Bauer, H Kruggel‐Emden - Chemie Ingenieur Technik, 2024 - Wiley Online Library
The feasibility to discriminate potentially asbestos‐containing components from asbestos‐
free concrete based on camera images using the example of wall demolition waste is …

[PDF][PDF] Particle-Specific Deflection Windows for Optical Sorting by Uncertainty Quantification

M Reith-Braun, K Liang, F Pfaff, G Maier… - 10th Sensor-Based …, 2024 - isas.iar.kit.edu
In current state of the art sensor-based sorting systems, the length of the deflection windows,
ie, the period of nozzle activation and the number of nozzles to be activated, is commonly …