In:
tm - Technisches Messen, Walter de Gruyter GmbH, Vol. 85, No. 3 ( 2018-3-26), p. 202-210
Abstract:
Sensor-based sorting provides state-of-the-art solutions for sorting cohesive, granular materials. Typically, involved
sensors, illumination, implementation of data analysis and other components are designed and chosen according to the sorting task at hand. A common property of conventional systems is the utilization of scanning sensors. However, the
usage of area-scan cameras has recently been proposed. When observing objects at multiple time points, the corresponding paths can be reconstructed by using multiobject tracking. This in turn allows to accurately estimate the point in time
and position at which any object will reach the separation stage of the optical sorter and hence contributes to decreasing the error in physical separation. In this paper, it is proposed to further exploit motion information for the purpose of
material characterization. By deriving suitable features from the motion information, we show that high classification performance is obtained for an exemplary classification task. The approach therefore contributes towards decreasing the
detection error of sorting systems.
Type of Medium:
Online Resource
ISSN:
2196-7113
,
0171-8096
DOI:
10.1515/teme-2017-0063
Language:
English
Publisher:
Walter de Gruyter GmbH
Publication Date:
2018
detail.hit.zdb_id:
2025790-9
SSG:
15,3