This paper describes an innovative camera-based logistics analyzer for the generation of real-time information, for the reduction of intricacy with the smart tracking of logistics objects. The analyzer is to be applied in logistics environments for the identification, positioning and tracking of objects and for the acceptance, maintenance, and control of entire technical systems. Based on an autonomous IT conception, it can be used for the supplement of the existed system of observation, monitoring and quality control in the field of logistics.
CITATION STYLE
Kalkan, Y., Koç, E., Alias, C., & Noche, B. (2013). Smart Tracking of Objects in Logistics Processes with the Help of Image Processing. In Lecture Notes in Logistics (pp. 253–260). Springer Science and Business Media B.V. https://doi.org/10.1007/978-3-642-32838-1_27
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