Item Measurement for Logistics-Oriented Belt Conveyor Systems Using a Scenario-Driven Approach and Automata-Based Control Design

Abstract

Given the success of online shopping platforms and e-commerce technology, there is an increasing necessity to quickly and safely package different types of items. Addressing this necessity requires technology to accurately measure items at a high speed. Existing studies, however, lack in terms of reproducibility and the diversity of the items measured. In this paper, we present a novel approach for item measurement, targeting automated packaging systems that make use of belt conveyors. In particular, leveraging a scenario-driven approach and an automata-based control design, we describe in detail the creation of a real-world prototype for belt conveyor-based item measurement. Experimental results obtained for this prototype demonstrate that it is possible to measure different types of items (boxes, books, household items) with a mean error of less than 3.02mm and a standard deviation of less than 2.34mm, for a maximum conveyor belt speed that is less than 0.5m/s and a maximum calculation time of 20ms.

Dimensioning Cuboid and Cylindrical Objects Using Only Noisy and Partially Observed Time-of-Flight Data

“…The quality of the depth information that is provided using modern three-dimensional (3D) sensors depends on the underlying technology. Existing works on dimensioning objects use lownoise, high-resolution 3D sensors such as structured light, stereo vision, and LiDAR to generate depth information [15][16][17]. These 3D sensors each have different tradeoffs and limitations that may not make them suitable for certain applications.…”