IEEE International Conference on Industrial Technology, 2003
DOI: 10.1109/icit.2003.1290265
|View full text |Cite
|
Sign up to set email alerts
|

Development of a mechatronic device for high-speed coin sorting

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1

Citation Types

0
4
0

Publication Types

Select...
3
2
1

Relationship

0
6

Authors

Journals

citations
Cited by 7 publications
(4 citation statements)
references
References 0 publications
0
4
0
Order By: Relevance
“…Separating and screening equipment is a core unit of the feeding device, which can automatically adjust the centre distance of the input parts and execute some transmission works at the same time [7–10]. However, in previous studies, the separating and screening techniques rely more on the external structure and gravity of the assembly parts, which are likely to result in low working efficiency, low accuracy, low automaticity, and poor applicability.…”
Section: Introductionmentioning
confidence: 99%
“…Separating and screening equipment is a core unit of the feeding device, which can automatically adjust the centre distance of the input parts and execute some transmission works at the same time [7–10]. However, in previous studies, the separating and screening techniques rely more on the external structure and gravity of the assembly parts, which are likely to result in low working efficiency, low accuracy, low automaticity, and poor applicability.…”
Section: Introductionmentioning
confidence: 99%
“…a system by which both sides of a coin are first imaged by cameras, followed by feature extraction from binarized images, and finally combined with a magnetic sensor measurement is described by Hibari & Arikawa (2001). The so called Dagobert coin recognition system was developed for high volumes of coins and a large number of currencies (Fürst et al, 2003;Nölle et al, 2003). Image binarization followed by area measurement and comparison of coin center and center of gravity was also suggested in a patent (Onodera & M., 2002).…”
Section: State Of the Art In Coin Image Analysismentioning
confidence: 99%
“…Figure 1 shows sample images for the considered collections of coins. Modern coins were acquired by a high-speed machine vision system for coin sorting described in detail by Fürst et al (2003). For ancient coins the setting is more general, images acquired by scanner and camera devices are considered.…”
Section: Introductionmentioning
confidence: 99%
“…1) addresses the above impetus in a step-wise manner that allows teams of students to study these principles at increasing levels of complexity so as to match their level of learning and engagement [8], [9]. While coin sorting mechanisms abound, the sub-tasks involved present several challenges including vision [10] and control [11], especially for autonomous operations. More generally, the coin sorting task has subproblems that involve each of the aforementioned algorithmic areas -end-effector position placement, velocity control (Jacobeans), object recognition, obstacle avoidance, system identification, autonomous operation, and underactuated (saturated) controls.…”
Section: Introductionmentioning
confidence: 99%