Intelligent high-speed, high-variant automation of universal coin sorting for charity organizations

Abstract

For the exact sorting of more than 300 tonnes and 2000 different categories of old and used coins with almost 100 percent recognition, a unique intelligent high-speed, high-variant automated coin sorting machine needed to be developed. Named after another money counting specialist, the machine we have developed is called "Dagobert". Based on optical recognition, different coins from about 100 countries have to be classified and sorted with a speed of up to 10 coins per second. In addition to information about the logistics, hardware and software components, control system and database, the story behind the collection of this large amount of money and the results of two years of production are also discussed.

Orientation Invariant Surface Classification Using Uncertainty Level Estimation

“…Many of them are based on the object's surface optical properties but use a different kind of sensors such as CCD cameras, spectroscopy [7], stereo vision, infrared light, and others. Optical sensors can capture colour, shape, texture, and other optical features; in many cases, it is a multiclass [8], [9] identification problem. Optical properties depend on lighting conditions; therefore, isolating objects from environment and implementing artificial lighting sources may be one of the most important key points of the system to work properly.…”