Loading...
Publication
Text recognition for objects identification in the industry
| Name: | Description: | Size: | Format: | |
|---|---|---|---|---|
| 842.73 KB | Adobe PDF |
Authors
Advisor(s)
Abstract(s)
In line with 4th industrial revolution (Industry 4.0), the mechatronics and related areas
are fundamental to boost the developments of industry digitalization. However, it should not be
forgotten that artificial intelligence (AI) has a great preponderance on the development of
autonomous and intelligent systems incorporating the advances in mechatronics systems. It is
common in different industries the need to identify and recognize products or objects for different
purposes such as counts, quality control, selection of objects, among others. For these reasons,
pattern recognition is increasingly being used in systems on the shop floor, usually implemented in
computer vision systems with image processing in real time. This work focuses on automatic
detection and text recognition in unstructured images for use on shop floor mechatronic systems
with vision systems, to identify and recognize patterns in products. Unstructured images are
images that does not have a pre-defined image model or is not organized in a predefined manner.
Which means that there is no predefined calibration model, the system must identify and learn by
itself to recognize the text patterns. The techniques of character recognition, also known as OCR
(Optical Character Reader), are not new in the industry, however the use of machine learning
algorithms together with the existing techniques of OCR, allow endow the systems of greater
intelligence in the patterns recognition. The results achieved throughout the paper, demonstrates
that it is possible to identify and recognize text in objects based on unstructured images with a high
level of accuracy and that these algorithms can be used in real time applications.
Description
Keywords
Industry 4.0 Mechatronics Machine vision Machine learning Text recognition
Pedagogical Context
Citation
TORRES. Pedro M. B. (2017) - Text recognition for objects identification in the industry. International Journal of Mechatronics and Applied Mechanics. ISSN 2559-6497. Nº 1, p. 81-84