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Euro Banknote Recognition System for Blind People
- Source :
- Sensors, Vol 17, Iss 1, p 184 (2017), Sensors; Volume 17; Issue 1; Pages: 184, Sensors (Basel, Switzerland), RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia, instname
- Publication Year :
- 2017
- Publisher :
- MDPI AG, 2017.
-
Abstract
- [EN] This paper presents the development of a portable system with the aim of allowing blind people to detect and recognize Euro banknotes. The developed device is based on a Raspberry Pi electronic instrument and a Raspberry Pi camera, Pi NoIR (No Infrared filter) dotted with additional infrared light, which is embedded into a pair of sunglasses that permit blind and visually impaired people to independently handle Euro banknotes, especially when receiving their cash back when shopping. The banknote detection is based on the modified Viola and Jones algorithms, while the banknote value recognition relies on the Speed Up Robust Features (SURF) technique. The accuracies of banknote detection and banknote value recognition are 84% and 97.5%, respectively.<br />The work was supported by the project from the Generalitat Valenciana under the number GV/2014/015-Emergency projects.
- Subjects :
- Banknote
Engineering
Electronic instrument
EXPRESION GRAFICA EN LA INGENIERIA
Object detection
Visually impaired
02 engineering and technology
Blindness
lcsh:Chemical technology
01 natural sciences
Biochemistry
Article
object recognition
Analytical Chemistry
Raspberry pi
Image processing
0202 electrical engineering, electronic engineering, information engineering
Recognition system
Computer vision
lcsh:TP1-1185
Electrical and Electronic Engineering
Instrumentation
business.industry
banknote currency
010401 analytical chemistry
blindness
image processing
object detection
Object recognition
Atomic and Molecular Physics, and Optics
0104 chemical sciences
Banknote currency
020201 artificial intelligence & image processing
Artificial intelligence
business
Subjects
Details
- Language :
- English
- ISSN :
- 14248220
- Volume :
- 17
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Sensors
- Accession number :
- edsair.doi.dedup.....7c08d16beef5ce601829d36ec3d1232d