Paper Currency Sorter with Fingerprint Access Protection for Ethiopian Small and Medium Enterprises (SME)
[1]
Mary Charlemaine Angderson Abas, Department of Electrical and Electronics Technology, Federal Technological Institute – University, Addis Ababa, Ethiopia.
[2]
Patrick Dela Corte Cerna, Department of Information and Communication Technology, Federal Technological Institute – University, Addis Ababa, Ethiopia.
Money is a non-negotiable, indispensable commodity in every person’s life. The possession of money in itself is a resource and the usage of it can help acquire resources. Most of the things we use daily have monetary value, whether directly or indirectly. In Ethiopia, small and medium enterprises (SME) usually use a paper currency counter to put all of the money they have earned and received that is not in order and usually will cost a lot of time to organize. However, there has been a lot of challenges occurred in SME’s in sorting paper currency. Usually, SME owners experience during difficult times whenever there are many people gathering around their store to buy anything. The proposed design and implementation create an automated safekeeping machine, which acts as Paper Currency Sorter with Fingerprint Access Protection for Ethiopian SME’s. It will help them lessen their worries every time that the store will be jam-packed with customer. Since it is operated automatically, everything can be done smoothly and will definitely make them worry-free from any thieves because it has a special feature of registering your own fingerprint for access protection. This study will sort out money paper currency according to its color (value). It will also have a safety lock that can only determine the fingerprint of the owner. The study considers banknotes that are currently functional, i.e., 1 Birr, 5 Birr, 10 Birr, 50 Birr and 100 Birr. This design is strictly for sorting money and safekeeping. This design is not a fast paced sorter, and its precision is not perfect when it comes to the last paper bill to be sorted. The device will receive an error if the wrong value of money is sensed at the color sensor.
Color Sensor, Arduino, Paper Notes, SME, Ethiopia
[1]
F. Takeda and S. Omatu (1995). “High-speed paper currency recognition by neural networks”, IEEE Transaction on Neural Networks, 6 (1): 73-77.
[2]
Khojastehnazhand, M.; Omid, M.; and Tabatabaeefar, A. (2010). Development of a lemon sorting system based on colour and size. Journal of Plant Science, 4 (4), 122-127.
[3]
Avishay, D.; Pavlov, V; and Avramov, I. (2011). Designing and testing acalibrating procedure for combining the coordination systems of a handling robot and a stationed video camera. Robotics and Computer-Integrated Manufacturing, 27 (3), 514-520.
[4]
Dawkins, R. (2006). Unweaving the Rainbow: Science, Delusion and theAppetite for Wonder (1st ed.). United Kingdom: Penguin UK, Kensington.
[5]
Unay, D.; Gosselin, B.; Kleynen, O.; Leemans, V.; Destain, M.; and Debeir, O. (2011). Automatic grading of Bi-colored apples by multispectral machinevision. Computers and Electronics in Agriculture, 75 (1), 204-212.
[6]
Mehl, P. M.; Chen, Y. R.; Kim, M. S.; and Chan, D. E. (2004). Development ofhyperspectral imaging technique for the detection of apple surface defectsand contaminations. Journal of Food Engineering, 61 (1), 67-81.
[7]
https://buzzkenya.com/ethiopian-birr/
[8]
Zeggeye, J., and Assabie, Y. (2016). Automatic Recognition and Counterfeit Detection of Ethiopian Paper Currency. International Journal of Image, Graphics and Signal Processing, 8 (2), 28–36. https://doi.org/10.5815/ijigsp.2016.02.04
[9]
Reddy, D. V. K. (2014). Sorting of Objects Based on Colour By Pick and Place Robotic Arm and With. Conveyor Belt Arrangement. International Journal of Mechanical Engineering and Robotics Research. Vol 3, Issue 1.
[10]
Dhanoj, M, Reshma K. V., Sheeba V., and Marymol, P. (2015). Colour Sensor Based Object Sorting Robort Using Embedded System. Ijarcce, 4 (4), 619–622. https://doi.org/10.17148/IJARCCE.2015.44144
[11]
Gaikar, T. G., Zakobar S. N., Bhandari, R. S., Patil, S. S. (2016). Object Sorting using Color Sensor and Arduino. International Journal on Recent and Innovation Trends in Computing and Communication. Volume: 4 Issue: 4 483–486.
[12]
Joy, A. (2014). Object Sorting Robotic Arm Based on Colour, International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering. Vol. 3, Issue 3, pp. 7741–7746.
[13]
Arduino (2016). Arduino Mega 2560 Specification. Retrieved from https://www.arduino.cc/en/main/arduinoBoardMega2560. Accessed March 2016
[14]
DC Motor (2017). Retrieved from https://www.electrical4u.com/dc-motor-or-direct-current-motor/. Accessed January 2017
[15]
Color Sensor (2017). Retrieved from http://ams.com/eng/Products/Light-Sensors/Color-Sensors/TCS3200. Accessed January 2017
[16]
Servo Motor (2016). Zigbee Shield for Arduino. Retrieved from https://www.allaboutcircuits.com/projects/servo-motor-control-with-an-arduino/ Accessed July 2016
[17]
How Finger Print Scanner Works? Retrieved from http://www.bioelectronix.com/what_is_biometrics.html, http://ultimumvitae.com/Details/B019TPP1UK/KOOKYE-Optical-Fingerprint-Reader-Sensor-Module Accessed January 2017.