Accessing ATM using Eye Recognition Technology |
Author(s): |
| D. Sarathkumar , Department of EEE, Kongu Engineering College, Perundurai, Tamilnadu, India; A. Tameemul Hasan, Under Graduate students, Department of EEE, Kongu Engineering College, Perundurai, Tamilnadu, India; D. Subash, Under Graduate students, Department of EEE, Kongu Engineering College, Perundurai, Tamilnadu, India; T. Mylendiran, Under Graduate students, Department of EEE, Kongu Engineering College, Perundurai, Tamilnadu, India |
Keywords: |
| Biometric, Raspberry Pi, Monitors, Camera, HDMI, Eye Recognition, Irish |
Abstract |
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Biometric access systems have come a long way. Methods such as voice based access, speaker recognition, finger print recognition, password key systems and face recognition and eye recognition are a few important modes of biometric access systems. Raspberry pi is one of the modern techniques used in many fields. It can be interfaced with any device with which can be coordinated to do any work. Here in this project we developed a system where the system monitors the eyes of humans. The raspberry pi plays the main role of controlling all the peripherals. The camera is used for identifying the iris from the live feed. The outputs from the camera is sent to the raspberry pi. The raspberry pi process the image captured by the camera and match them with the database present in the raspberry pi which in turn analyze the inputs and processes them. Here the output device connected to the monitor through HDMI cable port. This paper presents about the Accessing ATM Using Eye Recognition Technology. |
Other Details |
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Paper ID: IJSRDV5I110132 Published in: Volume : 5, Issue : 11 Publication Date: 01/02/2018 Page(s): 162-165 |
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